Yu, Philip S.

Privacy-Preserving Deep Learning Model for Decentralized VANETs Using Fully Homomorphic Encryption and Blockchain

Chen, J., Li, K., & Yu, P. S. (2022) · IEEE Transactions on Intelligent Transportation Systems

Vehicular Ad Hoc Networks (VANETs)Blockchain Technology Applications and Security

Cited by 116

LLM Agents for Education: Advances and Applications

Chu, Z., Wang, S., Xie, J., Zhu, T., Yan, Y., Ye, J., Zhong, A., Hu, X., Liang, J., Yu, P. S., et al. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025

Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive Learning

Cited by 96

Automated confidence ranked classification of randomized controlled trial articles: an aid to evidence-based medicine

Cohen, A. M., Smalheiser, N. R., McDonagh, M. S., Yu, C., Adams, C. E., Davis, J. M., & Yu, P. S. (2015) · Journal of the American Medical Informatics Association

Meta-analysis and systematic reviewsBiomedical Text Mining and Ontologies

Cited by 78

The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies

He, F., Zhu, T., Ye, D., Liu, B., Zhou, W., & Yu, P. S. (2024) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 60

The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies

He, F., Zhu, T., Ye, D., Liu, B., Zhou, W., & Yu, P. S. (2026) · ACM Computing Surveys

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 58

A Survey of AIOps in the Era of Large Language Models

Zhang, L., Jia, T., Jia, M., Wu, Y., Liu, A., Yang, Y., Wu, Z., Hu, X., Yu, P., & Li, Y. (2026) · ACM Computing Surveys

Software System Performance and ReliabilitySoftware Engineering Research

Cited by 49

Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market

Peng, H., Li, J., Wang, Z., Yang, R., Liu, M., Zhang, M., Yu, P., & He, L. (2021) · IEEE Transactions on Knowledge and Data Engineering

Housing Market and EconomicsAdvanced Graph Neural Networks

Cited by 43

A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models

Ning, L., Liang, Z., Jiang, Z., Qu, H., Ding, Y., Fan, W., Wei, X.-Y., Lin, S., Liu, H., Yu, P. S., et al. (2025) · arXiv

Web Data Mining and AnalysisInformation Retrieval and Search Behavior

Cited by 30

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing

Du, J., Wang, Y., Zhao, W., Deng, Z., Liu, S., Lou, R., Zou, H. P., Narayanan Venkit, P., Zhang, N., Srinath, M., et al. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 23

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System

Liu, Y., Zhang, C., Yan, X., Chang, Y., & Yu, P. S. (2019) · Proceedings of the 28th ACM International Conference on Information and Knowledge Management

Topic ModelingInformation Retrieval and Search Behavior

Cited by 15

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning

Sun, Q., Yuan, J., He, S., Guan, X., Yuan, H., Fu, X., Li, J., & Yu, P. S. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 14

AI Agent for Information Retrieval: Generating and Ranking

Zhang, Y., Liu, Z., Wen, Q., Pang, L., Liu, W., & Yu, P. S. (2024) · Proceedings of the 33rd ACM International Conference on Information and Knowledge Management

Information Retrieval and Search BehaviorTopic Modeling

Cited by 11

Disclosure and Mitigation of Gender Bias in LLMs

Dong, X., Wang, Y., Yu, P. S., & Caverlee, J. (2024) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 7

Breaking the Reviewer: Assessing the Vulnerability of Large Language Models in Automated Peer Review Under Textual Adversarial Attacks

Lin, T.-L., Chen, W.-C., Hsiao, T.-F., Liu, H.-I., Yeh, Y.-H., Chan, Y.-K., Lien, W.-S., Kuo, P.-Y., Yu, P. S., & Shuai, H.-H. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 6

Large Language Model Agent: A Survey on Methodology, Applications and Challenges

Luo, J., Zhang, W., Yuan, Y., Zhao, Y., Yang, J., Gu, Y., Wu, B., Chen, B., Qiao, Z., Long, Q., et al. (2025) · arXiv

Multi-Agent Systems and NegotiationAI-based Problem Solving and Planning

Cited by 5

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing

Du, J., Wang, Y., Zhao, W., Deng, Z., Liu, S., Lou, R., Zou, H. P., Venkit, P. N., Zhang, N., Srinath, M., et al. (2024) · arXiv

Topic ModelingAcademic Writing and Publishing

Cited by 2

RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback

Miao, C., Zou, H. P., Li, Y., Chen, Y., Wang, Y., Wang, F., Li, Y., Yang, W., He, B., Zhang, X., et al. (2025) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 0

Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety

Huang, W.-C., Zou, H. P., Wu, Y., Li, D., Chen, Y., Zhang, W., Li, Y., Zangari, A., Guo, J., Miao, C., et al. (2025) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 0