Chee Wei Tan's Homepage
Dr. Tan received the M.A and Ph.D. degrees in Electrical Engineering from Princeton University. He is currently with College of Computing and Data Science, Nanyang Technological University in Singapore. He was a postdoctoral scholar in the NetLab Group at Caltech, a senior fellow for Science at Extreme Scales program at the Institute for Pure and Applied Mathematics at UCLA, and was a visiting faculty at Tencent AI Lab and Qualcomm R&D (QRC). His research interests are distributed optimization, Generative AI, networks and edge learning. His Erdös number is 3.
Dr. Tan is serving or has served as the Editor for IEEE Transactions on Cognitive Communications and Networking, IEEE/ACM Transactions on Networking and IEEE Transactions on Communications, BMC Archives of Public Health, IEEE Transactions on Computational Social Systems Special Issue on AI-Driven Technologies in Social Fintech and TPCs of IEEE INFOCOM, ACM SIGMETRICS, ACM MobiHoc, ACM Learning at Scale, IJCAI. He is also serving as the Publication Chair of the 2025 IEEE Conference on Artificial Intelligence (CAI) and the Symposium Co-Chair of 2025 IEEE Globecom Symposium on AI-Enabled Networks. He received an Honorable Mention award (Foundation Models and Generative AI Category) at the 2024 IEEE Conference on Artificial Intelligence, the Princeton University Wu Prize for Excellence, Google Faculty Award, several teaching awards including the Teaching Excellence Award at City University of Hong Kong, and was selected twice for the U.S. National Academy of Engineering China-America Frontiers of Engineering Symposium.
Recent Publication
M. F Wong and C. W. Tan, Aligning Crowd-sourced Human Feedback for Code Generation with Bayesian Inference, IEEE Conference on Artificial Intelligence, 2023 (Honorable Mention Award in Foundation Models and Generative AI).
C. W. Tan, S. Guo, M. F. Wong, Y. Chen: Copilot for Xcode: Exploring AI-Assisted Programming by Prompting Cloud-based Large Language Models, arXiv, 2023. Open Source Code
Md. T. R. Laskar, S. Alqahtani, M. S. Bari, M. Rahman, Md. A. M. Khan, H. Khan, I. Jahan, A. Bhuiyan, C. W. Tan, Md. R. Parvez, E. Hoque, S. Joty, J. X. Huang: A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations, The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
Y. Jiang, J. Shen, Z. Liu, C. W. Tan, K.-Y. Lam, Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning, IEEE Transactions on Information Forensics & Security, 2024.
C. W. Tan and P.-D. Yu: Contagion Source Detection in Epidemic and Infodemic Outbreaks: Mathematical Analysis and Network Algorithms, Foundations and Trends in Networking, Vol. 13, No. 2-3, pp. 107-251, 2023. Open-source Code
S. Ho, L. Ling, C. W. Tan and R. W. Yeung, Proving and Disproving Information Inequalities: Theory and Scalable Algorithms, IEEE Transactions on Information Theory, Vol. 66, No. 9, pp. 5522-5536, 2020. Open-source Code
L. Zheng, C. Joe-Wong, C. W. Tan, M. Chiang and X. Wang, How to Bid the Cloud?, ACM SIGCOMM 2015. Open-source Code
C. W. Tan, Wireless Network Optimization by Perron-Frobenius Theory, Foundations and Trends in Networking, Now Publisher, 9(2-3), pp. 107-218, 2015. Open-source Code