McAuley, Julian

Inferring Networks of Substitutable and Complementary Products

McAuley, J., Pandey, R., & Leskovec, J. (2015) · Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Recommender Systems and TechniquesComplex Network Analysis Techniques

Cited by 645

Large Language Models are Zero-Shot Rankers for Recommender Systems

Hou, Y., Zhang, J., Lin, Z., Lu, H., Xie, R., McAuley, J., & Zhao, W. X. (2024) · Lecture Notes in Computer Science

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 327

Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples

Hussain, S., Neekhara, P., Jere, M., Koushanfar, F., & McAuley, J. (2021) · 2021 IEEE Winter Conference on Applications of Computer Vision (WACV)

Digital Media Forensic DetectionAdversarial Robustness in Machine Learning

Cited by 204

Addressing Complex and Subjective Product-Related Queries with Customer Reviews

McAuley, J., & Yang, A. (2016) · Proceedings of the 25th International Conference on World Wide Web

Sentiment Analysis and Opinion MiningInformation Retrieval and Search Behavior

Cited by 190

Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders

Hou, Y., He, Z., McAuley, J., & Zhao, W. X. (2023) · Proceedings of the ACM Web Conference 2023

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 172

AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems

Zhang, J., Hou, Y., Xie, R., Sun, W., McAuley, J., Zhao, W. X., Lin, L., & Wen, J.-R. (2024) · Proceedings of the ACM Web Conference 2024

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 94

Modeling Heart Rate and Activity Data for Personalized Fitness Recommendation

Ni, J., Muhlstein, L., & McAuley, J. (2019) · The World Wide Web Conference

Context-Aware Activity Recognition SystemsRecommender Systems and Techniques

Cited by 94

Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems

Wan, M., & McAuley, J. (2016) · 2016 IEEE 16th International Conference on Data Mining (ICDM)

Expert finding and Q&A systemsSentiment Analysis and Opinion Mining

Cited by 92

Addressing Marketing Bias in Product Recommendations

Wan, M., Ni, J., Misra, R., & McAuley, J. (2020) · Proceedings of the 13th International Conference on Web Search and Data Mining

Recommender Systems and TechniquesEthics and Social Impacts of AI

Cited by 81

StarCoder 2 and The Stack v2: The Next Generation

Lozhkov, A., Li, R., Allal, L. B., Cassano, F., Lamy-Poirier, J., Tazi, N., Tang, A., Pykhtar, D., Liu, J., Wei, Y., et al. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 74

A Survey of Agent Memory in the Second Half: Towards Self-Evolving and Long-Horizon Agents

Huang, W.-C., Zhang, W., Liang, Y., Bei, Y., Chen, Y., Feng, T., Pan, X., Tan, Z., Wang, Y., Wei, T., et al. (2026) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 70

Cognitive bias in decision-making with LLMs

Echterhoff, J. M., Liu, Y., Alessa, A., McAuley, J., & He, Z. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 62

Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders

Hou, Y., Li, J., Fu, X., He, Z., Yan, A., Chen, X., & McAuley, J. (2024) · arXiv

Topic ModelingRecommender Systems and Techniques

Cited by 59

Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders

Hou, Y., Li, J., Fu, X., He, Z., Yan, A., Chen, X., & McAuley, J. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingRecommender Systems and Techniques

Cited by 59

LongCoder: A Long-Range Pre-trained Language Model for Code Completion

Guo, D., Xu, C., Duan, N., Yin, J., & McAuley, J. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 16

Large Language Models and Causal Inference in Collaboration: A Survey

Liu, X., Xu, P., Wu, J., Yuan, J., Yang, Y., Zhou, Y., Liu, F., Guan, T., Wang, H., Yu, T., et al. (2024) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 14

The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models

Chen, Z., Jiang, Z., Yang, F., He, Z., Hou, Y., Cho, E., McAuley, J., Galstyan, A., Hu, X., & Yang, J. (2023) · Proceedings of the 32nd ACM International Conference on Information and Knowledge Management

Recommender Systems and TechniquesTopic Modeling

Cited by 5

MEMORYLLM: Towards Self-Updatable Large Language Models

Wang, Y., Gao, Y., Chen, X., Jiang, H., Li, S., Yang, J., Yin, Q., Li, Z., Li, X., Yin, B., et al. (2024) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 4

Symbolic Representation for Any-to-Any Generative Tasks

Chen, J., Zhu, X., Wang, Y., Liu, T., Chen, X., Chen, Y., Leong, C. T., Ke, Y., Liu, J., Yuan, Y., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 2

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Hu, Y., Wang, Y., & McAuley, J. (2025) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 1

M+: Extending MemoryLLM with Scalable Long-Term Memory

Wang, Y., Krotov, D., Hu, Y., Gao, Y., Zhou, W., McAuley, J., Gutfreund, D., Feris, R., & He, Z. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

MemoryArena: Benchmarking Agent Memory in Interdependent Multi-Session Agentic Tasks

He, Z., Wang, Y., Zhi, C., Hu, Y., Chen, T.-P., Yin, L., Chen, Z., Wu, T. A., Ouyang, S., Wang, Z., et al. (2026) · arXiv

AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior

Cited by 0

Mem-α: Learning Memory Construction via Reinforcement Learning

Wang, Y., Takanobu, R., Liang, Z., Mao, Y., Hu, Y., McAuley, J., & Wu, X. (2025) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 0

CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory

He, Z., Karlinsky, L., Kim, D., McAuley, J., Krotov, D., & Feris, R. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0