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HKU-IDS Scholar

photo-man-chung-yue-2
Dr Man Chung YUE
Assistant Professor
HKU Musketeers Foundation Institute of Data Science and
Department of Industrial and Manufacturing Systems Engineering, HKU
mcyue@hku.hk  (852) 3917 7057
HW-804, Haking Wong Building, HKU
Department of Industrial and Manufacturing Systems Engineering
About Me

Dr. Man-Chung Yue is an Assistant Professor jointly affiliated with the Musketeers Foundation Institute of Data Science and the Department of Industrial and Manufacturing Systems Engineering at The University of Hong Kong. Prior to joining HKU, he was an Assistant Professor in the Department of Applied Mathematics at The Hong Kong Polytechnic University. From 2017 to 2019, he worked as a Research Associate at Imperial College London. He received his Ph.D. in Systems Engineering and Engineering Management in 2017 and B.Sc. in Mathematics in 2012, both from The Chinese University of Hong Kong. His research focuses on optimization, data science and decision-making under uncertainty.

Current Research Project

Decision Making under Uncertainty via (Distributionally) Robust Optimization and Specialized Algorithms


Selected Publications
  • Yihang Gao, Man-Chung Yue, Michael Ng. Approximate Secular Equations for the Cubic Regularization Subproblem. NeurIPS. (2022)
  • Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann. On Linear Optimization over Wasserstein Balls. Mathematical Programming. (2021)
  • Yin Tat Lee, Man-Chung Yue. Universal Barrier is n-Self-Concordant. Mathematics of Operations Research. (2021)
  • Bahar Taskesen, Man-Chung Yue, José Blanchet, Daniel Kuhn, Viet Anh Nguyen. Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts. ICML. (2021)
  • Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann. Optimistic Distributionally Robust Optimization for Nonparametric Likelihood. NeurIPS. (2019)
  • Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann. Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization. NeurIPS. (2019)
  • Man-Chung Yue, Zirui Zhou, Anthony Man-Cho So. On the Quadratic Convergence of the Cubic Regularization Method under a Local Error Bound Condition. SIAM Journal on Optimization. (2019)
  • Man-Chung Yue, Zirui Zhou, Anthony Man-Cho So. A Family of Inexact SQA Methods for Non-Smooth Convex Minimization with Provable Convergence Guarantees Based on the Luo-Tseng Error Bound Property. Mathematical Programming. (2019)
  • Huikang Liu, Man-Chung Yue, Anthony Man-Cho So. On the Estimation Performance and Convergence Rate of the Generalized Power Method for Phase Synchronization. SIAM Journal on Optimization. (2017)
  • Man-Chung Yue, Anthony Man-Cho So. A Perturbation Inequality for Concave Functions of Singular Values and Its Applications in Low-Rank Matrix Recovery. Applied and Computational Harmonic Analysis. (2016)
 
Research Interests
Optimization; Data Science; Decision Making under Uncertainty; Operations Research