Tang, Jiliang

Fake News Detection on Social Media: A Data Mining Perspective

Shu, K., Sliva, A., Wang, S., Tang, J., & Liu, H. (2017) · ACM SIGKDD Explorations Newsletter

Misinformation and Its ImpactsSpam and Phishing Detection

Cited by 3,304

Feature Selection: A Data Perspective

Li, J., Cheng, K., Wang, S., Morstatter, F., Trevino, R. P., Tang, J., & Liu, H. (2018) · ACM Computing Surveys

Statistical Methods and InferenceFace and Expression Recognition

Cited by 2,442

Traffic Flow Prediction via Spatial Temporal Graph Neural Network

Wang, X., Ma, Y., Wang, Y., Jin, W., Wang, X., Tang, J., Jia, C., & Yu, J. (2020) · Proceedings of The Web Conference 2020

Traffic Prediction and Management TechniquesTraffic control and management

Cited by 644

A Survey on Dialogue Systems: Recent Advances and New Frontiers

Chen, H., Liu, X., Yin, D., & Tang, J. (2017) · ACM SIGKDD Explorations Newsletter

Speech and dialogue systemsAI in Service Interactions

Cited by 579

Recommender Systems in the Era of Large Language Models (LLMs)

Zhao, Z., Fan, W., Li, J., Liu, Y., Mei, X., Wang, Y., Wen, Z., Wang, F., Zhao, X., Tang, J., et al. (2024) · IEEE Transactions on Knowledge and Data Engineering

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 481

Opening the black box: interpretable machine learning for geneticists

Azodi, C. B., Tang, J., & Shiu, S.-H. (2020) · Trends in Genetics

Explainable Artificial Intelligence (XAI)Genetic Associations and Epidemiology

Cited by 473

Trustworthy AI: A Computational Perspective

Liu, H., Wang, Y., Fan, W., Liu, X., Li, Y., Jain, S., Liu, Y., Jain, A. K., & Tang, J. (2021) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 261

Trustworthy ai: A computational perspective

Liu, H., Wang, Y., Fan, W., Liu, X., Li, Y., Jain, S., Liu, Y., Jain, A., & Tang, J. (2023) · ACM Transactions on Intelligent Systems and Technology

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 261

Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs

Chen, Z., Mao, H., Li, H., Jin, W., Wen, H., Wei, X., Wang, S., Yin, D., Fan, W., Liu, H., et al. (2024) · ACM SIGKDD Explorations Newsletter

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 209

Memory Injection Attacks on LLM Agents via Query-Only Interaction

Dong, S., Xu, S., He, P., Li, Y., Tang, J., Liu, T., Liu, H., & Xiang, Z. (2025) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 124

Trust in Social Media

Tang, J., & Liu, H. (2015) · Synthesis Lectures on Information Security, Privacy, and Trust

Privacy, Security, and Data ProtectionAccess Control and Trust

Cited by 53

Characterizing the Decision Boundary of Deep Neural Networks

Karimi, H., Derr, T., & Tang, J. (2019) · arXiv

Adversarial Robustness in Machine LearningExplainable Artificial Intelligence (XAI)

Cited by 46

Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis

Lin, Y., He, P., Xu, H., Xing, Y., Yamada, M., Liu, H., & Tang, J. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 46

Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles

Fan, W., Zhao, X., Li, Q., Derr, T., Ma, Y., Liu, H., Wang, J., & Tang, J. (2023) · IEEE Transactions on Knowledge and Data Engineering

Recommender Systems and TechniquesAdversarial Robustness in Machine Learning

Cited by 41

Retrieval-Augmented Generation with Graphs (GraphRAG)

Han, H., Wang, Y., Shomer, H., Guo, K., Ding, J., Lei, Y., Halappanavar, M., Rossi, R. A., Mukherjee, S., Tang, X., et al. (2025) · arXiv

Topic ModelingAdvanced Graph Neural Networks

Cited by 34

Unveiling Privacy Risks in LLM Agent Memory

Wang, B., He, W., Zeng, S., Xiang, Z., Xing, Y., Tang, J., & He, P. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 24

Unveiling Privacy Risks in LLM Agent Memory

Wang, B., He, W., Zeng, S., Xiang, Z., Xing, Y., Tang, J., & He, P. (2025) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 23

Content Knowledge Identification with Multi-agent Large Language Models (LLMs)

Yang, K., Chu, Y., Darwin, T., Han, A., Li, H., Wen, H., Copur-Gencturk, Y., Tang, J., & Liu, H. (2024) · Lecture Notes in Computer Science

Mathematics Education and Teaching TechniquesIntelligent Tutoring Systems and Adaptive Learning

Cited by 17

Memory-efficient Embedding for Recommendations

Zhao, X., Liu, H., Liu, H., Tang, J., Guo, W., Shi, J., Wang, S., Gao, H., & Long, B. (2020) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 16

RAG vs. GraphRAG: A Systematic Evaluation and Key Insights

Han, H., Ma, L., Wang, Y., Shomer, H., Guo, K., Lei, Y., Qi, Z., Hua, Z., Long, B., Liu, H., et al. (2026) · Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2

Topic ModelingInformation Retrieval and Search Behavior

Cited by 12

Understanding and Predicting Weight Loss with Mobile Social Networking Data

Wang, Z., Derr, T., Yin, D., & Tang, J. (2017) · Proceedings of the 2017 ACM on Conference on Information and Knowledge Management

Mobile Health and mHealth ApplicationsHuman Mobility and Location-Based Analysis

Cited by 9

How Memory Management Impacts LLM Agents: An Empirical Study of Experience-Following Behavior

Xiong, Z., Lin, Y., Xie, W., He, P., Liu, Z., Tang, J., Lakkaraju, H., & Xiang, Z. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 4

Enhancing LLM-Based Short Answer Grading with Retrieval-Augmented Generation

Chu, Y., He, P., Li, H., Han, H., Yang, K., Xue, Y., Li, T., Krajcik, J., & Tang, J. (2025) · arXiv

Artificial Intelligence in EducationEducational Technology and Assessment

Cited by 4