Teaching

Winter 2025:


CSE 291
CSE 190

Autumn 2024:


CSE 258
CSE 158
DSC 256
MGTA 461
CSE 258 fa23 (evaluations)
CSE 158 fa23 (evaluations)
DSC 256 fa23 (evaluations)
MGTA 461 fa23 (evaluations)
CSE 258 fa22 (evaluations)
CSE 158 fa22 (evaluations)
MGTA 461 fa22 (evaluations)
CSE 258 fa21 (evaluations)
CSE 158 fa21 (evaluations)
MGTA 461 fa21 (evaluations)
CSE 258 fa20 (evaluations)
CSE 158 fa20 (evaluations)
CSE 258 fa19 (evaluations)
CSE 158 fa19 (evaluations)
MGTA 495 fa19 (evaluations)
CSE 258 fa18 (evaluations)
CSE 158 fa18 (evaluations)
MGTA 495 fa18 (evaluations)
CSE 258 fa17 (evaluations)
CSE 158 fa17 (evaluations)
CSE 291 fa17 (evaluations)
CSE 258 wi17 (evaluations)
CSE 158 wi17 (evaluations)
CSE 190 fa15 (evaluations)
CSE 255 fa15 (evaluations)
CSE 190 sp15 (evaluations)
CSE 255 wi15 (evaluations)

Current PhD Students

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Raghav Jain, 2024-
Large Language Models
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Yu Xia, 2024-
Large Language Models
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Lei Zhang, 2024-
Vision and Language
images/xin.jpg
Xin Xu, 2024-
NLP and Music
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Jingyue Huang, 2024-
NLP and Music
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Haven Kim, 2024-
Computer Music
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Ashley Shin, 2024-
Recommender Systems
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Eduardo Escoto, 2024-
Recommender Systems
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Sheldon Yu, 2024-
Recommender Systems
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Junda Wu, 2023-
Machine Learning
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Sean O'Brien, 2023-
Large Language Models
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Ahmad Bin Rabiah, 2023-
Machine Learning
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Yupeng Hou, 2023-
Large Language Models
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Behrooz Mamandipoor, 2022-
Healthcare
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Yu Wang, 2022-
Machine Learning
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Zachary Novack, 2022-
Computer Music
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Petros Karypis, 2022-
Large Language Models
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Tianyang Liu, 2022-
Code Generation
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Parsa Assadi, 2021-
Privacy
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Zhouhang Xie, 2021-
Natural Language Processing
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Nafis Sadeq, 2021-
Speech Recognition
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Se-eun Yoon, 2021-
Graphs
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Zexue He, 2020-
Algorithmic Debiasing
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Jessica Echterhoff, 2019-
Algorithmic Debiasing

Postdocs

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Hyunsik Jeon, 2023-

Lab - Graduates

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Noveen Sachdeva, 2024
Google Deepmind
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Hao-Wen Dong, 2024
Asst. Professor, University of Michigan
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Erik Delanois, 2024
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Zhankui He, 2024
Google Deepmind
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An Yan, 2024
Salesforce
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Canwen Xu, 2024
Snowflake
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Brendan Duncan, 2023
Feeling Great
images/jiacheng.jpeg
Jiacheng Li, 2023
Meta
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Paarth Neekhara, 2023
Nvidia
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Bodhisattwa Prasad Majumder, 2023
AI2
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Shuyang Li, 2022
Meta
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Wang-Cheng Kang, 2020
Google Deepmind
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Jianmo Ni, 2020
Google Deepmind
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Mengting Wan, 2019
Microsoft Research
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Chris Donahue, 2019
Asst. Professor, CMU
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Zachary Lipton, 2017
Asst. Professor, CMU
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Ruining He, 2017
Google Deepmind

Sponsors

images/feelinggreat_logo.png Feeling Great
images/openai_logo.png Open AI
images/snap_logo.png Snap Inc
images/leap_logo.png Wellcome Leap
images/lowes_logo.png Lowe's
images/cisco_logo.png Cisco
images/sony_logo.png Sony
images/netflix_logo.png Netflix
images/google_logo.png Google
images/THD_logo.png The Home Depot
images/toyota_logo.png Toyota
images/meetelise_logo.png MeetElise
images/hyundai_logo.png Hyundai
images/sharechat_logo.png ShareChat
images/salesforce_logo.png Salesforce
images/facebook_logo.jpg Facebook
images/qualcomm_logo.png Qualcomm
images/dod_logo.png Department of Defense
images/intuit_logo.png Intuit
images/adobe_logo2.png Adobe
images/samsung_logo.png Samsung
images/flipkart_logo.png Flipkart
images/nsf_logo.png National Science Foundation
images/amazon_logo.png Amazon
images/symantec_logo.png Symantec
images/arc_logo.png Australian Research Council
images/nvidia_logo2.png Nvidia

Real science. Now in real time.


Julian McAuley

Professor

Room 4102 Computer Science Department @ UCSD

e-mail: ude.dscu.gne@yeluacmj

Personalized Machine Learning

My new book, Personalized Machine Learning, published by Cambridge University Press, is now available. See the book's website, as well as a freely-available pdf draft. images/book_cover.jpg

Links and Resources

Advice to Prospective Students

If you are considering internships, PhD applications, or project work, please read this advice first before contacting me about joining my lab

Advice to Students Requesting Reference Letters

Repository of Recommender Systems Datasets

A collection of datasets for recommender systems research is available on our lab's dataset webpage

Publications

2025

Reindex-then-adapt: Improving large language models for conversational recommendation
Zhankui He, Zhouhang Xie, Harald Steck, Dawen Liang, Rahul Jha, Nathan Kallus, Julian McAuley
Web Search and Data Mining (WSDM)
pdf | reviews |
@inproceedings{he25reindex,
  title = "Reindex-then-adapt: Improving large language models for conversational recommendation",
  author = "Zhankui He and Zhouhang Xie and Harald Steck and Dawen Liang and Rahul Jha and Nathan Kallus and Julian McAuley",
  year = "2025",
  booktitle = "WSDM"
}
images/netflix_logo.png
Your causal self-attentive recommender hosts a lonely neighborhood
Yueqi Wang, Zhankui He, Zhenrui Yue, Julian McAuley, Dong Wang
Web Search and Data Mining (WSDM)
reviews |
@inproceedings{wang25causal,
  title = "Your causal self-attentive recommender hosts a lonely neighborhood",
  author = "Yueqi Wang and Zhankui He and Zhenrui Yue and Julian McAuley and Dong Wang",
  year = "2025",
  booktitle = "WSDM"
}

