Prof. SO, Man Cho, Anthony 蘇 文 藻 教授
Professor
BSE (Princeton University)
MSc, PhD (Stanford University)
Research Interests :
* Algorithm Design
* Data Analytics
* Optimization
Office: Room 604, William M.W. Mong Engineering Building
Tel: (852) 3943-8477
Email: manchoso@se.cuhk.edu.hk
Biography
Anthony Man-Cho So received his BSE degree in Computer Science from Princeton University with minors in Applied and Computational Mathematics, Engineering and Management Systems, and German Language and Culture. He then received his MSc degree in Computer Science and his PhD degree in Computer Science with a PhD minor in Mathematics from Stanford University. Dr. So joined The Chinese University of Hong Kong (CUHK) in 2007. He is currently Dean of the Graduate School, Deputy Master of Morningside College, and Professor in the Department of Systems Engineering and Engineering Management. His research focuses on optimization theory and its applications in various areas of science and engineering, including computational geometry, machine learning, signal processing, and statistics.
Dr. So has been a Fellow of IEEE since 2023 and an Outstanding Fellow of the Faculty of Engineering at CUHK since 2019. He currently serves on the editorial boards of Journal of Global Optimization, Mathematical Programming, Mathematics of Operations Research, Open Journal of Mathematical Optimization, Optimization Methods and Software, and SIAM Journal on Optimization. He has also served as the Lead Guest Editor of IEEE Signal Processing Magazine Special Issue on Non-Convex Optimization for Signal Processing and Machine Learning. Dr. So has received a number of research and teaching awards, including the 2018 IEEE Signal Processing Society Best Paper Award, the 2016-17 CUHK Research Excellence Award, the 2015 IEEE Signal Processing Society Signal Processing Magazine Best Paper Award, the 2014 IEEE Communications Society Asia-Pacific Outstanding Paper Award, the 2010 INFORMS Optimization Society Optimization Prize for Young Researchers, and the 2010 CUHK Young Researcher Award, as well as the 2022 University Grants Committee (UGC) Teaching Award (General Faculty Members Category), the 2022 University Education Award, the 2013 CUHK Vice-Chancellor’s Exemplary Teaching Award, the 2011, 2013, 2015 CUHK Faculty of Engineering Dean’s Exemplary Teaching Award, and the 2008 CUHK Faculty of Engineering Exemplary Teaching Award. He also co-authored with his student a paper that receives the Best Student Paper Award at the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2018).
Selected Publications
H. Liu, M.-C. Yue, A. M.-C. So. A Unified Approach to Synchronization Problems over Subgroups of the Orthogonal Group. Applied and Computational Harmonic Analysis 66: 320-372, 2023.
P. Wang, Z. Zhou, A. M.-C. So. Non-Convex Exact Community Recovery in Stochastic Block Model. Mathematical Programming, Series A 195(1-2): 793-829, 2022.
R. Wu, W.-K. Ma, Y. Li, A. M.-C. So, N. D. Sidiropoulos. Probabilistic Simplex Component Analysis. IEEE Transactions on Signal Processing 70: 582-599, 2022.
X. Li, S. Chen, Z. Deng, Q. Qu, Z. Zhu, A. M.-C. So. Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods. SIAM Journal on Optimization 31(3): 1605-1634, 2021.
J. Li, A. M.-C. So, W.-K. Ma. Understanding Notions of Stationarity in Non-Smooth Optimization. IEEE Signal Processing Magazine 37(5): 18-31, 2020.
X. Li, Z. Zhu, A. M.-C. So, R. Vidal, “Nonconvex Robust Low-Rank Matrix Recovery”, SIAM Journal on Optimization 30(1): 660-686, 2020.
S. Chen, S. Ma, A. M.-C. So, T. Zhang, “Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold”, SIAM Journal on Optimization 30(1): 210-239, 2020.
M.-C. Yue, Z. Zhou, A. M.-C. So, “On the Quadratic Convergence of the Cubic Regularization Method under a Local Error Bound Condition”, SIAM Journal on Optimization 29(1): 904-932, 2019.
H. Liu, A. M.-C. So, W. Wu, “Quadratic Optimization with Orthogonality Constraint: Explicit Łojasiewicz Exponent and Linear Convergence of Retraction-Based Line-Search and Stochastic Variance-Reduced Gradient Methods”, Mathematical Programming, Series A, 178(1-2): 215-262, 2019.
Z. Zhou, A. M.-C. So, “A Unified Approach to Error Bounds for Structured Convex Optimization Problems”, Mathematical Programming, Series A, 165(2): 689-728, 2017.
K.-Y. Wang, A. M.-C. So, T.-H. Chang, W.-K. Ma, C.-Y. Chi, “Outage Constrained Robust Transmit Optimization for Multiuser MISO Downlinks: Tractable Approximations by Conic Optimization”, IEEE Transactions on Signal Processing 62(21): 5690-5705, 2014.
S. X. Wu, W.-K. Ma, A. M.-C. So, “Physical-Layer Multicasting by Stochastic Transmit Beamforming and Alamouti Space-Time Coding”, IEEE Transactions on Signal Processing 61(17): 4230-4245, 2013.
A. M.-C. So, “Deterministic Approximation Algorithms for Sphere Constrained Homogeneous Polynomial Optimization Problems”, Mathematical Programming, Series B, 129(2): 357-382, 2011.
A. M.-C. So, “Moment Inequalities for Sums of Random Matrices and Their Applications in Optimization”, Mathematical Programming, Series A, 130(1): 125-151, 2011.
Y. J. Zhang, A. M.-C. So, “Optimal Spectrum Sharing in MIMO Cognitive Radio Networks via Semidefinite Programming”, IEEE Journal on Selected Areas in Communications 29(2): 362-373, 2011.
Z.-Q. Luo, W.-K. Ma, A. M.-C. So, Y. Ye, S. Zhang, “Semidefinite Relaxation of Quadratic Optimization Problems”, IEEE Signal Processing Magazine 27(3): 20-34, 2010.
A. M.-C. So, Y. Ye, “Theory of Semidefinite Programming for Sensor Network Localization”, Mathematical Programming, Series B, 109: 367-384, 2007.