Teaching

Autumn 2020:


CSE 258 (evaluations)
CSE 158 (evaluations)

Coursera:


Python Data Products

Older:


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)

Events

CIKM 2021 Workshop on Adversarial Machine Learning for Recommendation and Search

KDD 2021 Workshop on Online and Adaptive Recommender Systems

UCSD, 2021 SoCal Machine Learning Symposium

KDD 2020 Workshop on Mining and Learning with Graphs

UCSD, 2020 SoCal Machine Learning Symposium


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

Current PhD Students

images/paarth.jpeg
Paarth Neekhara, 2017-
Deep Learning for Audio
images/bodhi.jpg
Bodhisattwa Prasad Majumder, 2018-
Knowledge Grounded Learning
images/shuyang.png
Shuyang Li, 2018-
Text and Dialog Generation
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

Sponsors

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

New: Personalized Machine Learning

My new book, Personalized Machine Learning, published with Cambridge University Press, is currently in press. See the book's website, as well as a freely-available pdf draft.

Useful links

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 now available on our lab's dataset webpage

News

7/2021: Papers with Herman, Chris, Taylor, and Sachinda accepted to ISMIR 2021

7/2021: Papers with Zhenrui, Zhankui, Huimin, Jeremie, and Karl accepted to RecSys 2021

6/2021: New book, Personalized Machine Learning is currently in press.

5/2021: Paper w/ Thomas, Bodhi, Henry, and Gary accepted to UAI 2021

5/2021: Papers with Bodhi, Taylor, Harsh, Jiacheng, Haibo, Jingbo, and Zhe accepted to ACL 2021

3/2021: Papers with Bodhi, Sudha, Michel, Canwen, Chunshu, Tao, Ke Xu, and Furu accepted to NAACL 2021

2/2021: Article about Bodhi and Shuyang's QIF fellowship

2/2021: Some news about our work on deepfake detectors: Newswise, SciTechDaily

1/2021: Selected for Salesforce AI research grant!

1/2021: Paper w/ Shuyang, Jin, Mukund, Henghui, Shang-Wen, and Wael accepted to EACL 2021

11/2020: Paper w/ Shehzeen, Paarth, Malhar, and Farinaz accepted to WACV 2021

9/2020: Paper with Chunshu, Canwen, Tao, Ke, and Furu accepted to Neurips 2020

9/2020: I will be program co-chair (with Joe Konstan) of RecSys 2021

9/2020: Papers with Bodhi, Harsh, Taylor, Shuyang, Jianmo, Chun-Nan, and Amilcare accepted to EMNLP 2020

Acknowledgements

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

Publications

2021

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)
reviews | bibtex | code

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)
reviews | bibtex

Black-box attacks on sequential recommenders via data-free model extraction
Zhenrui Yue, Zhankui He, Huimin Zeng, Julian McAuley
RecSys
reviews | bibtex

Recommendation on live-streaming platforms: Dynamic availability and repeat consumption
Jeremie Rappaz, Julian McAuley, Karl Aberer
RecSys
reviews | bibtex

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)
reviews | bibtex

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)
reviews | bibtex

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)
reviews | bibtex | code (Python)
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
reviews | bibtex
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 | bibtex
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 | bibtex
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 | bibtex

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 | bibtex
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 | bibtex

Application of machine learning to understand child marriage in India
Anita Raj, Nabamallika Dehingia, Abhishek Singh, Lotus McDougal, Julian McAuley
Population Health
pdf | reviews | bibtex

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 | bibtex
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 | bibtex

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 | bibtex

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 | bibtex

Speech recognition and multi-speaker diarization of long conversations
Henry Mao, Shuyang Li, Julian McAuley, Garrison Cottrell
Interspeech
pdf | reviews | bibtex

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 | bibtex | code (Python)

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 | bibtex

How useful are reviews for recommendation? A critical review and potential improvements
Noveen Sachdeva, Julian McAuley
SIGIR
pdf | reviews | bibtex | code (Python)

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 | bibtex
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 | bibtex | code (Python)

Time-interval aware self-attention for sequential recommendation
Jiacheng Li, Yujie Wang, Julian McAuley
Web Search and Data Mining (WSDM)
pdf | reviews | bibtex | code (Python)

Stacked mixed-order graph convolutional networks for collaborative filtering
Hengrui Zhang, Julian McAuley
SIAM International Conference on Data Mining (SDM)
pdf | reviews | bibtex | code (Tensorflow)

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 | bibtex

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 | bibtex | code (PyTorch)

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 | bibtex | code (Python)

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 | bibtex | code (Python)

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 | bibtex | code (Python)

