网络空间安全学院
 SCHOOL OF CYBER SCIENCE AND ENGINEERING
 
Sample content image, right-aligned with border
Beibei Li, IEEE Senior Member, is currently a Full Professor (Doctoral Advisor) with the School of Cyber Science and Engineering, P.R. China. He received his B.E. degree (awarded Outstanding Graduate) in communication engineering from Beijing University of Posts and Telecommunications, China, in July 2014 and his Ph.D. degree (awarded Full Research Scholarship) from Nanyang Technological University, Singapore, in March 2019. He was invited as a short-term visiting researcher at the Canadian Institute for Cybersecurity, University of New Brunswick, Canada and also the research group of NEtworked Sensing and Control (NESC), Zhejiang University, P.R. China. He is named in the World's Top 2% of Scientists List 2023 .

He is now serving as an Associate Editor for the Journal of Information Processing Systems, and a TPC Member for the IJCAI 2024, IEEE GLOBECOM 2024, PST 2024.

"We are currently looking for highly self-motivated Postdoctoral Researchers, PhD Students, Postgraduate Students, and Undergraduate Students, as well as Research Assistants and Interns, who have strong interests in cybersecurity research. You are welcome to drop me an email, if of any interest."

Research Interests

Dr. Li's research interests span several areas in security and privacy issues on Internet of Things (IoT) and Cyber-Physical Systems (CPSs), with a focus on:
  • Industrial Control System Security/Smart Grid Security/Cyber-Physical Security
  • Internet of Things Security/Industrial Internet of Things Security
  • Data Security/Privacy Preservation/Applied Cryptography
  • Artificial Immune/Artificial Intelligence Security

News

  • [Jul. 25th, 2024] Our paper "TAMT: Privacy-Preserving Task Assignment with Multi-Threshold Range Search for Spatial Crowdsourcing Applications" (Haiyong Bao, Zhehong Wang, Rongxing Lu, Cheng Huang, Beibei Li) was accepted by IEEE Transactions on Big Data.
  • [Jul. 16th, 2024] Our paper "Enhanced Tensorial Self-Representation Subspace Learning for Incomplete Multi-View Clustering" (Hangjun Che, Xinyu Pu, Deqiang Ouyang, Beibei Li) was accepted by 2024 ACM Multimedia.
  • [Jul. 5th, 2024] Our paper "FedRFC: Federated Learning with Recursive Fuzzy Clustering for Improved Non-IID Data Training" (Yuxiao Deng, Anqi Wang, Lei Zhang, Ying Lei, Beibei Li, Yizhou Li) was accepted by Future Generation Computer Systems.
  • Read More



  • Address: No. 24, 1st South Section, Yihuan Road, Wuhou District, Chengdu, Sichuan Province, P.R. China 610065
    You Are the  -th Visitor to This Website, Since Feb. 29, 2020.
    Copyright © 2023 Beibei Li, Sichuan University. All Rights Reserved.