2024

Contrastive classification via linear layer extrapolation
Mayukh Sharma, Sean O'Brien, Julian McAuley
EMNLP
reviews |
@inproceedings{sharma24contrastive,
  title = "Contrastive classification via linear layer extrapolation",
  author = "Mayukh Sharma and Sean O'Brien and Julian McAuley",
  year = "2024",
  booktitle = "EMNLP"
}
Mitigating hallucination in fictional character role-play
Nafis Sadeq, Zhouhang Xie, Byungkyu Kang, Prarit Lamba, Xiang Gao, Julian McAuley
Findings of EMNLP
pdf | reviews |
@inproceedings{sadeq24mitigating,
  title = "Mitigating hallucination in fictional character role-play",
  author = "Nafis Sadeq and Zhouhang Xie and Byungkyu Kang and Prarit Lamba and Xiang Gao and Julian McAuley",
  year = "2024",
  booktitle = "Findings of EMNLP"
}
images/intuit_logo.png
Train once, deploy anywhere: Matryoshka representation learning for multimodal recommendation
Yueqi Wang, Zhenrui Yue, Huimin Zeng, Dong Wang, Julian McAuley
Findings of EMNLP
reviews |
@inproceedings{wang24matryoshka,
  title = "Train once, deploy anywhere: Matryoshka representation learning for multimodal recommendation",
  author = "Yueqi Wang and Zhenrui Yue and Huimin Zeng and Dong Wang and Julian McAuley",
  year = "2024",
  booktitle = "Findings of EMNLP"
}
Cognitive bias in decision-making with LLMs
Jessica Echterhoff, Yao Liu, Abeer Alessa, Julian McAuley, Zexue He
Findings of EMNLP
pdf | reviews |
@inproceedings{echterhoff24cognitive,
  title = "Cognitive bias in decision-making with LLMs",
  author = "Jessica Echterhoff and Yao Liu and Abeer Alessa and Julian McAuley and Zexue He",
  year = "2024",
  booktitle = "Findings of EMNLP"
}
Neighborhood-based collaborative filtering for conversational recommendation
Zhouhang Xie, Junda Wu, Hyunsik Jeon, Zhankui He, Harald Steck, Rahul Jha, Dawen Liang, Nathan Kallus, Julian McAuley
RecSys
reviews |
@inproceedings{xie24neighborhood,
  title = "Neighborhood-based collaborative filtering for conversational recommendation",
  author = "Zhouhang Xie and Junda Wu and Hyunsik Jeon and Zhankui He and Harald Steck and Rahul Jha and Dawen Liang and Nathan Kallus and Julian McAuley",
  year = "2024",
  booktitle = "RecSys"
}
images/netflix_logo.png
MAWI Rec: Leveraging severe weather data in recommendation
Brendan Duncan, Surya Kallumadi, Taylor Berg-Kirkpatrick, Julian McAuley
RecSys
reviews |
@inproceedings{duncan24mawi,
  title = "MAWI Rec: Leveraging severe weather data in recommendation",
  author = "Brendan Duncan and Surya Kallumadi and Taylor Berg-Kirkpatrick and Julian McAuley",
  year = "2024",
  booktitle = "RecSys"
}
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Multi-behavior generative recommendation
Zihan Liu, Yupeng Hou, Julian McAuley
Conference on Information and Knowledge Management (CIKM)
pdf | reviews |
@inproceedings{liu24generative,
  title = "Multi-behavior generative recommendation",
  author = "Zihan Liu and Yupeng Hou and Julian McAuley",
  year = "2024",
  booktitle = "CIKM"
}
Calibration-disentangled learning and relevance-prioritized reranking for calibrated sequential recommendation
Hyunsik Jeon, Se-eun Yoon, Julian McAuley
Conference on Information and Knowledge Management (CIKM)
pdf | reviews |
@inproceedings{jeon24calibration,
  title = "Calibration-disentangled learning and relevance-prioritized reranking for calibrated sequential recommendation",
  author = "Hyunsik Jeon and Se-eun Yoon and Julian McAuley",
  year = "2024",
  booktitle = "CIKM"
}
Forecasting live chat intent from browsing history
Se-eun Yoon, Ahmad Bin Rabiah, Zaid Alibadi, Surya Kallumadi, Julian McAuley
Conference on Information and Knowledge Management (CIKM)
pdf | reviews |
@inproceedings{yoon24forecasting,
  title = "Forecasting live chat intent from browsing history",
  author = "Se-eun Yoon and Ahmad Bin Rabiah and Zaid Alibadi and Surya Kallumadi and Julian McAuley",
  year = "2024",
  booktitle = "CIKM"
}
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List items one by one: A new data source and learning paradigm for multimodal LLMs
An Yan, Zhengyuan Yang, Junda Wu, Wanrong Zhu, Jianwei Yang, Linjie Li, Kevin Lin, Jianfeng Wang, Julian McAuley, Jianfeng Gao, Lijuan Wang
Conference on Language Modeling (COLM)
pdf | reviews |
@inproceedings{yan24list,
  title = "List items one by one: A new data source and learning paradigm for multimodal LLMs",
  author = "An Yan, Zhengyuan Yang, Junda Wu, Wanrong Zhu, Jianwei Yang, Linjie Li, Kevin Lin, Jianfeng Wang, Julian McAuley, Jianfeng Gao, Lijuan Wang",
  year = "2024",
  booktitle = "COLM"
}
images/msr_logo.png
DITTO-2: Distilled diffusion inference-time T-optimization for music generation
Zachary Novack, Julian McAuley, Taylor Berg-Kirkpatrick, Nicholas Bryan
International Society for Music Information Retrieval Conference (ISMIR)
pdf | reviews |
@inproceedings{novack24ditto2,
  title = "DITTO-2: Distilled diffusion inference-time T-optimization for music generation",
  author = "Zachary Novack and Julian McAuley and Taylor Berg-Kirkpatrick and Nicholas Bryan",
  year = "2024",
  booktitle = "ISMIR"
}
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CoRAL: Collaborative retrieval-augmented large language models improve long-tail recommendation
Junda Wu, Eric Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian McAuley
Knowledge Discovery and Data Mining (KDD)
pdf | reviews |
@inproceedings{wu24collaborative,
  title = "CoRAL: Collaborative retrieval-augmented large language models improve long-tail recommendation",
  author = "Junda Wu, Eric Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian McAuley",
  year = "2024",
  booktitle = "KDD"
}
images/adobe_logo.png
A review of modern recommender systems using generative models
Yashar Deldjoo, Zhankui He, Julian McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano
Knowledge Discovery and Data Mining (KDD, tutorial track)
pdf |
@inproceedings{deldjoo24review,
  title = "A review of modern recommender systems using generative models",
  author = "Yashar Deldjoo and Zhankui He and Julian McAuley and Anton Korikov and Scott Sanner and Arnau Ramisa and René Vidal and Maheswaran Sathiamoorthy and Atoosa Kasirzadeh and Silvia Milano",
  year = "2024",
  booktitle = "KDD"
}
DeCoT: Debiasing chain-of-thought for knowledge-intensive tasks in large language models via causal intervention
Junda Wu, Tong Yu, Xiang Chen, Haoliang Wang, Ryan Rossi, Sungchul Kim, Anup Rao, Julian McAuley
Annual Meeting of the Association for Computational Linguistics (ACL)
reviews |
@inproceedings{wu24debiasing,
  title = "DeCoT: Debiasing chain-of-thought for knowledge-intensive tasks in large language models via causal intervention",
  author = "Junda Wu and Tong Yu and Xiang Chen and Haoliang Wang and Ryan Rossi and Sungchul Kim and Anup Rao and Julian McAuley",
  year = "2024",
  booktitle = "ACL"
}
images/adobe_logo.png
Small models are valuable plug-ins for large language models
Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian McAuley
Findings of ACL
pdf | reviews |
@inproceedings{xu24small,
  title = "Small models are valuable plug-ins for large language models",
  author = "Canwen Xu and Yichong Xu and Shuohang Wang and Yang Liu and Chenguang Zhu and Julian McAuley",
  year = "2024",
  booktitle = "Findings of ACL"
}
images/msr_logo.png
Few-shot dialogue strategy learning for motivational interviewing via inductive reasoning
Zhouhang Xie, Bodhisattwa Prasad Majumder, Mengjie Zhao, Yoshinori Maeda, Keiichi Yamada, Hiromi Wakaki, Julian McAuley
Findings of ACL
pdf | reviews |
@inproceedings{xie24dialogue,
  title = "Few-shot dialogue strategy learning for motivational interviewing via inductive reasoning",
  author = "Zhouhang Xie, Bodhisattwa Prasad Majumder, Mengjie Zhao, Yoshinori Maeda, Keiichi Yamada, Hiromi Wakaki, Julian McAuley",
  year = "2024",
  booktitle = "Findings of ACL"
}
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InstructGraph: Boosting large language models via graph-centric instruction tuning and preference alignment
Jianing Wang, Junda Wu, Yupeng Hou, Yao Liu, Ming Gao, Julian McAuley
Findings of ACL
pdf | reviews |
@inproceedings{wang24instruct,
  title = "InstructGraph: Boosting large language models via graph-centric instruction tuning and preference alignment",
  author = "Jianing Wang and Junda Wu and Yupeng Hou and Yao Liu and Ming Gao and Julian McAuley",
  year = "2024",
  booktitle = "Findings of ACL"
}
DITTO: Diffusion inference-time T-optimization for music generation
Zachary Novack, Julian McAuley, Taylor Berg-Kirkpatrick, Nicholas Bryan
International Conference on Machine Learning (ICML)
pdf | reviews |
@inproceedings{novack24ditto,
  title = "DITTO: Diffusion inference-time T-optimization for music generation",
  author = "Zachary Novack and Julian McAuley and Taylor Berg-Kirkpatrick and Nicholas Bryan",
  year = "2024",
  booktitle = "ICML"
}
images/adobe_logo.png
SelfVC: Voice conversion with iterative refinement using self transformations
Paarth Neekhara, Shehzeen Hussain, Rafael Valle, Boris Ginsburg, Rishabh Ranjan, Shlomo Dubnov, Farinaz Koushanfar, Julian McAuley
International Conference on Machine Learning (ICML)
pdf | reviews |
@inproceedings{neekhara24voice,
  title = "SelfVC: Voice conversion with iterative refinement using self transformations",
  author = "Paarth Neekhara and Shehzeen Hussain and Rafael Valle and Boris Ginsburg and Rishabh Ranjan and Shlomo Dubnov and Farinaz Koushanfar and Julian McAuley",
  year = "2024",
  booktitle = "ICML"
}
images/nvidia_logo.png
MEMORYLLM: Toward self-updating large language models
Yu Wang, Yifan Gao, Xiusi Chen, Haoming Jiang, Shiyang Li, Jingfeng Yang, Qingyu Yin, Zheng Li, Xian Li, Bing Yin, Jingbo Shang, Julian McAuley
International Conference on Machine Learning (ICML)
pdf | reviews |
@inproceedings{wang24memoryllm,
  title = "MEMORYLLM: Toward self-updating large language models",
  author = "Yu Wang and Yifan Gao and Xiusi Chen and Haoming Jiang and Shiyang Li and Jingfeng Yang and Qingyu Yin and Zheng Li and Xian Li and Bing Yin and Jingbo Shang and Julian McAuley",
  year = "2024",
  booktitle = "ICML"
}
Generating, reconstructing, and representing discrete and continuous data: generalized diffusion with learnable encoding-decoding
Guangyi Liu, Yu Wang, Zeyu Feng, Qiyu Wu, Liping Tang, Yuan Gao, Zhen Li, Shuguang Cui, Julian McAuley, Eric Xing, Zichao Yang, Zhiting Hu
International Conference on Machine Learning (ICML)
pdf | reviews |
@inproceedings{liu24generating,
  title = "Generating, reconstructing, and representing discrete and continuous data: generalized diffusion with learnable encoding-decoding",
  author = "Guangyi Liu and Yu Wang and Zeyu Feng and Qiyu Wu and Liping Tang and Yuan Gao and Zhen Li and Shuguang Cui and Julian McAuley and Eric Xing and Zichao Yang and Zhiting Hu",
  year = "2024",
  booktitle = "ICML"
}
Fair sequential recommendation without user demographics
Huimin Zeng, Zhankui He, Zhenrui Yue, Julian McAuley, Dong Wang
SIGIR
pdf | reviews |
@inproceedings{zeng24fair,
  title = "Fair sequential recommendation without user demographics",
  author = "Huimin Zeng and Zhankui He and Zhenrui Yue and Julian McAuley and Dong Wang",
  year = "2024",
  booktitle = "SIGIR"
}
Avoiding decision fatigue with AI-assisted decision-making
Jessica Echterhoff, Aditya Melkote, Sujen Kancherla, Julian McAuley
User Modeling, Adaptation and Personalization (UMAP)
reviews |
@inproceedings{echterhoff24user,
  title = "Avoiding decision fatigue with AI-assisted decision-making",
  author = "Jessica Echterhoff and Aditya Melkote and Sujen Kancherla and Julian McAuley",
  year = "2024",
  booktitle = "UMAP"
}
Evaluating large language models as generative user simulators for conversational recommendation
Se-eun Yoon, Zhankui He, Jessica Echterhoff, Julian McAuley
North American Chapter of the Association for Computational Linguistics (NAACL)
reviews |
@inproceedings{yoon24evaluating,
  title = "Evaluating large language models as generative user simulators for conversational recommendation",
  author = "Se-eun Yoon and Zhankui He and Jessica Echterhoff and Julian McAuley",
  year = "2024",
  booktitle = "NAACL"
}
Aligning as debiasing: Causality-aware alignment via reinforcement learning with interventional feedback
Yu Xia, Tong Yu, Zhankui He, Handong Zhao, Julian McAuley, Shuai Li
North American Chapter of the Association for Computational Linguistics (NAACL)
reviews |
@inproceedings{xia24aligning,
  title = "Aligning as debiasing: Causality-aware alignment via reinforcement learning with interventional feedback",
  author = "Yu Xia and Tong Yu and Zhankui He and Handong Zhao and Julian McAuley and Shuai Li",
  year = "2024",
  booktitle = "NAACL"
}
images/adobe_logo.png
Automatic pair construction for contrastive post-training
Canwen Xu, Corby Rosset, Ethan Chau, Luciano Del Corro, Shweti Mahajan, Julian McAuley, Jennifer Neville, Ahmed Hassan Awadallah, Nikhil Rao
Findings of NAACL
reviews |
@inproceedings{xu24automatic,
  title = "Automatic pair construction for contrastive post-training",
  author = "Canwen Xu and Corby Rosset and Ethan Chau and Luciano Del Corro and Shweti Mahajan and Julian McAuley and Jennifer Neville and Ahmed Hassan Awadallah and Nikhil Rao",
  year = "2024",
  booktitle = "Findings of NAACL"
}
images/msr_logo.png
Extending input contexts of language models through training on segmented sequences
Petros Karypis, Julian McAuley, George Karypis
Findings of NAACL
pdf | reviews |
@inproceedings{karypis24extending,
  title = "Extending input contexts of language models through training on segmented sequences",
  author = "Petros Karypis and Julian McAuley and George Karypis",
  year = "2024",
  booktitle = "Findings of NAACL"
}
Off-policy evaluation for large action spaces via policy convolution
Noveen Sachdeva, Lequn Wang, Dawen Liang, Nathan Kallus, Julian McAuley
World Wide Web (WWW)
pdf | reviews |
@inproceedings{sachdeva24policy,
  title = "Off-policy evaluation for large action spaces via policy convolution",
  author = "Noveen Sachdeva and Lequn Wang and Dawen Liang and Nathan Kallus and Julian McAuley",
  year = "2024",
  booktitle = "WWW"
}
images/netflix_logo.png
AgentCF: Collaborative learning with autonomous language agents for recommender systems
Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen
World Wide Web (WWW)
pdf | reviews |
@inproceedings{zhang24agentcf,
  title = "AgentCF: Collaborative learning with autonomous language agents for recommender systems",
  author = "Junjie Zhang and Yupeng Hou and Ruobing Xie and Wenqi Sun and Julian McAuley and Wayne Xin Zhao and Leyu Lin and Ji-Rong Wen",
  year = "2024",
  booktitle = "WWW"
}
InfoRank: Unbiased learning-to-rank via conditional mutual information minimization
Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian McAuley
World Wide Web (WWW)
pdf | reviews |
@inproceedings{jin24inforank,
  title = "InfoRank: Unbiased learning-to-rank via conditional mutual information minimization",
  author = "Jiarui Jin and Zexue He and Mengyue Yang and Weinan Zhang and Yong Yu and Jun Wang and Julian McAuley",
  year = "2024",
  booktitle = "WWW"
}
RepoBench: Benchmarking repository-level code auto-completion systems
Tianyang Liu, Canwen Xu, Julian McAuley
International Conference on Learning Representations (ICLR)
reviews |
@inproceedings{iclr24repobench,
  title = "RepoBench: Benchmarking repository-level code auto-completion systems",
  author = "Tianyang Liu and Canwen Xu and Julian McAuley",
  year = "2024",
  booktitle = "ICLR"
}
Large language models are zero-shot rankers for recommender systems
Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian McAuley, Wayne Xin Zhao
European Conference on Information Retrieval (ECIR)
reviews |
@inproceedings{hou24large,
  title = "Large language models are zero-shot rankers for recommender systems",
  author = "Yupeng Hou and Junjie Zhang and Zihan Lin and Hongyu Lu and Ruobing Xie and Julian McAuley and Wayne Xin Zhao",
  year = "2024",
  booktitle = "ECIR"
}
Deciphering compatibility relationships with textual descriptions via extraction and explanation
Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian McAuley
AAAI Conference on Artificial Intelligence (AAAI)
reviews |
@inproceedings{wang24deciphering,
  title = "Deciphering compatibility relationships with textual descriptions via extraction and explanation",
  author = "Yu Wang and Zexue He and Zhankui He and Hao Xu and Julian McAuley",
  year = "2024",
  booktitle = "AAAI"
}
RecWizard: A toolkit for conversational recommendation with modular, portable models and an interactive user interface
Zeyuan Zhang, Tanmay Laud, Zihang He, Xiaojie Chen, Xinshuang Liu, Zhouhang Xie, Julian McAuley, Zhankui He
AAAI Conference on Artificial Intelligence (AAAI, demo track)
reviews |
@inproceedings{zhang24recwizard,
  title = "RecWizard: A toolkit for conversational recommendation with modular, portable models and an interactive user interface",
  author = "Zeyuan Zhang and Tanmay Laud and Zihang He and Xiaojie Chen and Xinshuang Liu and Zhouhang Xie and Julian McAuley and Zhankui He",
  year = "2024",
  booktitle = "AAAI"
}
Driving through the concept gridlock: Unraveling explainability bottlenecks in automated driving
Jessica Echterhoff, An Yan, Kyungtae Han, Amr Abdelraouf, Rohit Gupta, Julian McAuley
Winter Conference on Applications of Computer Vision (WACV)
reviews |
@inproceedings{echterhoff24driving,
  title = "Driving through the concept gridlock: Unraveling explainability bottlenecks in automated driving",
  author = "Jessica Echterhoff and An Yan and Kyungtae Han and Amr Abdelraouf and Rohit Gupta and Julian McAuley",
  year = "2024",
  booktitle = "Winter Conference on Applications of Computer Vision"
}
images/toyota_logo.png
Linear recurrent units for sequential recommendation
Zhenrui Yue, Yueqi Wang, Zhankui He, Huimin Zeng, Julian McAuley, Dong Wang
Web Search and Data Mining (WSDM)
pdf | reviews |
@inproceedings{yue24linear,
  title = "Linear recurrent units for sequential recommendation",
  author = "Zhenrui Yue and Yueqi Wang and Zhankui He and Huimin Zeng and Julian McAuley and Dong Wang",
  year = "2024",
  booktitle = "WSDM"
}
Transferable sequential recommendation via vector quantized meta learning
Zhenrui Yue, Huimin Zeng, Yang Zhang, Julian McAuley, Dong Wang
IEEE International Conference on Big Data
reviews |
@inproceedings{yue24transferable,
  title = "Transferable sequential recommendation via vector quantized meta learning",
  author = "Zhenrui Yue and Huimin Zeng and Yang Zhang and Julian McAuley and Dong Wang",
  year = "2024",
  booktitle = "IEEE BigData"
}
Self-supervised bot play for transcript-free conversational critiquing with rationales
Shuyang Li, Bodhisattwa Prasad Majumder, Julian McAuley
ACM Transactions on Recommender Systems
reviews |
@article{li24bot,
  title = "Self-supervised bot play for transcript-free conversational critiquing with rationales",
  author = "Shuyang Li and Bodhisattwa Prasad Majumder and Julian McAuley",
  year = "2024",
  journal = "ACM Transactions on Recommender Systems"
}
On the opportunities and challenges of offline reinforcement learning for recommender systems
Xiaocong Chen, Siyu Wang, Julian McAuley, Dietmar Jannach, Lina Yao
ACM Transactions on Information Systems
pdf | reviews |
@article{chen24opportunities,
  title = "On the opportunities and challenges of offline reinforcement learning for recommender systems",
  author = "Xiaocong Chen and Siyu Wang and Julian McAuley and Dietmar Jannach and Lina Yao",
  year = "2024",
  journal = "ACM Transactions on Information Systems"
}
FaceSigns: Semi-fragile watermarks for media authentication
Paarth Neekhara, Shehzeen Hussain, Xinqiao Zhang, Farinaz Koushanfar, Julian McAuley
IEEE Transactions on Multimedia Computing Communications and Applications
reviews |
@article{neekhara24facesigns,
  title = "FaceSigns: Semi-fragile watermarks for media authentication",
  author = "Paarth Neekhara and Shehzeen Hussain and Xinqiao Zhang and Farinaz Koushanfar and Julian McAuley",
  year = "2024",
  journal = "IEEE Transactions on Multimedia Computing Communications and Applications"
}
Stabilizing recommendations by rank-preserving fine-tuning
Sejoon Oh, Berk Ustun, Julian McAuley, Srijan Kumar
ACM Transactions on Knowledge Discovery from Data
pdf | reviews |
@article{oh24stabilizing,
  title = "Stabilizing recommendations by rank-preserving fine-tuning",
  author = "Sejoon Oh and Berk Ustun and Julian McAuley and Srijan Kumar",
  year = "2024",
  journal = "ACM Transactions on Knowledge Discovery from Data"
}
A survey on large language models for critical societal domains: Finance, Healthcare, and Law
Zhiyu Chen, Jing Ma, Xinlu Zhang, Nan Hao, An Yan, Armineh Nourbakhsh, Xianjun Yang, Julian McAuley, Linda Ruth Petzold, William Yang Wang
Transactions on Machine Learning Research (TMLR)
pdf | reviews |
@article{chen24survey,
  title = "A survey on large language models for critical societal domains: Finance, Healthcare, and Law",
  author = "Zhiyu Chen and Jing Ma and Xinlu Zhang and Nan Hao and An Yan and Armineh Nourbakhsh and Xianjun Yang and Julian McAuley and Linda Ruth Petzold and William Yang Wang",
  year = "2024",
  journal = "TMLR"
}

