1. Machine Learning for Causal Inference
    Zhixuan Chu, Jing Ma, Jundong Li, Sheng Li
    AAAI Conference on Artificial Intelligence (AAAI 2023)
  2. Fairness in Graph Mining: Metrics, Algorithms, and Applications
    Yushun Dong, Jing Ma, Chen Chen, Jundong Li
    The IEEE International Conference on Data Mining (ICDM 2022)


  1. Fairness in Graph Mining: A Survey [PDF]
    Yushun Dong, Jing Ma, Chen Chen, Jundong Li
    arXiv preprint arXiv:2204.09888 (arXiv 2022)


  1. Interpreting Unfairness in Graph Neural Networks via Training Node Attribution
    Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li
    AAAI Conference on Artificial Intelligence (AAAI), 2022. (Acceptance rate: 19.6%)
  2. CLEAR: Generative Counterfactual Explanations on Graphs [PDF] [Code]
    Jing Ma, Ruocheng Guo, Saumitra Mishra, Aidong Zhang, Jundong Li
    Neural Information Processing Systems (NeurIPS), 2022. (Acceptance rate: 25.6%)
  3. Learning Causality with Graphs
    Jing Ma, Jundong Li
    AI Magazine, 2022
  4. SemiITE: Semi-supervised Individual Treatment Effect Estimation via Disagreement-Based Co-training [PDF]
    Qiang Huang, Jing Ma, Jundong Li, Huiyan Sun, Yi Chang
    European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2022. (Acceptance Rate: 26%)
  5. Learning Causal Effects on Hypergraphs [PDF] [Code] Best Paper Award
    Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent Hecht, Jaime Teevan
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022. (Acceptance Rate: 14.99%)
  6. Empowering Next POI Recommendation with Multi-Relational Modeling [PDF]
    Zheng Huang, Jing Ma, Yushun Dong, Natasha Foutz, Jundong Li
    ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), short paper, 2022. (Acceptance Rate: 24.73%)
  7. Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US [PDF] [Code]
    Jing Ma, Yushun Dong, Zheng Huang, Daniel Mietchen, Jundong Li
    International World Wide Web Conference (WWW), 2022. (Acceptance Rate: 17.7%)
  8. Learning Fair Node Representations with Graph Counterfactual Fairness [PDF] [Code]
    Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li
    ACM International Conference on Web Search and Data Mining (WSDM), 2022. (Acceptance Rate: 20.2%)
  9. Multi-Cause Effect Estimation with Disentangled Confounder Representation [PDF] [Code]
    Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li
    International Joint Conference on Artificial Intelligence (IJCAI), 2021. (Acceptance Rate: 13.9%)
  10. Learning from Crowds by Modeling Common Confusions [PDF] [Code]
    Zhendong Chu, Jing Ma, Hongning Wang
    AAAI Conference on Artificial Intelligence (AAAI), 2021. (Acceptance Rate: 21%)
  11. Deconfounding with Networked Observational Data in a Dynamic Environment [PDF] [Code]
    Jing Ma, Ruocheng Guo, Chen Chen, Aidong Zhang, Jundong Li
    ACM International Conference on Web Search and Data Mining (WSDM), 2021. (Acceptance Rate: 18.6%)
  12. Selective Sampling for Building Sensor Type Classification [PDF] [Code]
    Jing Ma, Dezhi Hong, Hongning Wang
    ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN), 2020. (Acceptance Rate: 21.7%)
  13. Distributed K-means Algorithm for Optimizing the Extended Index Layer on RDD
    Jing Ma, Li Li
    Computer Engineering and Applications (CE&A), 2022
  14. Top-k Critical Vertices Query on Shortest Path [PDF]
    Jing Ma, Bin Yao, Xiaofeng Gao, Yanyan Shen, Minyi Guo
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018
  15. Performance evaluation of WiFi Direct for data dissemination in mobile social networks [PDF]
    Zhifei Mao, Jing Ma, Yuming Jiang, Bin Yao
    IEEE Symposium on Computers and Communications (ISCC), 2017