About Me Affiliation Research Interests Education Selected Publications Academic Services Funding Student Mentoring Honors and Awards


Li Sun

Assistant Professor
School of Control and Computer Engineering
North China Electric Power University
2 Beinong Rd, Changping, Beijing
E-mail:ccesunli@ncepu.edu.cn
[download CV in pdf]   [切换至中文界面]   [DBLP]

About Me

I am currently an assistant professor at School of Control and Computer Engineer, North China Electric Power University (NCEPU), Beijing. Before joining in NCEPU, I received my Ph.D. Degree in Computer Science from Beijing University of Posts and Telecommunications in 2021 supervised by Prof. Su, Sen . I was a visiting scholar at University of Illinois at Chicago advised by Prof. Philip. S. Yu (ACM/IEEE Fellow) from 2019 to 2020.
My research areas are machine learning and data mining with special attentions to graphs and Riemannian representation learning. I have published over 20 refereed papers, including top conferences and journals such as AAAI, IJCAI, ACM The Web Conf. (WWW), ACM CIKM, IEEE ICDM, IEEE TKDE. I have been invited as program committee member in KDD, WSDM, AAAI, IJCAI, ECAI and conference committee member in IEEE BigData, and served as reviewer in ACM TWEB, IJMLC.

Affiliation

Research Interests

My research interests include machine learning and data mining. Currently, I focus on the following research topics:

Education

Selected Publications

  1. Li Sun, Feiyang Wang, Junda Ye, Hao Peng and Philip S. Yu. CONGREGATE: Contrastive Graph Clustering in Curvature Spaces.International Joint Conference on Artificial Intelligence (IJCAI) , 2023.
  2. Junda Ye, Zhongbao Zhang, Li Sun, Hao Peng and Philip S. Yu. SINCERE: Sequential Interaction Networks representation learning on Co-Evolving RiEmannian manifolds. ACM The Web Conference (WWW), 2023.
  3. Li Sun, Junda Ye, Hao Peng, Feiyang Wang and Philip S. Yu. Self-supervised Continual Graph Learning in Adaptive Riemannian Spaces. AAAI Conference on Artificial Intelligence (AAAI), 2023.
  4. Li Sun, Zhongbao Zhang, Jian Wen, Feiyang Wang, Sen Su and Philip S. Yu. Aligning Dynamic Social Networks: An Optimization over Dynamic Graph Autoencoder, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022.
  5. Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su and Philip S. Yu. A Self-supervised Mixed-curvature Graph Neural Network. AAAI Conference on Artificial Intelligence (AAAI), 2022. Acceptance rate: 15%, Oral, pp. 4146-4155.
  6. Li Sun, Junda Ye, Hao Peng and Philip S. Yu. A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning. ACM International Conference on Information and Knowledge Management (CIKM), 2022.
  7. Li Sun, Yang Du, Shuai Gao, Junda Ye, Feiyang Wang, Fuxin Ren, Mingchen Liang, Yue Wang and Shuhai Wang, GroupAligner: A Deep Reinforcement Learning with Domain Adaptation for Social Group Alignment. (ACM TWEB), 2022.
  8. Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng, Sen Su and Philip S. Yu, Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs, AAAI Conference on Artificial Intelligence (AAAI), 2021. Oral, pp. 4375-4383.
  9. Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Yang Du, Sen Su, and Philip S. Yu. Perfect: A Hyperbolic Embedding for Joint User and Community Alignment,IEEE International Conference on Data Mining (ICDM), 2020. Acceptance rate: 10%, Oral, pp. 501-510.
  10. Feiyang Wang , Zhongbao Zhang, Li Sun, Junda Ye, Yang Yan. DiriE: Knowledge Graph Embedding with Dirichlet Distribution. ACM The Web Conference (WWW), 2022.
  11. Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng and Philip S. Yu. Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters, ACM International Conference on Information and Knowledge Management (CIKM), 2020, pp. 315-324
  12. Zhongbao Zhang, Li Sun, Sen Su, Jielun Qu, Gen Li and Jielun Qu. Reconciling Multiple Social Networks Effectively and Efficiently: An Embedding Approach, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019.
  13. Sen Su, Li Sun, Zhongbao Zhang, Gen Li and Jielun Qu. MASTER: across Multiple social networks, integrate Attribute and STructure Embedding for Reconciliation, International Joint Conference on Artificial Intelligence (IJCAI). Oral paper, 2018.

Academic Services

  • Conference Program Committee:
      • AAAI Conference on Artificial Intelligence (AAAI)
      2023,2022,2021
      ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
      2022
      ACM International Conference on Web Search and Data Mining (WSDM)
      2022
      International Joint Conference on Artificial Intelligence (IJCAI)
      2021
      European Conference on Artificial Intelligence (ECAI)
      2020
  • Invited Journal Reviewer:
      • ACM Transactions on the Web (ACM TWEB)
      International Journal of Machine Learning and Cybernetics (IJMLC)

    Funding

    Student Mentoring

    Honors and Awards