Man-Chung Yue

Assistant Professor
Musketeers Foundation Institute of Data Science
Department of Industrial and Manufacturing Systems Engineering
The University of Hong Kong

Room 8-4 Haking Wong Building
The University of Hong Kong
Pokfulam Road
Hong Kong
Email: mcyue [at] hku [dot] hk

Mathematics, rightly viewed, possesses not only truth, but supreme beauty.
Bertrand Russell


About Me

I am 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. Before the current position, I had worked as an Assistant Professor in the Department of Applied Mathematics at The Hong Kong Polytechnic University and as a Research Associate in the group of Wolfram Wiesemann at Imperial College London. I received my Ph.D. in Systems Engineering and Engineering Management under the supervision of Anthony Man-Cho So and B.Sc. in Mathematics, both from The Chinese University of Hong Kong.

My research focuses on continuous optimization and its interplay with machine learning, operations research, data science and signal processing.

Publications

Preprints

  1. Andy Yat-Ming Cheung, Jinxin Wang, Man-Chung Yue, Anthony Man-Cho So. Randomized submanifold subgradient method for optimization over Stiefel manifolds. 2024.
  2. Man-Chung Yue, Yves Rychener, Daniel Kuhn, Viet Anh Nguyen. A geometric unification of distributionally robust covariance estimators: Shrinking the spectrum by inflating the ambiguity set. 2024.
  3. Ming Lei, Ting Kei Pong, Shuqin Sun, Man-Chung Yue. Subdifferentially polynomially bounded functions and Gaussian smoothing-based zeroth-order optimization. 2024.
  4. Kai Tu, Zhi Chen, Man-Chung Yue. A max-min-max algorithm for large-scale robust optimization. 2024.
  5. Huikang Liu, Wolfram Wiesemann, Man-Chung Yue. An MILP-Based solution scheme for factored and robust factored Markov decision processes. 2024.
  6. Ngoc Bui, Duy Nguyen, Man-Chung Yue, Viet Anh Nguyen. Coverage-validity-aware algorithmic recourse. 2023.
  7. Man-Chung Yue. A matrix generalization of the Hardy-Littlewood-Pólya rearrangement inequality and its applications. 2020.

Journal Articles

  1. Zhichun Yang, Fu-quan Xia, Kai Tu, Man-Chung Yue. Variance reduced random relaxed projection method for constrained finite-sum minimization problems. IEEE Transactions on Signal Processing (2024) 72:2188-2203.
  2. Wouter Jongeneel, Man-Chung Yue, Daniel Kuhn. Small errors in random zeroth-order optimization are imaginary. SIAM Journal on Optimization (2024) 34(3):2638-2670.
  3. Manru Zong, Yin Tat Lee, Man-Chung Yue. Short-step methods are not strongly polynomial-time. Mathematical Programming (2024) 207(1-2):733-746.
  4. Huikang Liu, Man-Chung Yue, Anthony Man-Cho So. A unified approach to synchronization problems over subgroups of the orthogonal group. Applied and Computational Harmonic Analysis (2023) 66:320-372.
  5. Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann. On linear optimization over Wasserstein balls. Mathematical Programming (2022) 195(1-2):1107-1122.
  6. Rujun Jiang, Man-Chung Yue, Zhishuo Zhou. An accelerated first-order method with complexity analysis for solving cubic regularization subproblems. Computational Optimization and Applications (2021) 79(2):471-506.
  7. Yin Tat Lee, Man-Chung Yue. Universal barrier is n-self-concordant. Mathematics of Operations Research (2021) 46(3):1129-1148.
  8. 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) 29(1):904-932.
  9. 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) 174(1-2):327-358.
  10. Sherry Xue-Ying Ni, Man-Chung Yue, Kam-Fung Cheung, Anthony Man-Cho So. Phase retrieval via sensor network localization. Journal of the Operations Research Society of China (2019) 7(1):127-146.
  11. 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) 27(4):2426-2446.
  12. Man-Chung Yue, Sissi Xiaoxiao Wu, Anthony Man-Cho So. A robust design for MISO physical-layer multicasting over line-of-sight channels. IEEE Signal Processing Letters (2016) 23(7):939 - 943.
  13. 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) 40(2):396-416.

Conference Proceedings

  1. Yihang Gao, Man-Chung Yue, Michael Kwok-Po Ng. Approximate secular equations for the cubic regularization subproblem. Proceedings of Advances in Neural Information Processing Systems 36 (NeurIPS 2022), 2022.
  2. Tuan-Duy H. Nguyen, Ngoc Bui, Duy Nguyen, Man-Chung Yue, Viet Anh Nguyen. Robust Bayesian recourse. Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022), 2022.
  3. Hieu Vu, Toan Tran, Man-Chung Yue, Viet Anh Nguyen. Distributionally robust fair principal components via geodesic descents. Proceedings of the 10th International Conference on Learning Representations (ICLR 2022), 2022.
  4. Bahar Taskesen, Man-Chung Yue, José Blanchet, Daniel Kuhn, Viet Anh Nguyen. Sequential domain adaptation by synthesizing distributionally robust experts. Proceedings of the 38th International Conference on Machine Learning (ICML 2021), pp. 10162-10172, 2021.
  5. Ho-Cheung Ng, Shuanglong Liu, Izaak Coleman, Ringo Sai Wo Chu, Man-Chung Yue, Wayne Luk. Acceleration of short read alignment with runtime reconfiguration. Proceedings of the 2020 International Conference on Field-Programmable Technology (ICFPT 2020), pp. 256-262, 2020.
  6. Zengde Deng, Man-Chung Yue, Anthony Man-Cho So. An efficient augmented Lagrangian-based method for linear equality-constrained Lasso. Proceedings of the 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), pp. 5760-5764, 2020.
  7. Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann. Optimistic distributionally robust optimization for nonparametric likelihood approximation. Proceedings of Advances in Neural Information Processing Systems 33 (NeurIPS 2019), pp. 15872-15882, 2019.
  8. Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann. Calculating optimistic likelihoods using (geodesically) convex optimization. Proceedings of Advances in Neural Information Processing Systems 33 (NeurIPS 2019), pp. 13942-13953, 2019.
  9. Huikang Liu, Man-Chung Yue, Anthony Man-Cho So, Wing-Kin Ma. A discrete first-order method for large-scale MIMO detection with provable guarantees. Proceedings of the 18th IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2017), pp. 669-673, 2017.
  10. Sissi Xiaoxiao Wu, Man-Chung Yue, Wing-Kin Ma, Anthony Man-Cho So. SDR approximation bounds for the robust multicast beamforming problem with interference temperature constraints. Proceedings of the 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), pp. 4054-4058, 2017.