2023

Baize: An open-source chat model with parameter-efficient tuning on self-chat data
Canwen Xu, Daya Guo, Nan Duan, Julian McAuley
EMNLP
pdf | reviews |
@inproceedings{xu23baize,
  title = "Baize: An open-source chat model with parameter-efficient tuning on self-chat data",
  author = "Canwen Xu and Daya Guo and Nan Duan and Julian McAuley",
  year = "2023",
  booktitle = "EMNLP"
}
Spoiler detection as semantic text matching
Ryan Tran, Canwen Xu, Julian McAuley
EMNLP
reviews |
@inproceedings{tran23spoiler,
  title = "Spoiler detection as semantic text matching",
  author = "Ryan Tran and Canwen Xu and Julian McAuley",
  year = "2023",
  booktitle = "EMNLP"
}
M4: A Multi-level, Multi-task, and Multi-domain Medical benchmark for language model evaluation
Zexue He, Yu Wang, An Yan, Yao Liu, Eric Y Chang, Amilcare Gentili, Julian McAuley, Chun-Nan Hsu
EMNLP
reviews |
@inproceedings{he23m4,
  title = "M4: A Multi-level, Multi-task, and Multi-domain Medical benchmark for language model evaluation",
  author = "Zexue He and Yu Wang and An Yan and Yao Liu and Eric Y Chang and Amilcare Gentili and Julian McAuley and Chun-Nan Hsu",
  year = "2023",
  booktitle = "EMNLP"
}
Debiasing with natural language feedback for fair interpretable predictions
Bodhisattwa Prasad Majumder, Zexue He, Julian McAuley
EMNLP
pdf | reviews |
@inproceedings{majumder23interfair,
  title = "Debiasing with natural language feedback for fair interpretable predictions",
  author = "Bodhisattwa Prasad Majumder and Zexue He and Julian McAuley",
  year = "2023",
  booktitle = "EMNLP"
}
Improving robustness of convolutional networks through sleep-like replay
Erik Delanois, Maxim Bazhenov, Julian McAuley, Giri Krishnan, Aditya Ahuja, Timothy Tadros
International Conference on Machine Learning and Applications (ICMLA)
reviews |
@inproceedings{delanois23improving,
  title = "Improving robustness of convolutional networks through sleep-like replay",
  author = "Erik Delanois and Maxim Bazhenov and Julian McAuley and Giri Krishnan and Aditya Ahuja and Timothy Tadros",
  year = "2023",
  booktitle = "ICMLA"
}
Large language models as zero-shot conversational recommenders
Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Majumder, Nathan Kallus, Julian McAuley
Conference on Information and Knowledge Management (CIKM)
reviews |
@inproceedings{he23large,
  title = "Large language models as zero-shot conversational recommenders",
  author = "Zhankui He and Zhouhang Xie and Rahul Jha and Harald Steck and Dawen Liang and Yesu Feng and Bodhisattwa Majumder and Nathan Kallus and Julian McAuley",
  year = "2023",
  booktitle = "CIKM"
}
images/netflix_logo.png
Learning concise and descriptive attributes for visual recognition
An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Wang, Jingbo Shang, Julian McAuley
International Conference on Computer Vision (ICCV)
reviews |
@inproceedings{yan23learning,
  title = "Learning concise and descriptive attributes for visual recognition",
  author = "An Yan and Yu Wang and Yiwu Zhong and Chengyu Dong and Zexue He and Yujie Lu and William Wang and Jingbo Shang and Julian McAuley",
  year = "2023",
  booktitle = "ICCV"
}
CLIPSonic: Text-to-audio synthesis with unlabeled videos and pretrained language-vision models
Hao-Wen Dong, Xiaoyu Liu, Jordi Pons, Gautam Bhattacharya, Santiago Pascual, Joan Serra, Taylor Berg-Kirkpatrick, Julian McAuley
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)
pdf | reviews |
@inproceedings{dong23clipsonic,
  title = "CLIPSonic: Text-to-audio synthesis with unlabeled videos and pretrained language-vision models",
  author = "Hao-Wen Dong and Xiaoyu Liu and Jordi Pons and Gautam Bhattacharya and Santiago Pascual and Joan Serra and Taylor Berg-Kirkpatrick and Julian McAuley",
  year = "2023",
  booktitle = "WASPAA"
}
images/dolby_logo.png
Unifying aspect planning and lexical constraints for generating explanations in recommendation
Jiacheng Li, Zhankui He, Jingbo Shang, Julian McAuley
Knowledge Discovery and Data Mining (KDD)
pdf | reviews | code |
@inproceedings{li23unifying,
  title = "Unifying aspect planning and lexical constraints for generating explanations in recommendation",
  author = "Jiacheng Li and Zhankui He and Jingbo Shang and Julian McAuley",
  year = "2023",
  booktitle = "KDD"
}
Text is all you need: Learning language representations for sequential recommendation
Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, Julian McAuley
Knowledge Discovery and Data Mining (KDD)
pdf | reviews | code |
@inproceedings{li23text,
  title = "Text is all you need: Learning language representations for sequential recommendation",
  author = "Jiacheng Li and Ming Wang and Jin Li and Jinmiao Fu and Xin Shen and Jingbo Shang and Julian McAuley",
  year = "2023",
  booktitle = "KDD"
}
images/amazon_logo.png
Generative flow networks for listwise recommendation
Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian McAuley, Dong Zheng, Peng Jiang, Kun Gai
Knowledge Discovery and Data Mining (KDD)
pdf | reviews |
@inproceedings{liu23generative,
  title = "Generative flow networks for listwise recommendation",
  author = "Shuchang Liu and Qingpeng Cai and Zhankui He and Bowen Sun and Julian McAuley and Dong Zheng and Peng Jiang and Kun Gai",
  year = "2023",
  booktitle = "KDD"
}
images/kuaishou_logo.png
Adversarially detecting and remedying inconsistencies in natural language explanations
Myeongjun Jang, Bodhisattwa Prasad Majumder, Julian McAuley, Thomas Lukasiewicz, Oana-Maria Camburu
Annual Meeting of the Association for Computational Linguistics (ACL)
reviews |
@inproceedings{jang23adversarially,
  title = "Adversarially detecting and remedying inconsistencies in natural language explanations",
  author = "Myeongjun Jang and Bodhisattwa Prasad Majumder and Julian McAuley and Thomas Lukasiewicz and Oana-Maria Camburu",
  year = "2023",
  booktitle = "ACL"
}
Synthetic pre-training tasks for neural machine translation
Zexue He, Graeme Blackwood, Rameswar Panda, Julian McAuley, Rogerio Feris
Findings of ACL
pdf | reviews |
@inproceedings{he23synthetic,
  title = "Synthetic pre-training tasks for neural machine translation",
  author = "Zexue He and Graeme Blackwood and Rameswar Panda and Julian McAuley and Rogerio Feris",
  year = "2023",
  booktitle = "Findings of ACL"
}
images/ibm_logo.png
LongCoder: A long-range pre-trained language model for code completion
Daya Guo, Canwen Xu, Nan Duan, Jian Yin, Julian McAuley
International Conference on Machine Learning (ICML)
reviews |
@inproceedings{guo23longcoder,
  title = "LongCoder: A long-range pre-trained language model for code completion",
  author = "Daya Guo and Canwen Xu and Nan Duan and Jian Yin and Julian McAuley",
  year = "2023",
  booktitle = "ICML"
}
images/msr_logo.png
CHiLS: Zero-shot image classification with hierarchical label sets
Zachary Novack, Saurabh Garg, Julian McAuley, Zachary Chase Lipton
International Conference on Machine Learning (ICML)
pdf | reviews |
@inproceedings{novack23chils,
  title = "Zero-shot image classification with hierarchical label sets",
  author = "Zachary Novack and Saurabh Garg and Julian McAuley and Zachary Chase Lipton",
  year = "2023",
  booktitle = "ICML"
}
Personalized Showcases: Generating multi-modal explanations for recommendations
An Yan, Zhankui He, Jiacheng Li, Tianyang Zhang, Julian McAuley
SIGIR
pdf | reviews |
@inproceedings{yan23showcases,
  title = "Personalized Showcases: Generating multi-modal explanations for recommendations",
  author = "An Yan and Zhankui He and Jiacheng Li and Tianyang Zhang and Julian McAuley",
  year = "2023",
  booktitle = "SIGIR"
}
Multitrack music transformer
Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian McAuley, Taylor Berg-Kirkpatrick
International Conference on Acoustics Speech and Signal Processing (ICASSP)
pdf | reviews |
@inproceedings{dong23multitrack,
  title = "Multitrack music transformer",
  author = "Hao-Wen Dong and Ke Chen and Shlomo Dubnov and Julian McAuley and Taylor Berg-Kirkpatrick",
  year = "2023",
  booktitle = "ICASSP"
}
Mirror: A natural language interface for data querying, summarization, and visualization
Canwen Xu, Julian McAuley, Penghan Wang
World Wide Web (WWW, demo track)
reviews |
@inproceedings{xu23mirror,
  title = "Mirror: A natural language interface for data querying, summarization, and visualization",
  author = "Canwen Xu, Julian McAuley, Penghan Wang",
  year = "2023",
  booktitle = "WWW"
}
images/cisco_logo.png
Jointly modeling products and resource pages for task-oriented recommendation
Brendan Duncan, Surya Kallumadi, Taylor Berg-Kirkpatrick, Julian McAuley
World Wide Web (WWW, industry track)
reviews |
@inproceedings{duncan23jointly,
  title = "Jointly modeling products and resource pages for task-oriented recommendation",
  author = "Brendan Duncan and Surya Kallumadi and Taylor Berg-Kirkpatrick and Julian McAuley",
  year = "2023",
  booktitle = "WWW"
}
images/lowes_logo.png
Learning vector-quantized item representation for transferable sequential recommenders
Yupeng Hou, Zhankui He, Julian McAuley, Wayne Xin Zhao
World Wide Web (WWW)
pdf | reviews | code |
@inproceedings{hou23vector,
  title = "Learning vector-quantized item representation for transferable sequential recommenders",
  author = "Yupeng Hou and Zhankui He and Julian McAuley and Wayne Xin Zhao",
  year = "2023",
  booktitle = "WWW"
}
Unsupervised improvement of factual knowledge in language models
Nafis Sadeq, Byungkyu Kang, Prarit Lamba, Julian McAuley
European Chapter of the Association for Computational Linguistics (EACL)
reviews |
@inproceedings{sadeq23unsupervised,
  title = "Unsupervised improvement of factual knowledge in language models",
  author = "Nafis Sadeq and Byungkyu Kang and Prarit Lamba and Julian McAuley",
  year = "2023",
  booktitle = "EACL"
}
images/intuit_logo.png
Assistive recipe editing through critiquing
Diego Antognini, Shuyang Li, Boi Faltings, Julian McAuley
European Chapter of the Association for Computational Linguistics (EACL)
pdf | reviews |
@inproceedings{antognini23assistive,
  title = "Assistive recipe editing through critiquing",
  author = "Diego Antognini and Shuyang Li and Boi Faltings and Julian McAuley",
  year = "2023",
  booktitle = "EACL"
}
A survey on dynamic neural networks for natural language processing
Canwen Xu, Julian McAuley
Findings of EACL
pdf | reviews |
@inproceedings{xu23surveyDNN,
  title = "A survey on dynamic neural networks for natural language processing",
  author = "Canwen Xu and Julian McAuley",
  year = "2023",
  booktitle = "Findings of EACL"
}
CLIPSep: Learning text-queried sound separation with noisy unlabeled videos
Hao-Wen Dong, Naoya Takahashi, Yuki Mitsufuji, Julian McAuley, Taylor Berg-Kirkpatrick
International Conference on Learning Representations (ICLR)
pdf | reviews |
@inproceedings{dong23clip,
  title = "CLIPSep: Learning text-queried sound separation with noisy unlabeled videos",
  author = "Hao-Wen Dong and Naoya Takahashi and Yuki Mitsufuji and Julian McAuley and Taylor Berg-Kirkpatrick",
  year = "2023",
  booktitle = "ICLR"
}
images/sony_logo.png
A survey on model compression and acceleration for pretrained language models
Canwen Xu, Julian McAuley
AAAI Conference on Artificial Intelligence (AAAI)
pdf | reviews |
@inproceedings{xu23survey,
  title = "A survey on model compression and acceleration for pretrained language models",
  author = "Canwen Xu and Julian McAuley",
  year = "2023",
  booktitle = "AAAI"
}
Factual and informative review generation for explainable recommendation
Zhouhang Xie, Sameer Singh, Julian McAuley, Bodhisattwa Majumder
AAAI Conference on Artificial Intelligence (AAAI)
pdf | reviews |
@inproceedings{xie23factual,
  title = "Factual and informative review generation for explainable recommendation",
  author = "Zhouhang Xie and Sameer Singh and Julian McAuley and Bodhisattwa Majumder",
  year = "2023",
  booktitle = "AAAI"
}
Disambiguating medical reports via contrastive knowledge infusion
Zexue He, An Yan, Amilcare Gentili, Julian McAuley, Chun-Nan Hsu
AAAI Conference on Artificial Intelligence (AAAI, AI for Social Impact Track)
pdf | reviews |
@inproceedings{he23disambiguating,
  title = "Disambiguating medical reports via contrastive knowledge infusion",
  author = "Zexue He and An Yan and Amilcare Gentili and Julian McAuley and Chun-Nan Hsu",
  year = "2023",
  booktitle = "AAAI"
}
Exploiting explicit and implicit item relationships for session-based recommendation
Zihao Li, Xianzhi Wang, Chao Yang, Lina Yao, Julian McAuley, Guandong Xu
Web Search and Data Mining (WSDM)
reviews |
@inproceedings{li23exploiting,
  title = "Exploiting explicit and implicit item relationships for session-based recommendation",
  author = "Zihao Li and Xianzhi Wang and Chao Yang and Lina Yao and Julian McAuley and Guandong Xu",
  year = "2023",
  booktitle = "WSDM"
}
Violence against women on Twitter in India: testing a taxonomy for online misogyny and measuring its prevalence during COVID-19
Nabamallika Dehingia, Julian McAuley, Lotus McDougal, Elizabeth Reed, Jay Silverman, Lianne Urada, Anita Raj
PLOS One
@article{dehingia23violence,
  title = "Violence against women on Twitter in India: testing a taxonomy for online misogyny and measuring its prevalence during COVID-19",
  author = "Nabamallika Dehingia and Julian McAuley and Lotus McDougal and Elizabeth Reed and Jay Silverman and Lianne Urada and Anita Raj",
  year = "2023",
  journal = "PLOS One"
}
Diversity-boosted generalization-specialization balancing for zero-shot learning
Yun Li, Zhe Liu, Xiaojun Chang, Julian McAuley, Lina Yao
IEEE Transactions on Multimedia
pdf | reviews |
@article{li23diversity,
  title = "Diversity-boosted generalization-specialization balancing for zero-shot learning",
  author = "Yun Li and Zhe Liu and Xiaojun Chang and Julian McAuley and Lina Yao",
  year = "2023",
  journal = "IEEE Transactions on Multimedia"
}
Climate and gender: Association between droughts and intimate partner violence in India
Nabamallika Dehingia, Lotus McDougal, Jay Silverman, Elizabeth Reed, Lianne Urada, Julian McAuley, Abhishek Singh, Anita Raj
American Journal of Epidemiology
reviews |
@article{dehingia23climate,
  title = "Climate and gender: Association between droughts and intimate partner violence in India",
  author = "Nabamallika Dehingia and Lotus McDougal and Jay Silverman and Elizabeth Reed and Lianne Urada and Julian McAuley and Abhishek Singh and Anita Raj",
  year = "2023",
  journal = "American Journal of Epidemiology"
}
A review of modern fashion recommender systems
Yashar Deldjoo, Fatemeh Nazary, Arnau Ramisa, Julian McAuley, Giovanni Pellegrini, Alejandro Bellogin, Tommaso Di Noia
ACM Computing Surveys (CSUR)
pdf | reviews |
@article{deldjoo23review,
  title = "A review of modern fashion recommender systems",
  author = "Yashar Deldjoo and Fatemeh Nazary and Arnau Ramisa and Julian McAuley and Giovanni Pellegrini and Alejandro Bellogin and Tommaso Di Noia",
  year = "2023",
  journal = "ACM Computing Surveys"
}
Deep reinforcement learning in recommender systems: A survey and new perspectives
Xiaocong Chen, Lina Yao, Julian McAuley, Guanglin Zhou, Xianzhi Wang
Knowledge-Based Systems
pdf | reviews |
@article{chen23reinforcement,
  title = "Deep reinforcement learning in recommender systems: A survey and new perspectives",
  author = "Xiaocong Chen and Lina Yao and Julian McAuley and Guanglin Zhou and Xianzhi Wang",
  year = "2023",
  journal = "Knowledge-Based Systems"
}
How large language models can augment perioperative medicine
Rodney Gabriel, Edward Mariano, Julian McAuley, Christopher Wu
Regional Anesthesia & Pain Medicine
reviews |
@article{chen23reinforcement,
  title = "How large language models can augment perioperative medicine",
  author = "Rodney Gabriel and Edward Mariano and Julian McAuley and Christopher Wu",
  year = "2023",
  journal = "Regional Anesthesia and Pain Medicine"
}
Robust multi-view fracture detection in the presence of other abnormalities using HAMIL-Net
Xing Lu, Eric Chang, Jiang Du, An Yan, Julian McAuley, Amilcare Gentili, Chun-Nan Hsu
Military Medicine
reviews |
@article{lu23robust,
  title = "Robust multi-view fracture detection in the presence of other abnormalities using HAMIL-Net",
  author = "Xing Lu and Eric Chang and Jiang Du and An Yan and Julian McAuley and Amilcare Gentili and Chun-Nan Hsu",
  year = "2023",
  journal = "Military Medicine"
}
Data distillation: A survey
Noveen Sachdeva, Julian McAuley
Transactions on Machine Learning Research (TMLR)
pdf | reviews |
@article{sachdeva23data,
  title = "Data distillation: A survey",
  author = "Noveen Sachdeva and Julian McAuley",
  year = "2023",
  journal = "TMLR"
}
Plug-and-play model-agnostic counterfactual policy synthesis for deep reinforcement learning based recommendation
Siyu Wang, Xiaocong Chen, Julian McAuley, Sally Cripps, Lina Yao
IEEE Transactions on Neural Networks and Learning Systems
reviews |
@article{wang23plug,
  title = "Plug-and-play model-agnostic counterfactual policy synthesis for deep reinforcement learning based recommendation",
  author = "Siyu Wang and Xiaocong Chen and Julian McAuley and Sally Cripps and Lina Yao",
  year = "2023",
  journal = "IEEE Transactions on Neural Networks and Learning Systems"
}

