Zhipeng Cai
Professor Computer Science, Neuroscience- Education
B.S., Computer Science, Beijing Institute of Technology, 2001
M.S., Computing Science, University of Alberta, 2004
Ph.D., Computing Science, University of Alberta, 2008
- Specializations
Machine learning, privacy and security, large language models, big data
- Biography
Dr. Zhipeng Cai is a Fellow of the IEEE, an ACM Distinguished Member, and the recipient of an NSF CAREER Award. He is currently a Professor in the Department of Computer Science at Georgia State University, an Affiliate Professor in the Department of Computer Information Systems at the Robinson College of Business, and the Director of the INSPIRE Center. Dr. Cai also leads the Innovative Computing and Networking (ICN) group. Dr. Cai’s research expertise lies in Machine Learning, Privacy and Security, Large Language Models, and Big Data. His research has received funding from multiple academic and industrial sponsors, including the National Science Foundation and the U.S. Department of State, and has resulted in over 100 publications in top journals and conferences, with more than 18,000 citations, including over 100 IEEE/ACM Transactions papers. He is listed as one of The World’s Top 2% Scientists (2020–2024), published by Stanford University. Additionally, ScholarGPS ranks him in the top 0.05% of all scholars globally, acknowledging his significant scholarly contributions.
Dr. Cai holds the esteemed position of Editor-in-Chief for Elsevier High-Confidence Computing Journal. He also serves as an editor for several prestigious journals, including IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Vehicular Technology (TVT), IEEE Transactions on Wireless Communications (TWC), and IEEE Transactions on Computational Social Systems (TCSS). Moreover, Dr. Cai serves as a Steering Committee Co-Chair for WASA and is a Steering Committee member for COCOON (CCF B), IPCCC (CCF C), and ISBRA (CCF C). He has also chaired numerous international conferences, including ICDCS, SocialCom, and ISBRA. Dr. Cai has supervised over 24 Ph.D. students, 15 of whom are now tenure-track faculty members in U.S. institutions. Dr. Cai is deeply committed to computer security education and is a core member of Eureka Labs, a platform offering inquiry-based, hands-on lab activities that explore key cybersecurity concepts. This platform provides free, high-quality security education materials to both learners and educators. Since 2020, the 32 labs available on the platform received over 75,200 views and downloads from 112 countries, averaging 2,350 views or downloads per lab.
- Publications
Zhipeng Cai, Zuobin Xiong, Honghui Xu, Peng Wang, Wei Li, and Yi Pan. Generative Adversarial Networks: A Survey Towards Private and Secure Applications. ACM Computing Surveys (CSUR). 54(6): 132:1–132:38 (2022).
Zuobin Xiong, Wei Li, Yingshu Li, and Zhipeng Cai. Distributed Generative Model: A Data Synthesizing Framework for Multi-Source Heterogeneous Data. IEEE Transactions on Artificial Intelligence (TAI). Accepted.
Zuobin Xiong, Zhipeng Cai, Chunqiang Hu, Daniel Takabi, and Wei Li. Towards Neural Network-based Communication System: Attack and Defense. IEEE Transactions on Dependable and Secure Computing (TDSC). 20(4): 3238–3250 (2023).
Zhipeng Cai, Zaobo He, Xin Guan and Yingshu Li. Collective Data-Sanitization for Preventing Sensitive Information Inference Attacks in Social Networks. IEEE Transactions on Dependable and Secure Computing (TDSC). 15(4): 577–590 (2018).
Zhipeng Cai, Zhuojun Duan, and Wei Li. Exploiting Multi-Dimensional Task Diversity in Distributed Auctions for Mobile Crowdsensing. IEEE Transactions on Mobile Computing (TMC). Accepted.
Zhipeng Cai and Xu Zheng. A Private and Efficient Mechanism for Data Uploading in Smart Cyber-Physical Systems. IEEE Transactions on Network Science and Engineering (TNSE). 7(2): 766–775 (2020).
Zhipeng Cai and Tuo Shi. Distributed Query Processing in the Edge Assisted IoT Data Monitoring System. IEEE Internet of Things Journal. Accepted.
Xu Zheng and Zhipeng Cai. Privacy-Preserved Data Sharing Towards Multiple Parties in Industrial IoTs. IEEE Journal on Selected Areas in Communications (JSAC). 38(5): 968–979 (2020).
Zhipeng Cai, Dongjing Miao, and Yingshu Li. Deletion Propagation for Multiple Select-Join Queries: Approximations and Complexity. 35th IEEE International Conference on Data Engineering (ICDE 2019).
Zhipeng Cai and Zaobo He. Trading Private Range Counting over Big IoT Data. 39th IEEE International Conference on Distributed Computing Systems (ICDCS 2019).