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 | bibtex | code (Python)

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 | bibtex | code (Python)

Expediting TTS synthesis with adversarial vocoding
Paarth Neekhara, Chris Donahue, Miller Puckette, Shlomo Dubnov, Julian McAuley
Interspeech
pdf | reviews | bibtex

Universal adversarial perturbations for speech recognition systems
Paarth Neekhara, Shehzeen Hussain, Prakhar Pandey, Shlomo Dubnov, Julian McAuley, Farinaz Koushanfar
Interspeech
pdf | reviews | bibtex

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 | bibtex

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 | bibtex

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 | bibtex | data

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 | bibtex | data
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 | bibtex | code (Python)
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 | bibtex | code (Python) | data

Adversarial audio synthesis
Chris Donahue, Julian McAuley, Miller Puckette
International Conference on Learning Representations (ICLR)
pdf | reviews | bibtex

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 | bibtex | code

Self-attentive sequential recommendation
Wang-Cheng Kang, Julian McAuley
International Conference on Data Mining (ICDM)
pdf | reviews | bibtex | code (Python)

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 | bibtex
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)

Translation-based factorization machines for sequential recommendation
Rajiv Pasricha, Julian McAuley
RecSys
pdf | reviews | bibtex | code (Python)

Item recommendation on monotonic behavior chains
Mengting Wan, Julian McAuley
RecSys
pdf | reviews | bibtex | code (Python) | data

Learning consumer and producer embeddings for user-generated content recommendation
Wang-Cheng Kang, Julian McAuley
RecSys
pdf | reviews | bibtex | code (Python)

Learning within-session budgets from browsing trajectories
Diane Hu, Raphael Louca, Liangjie Hong, Julian McAuley
RecSys
pdf | reviews | bibtex
images/etsy_logo.png

Decomposing fit semantics for product size recommendation in metric spaces
Rishabh Misra, Mengting Wan, Julian McAuley
RecSys
pdf | reviews | bibtex | code (Python) | data

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 | bibtex | code (Python) | data

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 | bibtex | code (C++) | data

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 | bibtex

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 | bibtex | code (Python) | data

One-class recommendation with asymmetric textual feedback
Mengting Wan, Julian McAuley
SIAM International Conference on Data Mining (SDM)
pdf | reviews | bibtex

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 | bibtex

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 | bibtex

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 | bibtex

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 | bibtex | code (Python) | data
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 | bibtex

Translation-based recommendation
Ruining He, Wang-Cheng Kang, Julian McAuley
RecSys (best paper runner-up)
pdf | reviews | bibtex | code (C++) | data | questions

Dance Dance Convolution
Chris Donahue, Zachary Lipton, Julian McAuley
International Conference on Machine Learning (ICML)
pdf | reviews | bibtex | code (Python) | data

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 | bibtex | code (C++)

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 | bibtex

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 | bibtex

Generating and personalizing bundle recommendations on Steam
Apurva Pathak, Kshitiz Gupta, Julian McAuley
SIGIR
pdf | reviews | bibtex | code (Python) | data

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 | bibtex | code (Python)
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 | bibtex | code (Matlab) | data

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 | bibtex

2016

Modeling ambiguity, subjectivity, and diverging viewpoints in opinion question answering systems
Mengting Wan, Julian McAuley
International Conference on Data Mining (ICDM)
pdf | reviews | bibtex | data

Learning compatibility across categories for heterogeneous item recommendation
Ruining He, Charles Packer, Julian McAuley
International Conference on Data Mining (ICDM)
pdf | reviews | bibtex | code (C++) | data

Fusing similarity models with Markov chains for sparse sequential recommendation
Ruining He, Julian McAuley
International Conference on Data Mining (ICDM)
pdf | reviews | bibtex | code (C++)

Vista: A visually, socially, and temporally-aware model for artistic recommendation
Ruining He, Chen Fang, Zhaowen Wang, Julian McAuley
RecSys
pdf | reviews | bibtex | code (C++) | data
images/adobe_logo.png

Addressing complex and subjective product-related queries with customer reviews
Julian McAuley, Alex Yang
World Wide Web (WWW)
pdf | reviews | bibtex | code (C++) | data

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 | bibtex | code (C++) | data

VBPR: Visual bayesian personalized ranking from implicit feedback
Ruining He, Julian McAuley
AAAI Conference on Artificial Intelligence (AAAI)
pdf | reviews | bibtex | code (C++) | data

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 | bibtex | code (Matlab)

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 | bibtex | code (C++) | data

