Zhang, Yongfeng

Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

Geng, S., Liu, S., Fu, Z., Ge, Y., & Zhang, Y. (2022) · Proceedings of the 16th ACM Conference on Recommender Systems

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 556

Personalized Prompt Learning for Explainable Recommendation

Li, L., Zhang, Y., & Chen, L. (2023) · ACM Transactions on Information Systems

Recommender Systems and TechniquesExplainable Artificial Intelligence (XAI)

Cited by 172

Generate Neural Template Explanations for Recommendation

Li, L., Zhang, Y., & Chen, L. (2020) · Proceedings of the 29th ACM International Conference on Information & Knowledge Management

Recommender Systems and TechniquesExplainable Artificial Intelligence (XAI)

Cited by 149

Personalized Transformer for Explainable Recommendation

Li, L., Zhang, Y., & Chen, L. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Recommender Systems and TechniquesExplainable Artificial Intelligence (XAI)

Cited by 124

A-Mem: Agentic Memory for LLM Agents

Xu, W., Liang, Z., Mei, K., Gao, H., Tan, J., & Zhang, Y. (2025) · Advances in Neural Information Processing Systems 38

AI-based Problem Solving and PlanningTopic Modeling

Cited by 51

Fairness-aware Federated Matrix Factorization

Liu, S., Ge, Y., Xu, S., Zhang, Y., & Marian, A. (2022) · Proceedings of the 16th ACM Conference on Recommender Systems

Privacy-Preserving Technologies in DataRecommender Systems and Techniques

Cited by 43

The Impact of Reasoning Step Length on Large Language Models

Jin, M., Yu, Q., Shu, D., Zhao, H., Hua, W., Meng, Y., Zhang, Y., & Du, M. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 39

Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers

Geng, S., Gao, P., Chatterjee, M., Hori, C., Le Roux, J., Zhang, Y., Li, H., & Cherian, A. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsSpeech and dialogue systems

Cited by 38

A Survey on Trustworthy LLM Agents: Threats and Countermeasures

Yu, M., Meng, F., Zhou, X., Wang, S., Mao, J., Pang, L., Chen, T., Wang, K., Li, X., Zhang, Y., et al. (2025) · arXiv

Access Control and TrustAdversarial Robustness in Machine Learning

Cited by 34

A Survey on Trustworthy LLM Agents: Threats and Countermeasures

Yu, M., Meng, F., Zhou, X., Wang, S., Mao, J., Pan, L., Chen, T., Wang, K., Li, X., Zhang, Y., et al. (2025) · Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2

Access Control and TrustAdversarial Robustness in Machine Learning

Cited by 34

War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars

Hua, W., Fan, L., Li, L., Mei, K., Ji, J., Ge, Y., Hemphill, L., & Zhang, Y. (2023) · arXiv

Multi-Agent Systems and NegotiationArtificial Intelligence in Games

Cited by 15

AutoFlow: Automated Workflow Generation for Large Language Model Agents

Li, Z., Xu, S., Mei, K., Hua, W., Rama, B., Raheja, O., Wang, H., Zhu, H., & Zhang, Y. (2024) · arXiv

AI-based Problem Solving and PlanningNatural Language Processing Techniques

Cited by 6