Supporting group communication among interacting agents in wireless sensor networks. - Jaewon Shin; Anthony Man-Cho So; Leonidas J. Guibas (WCNC, 2005)

On Solving Coverage Problems in a Wireless Sensor Network Using Voronoi Diagrams. - Anthony Man-Cho So; Yinyu Ye 001 (WINE, 2005)

A semidefinite programming approach to tensegrity theory and realizability of graphs. - Anthony Man-Cho So; Yinyu Ye 001 (SODA, 2006)

Stochastic Mechanism Design. - Samuel Ieong; Anthony Man-Cho So; Mukund Sundararajan (WINE, 2007)

Pari-Mutuel Markets: Mechanisms and Performance. - Mark Peters; Anthony Man-Cho So; Yinyu Ye 001 (WINE, 2007)

Theory of semidefinite programming for Sensor Network Localization. - Anthony Man-Cho So; Yinyu Ye 001 (Math. Program., 2007)

On approximating complex quadratic optimization problems via semidefinite programming relaxations. - Anthony Man-Cho So; Jiawei Zhang 006; Yinyu Ye 001 (Math. Program., 2007)

Mechanism design for stochastic optimization problems. - Samuel Ieong; Mukund Sundararajan; Anthony Man-Cho So (SIGecom Exch., 2007)

A semidefinite programming approach to the graph realization problem : theory, applications and extensions. - Anthony Man-Cho So (2007)

On Analyzing Semidefinite Programming Relaxations of Complex Quadratic Optimization Problems. - Jiawei Zhang 006; Yinyu Ye 001; Anthony Man-Cho So (Handbook of Approximation Algorithms and Metaheuristics, 2007)

Greedy Algorithms for Metric Facility Location Problems. - Jiawei Zhang 006; Yinyu Ye 001; Anthony Man-Cho So (Handbook of Approximation Algorithms and Metaheuristics, 2007)

A Unified Theorem on SDP Rank Reduction. - Anthony Man-Cho So; Yinyu Ye 001; Jiawei Zhang 006 (Math. Oper. Res., 2008)

On the performance of semidefinite relaxation MIMO detectors for QAM constellations. - Anthony Man-Cho So (ICASSP, 2009)

Fast Graph Laplacian Regularized Kernel Learning via Semidefinite-Quadratic-Linear Programming. - Xiao-Ming Wu 003; Anthony Man-Cho So; Zhenguo Li; Shuo-Yen Robert Li (NIPS, 2009)

Improved approximation bound for quadratic optimization problems with orthogonality constraints. - Anthony Man-Cho So (SODA, 2009)

Fast and Near-Optimal Matrix Completion via Randomized Basis Pursuit - Zhisu Zhu; Anthony Man-Cho So; Yinyu Ye 001 (CoRR, 2009)

Stochastic Combinatorial Optimization with Controllable Risk Aversion Level. - Anthony Man-Cho So; Jiawei Zhang 006; Yinyu Ye 001 (Math. Oper. Res., 2009)

Graph Realization via Semidefinite Programming. - Anthony Man-Cho So; Yinyu Ye 001 (Encyclopedia of Optimization, 2009)

Probabilistic analysis of SDR detectors for MIMO systems. - Anthony Man-Cho So; Yinyu Ye 001 (Convex Optimization in Signal Processing and Communications, 2010)

Universal Rigidity: Towards Accurate and Efficient Localization of Wireless Networks. - Zhisu Zhu; Anthony Man-Cho So; Yinyu Ye 001 (INFOCOM, 2010)

Probabilistic Analysis of the Semidefinite Relaxation Detector in Digital Communications. - Anthony Man-Cho So (SODA, 2010)

Universal Rigidity and Edge Sparsification for Sensor Network Localization. - Zhisu Zhu; Anthony Man-Cho So; Yinyu Ye 001 (SIAM J. Optim., 2010)

Semidefinite Relaxation of Quadratic Optimization Problems. - Zhi-Quan Luo; Wing-Kin Ma; Anthony Man-Cho So; Yinyu Ye 001; Shuzhong Zhang (IEEE Signal Process. Mag., 2010)

Slow adaptive OFDMA systems through chance constrained programming. - William Weiliang Li; Ying Jun Zhang; Anthony Man-Cho So; Moe Z. Win (IEEE Trans. Signal Process., 2010)

Safe convex approximation to outage-based MISO secrecy rate optimization under imperfect CSI and with artificial noise. - Qiang Li 017; Wing-Kin Ma; Anthony Man-Cho So (ACSCC, 2011)