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 | bibtex

Image-based recommendations on styles and substitutes
Julian McAuley, Christopher Targett, Javen Shi, Anton van den Hengel
SIGIR
pdf | reviews | bibtex | code (C++) | data | slides | questions

Inferring networks of substitutable and complementary products
Julian McAuley, Rahul Pandey, Jure Leskovec
Knowledge Discovery and Data Mining (KDD)
pdf | reviews | bibtex | code (C++) | data | poster | questions

Top-N recommendation with missing implicit feedback
Daryl Lim, Julian McAuley, Gert Lanckriet
RecSys
pdf | reviews | bibtex | poster

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 | bibtex

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 | bibtex

Finding progression stages in time-evolving event sequences
Jaewon Yang, Julian McAuley, Jure Leskovec, Paea LePendu, Nigam Shah
World Wide Web (WWW)
pdf | reviews | bibtex | code (C++) | data

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 | bibtex | code (C++) | data

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

2013

Hidden factors and hidden topics: Understanding rating dimensions with review text
Julian McAuley, Jure Leskovec
RecSys
pdf | reviews | bibtex | code (C++) | data | slides | questions

From amateurs to connoisseurs: Modeling the evolution of user expertise through online reviews
Julian McAuley, Jure Leskovec
World Wide Web (WWW)
pdf | reviews | bibtex | code (C++) | data | slides

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 | bibtex | data | slides

Community detection in networks with node attributes
Jaewon Yang, Julian McAuley, Jure Leskovec
International Conference on Data Mining (ICDM)
pdf | reviews | bibtex | code (C++) | data

2012

Learning to discover social circles in ego networks
Julian McAuley, Jure Leskovec
Neural Information Processing Systems (NIPS)
pdf | reviews | bibtex | code (C++) | data | poster | Kaggle | Kaggle data | questions

Learning attitudes and attributes from multi-aspect reviews
Julian McAuley, Jure Leskovec, Dan Jurafsky
International Conference on Data Mining (ICDM)
pdf | reviews | bibtex | code (C++) | data | slides

Image labeling on a network: Using social-network metadata for image classification
Julian McAuley, Jure Leskovec
European Conference on Computer Vision (ECCV)
pdf | reviews | bibtex | code (C++) | data | poster | questions

Optimization of robust loss functions for weakly-labeled image taxonomies
Julian McAuley, Arnau Ramisa, Tiberio Caetano
International Journal of Computer Vision (IJCV)
pdf | reviews | bibtex | code (C++) | questions

Fast matching of large point sets under occlusions
Julian McAuley, Tiberio Caetano
Pattern Recognition
pdf | reviews | bibtex | code (C++) | data

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 | bibtex | code (C++) | slides

Faster algorithms for max-product message-passing
Julian McAuley, Tiberio Caetano
Journal of Machine Learning Research (JMLR)
pdf | reviews | bibtex | code (C++)

Fast inference with min-sum matrix product
Pedro Felzenszwalb, Julian McAuley
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
pdf | reviews | bibtex | code (C++)

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 | bibtex | code (C++) | poster

Unified graph matching in Euclidean spaces
Julian McAuley, Teofilo de Campos, Tiberio Caetano
Computer Vision and Pattern Recognition (CVPR)
pdf | reviews | bibtex | code (C++) | data | poster

Exploiting within-clique factorizations in junction-tree algorithms
Julian McAuley, Tiberio Caetano
Artificial Intelligence and Statistics (AISTATS)
pdf | reviews | bibtex | code (C++) | poster

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 | bibtex | code (C++) | poster

Hierarchical image-region labeling via structured learning
Julian McAuley, Teofilo de Campos, Gabriela Csurka, Florent Perronnin
British Machine Vision Conference (BMVC)
pdf | reviews | bibtex | code (C++) | poster

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 | bibtex | code (C++) | poster

Learning graph matching
Tiberio Caetano, Julian McAuley, Li Cheng, Quoc Le, Alex Smola
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
pdf | reviews | bibtex | code (C++) | data

Faster graphical models for point-pattern matching
Tiberio Caetano, Julian McAuley
Spatial Vision (by invitation)
pdf | reviews | bibtex | code (C++) | data

2008

Robust near-isometric matching via structured learning of graphical models
Julian McAuley, Tiberio Caetano, Alex Smola
Neural Information Processing Systems (NIPS)
pdf | reviews | bibtex | code (C++) | data | poster

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 | bibtex | code (C++) | data

2007

The rich-club phenomenon across complex network hierarchies
Julian McAuley, Tiberio Caetano, Luciano da Fontoura Costa
Applied Physics Letters
pdf | reviews | bibtex | code (C++)

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 | bibtex | code (C/Matlab) | poster | slides