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Julian McAuley

Associate Professor



Room 4102 Computer Science Department @ UCSD



e-mail: ude.dscu.gne@yeluacmj

We've put together a new version of our Amazon data, including more reviews and additional metadata

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

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

News

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

7/2020: Article about recipes w/ Shuyang published in Harvard Data Science Review (pdf)

7/2020: Paper w/ Henry, Shuyang, and Gary accepted to Interspeech 2020

7/2020: Selected for funding by Facebook Research

7/2020: Paper with Herman, Ke, and Taylor accepted to ISMIR 2020

6/2020: Paper with Adrian, Beth, and Leo accepted to ICER 2020

4/2020: Paper with Noveen accepted to SIGIR 2020

4/2020: Some media about our recipe generation paper: Science Node

1/2020: Paper with Mehrab, Congzhe, Ethan, Diane, and Liangjie accepted to WWW 2020

12/2019: I will run the SoCal Machine Learning Symposium with Jingbo and Hao

12/2019: Paper w/ Hengrui accepted to SDM 2020

12/2019: Some media about our recipe generation paper: UCSD News

10/2019: Two papers w/ Mengting, Jianmo, Rishabh, Jiacheng, and Yujie accepted to WSDM 2020

Acknowledgements

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

Publications

2020

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)

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)

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

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

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

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

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

Association for Computational Linguistics (NAACL)

pdf | reviews | bibtex | code (Python)

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

Generating user-customized items using a visually-aware image generation network

Chen Fang, Zhaowen Wang, Wang-Cheng Kang, Julian McAuley

U.S. Patent Application 15/897,856

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

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

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

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)

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

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