A Perturbation Inequality for the Schatten-$p$ Quasi-Norm and Its Applications to Low-Rank Matrix Recovery - Man-Chung Yue; Anthony Man-Cho So (CoRR, 2012)

A Robust Design for MISO Physical-Layer Multicasting Over Line-of-Sight Channels. - Man-Chung Yue; Sissi Xiaoxiao Wu; Anthony Man-Cho So (IEEE Signal Process. Lett., 2016)

SDR approximation bounds for the robust multicast beamforming problem with interference temperature constraints. - Sissi Xiaoxiao Wu; Man-Chung Yue; Anthony Man-Cho So; Wing-Kin Ma (ICASSP, 2017)

A discrete first-order method for large-scale MIMO detection with provable guarantees. - Huikang Liu; Man-Chung Yue; Anthony Man-Cho So; Wing-Kin Ma (SPAWC, 2017)

On the Estimation Performance and Convergence Rate of the Generalized Power Method for Phase Synchronization. - Huikang Liu; Man-Chung Yue; Anthony Man-Cho So (SIAM J. Optim., 2017)

Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization. - Viet Anh Nguyen; Soroosh Shafieezadeh-Abadeh; Man-Chung Yue; Daniel Kuhn 001; Wolfram Wiesemann (NeurIPS, 2019)

Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation. - Viet Anh Nguyen; Soroosh Shafieezadeh-Abadeh; Man-Chung Yue; Daniel Kuhn 001; Wolfram Wiesemann (NeurIPS, 2019)

A family of inexact SQA methods for non-smooth convex minimization with provable convergence guarantees based on the Luo-Tseng error bound property. - Man-Chung Yue; Zirui Zhou; Anthony Man-Cho So (Math. Program., 2019)

On the Quadratic Convergence of the Cubic Regularization Method under a Local Error Bound Condition. - Man-Chung Yue; Zirui Zhou; Anthony Man-Cho So (SIAM J. Optim., 2019)

An Efficient Augmented Lagrangian-Based Method for Linear Equality-Constrained Lasso. - Zengde Deng; Man-Chung Yue; Anthony Man-Cho So (ICASSP, 2020)

Acceleration of Short Read Alignment with Runtime Reconfiguration. - Ho-Cheung Ng; Shuanglong Liu; Izaak Coleman; Ringo S. W. Chu; Man-Chung Yue; Wayne Luk (FPT, 2020)

A Unified Approach to Synchronization Problems over Subgroups of the Orthogonal Group. - Huikang Liu; Man-Chung Yue; Anthony Man-Cho So (CoRR, 2020)

Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts. - Bahar Taskesen; Man-Chung Yue; Jose H. Blanchet; Daniel Kuhn 001; Viet Anh Nguyen (ICML, 2021)

An accelerated first-order method with complexity analysis for solving cubic regularization subproblems. - Rujun Jiang; Man-Chung Yue; Zhishuo Zhou (Comput. Optim. Appl., 2021)

Universal Barrier Is n-Self-Concordant. - Yin Tat Lee; Man-Chung Yue (Math. Oper. Res., 2021)

Distributionally Robust Fair Principal Components via Geodesic Descents. - Hieu Vu; Toan Tran; Man-Chung Yue; Viet Anh Nguyen (ICLR, 2022)

Approximate Secular Equations for the Cubic Regularization Subproblem. - Yihang Gao; Man-Chung Yue; Michael Ng 001 (NeurIPS, 2022)

Robust Bayesian recourse. - Tuan-Duy H. Nguyen; Ngoc Bui; Duy Nguyen; Man-Chung Yue; Viet Anh Nguyen (UAI, 2022)

On linear optimization over Wasserstein balls. - Man-Chung Yue; Daniel Kuhn 001; Wolfram Wiesemann (Math. Program., 2022)

Coverage-Validity-Aware Algorithmic Recourse. - Ngoc Bui; Duy Nguyen; Man-Chung Yue; Viet Anh Nguyen (CoRR, 2023)

A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set. - Man-Chung Yue; Yves Rychener; Daniel Kuhn 001; Viet Anh Nguyen (CoRR, 2024)

Small Errors in Random Zeroth-Order Optimization Are Imaginary. - Wouter Jongeneel; Man-Chung Yue; Daniel Kuhn 001 (SIAM J. Optim., 2024)

Variance Reduced Random Relaxed Projection Method for Constrained Finite-Sum Minimization Problems. - Zhichun Yang; Fu-quan Xia; Kai Tu; Man-Chung Yue (IEEE Trans. Signal Process., 2024)

Short-step methods are not strongly polynomial-time. - Manru Zong; Yin Tat Lee; Man-Chung Yue (Math. Program., 2024)

Subdifferentially Polynomially Bounded Functions and Gaussian Smoothing-Based Zeroth-Order Optimization. - Ming Lei; Ting Kei Pong; Shuqin Sun; Man-Chung Yue (SIAM J. Optim., 2025)

Pseudo-Asynchronous Local SGD: Robust and Efficient Data-Parallel Training. - Hiroki Naganuma; Xinzhi Zhang 002; Man-Chung Yue; Ioannis Mitliagkas; Philipp A. Witte; Russell J. Hewett; Yin Tat Lee (CoRR, 2025)