Teaching

Autumn 2021:


CSE 258 (evaluations)
CSE 158 (evaluations)
MGT 461 (evaluations)

Online courses:


ScholarSite
Coursera
CSE 258 fa20 (evaluations)
CSE 158 fa20 (evaluations)
CSE 258 fa19 (evaluations)
CSE 158 fa19 (evaluations)
MGT 495 fa19 (evaluations)
CSE 258 fa18 (evaluations)
CSE 158 fa18 (evaluations)
MGT 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)

Lab - Graduates

images/ruining.jpeg
Ruining He, PhD 2017
Google
images/zachary.jpeg
Zachary Lipton, PhD 2017
Assistant Professor, Carnegie Mellon University
images/chris.png
Chris Donahue, PhD 2019
Postdoctoral Scholar, Stanford University
images/mengting.jpg
Mengting Wan, PhD 2019
Microsoft Research
images/jianmo.jpeg
Jianmo Ni, PhD 2020
Google
images/wang-cheng.png
Wang-Cheng Kang, PhD 2020
Google
images/shuyang.png
Shuyang Li, PhD 2022
Meta

Current PhD Students

images/paarth.jpeg
Paarth Neekhara, 2017-
Deep Learning for Audio
images/bodhi.jpg
Bodhisattwa Prasad Majumder, 2018-
Knowledge Grounded Learning
images/jiacheng.jpeg
Jiacheng Li, 2018-
Natural Language Processing
images/an.jpeg
An Yan, 2018-
Clinical NLP
images/zhankui.png
Zhankui He, 2019-
Recommender Systems
images/herman.jpg
Hao-Wen Dong, 2019-
Computer Music
images/erik.png
Erik Delanois, 2019-
Physics
images/jessica.png
Jessica Echterhoff, 2019-
Algorithmic Debiasing
images/zexue.jpg
Zexue He, 2020-
Algorithmic Debiasing
images/canwen.jpg
Canwen Xu, 2020-
Machine Learning
images/noveen.jpg
Noveen Sachdeva, 2020-
Recommender Systems
images/se-eun.png
Se-eun Yoon, 2021-
Graphs
images/nafis.png
Nafis Sadeq, 2021-
Speech Recognition
images/brendan.jpg
Brendan Duncan, 2021-
ML for Economic Data
images/zachary2.jpeg
Zachary Novack, 2022-
Computer Music
images/yu.jpg
Yu Wang, 2022-
Machine Learning

Sponsors

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

Acknowledgements

My lab is currently supported by an NSF CAREER Award (#1750063), as well as generous gifts and grants from The Home Depot, Toyota, MeetElise, Hyundai, ShareChat, Salesforce, Facebook, Qualcomm, Intuit, Adobe, Samsung, Flipkart, Amazon, Symantec, and Nvidia.

Publications

2022

Rank list sensitivity of recommender systems to interaction perturbations
Sejoon Oh, Berk Ustun, Julian McAuley, Srijan Kumar
Conference on Information and Knowledge Management (CIKM)
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)
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)
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)
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
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
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)
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)
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
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
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)
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)
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)
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)
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
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)
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 = "ICAASP"
}
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)
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/facebook_logo.jpg
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"
}
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
reviews |
@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
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 |
@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 | code (C++) | 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"
}
VBPR: Visual bayesian personalized ranking from implicit feedback
Ruining He, Julian McAuley
AAAI Conference on Artificial Intelligence (AAAI)
pdf | reviews | code (C++) | 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"
}