World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
86
Citations
36532
World Ranking
758
National Ranking
404

Overview

Jiliang Tang is a researcher affiliated with Michigan State University in the United States, specializing in computer science with a focus on artificial intelligence. Their scholarly work spans several subfields including information systems, computer vision and pattern recognition, molecular biology, and statistical and nonlinear physics.

Their primary research topics include advanced graph neural networks, topic modeling, recommender systems and techniques, natural language processing techniques, adversarial robustness in machine learning, anomaly detection techniques and applications, and complex network analysis techniques.

Jiliang Tang's recent publications include:

  • "Opening the Black Box: Interpretable Machine Learning for Geneticists" (2020) published in Trends in Genetics
  • "Recommender Systems in the Era of Large Language Models (LLMs)" (2024) published in IEEE Transactions on Knowledge and Data Engineering
  • "A Graph Neural Network Framework for Social Recommendations" (2020) published in IEEE Transactions on Knowledge and Data Engineering
  • "Trustworthy AI: A Computational Perspective" (2022) published in ACM Transactions on Intelligent Systems and Technology
  • "Adversarial Attacks and Defenses on Graphs" (2021) published in ACM SIGKDD Explorations Newsletter

They have frequently published in venues such as:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Jiliang Tang's frequent coauthors include Yao Ma, Wei Jin, Xiaorui Liu, Zitao Liu, and Wenqi Fan.

They have contributed to book publications, including a title published by Cambridge University Press called Deep Learning on Graphs (2021).

Best Publications

  • Fake News Detection on Social Media: A Data Mining Perspective

    Kai Shu;Amy Sliva;Suhang Wang;Jiliang Tang

  • Feature Selection: A Data Perspective

    Jundong Li;Kewei Cheng;Suhang Wang;Fred Morstatter

  • Graph Neural Networks for Social Recommendation

    Wenqi Fan;Yao Ma;Qing Li;Yuan He

  • Feature selection for classification: A review

    Jiliang Tang;Salem Alelyani;Huan Liu

  • Feature Selection

    Unknown

  • A Survey on Dialogue Systems: Recent Advances and New Frontiers

    Hongshen Chen;Xiaorui Liu;Dawei Yin;Jiliang Tang

  • Heterogeneous Network Embedding via Deep Architectures

    Shiyu Chang;Wei Han;Jiliang Tang;Guo-Jun Qi

  • Social recommendation: a review

    Jiliang Tang;Xia Hu;Huan Liu

  • Graph Structure Learning for Robust Graph Neural Networks

    Wei Jin;Yao Ma;Xiaorui Liu;Xianfeng Tang

  • Exploring temporal effects for location recommendation on location-based social networks

    Huiji Gao;Jiliang Tang;Xia Hu;Huan Liu

  • Adversarial Attacks and Defenses in Images, Graphs and Text: A Review

    Han Xu;Yao Ma;Hao-Chen Liu;Debayan Deb

  • Traffic Flow Prediction via Spatial Temporal Graph Neural Network

    Xiaoyang Wang;Yao Ma;Yiqi Wang;Wei Jin

  • Unsupervised sentiment analysis with emotional signals

    Xia Hu;Jiliang Tang;Huiji Gao;Huan Liu

  • Exploiting social relations for sentiment analysis in microblogging

    Xia Hu;Lei Tang;Jiliang Tang;Huan Liu

  • XGNN: Towards Model-Level Explanations of Graph Neural Networks

    Hao Yuan;Jiliang Tang;Xia Hu;Shuiwang Ji

  • Feature Selection for Clustering: A Review

    Salem Alelyani;Jiliang Tang;Huan Liu

  • Opening the Black Box: Interpretable Machine Learning for Geneticists.

    Christina B. Azodi;Christina B. Azodi;Jiliang Tang;Shin-Han Shiu

  • Deep reinforcement learning for page-wise recommendations

    Xiangyu Zhao;Long Xia;Liang Zhang;Zhuoye Ding

  • Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning

    Xiangyu Zhao;Liang Zhang;Zhuoye Ding;Long Xia

  • Content-aware point of interest recommendation on location-based social networks

    Huiji Gao;Jiliang Tang;Xia Hu;Huan Liu

  • Attributed Network Embedding for Learning in a Dynamic Environment

    Jundong Li;Harsh Dani;Xia Hu;Jiliang Tang

  • Exploiting homophily effect for trust prediction

    Jiliang Tang;Huiji Gao;Xia Hu;Huan Liu

  • Exploring Social-Historical Ties on Location-Based Social Networks

    Huiji Gao;Jiliang Tang;Huan Liu

  • mTrust: discerning multi-faceted trust in a connected world

    Jiliang Tang;Huiji Gao;Huan Liu

Frequent Co-Authors

Huan Liu
Huan Liu Arizona State University
Suhang Wang
Suhang Wang Pennsylvania State University
Dawei Yin
Dawei Yin Baidu (China)
Xia Hu
Xia Hu Rice University
Yi Chang
Yi Chang Jilin University
Charu C. Aggarwal
Charu C. Aggarwal IBM (United States)
Jundong Li
Jundong Li University of Virginia
Qing Li
Qing Li Hong Kong Polytechnic University
Jianping Wang
Jianping Wang City University of Hong Kong
Baoxin Li
Baoxin Li Shaanxi Normal University

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