2022

SHARE: A system for hierarchical assistive recipe editing
Shuyang Li, Yufei Li, Jianmo Ni, Julian McAuley
EMNLP
pdf | reviews |
@inproceedings{li22share,
  title = "SHARE: A system for hierarchical assistive recipe editing",
  author = "Shuyang Li and Yufei Li and Jianmo Ni and Julian McAuley",
  year = "2022",
  booktitle = "EMNLP"
}
Efficiently tuned parameters are task embeddings
Wangchunshu Zhou, Canwen Xu, Julian McAuley
EMNLP
pdf | reviews |
@inproceedings{zhou22efficiently,
  title = "Efficiently tuned parameters are task embeddings",
  author = "Wangchunshu Zhou and Canwen Xu and Julian McAuley",
  year = "2022",
  booktitle = "EMNLP"
}
InforMask: Unsupervised informative masking for language model pretraining
Nafis Sadeq, Canwen Xu, Julian McAuley
EMNLP
pdf | reviews |
@inproceedings{sadeq22informask,
  title = "InforMask: Unsupervised informative masking for language model pretraining",
  author = "Nafis Sadeq and Canwen Xu and Julian McAuley",
  year = "2022",
  booktitle = "EMNLP"
}
Controlling bias exposure for fair interpretable predictions
Zexue He, Yu Wang, Bodhisattwa Prasad Majumder, Julian McAuley
Findings of EMNLP
pdf | reviews |
@inproceedings{he22controlling,
  title = "Controlling bias exposure for fair interpretable predictions",
  author = "Zexue He and Yu Wang and Bodhisattwa Prasad Majumdera and Julian McAuley",
  year = "2022",
  booktitle = "Findings of EMNLP"
}
Infinite recommendation networks: A data-centric approach
Noveen Sachdeva, Mehak Preet Dhaliwal, Carole-Jean Wu, Julian McAuley
Neural Information Processing Systems (NeurIPS)
pdf | reviews |
@inproceedings{sachdeva22infinite,
  title = "Infinite recommendation networks: A data-centric approach",
  author = "Noveen Sachdeva and Mehak Preet Dhaliwal and Carole-Jean Wu and Julian McAuley",
  year = "2022",
  booktitle = "NeurIPS"
}
images/meta_logo.png
Rank list sensitivity of recommender systems to interaction perturbations
Sejoon Oh, Berk Ustun, Julian McAuley, Srijan Kumar
Conference on Information and Knowledge Management (CIKM)
pdf | reviews |
@inproceedings{oh22rank,
  title = "Rank list sensitivity of recommender systems to interaction perturbations",
  author = "Sejoon Oh and Berk Ustun and Julian McAuley and Srijan Kumar",
  year = "2022",
  booktitle = "CIKM"
}
SPOT: Knowledge-enhanced language representations for information extraction
Jiacheng Li, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Andrew Bartko, Julian McAuley, Chun-Nan Hsu
Conference on Information and Knowledge Management (CIKM)
pdf | reviews |
@inproceedings{li22spot,
  title = "Knowledge-enhanced language representations for information extraction",
  author = "Jiacheng Li and Yannis Katsis and Tyler Baldwin and Ho-Cheol Kim and Andrew Bartko and Julian McAuley and Chun-Nan Hsu",
  year = "2022",
  booktitle = "CIKM"
}
Query-aware sequential recommendation
Zhankui He, Handong Zhao, Zhaowen Wang, Zhe Lin, Ajinkya Kale, Julian McAuley
Conference on Information and Knowledge Management (CIKM)
pdf | reviews |
@inproceedings{he22query,
  title = "Query-aware sequential recommendation",
  author = "Zhankui He and Handong Zhao and Zhaowen Wang and Zhe Lin and Ajinkya Kale and Julian McAuley",
  year = "2022",
  booktitle = "CIKM"
}
images/adobe_logo.png
Improving choral music separation through expressive synthesized data from sampled instruments
Ke Chen, Hao-Wen Dong, Yi Luo, Julian McAuley, Taylor Berg-Kirkpatrick, Miller Puckette, Shlomo Dubnov
International Society for Music Information Retrieval Conference (ISMIR)
pdf | reviews |
@inproceedings{chen22improving,
  title = "Improving choral music separation through expressive synthesized data from sampled instruments",
  author = "Ke Chen and Hao-Wen Dong and Yi Luo and Julian McAuley and Taylor Berg-Kirkpatrick and Miller Puckette and Shlomo Dubnov",
  year = "2022",
  booktitle = "ISMIR"
}
Self-supervised bot play for transcript-free conversational recommendation with rationales
Shuyang Li, Bodhisattwa Prasad Majumder, Julian McAuley
RecSys
pdf | reviews |
@inproceedings{li22bot,
  title = "Self-supervised bot play for transcript-free conversational recommendation with rationales",
  author = "Shuyang Li and Bodhisattwa Prasad Majumder and Julian McAuley",
  year = "2022",
  booktitle = "RecSys"
}
Bundle MCR: Towards conversational bundle recommendation
Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian McAuley
RecSys
pdf | reviews |
@inproceedings{he22bundle,
  title = "Bundle MCR: Towards conversational bundle recommendation",
  author = "Zhankui He and Handong Zhao and Tong Yu and Sungchul Kim and Fan Du and Julian McAuley",
  year = "2022",
  booktitle = "RecSys"
}
images/adobe_logo.png
Fast autoregressive transformers meet RNNs for personalized adaptive cruise control
Noveen Sachdeva, Ziran Wang, Kyungtae Han, Rohit Gupta, Julian McAuley
IEEE International Conference on Intelligent Transportation Systems (ITSC)
pdf | reviews |
@inproceedings{sachdeva22gapformer,
  title = "Fast autoregressive transformers meet RNNs for personalized adaptive cruise control",
  author = "Noveen Sachdeva and Ziran Wang and Kyungtae Han and Rohit Gupta and Julian McAuley",
  year = "2022",
  booktitle = "IEEE International Conference on Intelligent Transportation Systems"
}
images/toyota_logo.png
Knowledge-grounded self-rationalization via extractive and natural language explanations
Bodhisattwa Prasad Majumder, Oana Camburu, Thomas Lukasiewicz, Julian McAuley
International Conference on Machine Learning (ICML)
pdf | reviews |
@inproceedings{majumder22knowledge,
  title = "Knowledge-grounded self-rationalization via extractive and natural language explanations",
  author = "Bodhisattwa Prasad Majumder and Oana Camburu and Thomas Lukasiewicz and Julian McAuley",
  year = "2022",
  booktitle = "ICML"
}
Automatic multi-label prompting: Simple and interpretable few-shot classification
Han Wang, Canwen Xu, Julian McAuley
North American Chapter of the Association for Computational Linguistics (NAACL)
pdf | reviews |
@inproceedings{wang22automatic,
  title = "Automatic multi-label prompting: Simple and interpretable few-shot classification",
  author = "Han Wang and Canwen Xu and Julian McAuley",
  year = "2022",
  booktitle = "NAACL"
}
Instilling type knowledge in language models via multi-task QA
Shuyang Li, Mukund Sridhar, Chandana Satya Prakash, Jin Cao, Wael Hamza, Julian McAuley
Findings of NAACL
pdf | reviews |
@inproceedings{li22instilling,
  title = "Instilling type knowledge in language models via multi-task QA",
  author = "Shuyang Li and Mukund Sridhar and Chandana Satya Prakash and Jin Cao and Wael Hamza and Julian McAuley",
  year = "2022",
  booktitle = "Findings of NAACL"
}
images/amazon_logo.png
Coarse-to-fine sparse sequential recommendation
Jiacheng Li, Tong Zhao, Jin Li, Jim Chan, Christos Faloutsos, George Karypis, Soo-Min Pantel, Julian McAuley
SIGIR
pdf | reviews | code |
@inproceedings{li22coarse,
  title = "Coarse-to-fine sparse sequential recommendation",
  author = "Jiacheng Li and Tong Zhao and Jin Li and Jim Chan and Christos Faloutsos and George Karypis and Soo-Min Pantel and Julian McAuley",
  year = "2022",
  booktitle = "SIGIR"
}
images/amazon_logo.png
Locality-sensitive state-guided experience replay optimization for sparse rewards in online recommendation
Xiaocong Chen, Lina Yao, Julian McAuley, Weili Guan, Xiaojun Chang, Xianzhi Wang
SIGIR
pdf | reviews |
@inproceedings{chen22locality,
  title = "Locality-sensitive state-guided experience replay optimization for sparse rewards in online recommendation",
  author = "Xiaocong Chen and Lina Yao and Julian McAuley and Weili Guan and Xiaojun Chang and Xianzhi Wang",
  year = "2022",
  booktitle = "SIGIR"
}
SkipBERT: Efficient inference with shallow layer skipping
Jue Wang, Ke Chen, Gang Chen, Lidan Shou, Julian McAuley
Annual Meeting of the Association for Computational Linguistics (ACL)
pdf | reviews |
@inproceedings{wang22skipbert,
  title = "SkipBERT: Efficient inference with shallow layer skipping",
  author = "Jue Wang and Ke Chen and Gang Chen and Lidan Shou and Julian McAuley",
  year = "2022",
  booktitle = "ACL"
}
BERT Learns to Teach: Knowledge distillation with meta learning
Wangchunshu Zhou, Canwen Xu, Julian McAuley
Annual Meeting of the Association for Computational Linguistics (ACL)
pdf | reviews |
@inproceedings{zhou22bert,
  title = "BERT Learns to Teach: Knowledge distillation with meta learning",
  author = "Wangchunshu Zhou and Canwen Xu and Julian McAuley",
  year = "2022",
  booktitle = "ACL"
}
UCTopic: Unsupervised contrastive learning for phrase representations and topic mining
Jiacheng Li, Jingbo Shang, Julian McAuley
Annual Meeting of the Association for Computational Linguistics (ACL)
pdf | reviews | code |
@inproceedings{li22unsupervised,
  title = "UCTopic: Unsupervised contrastive learning for phrase representations and topic mining",
  author = "Jiacheng Li and Jingbo Shang and Julian McAuley",
  year = "2022",
  booktitle = "ACL"
}
Achieving conversational goals with unsupervised post-hoc knowledge injection
Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian McAuley
Annual Meeting of the Association for Computational Linguistics (ACL)
pdf | reviews |
@inproceedings{majumder22achieving,
  title = "Achieving conversational goals with unsupervised post-hoc knowledge injection",
  author = "Bodhisattwa Prasad Majumder and Harsh Jhamtani and Taylor Berg-Kirkpatrick and Julian McAuley",
  year = "2022",
  booktitle = "ACL"
}
LaPraDoR: Unsupervised pretrained dense retriever for zero-shot text retrieval
Canwen Xu, Daya Guo, Nan Duan, Julian McAuley
Findings of ACL
pdf | reviews |
@inproceedings{xu22laprador,
  title = "LaPraDoR: Unsupervised pretrained dense retriever for zero-shot text retrieval",
  author = "Canwen Xu and Daya Guo and Nan Duan and Julian McAuley",
  year = "2022",
  booktitle = "Findings of ACL"
}
AI-Moderated Decision Making: Capturing and balancing anchoring bias in sequential decision tasks
Jessica Echterhoff, Matin Yarmand, Julian McAuley
ACM Conference on Human Factors in Computing Systems (CHI)
pdf | reviews |
@inproceedings{echterhoff22moderated,
  title = "AI-Moderated Decision Making: Capturing and balancing anchoring bias in sequential decision tasks",
  author = "Jessica Echterhoff and Matin Yarmand and Julian McAuley",
  year = "2022",
  booktitle = "CHI"
}
Deep Performer: Score-to-audio music performance synthesis
Hao-Wen Dong, Cong Zhou, Taylor Berg-Kirkpatrick, Julian McAuley
International Conference on Acoustics Speech and Signal Processing (ICASSP)
pdf | reviews |
@inproceedings{dong22deep,
  title = "Deep Performer: Score-to-audio music performance synthesis",
  author = "Hao-Wen Dong and Cong Zhou and Taylor Berg-Kirkpatrick and Julian McAuley",
  year = "2022",
  booktitle = "ICASSP"
}
images/dolby_logo.png
Intent contrastive learning for sequential recommendation
Yongjun Chen, Zhiwei Liu, Jia Li, Julian McAuley, Caiming Xiong
World Wide Web (WWW)
pdf | reviews |
@inproceedings{chen22intent,
  title = "Intent contrastive learning for sequential recommendation",
  author = "Yongjun Chen and Zhiwei Liu and Jia Li and Julian McAuley and Caiming Xiong",
  year = "2022",
  booktitle = "WWW"
}
images/salesforce_logo.png
Personalized complementary product recommendation
An Yan, Chaosheng Dong, Yan Gao, Jinmiao Fu, Tong Zhao, Yi Sun, Julian McAuley
World Wide Web (WWW, industry track)
pdf | reviews |
@inproceedings{yan22personalized,
  title = "Personalized complementary product recommendation",
  author = "An Yan and Chaosheng Dong and Yan Gao and Jinmiao Fu and Tong Zhao and Yi Sun and Julian McAuley",
  year = "2022",
  booktitle = "WWW"
}
images/amazon_logo.png
Leashing the inner demons: Self-detoxification for language models
Canwen Xu, Zexue He, Zhankui He, Julian McAuley
AAAI Conference on Artificial Intelligence (AAAI)
pdf | reviews |
@inproceedings{xu22leashing,
  title = "Leashing the inner demons: Self-detoxification for language models",
  author = "Canwen Xu and Zexue He and Zhankui He and Julian McAuley",
  year = "2022",
  booktitle = "AAAI"
}
On sampling collaborative filtering datasets
Noveen Sachdeva, Carole-Jean Wu, Julian McAuley
Web Search and Data Mining (WSDM)
pdf | reviews | code |
@inproceedings{sachdeva22sampling,
  title = "On sampling collaborative filtering datasets",
  author = "Noveen Sachdeva and Carole-Jean Wu and Julian McAuley",
  year = "2022",
  booktitle = "WSDM"
}
images/meta_logo.png
Cross-modal adversarial reprogramming
Paarth Neekhara, Shehzeen Hussain, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar, Julian McAuley
Winter Conference on Applications of Computer Vision (WACV)
pdf | reviews |
@inproceedings{neekhara22adversarial,
  title = "Cross-modal adversarial reprogramming",
  author = "Paarth Neekhara and Shehzeen Hussain and Jinglong Du and Shlomo Dubnov and Farinaz Koushanfar and Julian McAuley",
  year = "2022",
  booktitle = "WACV"
}
Using machine learning to explore factors associated with marital sexual violence in a cross-sectional study from India
Lotus McDougal, Nabamallika Dehingia, Nandita Bhan, Abhishek Singh, Julian McAuley, Anita Raj
BMJ Open
pdf |
@article{mcdougal22factors,
  title = "Using machine learning to explore factors associated with marital sexual violence in a cross-sectional study from India",
  author = "Lotus McDougal and Nabamallika Dehingia and Nandita Bhan and Abhishek Singh and Julian McAuley and Anita Raj",
  year = "2022",
  journal = "BMJ Open"
}
Help-seeking behavior by women experiencing intimate partner violence in india: A machine learning approach to identifying risk factors
Nabamallika Dehingia, Arnab K Dey, Lotus McDougal, Julian McAuley, Abhishek Singh, Anita Raj
PLOS One
pdf |
@article{dehingia22help,
  title = "Help-seeking behavior by women experiencing intimate partner violence in india: A machine learning approach to identifying risk factors",
  author = "Nabamallika Dehingia and Arnab K Dey and Lotus McDougal and Julian McAuley and Abhishek Singh and Anita Raj",
  year = "2022",
  journal = "PLOS One"
}
Using machine learning to understand determinants of IUD use in India: Analyses of the National Family Health Surveys
Arnab K Dey, Nabamallika Dehingia, Nandita Bhan, Edwin Elizabeth Thomas, Lotus McDougal, Sarah Averbach, Julian McAuley, Abhishek Singh, Anita Raj
Population Health
pdf | reviews |
@article{dey22iud,
  title = "Using machine learning to understand determinants of IUD use in India: Analyses of the National Family Health Surveys",
  author = "Arnab K Dey and Nabamallika Dehingia and Nandita Bhan and Edwin Elizabeth Thomas and Lotus McDougal and Sarah Averbach and Julian McAuley and Abhishek Singh and Anita Raj",
  year = "2022",
  journal = "Population Health"
}
An entropy-guided reinforced partial convolutional network for zero-shot learning
Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Julian McAuley, Xiaojun Chang
IEEE Transactions on Circuits and Systems for Video Technology
pdf | reviews |
@article{li22entropy,
  title = "An entropy-guided reinforced partial convolutional network for zero-shot learning",
  author = "Yun Li and Zhe Liu and Lina Yao and Xianzhi Wang and Julian McAuley and Xiaojun Chang",
  year = "2022",
  journal = "IEEE Transactions on Circuits and Systems for Video Technology"
}
Rethink, Revisit, Revise: A spiral reinforced self-revised network for zero-shot learning
Zhe Liu, Yun Li, Lina Yao, Julian McAuley, Sam Dixon
IEEE Transactions on Neural Networks and Learning Systems
pdf | reviews |
@article{liu22spiral,
  title = "Rethink, Revisit, Revise: A spiral reinforced self-revised network for zero-shot learning",
  author = "Zhe Liu and Yun Li and Lina Yao and Julian McAuley and Sam Dixon",
  year = "2022",
  journal = "IEEE Transactions on Neural Networks and Learning Systems"
}
RadBERT: Adapting transformer-based language models to radiology
An Yan, Julian McAuley, Xing Lu, Jiang Du, Eric Chang, Amilcare Gentili, Chun-Nan Hsu
Radiology Artificial Intelligence
pdf | reviews | code |
@article{yan22radbert,
  title = "RadBERT: Adapting transformer-based language models to radiology",
  author = "An Yan and Julian McAuley and Xing Lu and Jiang Du and Eric Chang and Amilcare Gentili and Chun-Nan Hsu",
  year = "2022",
  journal = "Radiology Artificial Intelligence"
}
Global sub-mesoscale ocean variability from multi-year altimetry
Yao Yu, Sarah Gille, David Sandwell, Julian McAuley
Artificial Intelligence for the Earth Systems
pdf | reviews |
@article{yu22global,
  title = "Global sub-mesoscale ocean variability from multi-year altimetry",
  author = "Yao Yu and Sarah Gille and David Sandwell and Julian McAuley",
  year = "2022",
  journal = "Artificial Intelligence for the Earth Systems"
}

