Li Sun

Li Sun

Assistant Professor

North China Electric Power Univ ccesunli@ncepu.edu.cn

Biography

Dr. Sun, Li is currently an assistant professor at North China Electric Power University, Beijing. He received the Ph.D. Degree in Computer Science from Beijing University of Posts and Telecommunications in 2021 supervised by Prof. Su, Sen, and visited University of Illinois at Chicago advised by Prof. Philip. S. Yu (ACM/IEEE Fellow).

His research areas are machine learning and data mining with special attentions to graphs. He has published in WWW, AAAI, IJCAI, ICDM, CIKM and IEEE TKDE, ACM TWEB, ACM TIST. He has been invited as program committee in KDD, WSDM, AAAI, IJCAI, ECAI and conference committee in IEEE BigData, IEEE SocialCom, and served as reviewer in ACM TKDD, ACM TWEB, ACM TIST and IJMLC.

Interests

  • Machine Learning
  • Social Network Analysis
  • Knowledge Discovery & Data Ming

Education

  • Assistant Professor, 2021 − Now

    North China Electric Power Univ., Beijing, China

  • Visiting Scholar, 2019 − 2020

    Univ. of Illinois at Chicago, USA

  • Ph.D., 2016 − 2021

    Beijing Univ. of Posts and Telecomm., China

  • B.Eng., 2012 - 2016

    Beijing Univ. of Posts and Telecomm., China

Professional Services

Program Committee: SIGKDD’23/’22, AAAI’24/’23/’22/’21, IJCAI’22, WSDM’22, ECAI’20, etc.

Guest Editor: Electronics

Journal Reviewer: ACM TWEB, ACM TKDD, ACM TIST, International Journal of Machine Learning & Cybernetics, etc.

Publicity Chair: IEEE SocialCom’23 Section Chair: IEEE BigData’19

Experience

 
 
 
 
 

Assistant Professor

North China Electric Power Univ.

Sep 2021 – Present Beijing, China
Assistant Professor at School of Control & Computer Engineering
 
 
 
 
 

Visiting Scholar

Univ. of Illinois at Chicago

Sep 2019 – Jul 2020 USA
  • Advisor: Prof. Philip S. Yu (ACM/IEEE Fellow)
 
 
 
 
 

Ph.D.

Beijing Univ. of Posts and Telecomm.

Sep 2016 – Jul 2021 China
  • Computer Science (Dissertation: Research on Social Network Alignment)
  • Advisor: Prof. Sen Su
  • Beijing Outstanding Postgraduate Award, National Scholarship in 2019.
 
 
 
 
 

B.Eng.

Beijing Univ. of Posts and Telecomm.

Sep 2012 – Jul 2016 Chian
  • Internet of Things
  • Beijing Outstanding Graduate Award, National Scholarship in 2014 & 2015.

Funding

*
All Deep Learning Other

Fundamental Research Funds for the Central Universities

General Project, Social Network Fusion with Riemannian GNNs (2022-2024).

National Natural Science Foundation of China

Young Scholar, Dynamic Social Network Representation and Alignment (2023-2025).

Honors

ACM CIKM’22, Best Paper Winners (Honorable Mention) Oct., 2022

Academic 开源

Recent Publications

A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning

[C5] Li Sun, Junda Ye, Hao Peng, Feiyang Wang and Philip S. Yu, A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning, CIKM’22, pp. 1827-1836. Best Paper Winners (Honorable Mention), 6/283.
Li Sun, Junda Ye, Hao Peng, Feiyang Wang and Philip S. Yu

DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing

[C2] Li Sun, Zhenhao Huang, Hua Wu, Junda Ye, Hao Peng, Zhengtao Yu and Philip S.Yu, DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing, ICDM’23.
Li Sun, Zhenhao Huang, Hua Wu, Junda Ye, Hao Peng, Zhengtao Yu and Philip S.Yu

Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

[C10] Yingtong Dou, Zhiwei Liu, Li Sun,Yutong Deng, Hao Peng and Philip S. Yu, Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters, CIKM’20, pp. 315-324.
Yingtong Dou, Zhiwei Liu, Li Sun,Yutong Deng, Hao Peng and Philip S. Yu

MC2:Unsupervised Multiple Social Network Alignment

[C14] Gen Li, Li Sun, Zhongbao Zhang, Pengxin Ji, Sen Su and Philip S. Yu, MC2: Unsupervised Multiple Social Network Alignment, IEEE BigData’19, 1151-1156.
Gen Li, Li Sun, Zhongbao Zhang, Pengxin Ji, Sen Su and Philip S. Yu

SINCERE: Sequential Interaction Networks representation learning on Co-Evolving RiEmannian manifolds

[C3] Junda Ye, Zhongbao Zhang, Li Sun, Yang Yan, Feiyang Wang and Fuxin Ren,SINCERE: Sequential Interaction Networks representation learning on Co-Evolving RiEmannian manifolds, ACM The Web Conf.’23 (WWW), pp. 360-371.
Junda Ye, Zhongbao Zhang, Li Sun, Yang Yan, Feiyang Wang, Fuxin Ren
See all publications

Recent & Upcoming Talks

Non-Euclidean Graph Neural Networks & its Applications

Non-Euclidean graph neural networks and its applications.
Jan 1, 0001 12:00 AM Hebei University of Technology

Popularity Estimation across Multiple Social Networks

Popularity estimation across multiple social networks
Jan 1, 0001 12:00 AM Beijing University of Posts and Telecommunications

Representing & Aligning Networks in Hyperbolic Spaces

Representing and aligning networks in hyperbolic spaces
Jan 1, 0001 12:00 AM DataFun Summit

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