Real science. Now in real time.
Julian McAuley
Assistant Professor
Room 4102 Computer Science Department @ UCSD
e-mail: ude.dscu.gne@yeluacmj
New: Repository of Recommender Systems Datasets
A collection of datasets for recommender systems research is now available on our lab's dataset webpage
News
10/2018: Program on UCSD TV about the ENLACE summer internship program for Mexican students
9/2018: Received a Data Science Research Award from Adobe
9/2018: Paper w/ Zachary and Alexandra accepted to NIPS 2018
8/2018: I will run the workshop on Recommender Systems Meets NLP at AAAI with Oren, Vahid, and Mengting
8/2018: Paper w/ Wang-Cheng accepted to ICDM 2018
8/2018: Paper w/ Jason et al. accepted to BuildSys 2018
8/2018: Two papers accepted to CIKM 2018, with Mengting, Di, Jie, Paul, and Wang-Cheng
7/2018: Five papers accepted to RecSys 2018, with Mengting, Rajiv, Diane, Raphael, Liangjie, Wang-Cheng, and Rishabh
5/2018: Paper w/ Chris and Henry accepted to ISMIR 2018
4/2018: Paper w/ Jianmo accepted to ACL 2018
4/2018: Paper w/ Rodney, Tim, and Chun-Nan accepted to the Journal of Biomedical Informatics
3/2018: I will run the workshops on Mining and Learning with Graphs and Machine Learning meets Fashion at KDD with Shobeir, Danai, Tim, Bryan, Vikas, Raghav, Ayushi, Urs, Nikolay, Sumit, and Soo-Min
1/2018: Paper w/ Chris, Zachary, and Akshay accepted to ICLR 2018
12/2017: Paper w/ Mengting accepted to SDM 2018
11/2017: Our work on personalized fashion generation was featured in MIT Technology Review (and in our departmental newsletter!)
Publications
2018
Does mitigating ML's impact disparity require treatment disparity?
Zachary Lipton, Julian McAuley, Alexandra Chouldechova
Neural Information Processing Systems (NIPS)
bibtex
Self-attentive sequential recommendation
Wang-Cheng Kang, Julian McAuley
International Conference on Data Mining (ICDM)
pdf |
bibtex |
reviews |
code (Python)
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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 | bibtex | reviews |
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Recommendation through mixtures of heterogeneous item relationships
Wang-Cheng Kang, Mengting Wan, Julian McAuley
Conference on Information and Knowledge Management (CIKM)
pdf |
bibtex |
reviews |
code (Python)
Translation-based factorization machines for sequential recommendation
Rajiv Pasricha, Julian McAuley
RecSys
pdf |
bibtex |
reviews |
code (Python)
Item recommendation on monotonic behavior chains
Mengting Wan, Julian McAuley
RecSys
pdf |
bibtex |
reviews |
code (Python) |
data
Learning consumer and producer embeddings for user-generated content recommendation
Wang-Cheng Kang, Julian McAuley
RecSys
pdf |
bibtex |
reviews |
code (Python)
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Learning within-session budgets from browsing trajectories for item recommendations Diane Hu, Raphael Louca, Liangjie Hong, Julian McAuley RecSys pdf | bibtex | reviews |
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Decomposing fit semantics for product size recommendation in metric spaces
Rishabh Misra, Mengting Wan, Julian McAuley
RecSys
pdf |
bibtex |
reviews |
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 |
bibtex |
reviews |
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 |
bibtex |
reviews |
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 |
bibtex |
reviews
Semantically decomposing the latent spaces of Generative Adversarial Networks
Chris Donahue, Zachary Lipton, Akshay Balsubramani, Julian McAuley
International Conference on Learning Representations (ICLR)
pdf |
bibtex |
reviews |
code (Python)
One-class recommendation with asymmetric textual feedback
Mengting Wan, Julian McAuley
SIAM International Conference on Data Mining (SDM)
pdf |
bibtex |
reviews
Transferrable semi-automated semantic metadata normalization using an intermediate representation
Jason Koh, Bharathan Balaji, Dhiman Sengupta, Julian McAuley, Rajesh Gupta, Yuvraj Agarwal
BuildSys
pdf |
bibtex |
reviews
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 |
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 |
bibtex |
reviews
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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 | bibtex | reviews | code (Python) | data |
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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 |
bibtex |
reviews
Translation-based recommendation
Ruining He, Wang-Cheng Kang, Julian McAuley
RecSys (best paper runner-up)
pdf |
bibtex |
reviews |
code (C++) |
data
Dance Dance Convolution
Chris Donahue, Zachary Lipton, Julian McAuley
International Conference on Machine Learning (ICML)
pdf |
bibtex |
reviews |
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 |
bibtex |
reviews |
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 |
bibtex |
reviews
Generating and personalizing bundle recommendations on Steam
Apurva Pathak, Kshitiz Gupta, Julian McAuley
SIGIR
pdf |
bibtex |
reviews |
code (Python) |
data
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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 | bibtex | reviews |
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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 |
bibtex |
reviews |
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 |
bibtex |
reviews
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++)
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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 |
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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 |
models |
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 |
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 |
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)
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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
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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)
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reviews |
bibtex |
code (C/Matlab) |
poster |
slides