Cheap semidefinite relaxation MIMO detection using row-by-row block coordinate descent. - Hoi-To Wai; Wing-Kin Ma; Anthony Man-Cho So (ICASSP, 2011)

Probabilistic SINR constrained robust transmit beamforming: A Bernstein-type inequality based conservative approach. - Kun-Yu Wang; Tsung-Hui Chang; Wing-Kin Ma; Anthony Man-Cho So; Chong-Yung Chi (ICASSP, 2011)

Optimal Spectrum Sharing in MIMO Cognitive Radio Networks via Semidefinite Programming. - Ying Jun Zhang; Anthony Man-Cho So (IEEE J. Sel. Areas Commun., 2011)

Deterministic approximation algorithms for sphere constrained homogeneous polynomial optimization problems. - Anthony Man-Cho So (Math. Program., 2011)

Moment inequalities for sums of random matrices and their applications in optimization. - Anthony Man-Cho So (Math. Program., 2011)

Rank-two transmit beamformed Alamouti space-time coding for physical-layer multicasting. - Xiaoxiao Wu; Anthony Man-Cho So; Wing-Kin Ma (ICASSP, 2012)

Learning with Partially Absorbing Random Walks. - Xiao-Ming Wu 003; Zhenguo Li; Anthony Man-Cho So; John Wright 001; Shih-Fu Chang (NIPS, 2012)

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)

Linear Matrix Inequalities with Stochastically Dependent Perturbations and Applications to Chance-Constrained Semidefinite Optimization. - Sin-Shuen Cheung; Anthony Man-Cho So; Kuncheng Wang (SIAM J. Optim., 2012)

Multi-group multicast beamforming in cognitive radio networks via rank-two transmit beamformed Alamouti space-time coding. - Senshan Ji; Sissi Xiaoxiao Wu; Anthony Man-Cho So; Wing-Kin Ma (ICASSP, 2013)

Beyond convex relaxation: A polynomial-time non-convex optimization approach to network localization. - Senshan Ji; Kam-Fung Sze; Zirui Zhou; Anthony Man-Cho So; Yinyu Ye 001 (INFOCOM, 2013)

On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization. - Ke Hou; Zirui Zhou; Anthony Man-Cho So; Zhi-Quan Luo (NIPS, 2013)

Non-Asymptotic Convergence Analysis of Inexact Gradient Methods for Machine Learning Without Strong Convexity. - Anthony Man-Cho So (CoRR, 2013)

Achievable Rate Derivations and Further Simulation Results for "Physical-Layer Multicasting by Stochastic Transmit Beamforming and Alamouti Space-Time Coding". - Xiaoxiao Wu; Wing-Kin Ma; Anthony Man-Cho So (CoRR, 2013)

Distributionally Robust Slow Adaptive OFDMA with Soft QoS via Linear Programming. - Anthony Man-Cho So; Ying Jun (Angela) Zhang (IEEE J. Sel. Areas Commun., 2013)

Physical-Layer Multicasting by Stochastic Transmit Beamforming and Alamouti Space-Time Coding. - Sissi Xiaoxiao Wu; Wing-Kin Ma; Anthony Man-Cho So (IEEE Trans. Signal Process., 2013)

Latent Aspect Mining via Exploring Sparsity and Intrinsic Information. - Yinqing Xu; Tianyi Lin; Wai Lam; Zirui Zhou; Hong Cheng 001; Anthony Man-Cho So (CIKM, 2014)

Robust artificial noise-aided transmit optimization for achieving secrecy and energy harvesting. - Qiang Li 017; Wing-Kin Ma; Anthony Man-Cho So (ICASSP, 2014)

Distributionally robust chance-constrained transmit beamforming for multiuser MISO downlink. - Qiang Li 017; Anthony Man-Cho So; Wing-Kin Ma (ICASSP, 2014)

Robust beamforming in two-way relay networks: Quartically perturbed chance constrained formulation and tractable approximation. - Shuai Ma; Anthony Man-Cho So; Kehu Yang (ICASSP, 2014)

Robust transmit designs for an energy harvesting multicast system. - Sissi Xiaoxiao Wu; Qiang Li 017; Wing-Kin Ma; Anthony Man-Cho So (ICASSP, 2014)

Hardness and Approximation Results for Lp-Ball Constrained Homogeneous Polynomial Optimization Problems. - Ke Hou; Anthony Man-Cho So (Math. Oper. Res., 2014)

