Chee Wei Tan

Curriculum Vitae Email: cheewtan [at] cityu.edu.hk Office: Academic Bldg 1, G7307, Tel: (852) 3442 7652

• Dr. Tan is an Associate Professor of Computer Science. He received the M.A and Ph.D. degrees from Princeton University. He was a Senior Fellow of the Institute for Pure and Applied Mathematics (IPAM) for the program on Science at Extreme Scales, and was a Postdoctoral Scholar in the NetLab Group at Caltech. His industrial experience includes consulting for Tencent AI Lab, Qualcomm R&D (QRC), Fraser Research Lab. His research interests are networks, distributed machine learning, cloud computing and AI. His Erdös number is 3.
  Three different three-hop paths:
  C. W. Tan → A. R. Calderbank → J. H. Spencer → Paul Erdös
  C. W. Tan → S. Friedland → H. Minc → Paul Erdös
  C. W. Tan → H.-L. Fu → C. J. Colbourn → Paul Erdös

  The Erdös number is an example of a social network, and Dr. Tan's current research on network science explores the mathematics and algorithms of web analytics and artificial intelligence.
  
  Dr. Tan has served in TPC of ACM SIGMETRICS, ACM MobiHoc, International Joint Conference on Artificial Intelligence (IJCAI) and as Editor for the IEEE/ACM Transactions on Networking and IEEE Communications Surveys and Tutorials. He received the Princeton University Wu Prize for Excellence, Google Faculty Award, university teaching awards, and was selected twice for the U.S. National Academy of Engineering China-America Frontiers of Engineering Symposium. His research was featured in Hong Kong Research Grants Council's Research Frontiers. He has previously served as the Editor of the IEEE Transactions on Communications and as the IEEE Information Theory Society Hong Kong Chapter Chairman receiving the 2015 IT Society Chapter of the Year award.

Recent Publication

• Z. Fei, Y. Ryeznik, O. Sverdlov, C. W. Tan and W. K. Wong, An Overview of Healthcare Data Analytics with Applications to the COVID-19 Pandemic, IEEE Transactions on Big Data, 2021.
• 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 AITIP Software-as-a-Service
• L. Ling, C. W. Tan, S. Ho and R. W. Yeung, Scalable Automated Proving of Information Theoretic Inequalities with Proximal Algorithms, ISIT 2019
• L. Ling and C. W. Tan, Human-assisted Computation for Auto-grading ICDM Workshop on Machine Learning for Education 2018
• P.-D. Yu, C. W. Tan and H.-L. Fu, Averting Cascading Failures in Networked Infrastructures: Poset-constrained Graph Algorithms, IEEE Journal of Selected Topics in Signal Processing, Vol. 12, No. 4, pp. 733-748, 2018.
• C. Kuo, C. N. Hang, P.-D. Yu and C. W. Tan, Parallel Counting of Triangles in Large Graphs: Pruning and Hierarchical Clustering Algorithms, IEEE High Performance Extreme Computing (HPEC) MIT-Amazon Graph Challenge, 2018 (Honorable Mention).
• L. Zheng, C. Joe-Wong, C. W. Tan, M. Chiang and X. Wang, How to Bid the Cloud?, ACM SIGCOMM 2015.
• Z. Wang, W. Dong, W. Zhang and C. W. Tan, Rooting out Rumor Sources in Online Social Networks: The Value of Diversity from Multiple Observations, IEEE Journal of Selected Topics in Signal Processing, Vol. 9, No. 4, pp. 663-677, 2015. A conference version at ACM SIGMETRICS 2014.
• C. W. Tan, Wireless Network Optimization by Perron-Frobenius Theory, Foundations and Trends in Networking, Now Publisher, 9(2-3), pp. 107-218, 2015.
• F. M. F. Wong, C. W. Tan, S. Sen and M. Chiang, Quantifying Political Leaning from Tweets, Retweets and Retweeters in IEEE Transactions on Knowledge and Data Engineering, 28(8), 2016. Conference version in International AAAI Conference on Weblogs and Social Media (ICWSM).
• C. W. Tan, S. Friedland and S. H. Low, Nonnegative Matrix Inequalities and Their Application to Nonconvex Power Control Optimization, SIAM Journal on Matrix Analysis and Applications, Vol. 32, No. 3, pp. 1030-1055, 2011. Related work in IEEE Journal on Selected Areas in Communications, 29(2), 2011.