2021

Expressive neural voice cloning
Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian McAuley
Asian Conference on Machine Learning (ACML)
pdf | reviews |
@inproceedings{neekhara21expressive,
  title = "Expressive neural voice cloning",
  author = "Paarth Neekhara and Shehzeen Hussain and Shlomo Dubnov and Farinaz Koushanfar and Julian McAuley",
  year = "2021",
  booktitle = "ACML"
}
Beyond preserved accuracy: Evaluating loyalty and robustness of BERT compression
Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian McAuley and Furu Wei
Empirical Methods in Natural Language Processing (EMNLP)
pdf | reviews |
@inproceedings{xu21beyond,
  title = "Beyond preserved accuracy: Evaluating loyalty and robustness of BERT compression",
  author = "Canwen Xu and Wangchunshu Zhou and Tao Ge and Ke Xu and Julian McAuley and Furu Wei",
  year = "2021",
  booktitle = "EMNLP"
}
images/msr_logo.png
Detect and perturb: Neutral rewriting of biased and sensitive text via gradient-based decoding
Zexue He, Bodhisattwa Prasad Majumder and Julian McAuley
Findings of EMNLP
pdf | reviews |
@inproceedings{he21detect,
  title = "Detect and perturb: Neutral rewriting of biased and sensitive text via gradient-based decoding",
  author = "Zexue He and Bodhisattwa Prasad Majumder and Julian McAuley",
  year = "2021",
  booktitle = "Findings of EMNLP"
}
Weakly supervised contrastive learning for chest x-ray report generation
An Yan, Zexue He, Xing Lu, Jiang Du, Eric Chang, Amilcare Gentili, Julian McAuley and Chun-Nan Hsu
Findings of EMNLP
pdf | reviews |
@inproceedings{yan21weakly,
  title = "Weakly supervised contrastive learning for chest x-ray report generation",
  author = "An Yan and Zexue He and Xing Lu and Jiang Du and Eric Chang and Amilcare Gentili and Julian McAuley and Chun-Nan Hsu",
  year = "2021",
  booktitle = "Findings of EMNLP"
}
Locally constrained self-attentive sequential recommendation
Zhankui He, Handong Zhao, Zhe Lin, Zhaowen Wang, Ajinkya Kale, Julian McAuley
Conference on Information and Knowledge Management (CIKM)
pdf | reviews |
@inproceedings{he21locally,
  title = "Locally constrained self-attentive sequential recommendation",
  author = "Zhankui He and Handong Zhao and Zhe Lin and Zhaowen Wang and Ajinkya Kale and Julian McAuley",
  year = "2021",
  booktitle = "CIKM"
}
images/adobe_logo.png
Towards automatic instrumentation by learning to separate parts in symbolic multitrack music
Hao-Wen Dong, Chris Donahue, Taylor Berg-Kirkpatrick, Julian McAuley
International Society for Music Information Retrieval Conference (ISMIR)
pdf | reviews | code |
@inproceedings{dong21towards,
  title = "Towards automatic instrumentation by learning to separate parts in symbolic multitrack music",
  author = "Hao-Wen Dong and Chris Donahue and Taylor Berg-Kirkpatrick and Julian McAuley",
  year = "2021",
  booktitle = "ISMIR"
}
An empirical evaluation of end-to-end polyphonic optical music recognition
Sachinda Edirisooriya, Hao-Wen Dong, Julian McAuley, Taylor Berg-Kirkpatrick
International Society for Music Information Retrieval Conference (ISMIR)
pdf | reviews |
@inproceedings{edirisooriya21empirical,
  title = "An empirical evaluation of end-to-end polyphonic optical music recognition",
  author = "Sachinda Edirisooriya and Hao-Wen Dong and Julian McAuley and Taylor Berg-Kirkpatrick",
  year = "2021",
  booktitle = "ISMIR"
}
Black-box attacks on sequential recommenders via data-free model extraction
Zhenrui Yue, Zhankui He, Huimin Zeng, Julian McAuley
RecSys
pdf | reviews |
@inproceedings{yue21attacks,
  title = "Black-box attacks on sequential recommenders via data-free model extraction",
  author = "Zhenrui Yue and Zhankui He and Huimin Zeng and Julian McAuley",
  year = "2021",
  booktitle = "RecSys"
}
Recommendation on live-streaming platforms: Dynamic availability and repeat consumption
Jérémie Rappaz, Julian McAuley, Karl Aberer
RecSys
pdf | reviews | data |
@inproceedings{rappaz21recommendation,
  title = "Recommendation on live-streaming platforms: Dynamic availability and repeat consumption",
  author = "Jérémie Rappaz and Julian McAuley and Karl Aberer",
  year = "2021",
  booktitle = "RecSys"
}
ReZero is all you need: Fast convergence at large depth
Thomas Bachlechner, Bodhisattwa Prasad Majumder, Henry Mao, Garrison Cottrell, Julian McAuley
Uncertainty in Artificial Intelligence (UAI)
pdf | reviews |
@inproceedings{bachlechner21rezero,
  title = "ReZero is all you need: Fast convergence at large depth",
  author = "Thomas Bachlechner and Bodhisattwa Prasad Majumder and Henry Mao and Garrison Cottrell and Julian McAuley",
  year = "2021",
  booktitle = "UAI"
}
Unsupervised enrichment of persona-grounded dialog with background stories
Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian McAuley, Harsh Jhamtani
Annual Meeting of the Association for Computational Linguistics (ACL)
pdf | reviews |
@inproceedings{majumder21unsupervised,
  title = "Unsupervised enrichment of persona-grounded dialog with background stories",
  author = "Bodhisattwa Prasad Majumder and Taylor Berg-Kirkpatrick and Julian McAuley and Harsh Jhamtani",
  year = "2021",
  booktitle = "ACL"
}
Weakly supervised named entity tagging with learnable logical rules
Jiacheng Li, Haibo Ding, Jingbo Shang, Julian McAuley, Zhe Feng
Annual Meeting of the Association for Computational Linguistics (ACL)
pdf | reviews | code (Python) |
@inproceedings{li21weakly,
  title = "Weakly supervised named entity tagging with learnable logical rules",
  author = "Jiacheng Li and Haibo Ding and Jingbo Shang and Julian McAuley and Zhe Feng",
  year = "2021",
  booktitle = "ACL"
}
images/bosch_logo.png
Exposing vulnerabilities of deepfake detection systems with robust attacks
Shehzeen Hussain, Paarth Neekhara, Brian Dolhansky, Joanna Bitton, Cristian Canton Ferrer, Julian McAuley, Farinaz Koushanfar
Digital Threats: Research and Practice
pdf | reviews |
@inproceedings{hussain21exposing,
  title = "Exposing vulnerabilities of deepfake detection systems with robust attacks",
  author = "Shehzeen Hussain and Paarth Neekhara and Brian Dolhansky and Joanna Bitton and Cristian Canton Ferrer and Julian McAuley and Farinaz Koushanfar",
  year = "2021",
  booktitle = "Digital Threats: Research and Practice"
}
images/facebook_logo.jpg
Ask what's missing and what's useful: Improving clarification question generation using global knowledge
Bodhisattwa Prasad Majumder, Sudha Rao, Michel Galley, Julian McAuley
North American Chapter of the Association for Computational Linguistics (NAACL)
pdf | reviews |
@inproceedings{majumder21ask,
  title = "Ask what's missing and what's useful: Improving clarification question generation using global knowledge",
  author = "Bodhisattwa Prasad Majumder and Sudha Rao and Michel Galley and Julian McAuley",
  year = "2021",
  booktitle = "NAACL"
}
images/msr_logo.png
Blow the Dog Whistle: A Chinese dataset for cant understanding with common sense and world knowledge
Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian McAuley, Furu Wei
North American Chapter of the Association for Computational Linguistics (NAACL)
pdf | reviews |
@inproceedings{xu21blow,
  title = "Blow the Dog Whistle: A Chinese dataset for cant understanding with common sense and world knowledge",
  author = "Canwen Xu and Wangchunshu Zhou and Tao Ge and Ke Xu and Julian McAuley and Furu Wei",
  year = "2021",
  booktitle = "NAACL"
}
images/msr_logo.png
WaveGuard: Understanding and mitigating audio adversarial examples
Shehzeen Hussain, Paarth Neekhara, Shlomo Dubnov, Julian McAuley, Farinaz Koushanfar
USENIX Security Symposium
pdf | reviews |
@inproceedings{hussain21waveguard,
  title = "WaveGuard: Understanding and mitigating audio adversarial examples",
  author = "Shehzeen Hussain and Paarth Neekhara and Shlomo Dubnov and Julian McAuley and Farinaz Koushanfar",
  year = "2021",
  booktitle = "USENIX Security Symposium"
}
Zero-shot generalization in dialog state tracking through generative question answering
Shuyang Li, Jin Cao, Mukund Sridhar, Henghui Zhu, Shang-Wen Li, Wael Hamza, Julian McAuley
European Chapter of the Association for Computational Linguistics (EACL)
pdf | reviews |
@inproceedings{li21zero,
  title = "Zero-shot generalization in dialog state tracking through generative question answering",
  author = "Shuyang Li and Jin Cao and Mukund Sridhar and Henghui Zhu and Shang-Wen Li and Wael Hamza and Julian McAuley",
  year = "2021",
  booktitle = "EACL"
}
images/amazon_logo.png
Adversarial Deepfakes: Evaluating vulnerability of deepfake detectors to adversarial examples
Shehzeen Hussain, Paarth Neekhara, Malhar Jere, Farinaz Koushanfar, Julian McAuley
Winter Conference on Applications of Computer Vision (WACV)
pdf | reviews |
@inproceedings{hussain21adversarial,
  title = "Adversarial Deepfakes: Evaluating vulnerability of deepfake detectors to adversarial examples",
  author = "Shehzeen Hussain and Paarth Neekhara and Malhar Jere and Farinaz Koushanfar and Julian McAuley",
  year = "2021",
  booktitle = "WACV"
}
Machine learning analysis of non-marital sexual violence in India
Anita Raj, Nabamallika Dehingia, Abhishek Singh, Julian McAuley, Lotus McDougal
EClinicalMedicine
pdf | reviews |
@article{raj21machine,
  title = "Machine learning analysis of non-marital sexual violence in India",
  author = "Anita Raj and Nabamallika Dehingia and Abhishek Singh and Julian McAuley and Lotus McDougal",
  year = "2021",
  journal = "EClinicalMedicine"
}
Deep generation of user-customized items
Chen Fang, Zhaowen Wang, Wang-Cheng Kang, Julian McAuley
U.S. Patent Application 17/192,713
pdf
Generating user-customized items using a visually-aware image generation network
Chen Fang, Zhaowen Wang, Wang-Cheng Kang, Julian McAuley
U.S. Patent 10,970,765
pdf

