World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
65
Citations
29592
World Ranking
2393
National Ranking
1194

Overview

Julian McAuley is affiliated with the University of California, San Diego in the United States. Their research primarily lies within the field of Computer Science, with a strong focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing, and Management Science and Operations Research.

Their scholarly output spans topics such as Topic Modeling, Natural Language Processing Techniques, Recommender Systems and Techniques, Music and Audio Processing, Multimodal Machine Learning Applications, Music Technology and Sound Studies, and Domain Adaptation and Few-Shot Learning.

Some recent publications include:

  • Intent Contrastive Learning for Sequential Recommendation, 2022, Proceedings of the ACM Web Conference 2022
  • ReZero is All You Need: Fast Convergence at Large Depth, 2020, arXiv (Cornell University)
  • RadBERT: Adapting Transformer-based Language Models to Radiology, 2022, Radiology Artificial Intelligence
  • Deep reinforcement learning in recommender systems: A survey and new perspectives, 2023, Knowledge-Based Systems
  • What's in a Name? Understanding the Interplay between Titles, Content, and Communities in Social Media, 2021, Proceedings of the International AAAI Conference on Web and Social Media

Frequently collaborating researchers include Taylor Berg-Kirkpatrick, Lina Yao, Zexue He, Canwen Xu, and Zhankui He, reflecting sustained partnerships in multiple projects and publications.

Julian McAuley has contributed to several renowned venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Zenodo (CERN European Organization for Nuclear Research)
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Proceedings of the 31st ACM International Conference on Information & Knowledge Management

Additionally, McAuley has published a book titled Personalized Machine Learning in 2022 through Cambridge University Press.

Best Publications

  • Self-Attentive Sequential Recommendation

    Wang-Cheng Kang;Julian McAuley

  • Image-Based Recommendations on Styles and Substitutes

    Julian McAuley;Christopher Targett;Qinfeng Shi;Anton van den Hengel

  • Learning to Discover Social Circles in Ego Networks

    Jure Leskovec;Julian J. Mcauley

  • Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering

    Ruining He;Julian McAuley

  • Hidden factors and hidden topics: understanding rating dimensions with review text

    Julian McAuley;Jure Leskovec

  • Community Detection in Networks with Node Attributes

    Jaewon Yang;Julian McAuley;Jure Leskovec

  • Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects.

    Jianmo Ni;Jiacheng Li;Julian J. McAuley

  • VBPR: visual Bayesian Personalized Ranking from implicit feedback

    Ruining He;Julian McAuley

  • Inferring Networks of Substitutable and Complementary Products

    Julian McAuley;Rahul Pandey;Jure Leskovec

  • Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation

    Ruining He;Julian McAuley

  • From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews

    Julian John McAuley;Jure Leskovec

  • Learning Graph Matching

    T.S. Caetano;J.J. McAuley;Li Cheng;Q.V. Le

  • Time Interval Aware Self-Attention for Sequential Recommendation

    Jiacheng Li;Yujie Wang;Julian McAuley

  • Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering

    Tong Zhao;Julian McAuley;Irwin King

  • Translation-based Recommendation

    Ruining He;Wang-Cheng Kang;Julian McAuley

  • Discovering social circles in ego networks

    Julian Mcauley;Jure Leskovec

  • Learning Visual Clothing Style with Heterogeneous Dyadic Co-Occurrences

    Andreas Veit;Balazs Kovacs;Sean Bell;Julian McAuley

  • Learning Attitudes and Attributes from Multi-aspect Reviews

    Julian McAuley;Jure Leskovec;Dan Jurafsky

  • Visually-Aware Fashion Recommendation and Design with Generative Image Models

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

  • Adversarial Audio Synthesis

    Chris Donahue;Julian J. McAuley;Miller S. Puckette

  • BERT Loses Patience: Fast and Robust Inference with Early Exit

    Wangchunshu Zhou;Canwen Xu;Tao Ge;Julian J. McAuley

  • Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior.

    Ruining He;Wang-Cheng Kang;Julian J. McAuley

Frequent Co-Authors

Jure Leskovec
Jure Leskovec Stanford University
Zachary C. Lipton
Zachary C. Lipton Carnegie Mellon University
Farinaz Koushanfar
Farinaz Koushanfar University of California, San Diego
Garrison W. Cottrell
Garrison W. Cottrell University of California, San Diego
Qinfeng Shi
Qinfeng Shi University of Adelaide
Chun-Nan Hsu
Chun-Nan Hsu University of California, San Diego
Alexander J. Smola
Alexander J. Smola Amazon (United States)
Anton van den Hengel
Anton van den Hengel University of Adelaide
Dan Jurafsky
Dan Jurafsky Stanford University

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