2020

BERT loses patience: Fast and robust inference with early exit
Wangchunshu Zhou, Canwen Xu, Tao Ge, Julian McAuley, Ke Xu, Furu Wei
Neural Information Processing Systems (NeurIPS)
pdf | reviews |
@inproceedings{zhou20bert,
  title = "BERT loses patience: Fast and robust inference with early exit",
  author = "Wangchunshu Zhou and Canwen Xu and Tao Ge and Julian McAuley and Ke Xu and Furu Wei",
  year = "2020",
  booktitle = "NeurIPS"
}
images/msr_logo.png
Like hiking? You probably enjoy nature: Persona-grounded dialog with commonsense expansions
Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian McAuley
Empirical Methods in Natural Language Processing (EMNLP)
pdf | reviews |
@inproceedings{majumder20persona,
  title = "Like hiking? You probably enjoy nature: Persona-grounded dialog with commonsense expansions",
  author = "Bodhisattwa Prasad Majumder and Harsh Jhamtani and Taylor Berg-Kirkpatrick and Julian McAuley",
  year = "2020",
  booktitle = "EMNLP"
}
Interview: Large-scale modeling of media dialog with discourse patterns and knowledge grounding
Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian McAuley
Empirical Methods in Natural Language Processing (EMNLP)
pdf | reviews |
@inproceedings{majumder20interview,
  title = "Interview: Large-scale modeling of media dialog with discourse patterns and knowledge grounding",
  author = "Bodhisattwa Prasad Majumder and Shuyang Li and Jianmo Ni and Julian McAuley",
  year = "2020",
  booktitle = "EMNLP"
}
Learning visual-semantic embeddings for reporting abnormal findings on chest X-rays
Jianmo Ni, Chun-Nan Hsu, Amilcare Gentili, Julian McAuley
Findings of EMNLP
pdf | reviews |
@inproceedings{ni20learning,
  title = "Learning visual-semantic embeddings for reporting abnormal findings on chest X-rays",
  author = "Jianmo Ni and Chun-Nan Hsu and Amilcare Gentili and Julian McAuley",
  year = "2020",
  booktitle = "Findings of EMNLP"
}
Speech recognition and multi-speaker diarization of long conversations
Henry Mao, Shuyang Li, Julian McAuley, Garrison Cottrell
Interspeech
pdf | reviews |
@inproceedings{mao20speech,
  title = "Speech recognition and multi-speaker diarization of long conversations",
  author = "Henry Mao and Shuyang Li and Julian McAuley and Garrison Cottrell",
  year = "2020",
  booktitle = "Interspeech"
}
MusPy: A toolkit for symbolic music generation
Hao-Wen Dong, Ke Chen, Julian McAuley, Taylor Berg-Kirkpatrick
International Society for Music Information Retrieval Conference (ISMIR)
pdf | reviews | code (Python) |
@inproceedings{dong20muspy,
  title = "MusPy: A toolkit for symbolic music generation",
  author = "Hao-Wen Dong and Ke Chen and Julian McAuley and Taylor Berg-Kirkpatrick",
  year = "2020",
  booktitle = "ISMIR"
}
A longitudinal evaluation of a best-practices CS1
Adrian Salguero, Julian McAuley, Beth Simon and Leo Porter
International Computing Education Research Conference (ICER)
pdf | reviews |
@inproceedings{salguero20longitudinal,
  title = "A longitudinal evaluation of a best-practices CS1",
  author = "Adrian Salguero and Julian McAuley and Beth Simon and Leo Porter",
  year = "2020",
  booktitle = "ICER"
}
How useful are reviews for recommendation? A critical review and potential improvements
Noveen Sachdeva, Julian McAuley
SIGIR
pdf | reviews | code (Python) |
@inproceedings{sachdeva20useful,
  title = "How useful are reviews for recommendation? A critical review and potential improvements",
  author = "Noveen Sachdeva and Julian McAuley",
  year = "2020",
  booktitle = "SIGIR"
}
Attentive sequential models of latent intent for next item recommendation
Mehrab Tanjim, Congzhe Su, Ethan Benjamin, Diane Hu, Liangjie Hong, Julian McAuley
World Wide Web (WWW)
pdf | reviews | code (Python) |
@inproceedings{tanjim20attentive,
  title = "Attentive sequential models of latent intent for next item recommendation",
  author = "Mehrab Tanjim and Congzhe Su and Ethan Benjamin and Diane Hu and Liangjie Hong and Julian McAuley",
  year = "2020",
  booktitle = "WWW"
}
images/etsy_logo.png
Addressing marketing bias in product recommendations
Mengting Wan, Jianmo Ni, Rishabh Misra, Julian McAuley
Web Search and Data Mining (WSDM)
pdf | reviews | code (Python) |
@inproceedings{wan20addressing,
  title = "Addressing marketing bias in product recommendations",
  author = "Mengting Wan and Jianmo Ni and Rishabh Misra and Julian McAuley",
  year = "2020",
  booktitle = "WSDM"
}
Time-interval aware self-attention for sequential recommendation
Jiacheng Li, Yujie Wang, Julian McAuley
Web Search and Data Mining (WSDM)
pdf | reviews | code (Python) |
@inproceedings{li20interval,
  title = "Time-interval aware self-attention for sequential recommendation",
  author = "Jiacheng Li and Yujie Wang and Julian McAuley",
  year = "2020",
  booktitle = "WSDM"
}
Stacked mixed-order graph convolutional networks for collaborative filtering
Hengrui Zhang, Julian McAuley
SIAM International Conference on Data Mining (SDM)
pdf | reviews | code (Tensorflow) |
@inproceedings{zhang20stacked,
  title = "Stacked mixed-order graph convolutional networks for collaborative filtering",
  author = "Hengrui Zhang and Julian McAuley",
  year = "2020",
  booktitle = "SDM"
}
The performance of an artificial neural network model in predicting the early distribution kinetics of propofol in morbidly obese and lean subjects
Jerry Ingrande, Rodney Gabriel, Julian McAuley, Karolina Krasinska, Allis Chien, Hendrikus Lemmens
Anesthesia and Analgesia
pdf | reviews |
@article{ingrande20performance,
  title = "The performance of an artificial neural network model in predicting the early distribution kinetics of propofol in morbidly obese and lean subjects",
  author = "Jerry Ingrande and Rodney Gabriel and Julian McAuley and Karolina Krasinska and Allis Chien and Hendrikus Lemmens",
  year = "2020",
  journal = "Anesthesia and Analgesia"
}
Application of machine learning to understand child marriage in India
Anita Raj, Nabamallika Dehingia, Abhishek Singh, Lotus McDougal, Julian McAuley
Population Health
pdf | reviews |
@article{raj20application,
  title = "Application of machine learning to understand child marriage in India",
  author = "Anita Raj and Nabamallika Dehingia and Abhishek Singh and Lotus McDougal and Julian McAuley",
  year = "2020",
  journal = "Population Health"
}

2019

Justifying recommendations using distantly-labeled reviews and fined-grained aspects
Jianmo Ni, Jiacheng Li, Julian McAuley
Empirical Methods in Natural Language Processing (EMNLP)
pdf | reviews | code (PyTorch) |
@inproceedings{ni19justifying,
  title = "Justifying recommendations using distantly-labeled reviews and fined-grained aspects",
  author = "Jianmo Ni and Jiacheng Li and Julian McAuley",
  year = "2019",
  booktitle = "EMNLP"
}
Scalable and accurate dialogue state tracking via hierarchical sequence generation
Liliang Ren, Jianmo Ni, Julian McAuley
Empirical Methods in Natural Language Processing (EMNLP)
pdf | reviews | code (Python) |
@inproceedings{ren19scalable,
  title = "Scalable and accurate dialogue state tracking via hierarchical sequence generation",
  author = "Liliang Ren and Jianmo Ni and Julian McAuley",
  year = "2019",
  booktitle = "EMNLP"
}
Generating personalized recipes from historical user preferences
Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian McAuley
Empirical Methods in Natural Language Processing (EMNLP)
pdf | reviews | code (Python) |
@inproceedings{majumder19generating,
  title = "Generating personalized recipes from historical user preferences",
  author = "Bodhisattwa Prasad Majumder and Shuyang Li and Jianmo Ni and Julian McAuley",
  year = "2019",
  booktitle = "EMNLP"
}
Improving neural story generation by targeted common sense grounding
Henry Mao, Bodhisattwa Prasad Majumder, Julian McAuley, Garrison Cottrell
Empirical Methods in Natural Language Processing (EMNLP)
pdf | reviews | code (Python) |
@inproceedings{mao19improving,
  title = "Improving neural story generation by targeted common sense grounding",
  author = "Henry Mao and Bodhisattwa Prasad Majumder and Julian McAuley and Garrison Cottrell",
  year = "2019",
  booktitle = "EMNLP"
}
Candidate generation with binary codes for large-scale Top-N recommendation
Wang-Cheng Kang, Julian McAuley
Conference on Information and Knowledge Management (CIKM)
pdf | reviews | code (Python) |
@inproceedings{kang19candidate,
  title = "Candidate generation with binary codes for large-scale Top-N recommendation",
  author = "Wang-Cheng Kang and Julian McAuley",
  year = "2019",
  booktitle = "CIKM"
}
2D Convolutional neural networks for sequential recommendation
An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian McAuley
Conference on Information and Knowledge Management (CIKM)
pdf | reviews | code (Python) |
@inproceedings{yan19convolutional,
  title = "2D Convolutional neural networks for sequential recommendation",
  author = "An Yan and Shuo Cheng and Wang-Cheng Kang and Mengting Wan and Julian McAuley",
  year = "2019",
  booktitle = "CIKM"
}
Expediting TTS synthesis with adversarial vocoding
Paarth Neekhara, Chris Donahue, Miller Puckette, Shlomo Dubnov, Julian McAuley
Interspeech
pdf | reviews |
@inproceedings{neekhara19expediting,
  title = "Expediting TTS synthesis with adversarial vocoding",
  author = "Paarth Neekhara and Chris Donahue and Miller Puckette and Shlomo Dubnov and Julian McAuley",
  year = "2019",
  booktitle = "Interspeech"
}
Universal adversarial perturbations for speech recognition systems
Paarth Neekhara, Shehzeen Hussain, Prakhar Pandey, Shlomo Dubnov, Julian McAuley, Farinaz Koushanfar
Interspeech
pdf | reviews |
@inproceedings{neekhara19universal,
  title = "Universal adversarial perturbations for speech recognition systems",
  author = "Paarth Neekhara and Shehzeen Hussain and Prakhar Pandey and Shlomo Dubnov and Julian McAuley and Farinaz Koushanfar",
  year = "2019",
  booktitle = "Interspeech"
}
Embryo staging with weakly-supervised region selection and dynamically-decoded predictions
Tingfung Lau, Nathan Ng, Julian Gingold, Nina Desai, Julian McAuley, Zachary Lipton
Machine Learning for Health Care (MLHC)
pdf | reviews |
@inproceedings{lau19embryo,
  title = "Embryo staging with weakly-supervised region selection and dynamically-decoded predictions",
  author = "Tingfung Lau and Nathan Ng and Julian Gingold and Nina Desai and Julian McAuley and Zachary Lipton",
  year = "2019",
  booktitle = "MLHC"
}
Improving multi-instrumental music generation with cross-domain pre-training
Chris Donahue, Henry Mao, Yiting Li, Garrison Cottrell, Julian McAuley
International Society for Music Information Retrieval Conference (ISMIR)
pdf | reviews |
@inproceedings{donahue19improving,
  title = "Improving multi-instrumental music generation with cross-domain pre-training",
  author = "Chris Donahue and Henry Mao and Yiting Li and Garrison Cottrell and Julian McAuley",
  year = "2019",
  booktitle = "ISMIR"
}
Fine-grained spoiler detection from large-scale review corpora
Mengting Wan, Rishabh Misra, Ndapa Nakashole, Julian McAuley
Annual Meeting of the Association for Computational Linguistics (ACL)
pdf | reviews | data |
@inproceedings{wan19spoiler,
  title = "Fine-grained spoiler detection from large-scale review corpora",
  author = "Mengting Wan and Rishabh Misra and Ndapa Nakashole and Julian McAuley",
  year = "2019",
  booktitle = "ACL"
}
Complete the Look: Scene-based complementary product recommendation
Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian McAuley
Computer Vision and Pattern Recognition (CVPR)
pdf | reviews | data |
@inproceedings{kang19complete,
  title = "Complete the Look: Scene-based complementary product recommendation",
  author = "Wang-Cheng Kang and Eric Kim and Jure Leskovec and Charles Rosenberg and Julian McAuley",
  year = "2019",
  booktitle = "CVPR"
}
images/pinterest_logo.png
Learning to attend on essential terms: An enhanced retriever-reader model for open-domain question answering
Jianmo Ni, Chenguang Zhu, Weizhu Chen and Julian McAuley
North American Chapter of the Association for Computational Linguistics (NAACL)
pdf | reviews | code (Python) |
@inproceedings{ni19learning,
  title = "Learning to attend on essential terms: An enhanced retriever-reader model for open-domain question answering",
  author = "Jianmo Ni and Chenguang Zhu and Weizhu Chen and Julian McAuley",
  year = "2019",
  booktitle = "NAACL"
}
images/msr_logo.png
Modeling heart rate and activity data for personalized fitness recommendation
Jianmo Ni, Larry Muhlstein, Julian McAuley
World Wide Web (WWW)
pdf | reviews | code (Python) | data |
@inproceedings{ni19modeling,
  title = "Modeling heart rate and activity data for personalized fitness recommendation",
  author = "Jianmo Ni and Larry Muhlstein and Julian McAuley",
  year = "2019",
  booktitle = "WWW"
}
Adversarial audio synthesis
Chris Donahue, Julian McAuley, Miller Puckette
International Conference on Learning Representations (ICLR)
pdf | reviews |
@inproceedings{donahue19adversarial,
  title = "Adversarial audio synthesis",
  author = "Chris Donahue and Julian McAuley and Miller Puckette",
  year = "2019",
  booktitle = "ICLR"
}
Generating visually-aware item recommendations using a personalized preference ranking network
Chen Fang, Zhaowen Wang, Wang-Cheng Kang, Julian McAuley
U.S. Patent Application 15/897,822
pdf

2018

Does mitigating ML's impact disparity require treatment disparity?
Zachary Lipton, Alexandra Chouldechova, Julian McAuley
Neural Information Processing Systems (NIPS)
pdf | reviews | code |
@inproceedings{lipton19mitigating,
  title = "Does mitigating ML's impact disparity require treatment disparity?",
  author = "Zachary Lipton and Alexandra Chouldechova and Julian McAuley",
  year = "2018",
  booktitle = "NIPS"
}
Self-attentive sequential recommendation
Wang-Cheng Kang, Julian McAuley
International Conference on Data Mining (ICDM)
pdf | reviews | code (Python) |
@inproceedings{kang18attentive,
  title = "Self-attentive sequential recommendation",
  author = "Wang-Cheng Kang and Julian McAuley",
  year = "2018",
  booktitle = "ICDM"
}
Representing and recommending shopping baskets with complementarity, compatibility, and loyalty
Mengting Wan, Di Wang, Jie Liu, Paul Bennett, Julian McAuley
Conference on Information and Knowledge Management (CIKM)
pdf | reviews |
@inproceedings{wan18representing,
  title = "Representing and recommending shopping baskets with complementarity, compatibility, and loyalty",
  author = "Mengting Wan and Di Wang and Jie Liu and Paul Bennett and Julian McAuley",
  year = "2018",
  booktitle = "CIKM"
}
images/msr_logo.png
Recommendation through mixtures of heterogeneous item relationships
Wang-Cheng Kang, Mengting Wan, Julian McAuley
Conference on Information and Knowledge Management (CIKM)
pdf | reviews | bibtex | code (Python) |
@inproceedings{kang18recommendation,
  title = "Recommendation through mixtures of heterogeneous item relationships",
  author = "Wang-Cheng Kang and Mengting Wan and Julian McAuley",
  year = "2018",
  booktitle = "CIKM"
}
Translation-based factorization machines for sequential recommendation
Rajiv Pasricha, Julian McAuley
RecSys
pdf | reviews | code (Python) |
@inproceedings{pasricha18translation,
  title = "Translation-based factorization machines for sequential recommendation",
  author = "Rajiv Pasricha and Julian McAuley",
  year = "2018",
  booktitle = "RecSys"
}
Item recommendation on monotonic behavior chains
Mengting Wan, Julian McAuley
RecSys
pdf | reviews | code (Python) | data |
@inproceedings{wan18item,
  title = "Item recommendation on monotonic behavior chains",
  author = "Mengting Wan and Julian McAuley",
  year = "2018",
  booktitle = "RecSys"
}
Learning consumer and producer embeddings for user-generated content recommendation
Wang-Cheng Kang, Julian McAuley
RecSys
pdf | reviews | code (Python) |
@inproceedings{kang18learning,
  title = "Learning consumer and producer embeddings for user-generated content recommendation",
  author = "Wang-Cheng Kang and Julian McAuley",
  year = "2018",
  booktitle = "RecSys"
}
Learning within-session budgets from browsing trajectories
Diane Hu, Raphael Louca, Liangjie Hong, Julian McAuley
RecSys
pdf | reviews |
@inproceedings{hu18learning,
  title = "Learning within-session budgets from browsing trajectories",
  author = "Diane Hu and Raphael Louca and Liangjie Hong and Julian McAuley",
  year = "2018",
  booktitle = "RecSys"
}
images/etsy_logo.png
Decomposing fit semantics for product size recommendation in metric spaces
Rishabh Misra, Mengting Wan, Julian McAuley
RecSys
pdf | reviews | code (Python) | data |
@inproceedings{misra18decomposing,
  title = "Decomposing fit semantics for product size recommendation in metric spaces",
  author = "Rishabh Misra and Mengting Wan and Julian McAuley",
  year = "2018",
  booktitle = "RecSys"
}
The NES Music Database: A symbolic music dataset with expressive performance attributes
Chris Donahue, Henry Mao, Julian McAuley
International Society for Music Information Retrieval Conference (ISMIR)
pdf | reviews | code (Python) | data |
@inproceedings{donahue18nes,
  title = "The NES Music Database: A symbolic music dataset with expressive performance attributes",
  author = "Chris Donahue and Henry Mao and Julian McAuley",
  year = "2018",
  booktitle = "ISMIR"
}
Translation-based recommendation: A scalable method for modeling sequential behavior
Ruining He, Wang-Cheng Kang, Julian McAuley
IJCAI Sister Conference (Best Paper Track)
pdf | reviews | data |
@inproceedings{he18translation,
  title = "Translation-based recommendation: A scalable method for modeling sequential behavior",
  author = "Ruining He and Wang-Cheng Kang and Julian McAuley",
  year = "2018",
  booktitle = "IJCAI Sister Conference (Best Paper Track)"
}
Personalized review generation by expanding phrases and attending on aspect-aware representations
Jianmo Ni, Julian McAuley
Annual Meeting of the Association for Computational Linguistics (ACL)
pdf | reviews |
@inproceedings{ni18personalized,
  title = "Personalized review generation by expanding phrases and attending on aspect-aware representations",
  author = "Jianmo Ni and Julian McAuley",
  year = "2018",
  booktitle = "ACL"
}
Semantically decomposing the latent spaces of Generative Adversarial Networks
Chris Donahue, Zachary Lipton, Akshay Balsubramani, Julian McAuley
International Conference on Learning Representations (ICLR)
pdf | reviews | code (Python) | data |
@inproceedings{donahue18semantically,
  title = "Semantically decomposing the latent spaces of Generative Adversarial Networks",
  author = "Chris Donahue and Zachary Lipton and Akshay Balsubramani and Julian McAuley",
  year = "2018",
  booktitle = "ICLR"
}
One-class recommendation with asymmetric textual feedback
Mengting Wan, Julian McAuley
SIAM International Conference on Data Mining (SDM)
pdf | reviews |
@inproceedings{wan18asymmetric,
  title = "One-class recommendation with asymmetric textual feedback",
  author = "Mengting Wan and Julian McAuley",
  year = "2018",
  booktitle = "SDM"
}
Transferrable semi-automated semantic metadata normalization using an intermediate representation
Jason Koh, Bharathan Balaji, Dhiman Sengupta, Julian McAuley, Rajesh Gupta, Yuvraj Agarwal
BuildSys
pdf | reviews |
@inproceedings{koh18transferrable,
  title = "Transferrable semi-automated semantic metadata normalization using an intermediate representation",
  author = "Jason Koh and Bharathan Balaji and Dhiman Sengupta and Julian McAuley and Rajesh Gupta and Yuvraj Agarwal",
  year = "2018",
  booktitle = "BuildSys"
}
Identifying and characterizing highly similar notes in big clinical note datasets
Rodney Gabriel, Tsung-Ting Kuo, Julian McAuley, Chun-Nan Hsu
Journal of Biomedical Informatics (JBI)
pdf | reviews |
@article{gabriel18identifying,
  title = "Identifying and characterizing highly similar notes in big clinical note datasets",
  author = "Rodney Gabriel and Tsung-Ting Kuo and Julian McAuley and Chun-Nan Hsu",
  year = "2018",
  journal = "Journal of Biomedical Informatics"
}

Recommender systems
Julian McAuley
Book chapter in Encyclopedia of Big Data (L. Schintler and C. McNeely, editors)
link

2017

Predicting surgery duration with neural heteroscedastic regression
Nathan Ng, Rodney Gabriel, Julian McAuley, Charles Elkan, Zachary Lipton
Machine Learning for Health Care (MLHC)
pdf | reviews |
@inproceedings{ng17predicting,
  title = "Predicting surgery duration with neural heteroscedastic regression",
  author = "Nathan Ng and Rodney Gabriel and Julian McAuley and Charles Elkan and Zachary Lipton",
  year = "2017",
  booktitle = "MLHC"
}
Visually-aware fashion recommendation and design with generative image models
Wang-Cheng Kang, Chen Fang, Zhaowen Wang, Julian McAuley
International Conference on Data Mining (ICDM)
pdf | reviews | code (Python) | data |
@inproceedings{kang17visually,
  title = "Visually-aware fashion recommendation and design with generative image models",
  author = "Wang-Cheng Kang and Chen Fang and Zhaowen Wang and Julian McAuley",
  year = "2017",
  booktitle = "ICDM"
}
images/adobe_logo.png
Estimating reactions and recommending products with generative models of reviews
Jianmo Ni, Zachary Lipton, Sharad Vikram, Julian McAuley
International Joint Conference on Natural Language Processing (IJCNLP)
pdf | reviews |
@inproceedings{ni17estimating,
  title = "Estimating reactions and recommending products with generative models of reviews",
  author = "Jianmo Ni and Zachary Lipton and Sharad Vikram and Julian McAuley",
  year = "2017",
  booktitle = "IJCNLP"
}
Translation-based recommendation
Ruining He, Wang-Cheng Kang, Julian McAuley
RecSys (best paper runner-up)
pdf | reviews | code (C++) | data | questions |
@inproceedings{he17translation,
  title = "Translation-based recommendation",
  author = "Ruining He and Wang-Cheng Kang and Julian McAuley",
  year = "2017",
  booktitle = "RecSys"
}
Dance Dance Convolution
Chris Donahue, Zachary Lipton, Julian McAuley
International Conference on Machine Learning (ICML)
pdf | reviews | code (Python) | data |
@inproceedings{donahue17dance,
  title = "Dance Dance Convolution",
  author = "Chris Donahue and Zachary Lipton and Julian McAuley",
  year = "2017",
  booktitle = "ICML"
}
SPMC: Socially-aware personalized Markov chains for sparse sequential recommendation
Chenwei Cai, Ruining He, Julian McAuley
International Joint Conference on Artificial Intelligence (IJCAI)
pdf | reviews | code (C++) |
@inproceedings{cai17spmc,
  title = "SPMC: Socially-aware personalized Markov chains for sparse sequential recommendation",
  author = "Chenwei Cai and Ruining He and Julian McAuley",
  year = "2017",
  booktitle = "IJCAI"
}
Dynamic programming bipartite belief propagation for hyper graph matching
Zhen Zhang, Julian McAuley, Yong Li, Wei Wei, Yanning Zhang, Javen Shi
International Joint Conference on Artificial Intelligence (IJCAI)
pdf | reviews |
@inproceedings{zhang17dynamic,
  title = "Dynamic programming bipartite belief propagation for hyper graph matching",
  author = "Zhen Zhang and Julian McAuley and Yong Li and Wei Wei and Yanning Zhang and Javen Shi",
  year = "2017",
  booktitle = "IJCAI"
}
Improving recommendation accuracy using networks of substitutable and complementary products
Tong Zhao, Julian McAuley, Mengya Li, Irwin King
International Joint Conference on Neural Networks
pdf | reviews |
@inproceedings{zhao17improving,
  title = "Improving recommendation accuracy using networks of substitutable and complementary products",
  author = "Tong Zhao and Julian McAuley and Mengya Li and Irwin King",
  year = "2017",
  booktitle = "International Joint Conference on Neural Networks"
}
Generating and personalizing bundle recommendations on Steam
Apurva Pathak, Kshitiz Gupta, Julian McAuley
SIGIR
pdf | reviews | code (Python) | data |
@inproceedings{pathak17generating,
  title = "Generating and personalizing bundle recommendations on Steam",
  author = "Apurva Pathak and Kshitiz Gupta and Julian McAuley",
  year = "2017",
  booktitle = "SIGIR"
}
Modeling consumer preferences and price sensitivities from large-scale grocery shopping transaction logs
Mengting Wan, Di Wang, Matt Goldman, Matt Taddy, Justin Rao, Jie Liu, Dimitrios Lymberopoulos, Julian McAuley
World Wide Web (WWW)
pdf | reviews | code (Python) |
@inproceedings{wan17modeling,
  title = "Modeling consumer preferences and price sensitivities from large-scale grocery shopping transaction logs",
  author = "Mengting Wan and Di Wang and Matt Goldman and Matt Taddy and Justin Rao and Jie Liu and Dimitrios Lymberopoulos and Julian McAuley",
  year = "2017",
  booktitle = "WWW"
}
images/msr_logo.png
Bartering books to beers: A recommender system for exchange platforms
Jérémie Rappaz, Maria-Luiza Vladarean, Julian McAuley, Michele Catasta
Web Search and Data Mining (WSDM)
pdf | reviews | code (Matlab) | data |
@inproceedings{rappaz17bartering,
  title = "Bartering books to beers: A recommender system for exchange platforms",
  author = "Jérémie Rappaz and Maria-Luiza Vladarean and Julian McAuley and Michele Catasta",
  year = "2017",
  booktitle = "WSDM"
}
Solving constrained combinatorial optimization problems via MAP inference without high-order penalties
Zhen Zhang, Javen Shi, Julian McAuley, Wei Wei, Yanning Zhang, Rui Yao, Anton van den Hengel
AAAI Conference on Artificial Intelligence (AAAI)
pdf | reviews |
@inproceedings{zhang17solving,
  title = "Solving constrained combinatorial optimization problems via MAP inference without high-order penalties",
  author = "Zhen Zhang and Javen Shi and Julian McAuley and Wei Wei and Yanning Zhang and Rui Yao and Anton van den Hengel",
  year = "2017",
  booktitle = "AAAI"
}

2016

Modeling ambiguity, subjectivity, and diverging viewpoints in opinion question answering systems
Mengting Wan, Julian McAuley
International Conference on Data Mining (ICDM)
pdf | reviews | data |
@inproceedings{wan16modeling,
  title = "Modeling ambiguity, subjectivity, and diverging viewpoints in opinion question answering systems",
  author = "Mengting Wan and Julian McAuley",
  year = "2016",
  booktitle = "ICDM"
}
Learning compatibility across categories for heterogeneous item recommendation
Ruining He, Charles Packer, Julian McAuley
International Conference on Data Mining (ICDM)
pdf | reviews | code (C++) | data |
@inproceedings{he16learning,
  title = "Learning compatibility across categories for heterogeneous item recommendation",
  author = "Ruining He and Charles Packer and Julian McAuley",
  year = "2016",
  booktitle = "ICDM"
}
Fusing similarity models with Markov chains for sparse sequential recommendation
Ruining He, Julian McAuley
International Conference on Data Mining (ICDM)
pdf | reviews | code (C++) |
@inproceedings{he16fusing,
  title = "Fusing similarity models with Markov chains for sparse sequential recommendation",
  author = "Ruining He and Julian McAuley",
  year = "2016",
  booktitle = "ICDM"
}
Vista: A visually, socially, and temporally-aware model for artistic recommendation
Ruining He, Chen Fang, Zhaowen Wang, Julian McAuley
RecSys
pdf | reviews | code (C++) | data |
@inproceedings{he16vista,
  title = "Vista: A visually, socially, and temporally-aware model for artistic recommendation",
  author = "Ruining He and Chen Fang and Zhaowen Wang and Julian McAuley",
  year = "2016",
  booktitle = "RecSys"
}
images/adobe_logo.png
Addressing complex and subjective product-related queries with customer reviews
Julian McAuley, Alex Yang
World Wide Web (WWW)
pdf | reviews | code (C++) | data |
@inproceedings{mcauley16addressing,
  title = "Addressing complex and subjective product-related queries with customer reviews",
  author = "Julian McAuley and Alex Yang",
  year = "2016",
  booktitle = "WWW"
}
Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering
Ruining He, Julian McAuley
World Wide Web (WWW)
pdf | reviews | code (C++) | data |
@inproceedings{he16modeling,
  title = "Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering",
  author = "Ruining He and Julian McAuley",
  year = "2016",
  booktitle = "WWW"
}
Fashionista: A fashion-aware graphical system for exploring visually similar items
Ruining He, Chunbin Lin, Julian McAuley
World Wide Web (WWW, demo track)
pdf | reviews |
@inproceedings{he16fashionista,
  title = "Fashionista: A fashion-aware graphical system for exploring visually similar items",
  author = "Ruining He and Chunbin Lin and Julian McAuley",
  year = "2016",
  booktitle = "WWW"
}
VBPR: Visual bayesian personalized ranking from implicit feedback
Ruining He, Julian McAuley
AAAI Conference on Artificial Intelligence (AAAI)
pdf | reviews | code | data |
@inproceedings{he16vbpr,
  title = "VBPR: Visual bayesian personalized ranking from implicit feedback",
  author = "Ruining He and Julian McAuley",
  year = "2016",
  booktitle = "AAAI"
}
Pairwise matching through max-weight bipartite belief propagation
Zhen Zhang, Javen Shi, Julian McAuley, Wei Wei, Yanning Zhang, Anton van den Hengel
Computer Vision and Pattern Recognition (CVPR)
pdf | reviews | code (Matlab) |
@inproceedings{zhang16pairwise,
  title = "Pairwise matching through max-weight bipartite belief propagation",
  author = "Zhen Zhang and Javen Shi and Julian McAuley and Wei Wei and Yanning Zhang and Anton van den Hengel",
  year = "2016",
  booktitle = "CVPR"
}
Sparse hierarchical embeddings for visually-aware one-class collaborative filtering
Ruining He, Chunbin Lin, Jianguo Wang, Julian McAuley
International Joint Conference on Artificial Intelligence (IJCAI)
pdf | reviews | code (C++) | data |
@inproceedings{he16sparse,
  title = "Sparse hierarchical embeddings for visually-aware one-class collaborative filtering",
  author = "Ruining He and Chunbin Lin and Jianguo Wang and Julian McAuley",
  year = "2016",
  booktitle = "IJCAI"
}

2015

Learning visual clothing style with heterogeneous dyadic co-occurrences
Andreas Veit, Balazs Kovacs, Sean Bell, Julian McAuley, Kavita Bala, Serge Belongie
International Conference on Computer Vision (ICCV)
pdf | reviews |
@inproceedings{veit15learning,
  title = "Learning visual clothing style with heterogeneous dyadic co-occurrences",
  author = "Andreas Veit and Balazs Kovacs and Sean Bell and Julian McAuley and Kavita Bala and Serge Belongie",
  year = "2015",
  booktitle = "ICCV"
}
Image-based recommendations on styles and substitutes
Julian McAuley, Christopher Targett, Javen Shi, Anton van den Hengel
SIGIR
pdf | reviews | code (C++) | data | slides | questions |
@inproceedings{mcauley15image,
  title = "Image-based recommendations on styles and substitutes",
  author = "Julian McAuley and Christopher Targett and Javen Shi and Anton van den Hengel",
  year = "2015",
  booktitle = "SIGIR"
}
Inferring networks of substitutable and complementary products
Julian McAuley, Rahul Pandey, Jure Leskovec
Knowledge Discovery and Data Mining (KDD)
pdf | reviews | code (C++) | data | poster | questions |
@inproceedings{mcauley15inferring,
  title = "Inferring networks of substitutable and complementary products",
  author = "Julian McAuley and Rahul Pandey and Jure Leskovec",
  year = "2015",
  booktitle = "KDD"
}
Top-N recommendation with missing implicit feedback
Daryl Lim, Julian McAuley, Gert Lanckriet
RecSys
pdf | reviews | poster |
@inproceedings{lim15recommendation,
  title = "Top-N recommendation with missing implicit feedback",
  author = "Daryl Lim and Julian McAuley and Gert Lanckriet",
  year = "2015",
  booktitle = "RecSys"
}
Improving latent factor models via personalized feature projection for one-class recommendation
Tong Zhao, Julian McAuley, Irwin King
Conference on Information and Knowledge Management (CIKM)
pdf | reviews |
@inproceedings{zhao15improving,
  title = "Improving latent factor models via personalized feature projection for one-class recommendation",
  author = "Tong Zhao and Julian McAuley and Irwin King",
  year = "2015",
  booktitle = "CIKM"
}

2014

Leveraging social connections to improve personalized ranking for collaborative filtering
Tong Zhao, Julian McAuley, Irwin King
Conference on Information and Knowledge Management (CIKM)
pdf | reviews |
@inproceedings{zhao15leveraging,
  title = "Leveraging social connections to improve personalized ranking for collaborative filtering",
  author = "Tong Zhao and Julian McAuley and Irwin King",
  year = "2014",
  booktitle = "CIKM"
}
Finding progression stages in time-evolving event sequences
Jaewon Yang, Julian McAuley, Jure Leskovec, Paea LePendu, Nigam Shah
World Wide Web (WWW)
pdf | reviews | code (C++) | data |
@inproceedings{yang14finding,
  title = "Finding progression stages in time-evolving event sequences",
  author = "Jaewon Yang and Julian McAuley and Jure Leskovec and Paea LePendu and Nigam Shah",
  year = "2014",
  booktitle = "WWW"
}
Detecting cohesive and 2-mode communities in directed and undirected networks
Jaewon Yang, Julian McAuley, Jure Leskovec
Web Search and Data Mining (WSDM)
pdf | reviews | code (C++) | data |
@inproceedings{yang14detecting,
  title = "Detecting cohesive and 2-mode communities in directed and undirected networks",
  author = "Jaewon Yang and Julian McAuley and Jure Leskovec",
  year = "2014",
  booktitle = "WSDM"
}
Discovering social circles in ego networks
Julian McAuley, Jure Leskovec
ACM Transactions on Knowledge Discovery from Data (TKDD)
pdf | reviews | bibtex | code (C++) | data | Kaggle | Kaggle data | questions |
@article{mcauley14discovering,
  title = "Discovering social circles in ego networks",
  author = "Julian McAuley and Jure Leskovec",
  year = "2014",
  journal = "ACM Transactions on Knowledge Discovery from Data"
}

2013

Hidden factors and hidden topics: Understanding rating dimensions with review text
Julian McAuley, Jure Leskovec
RecSys
pdf | reviews | code (C++) | data | slides | questions |
@inproceedings{mcauley13hidden,
  title = "Hidden factors and hidden topics: Understanding rating dimensions with review text",
  author = "Julian McAuley and Jure Leskovec",
  year = "2013",
  booktitle = "RecSys"
}
From amateurs to connoisseurs: Modeling the evolution of user expertise through online reviews
Julian McAuley, Jure Leskovec
World Wide Web (WWW)
pdf | reviews | code (C++) | data | slides |
@inproceedings{mcauley13amateurs,
  title = "From amateurs to connoisseurs: Modeling the evolution of user expertise through online reviews",
  author = "Julian McAuley and Jure Leskovec",
  year = "2013",
  booktitle = "WWW"
}
Understanding the interplay between titles, content, and communities in social media
Himabindu Lakkaraju, Julian McAuley, Jure Leskovec
International Conference on Weblogs and Social Media (ICWSM)
pdf | reviews | data | slides |
@inproceedings{lakkaraju13understanding,
  title = "Understanding the interplay between titles, content, and communities in social media",
  author = "Himabindu Lakkaraju and Julian McAuley and Jure Leskovec",
  year = "2013",
  booktitle = "ICWSM"
}
Community detection in networks with node attributes
Jaewon Yang, Julian McAuley, Jure Leskovec
International Conference on Data Mining (ICDM)
pdf | reviews | code (C++) | data |
@inproceedings{yang13community,
  title = "Community detection in networks with node attributes",
  author = "Jaewon Yang and Julian McAuley and Jure Leskovec",
  year = "2013",
  booktitle = "ICDM"
}

2012

Learning to discover social circles in ego networks
Julian McAuley, Jure Leskovec
Neural Information Processing Systems (NIPS)
pdf | reviews | code (C++) | data | poster | Kaggle | Kaggle data | questions |
@inproceedings{mcauley12learning,
  title = "Learning to discover social circles in ego networks",
  author = "Julian McAuley and Jure Leskovec",
  year = "2012",
  booktitle = "NIPS"
}
Learning attitudes and attributes from multi-aspect reviews
Julian McAuley, Jure Leskovec, Dan Jurafsky
International Conference on Data Mining (ICDM)
pdf | reviews | code (C++) | data | slides |
@inproceedings{mcauley12attitudes,
  title = "Learning attitudes and attributes from multi-aspect reviews",
  author = "Julian McAuley and Jure Leskovec and Dan Jurafsky",
  year = "2012",
  booktitle = "ICDM"
}
Image labeling on a network: Using social-network metadata for image classification
Julian McAuley, Jure Leskovec
European Conference on Computer Vision (ECCV)
pdf | reviews | code (C++) | data | poster | questions |
@inproceedings{mcauley12image,
  title = "Image labeling on a network: Using social-network metadata for image classification",
  author = "Julian McAuley and Jure Leskovec",
  year = "2012",
  booktitle = "ECCV"
}
Optimization of robust loss functions for weakly-labeled image taxonomies
Julian McAuley, Arnau Ramisa, Tiberio Caetano
International Journal of Computer Vision (IJCV)
pdf | reviews | code (C++) | questions |
@article{mcauley12optimization,
  title = "Optimization of robust loss functions for weakly-labeled image taxonomies",
  author = "Julian McAuley and Arnau Ramisa and Tiberio Caetano",
  year = "2012",
  journal = "International Journal of Computer Vision"
}
Fast matching of large point sets under occlusions
Julian McAuley, Tiberio Caetano
Pattern Recognition
pdf | reviews | bibtex | code (C++) | data |
@article{mcauley12fast,
  title = "Fast matching of large point sets under occlusions",
  author = "Julian McAuley and Tiberio Caetano",
  year = "2012",
  journal = "Pattern Recognition"
}

2011

Optimization of robust loss functions for weakly-labeled image taxonomies: An ImageNet case study
Julian McAuley, Arnau Ramisa, Tiberio Caetano
Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)
pdf | reviews | code (C++) | slides |
@inproceedings{mcauley11optimization,
  title = "Optimization of robust loss functions for weakly-labeled image taxonomies: An ImageNet case study",
  author = "Julian McAuley and Arnau Ramisa and Tiberio Caetano",
  year = "2011",
  booktitle = "EMMCVPR"
}
Faster algorithms for max-product message-passing
Julian McAuley, Tiberio Caetano
Journal of Machine Learning Research (JMLR)
pdf | reviews | code (C++) |
@article{mcauley11faster,
  title = "Faster algorithms for max-product message-passing",
  author = "Julian McAuley and Tiberio Caetano",
  year = "2011",
  journal = "Journal of Machine Learning Research"
}
Fast inference with min-sum matrix product
Pedro Felzenszwalb, Julian McAuley
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
pdf | reviews | code (C++) |
@article{felzenszwalb11fast,
  title = "Fast inference with min-sum matrix product",
  author = "Pedro Felzenszwalb and Julian McAuley",
  year = "2011",
  journal = "IEEE Transactions on Pattern Analysis and Machine Intelligence"
}
Unified graph matching in Euclidean spaces and applications to image comparison and retrieval
Julian McAuley, Teofilo de Campos
U.S. Patent 8,407,029
link
Consistent hierarchical labeling of images and image regions
Julian McAuley, Teofilo de Campos, Gabriela Csurka, Florent Perronnin
U.S. Patent 9,355,337
link

2010

Exploiting data-independence for fast belief-propagation
Julian McAuley, Tiberio Caetano
International Conference on Machine Learning (ICML)
pdf | reviews | code (C++) | poster |
@inproceedings{mcauley10exploiting,
  title = "Exploiting data-independence for fast belief-propagation",
  author = "Julian McAuley and Tiberio Caetano",
  year = "2010",
  booktitle = "ICML"
}
Unified graph matching in Euclidean spaces
Julian McAuley, Teofilo de Campos, Tiberio Caetano
Computer Vision and Pattern Recognition (CVPR)
pdf | reviews | code (C++) | data | poster |
@inproceedings{mcauley10unified,
  title = "Unified graph matching in Euclidean spaces",
  author = "Julian McAuley and Teofilo de Campos and Tiberio Caetano",
  year = "2010",
  booktitle = "CVPR"
}
Exploiting within-clique factorizations in junction-tree algorithms
Julian McAuley, Tiberio Caetano
Artificial Intelligence and Statistics (AISTATS)
pdf | reviews | code (C++) | poster |
@inproceedings{mcauley10factorizations,
  title = "Exploiting within-clique factorizations in junction-tree algorithms",
  author = "Julian McAuley and Tiberio Caetano",
  year = "2010",
  booktitle = "AISTATS"
}
Graphical models
Julian McAuley, Tiberio Caetano, Wray Buntine
Book chapter in Encyclopedia of Machine Learning (C. Sammut and G. Webb, editors)
link

2009

Exponential family graph matching and ranking
James Petterson, Tiberio Caetano, Julian McAuley, Jin Yu
Neural Information Processing Systems (NIPS)
pdf | reviews | code (C++) | poster |
@inproceedings{petterson09exponential,
  title = "Exponential family graph matching and ranking",
  author = "James Petterson and Tiberio Caetano and Julian McAuley and Jin Yu",
  year = "2009",
  booktitle = "NIPS"
}
Hierarchical image-region labeling via structured learning
Julian McAuley, Teofilo de Campos, Gabriela Csurka, Florent Perronnin
British Machine Vision Conference (BMVC)
pdf | reviews | code (C++) | poster |
@inproceedings{mcauley09hierarchical,
  title = "Hierarchical image-region labeling via structured learning",
  author = "Julian McAuley and Teofilo de Campos and Gabriela Csurka and Florent Perronnin",
  year = "2009",
  booktitle = "BMVC"
}
Shape classification through structured learning of matching measures
Longbin Chen, Julian McAuley, Rogerio Feris, Tiberio Caetano, Matthew Turk
Computer Vision and Pattern Recognition (CVPR)
pdf | reviews | code (C++) | poster |
@inproceedings{chen09shape,
  title = "Shape classification through structured learning of matching measures",
  author = "Longbin Chen and Julian McAuley and Rogerio Feris and Tiberio Caetano and Matthew Turk",
  year = "2009",
  booktitle = "CVPR"
}
Learning graph matching
Tiberio Caetano, Julian McAuley, Li Cheng, Quoc Le, Alex Smola
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
pdf | reviews | code (C++) | data |
@article{caetano09learning,
  title = "Learning graph matching",
  author = "Tiberio Caetano and Julian McAuley and Li Cheng and Quoc Le and Alex Smola",
  year = "2009",
  journal = "IEEE Transactions on Pattern Analysis and Machine Intelligence"
}
Faster graphical models for point-pattern matching
Tiberio Caetano, Julian McAuley
Spatial Vision (by invitation)
pdf | reviews | code (C++) | data |
@article{caetano09faster,
  title = "Faster graphical models for point-pattern matching",
  author = "Tiberio Caetano and Julian McAuley",
  year = "2009",
  journal = "Spatial Vision"
}

2008

Robust near-isometric matching via structured learning of graphical models
Julian McAuley, Tiberio Caetano, Alex Smola
Neural Information Processing Systems (NIPS)
pdf | reviews | code (C++) | data | poster |
@inproceedings{mcauley08robust,
  title = "Robust near-isometric matching via structured learning of graphical models",
  author = "Julian McAuley and Tiberio Caetano and Alex Smola",
  year = "2008",
  booktitle = "NIPS"
}
Graph rigidity, cyclic belief propagation and point pattern matching
Julian McAuley, Tiberio Caetano, Marconi Barbosa
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
pdf | reviews | code (C++) | data |
@article{mcauley08graph,
  title = "Graph rigidity, cyclic belief propagation and point pattern matching",
  author = "Julian McAuley and Tiberio Caetano and Marconi Barbosa",
  year = "2008",
  journal = "IEEE Transactions on Pattern Analysis and Machine Intelligence"
}

2007

The rich-club phenomenon across complex network hierarchies
Julian McAuley, Tiberio Caetano, Luciano da Fontoura Costa
Applied Physics Letters
pdf | reviews | code (C++) |
@article{mcauley07rich,
  title = "The rich-club phenomenon across complex network hierarchies",
  author = "Julian McAuley and Tiberio Caetano and Luciano da Fontoura Costa",
  year = "2007",
  journal = "Applied Physics Letters"
}

2006

Learning high-order MRF priors of color images
Julian McAuley, Tiberio Caetano, Alex Smola, Matthias Franz
International Conference on Machine Learning (ICML)
pdf | reviews | code (C/Matlab) | poster | slides |
@inproceedings{mcauley07learning,
  title = "Learning high-order MRF priors of color images",
  author = "Julian McAuley and Tiberio Caetano and Alex Smola and Matthias Franz",
  year = "2007",
  booktitle = "ICML"
}