A Safe Approximation Approach to Secrecy Outage Design for MIMO Wiretap Channels. - Qiang Li 017; Wing-Kin Ma; Anthony Man-Cho So (IEEE Signal Process. Lett., 2014)

Outage Constrained Robust Transmit Optimization for Multiuser MISO Downlinks: Tractable Approximations by Conic Optimization. - Kun-Yu Wang; Anthony Man-Cho So; Tsung-Hui Chang; Wing-Kin Ma; Chong-Yung Chi (IEEE Trans. Signal Process., 2014)

Kernelized Online Imbalanced Learning with Fixed Budgets. - Junjie Hu 001; Haiqin Yang; Irwin King; Michael R. Lyu; Anthony Man-Cho So (AAAI, 2015)

A beamformed alamouti amplify-and-forward scheme in multigroup multicast cloud-relay networks. - Sissi Xiaoxiao Wu; Anthony Man-Cho So; Wing-Kin Ma (ICASSP, 2015)

( ell_{1, p} )-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods. - Zirui Zhou; Qi Zhang; Anthony Man-Cho So (ICML, 2015)

Stochastic amplify-and-forward schemes for multigroup multicast transmission in a distributed relay network. - Sissi Xiaoxiao Wu; Qiang Li 017; Wing-Kin Ma; Anthony Man-Cho So (SPAWC, 2015)

Rank-Two Beamforming and Stochastic Beamforming for MISO Physical-Layer Multicasting with Finite-Alphabet Inputs. - Sissi Xiaoxiao Wu; Qiang Li 017; Anthony Man-Cho So; Wing-Kin Ma (IEEE Signal Process. Lett., 2015)

Robust Relay Beamforming in Device-to-Device Networks with Energy Harvesting Constraints. - Shimin Gong; Yanyan Shen; Xiaoxia Huang; Sissi Xiaoxiao Wu; Anthony Man-Cho So (GLOBECOM, 2016)

A polynomial optimization approach for robust beamforming design in a device-to-device two-hop one-way relay network. - Sissi Xiaoxiao Wu; Xueying Ni; Anthony Man-Cho So (ICASSP, 2016)

A semidefinite relaxation approach to the geolocation of two unknown co-channel emitters by a cluster of formation-flying satellites using both TDOA and FDOA measurements. - Kehu Yang; Lizhong Jiang; Anthony Man-Cho So (ICASSP, 2016)

Quadratic Optimization with Orthogonality Constraints: Explicit Lojasiewicz Exponent and Linear Convergence of Line-Search Methods. - Huikang Liu; Weijie Wu; Anthony Man-Cho So (ICML, 2016)

Distributionally Robust Relay Beamforming in Wireless Communications. - Shimin Gong; Sissi Xiaoxiao Wu; Anthony Man-Cho So; Xiaoxia Huang (MSWiM, 2016)

Another Look at Anonymous Communication - Security and Modular Constructions. - Russell W. F. Lai; Henry K. F. Cheung; Sherman S. M. Chow; Anthony Man-Cho So (Mycrypt, 2016)

Some Proof Derivations and Further Simulation Results for "Semidefinite Relaxation and Approximation Analysis of a Beamformed Alamouti Scheme for Relay Beamforming Networks". - Sissi Xiaoxiao Wu; Anthony Man-Cho So; Jiaxian Pan; Wing-Kin Ma (CoRR, 2016)

Low-Rank Semidefinite Programming: Theory and Applications. - Alex Lemon; Anthony Man-Cho So; Yinyu Ye 001 (Found. Trends Optim., 2016)

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)

Robust Convex Approximation Methods for TDOA-Based Localization Under NLOS Conditions. - Gang Wang 007; Anthony Man-Cho So; Youming Li (IEEE Trans. Signal Process., 2016)

A Stochastic Beamformed Amplify-and-Forward Scheme in a Multigroup Multicast MIMO Relay Network With Per-Antenna Power Constraints. - Sissi Xiaoxiao Wu; Qiang Li 017; Anthony Man-Cho So; Wing-Kin Ma (IEEE Trans. Wirel. Commun., 2016)

Local strong convexity of maximum-likelihood TDOA-Based source localization and its algorithmic implications. - Huikang Liu; Yuen-Man Pun; Anthony Man-Cho So (CAMSAP, 2017)

Scalable and flexible Max-Var generalized canonical correlation analysis via alternating optimization. - Xiao Fu 001; Kejun Huang; Mingyi Hong 001; Nicholas D. Sidiropoulos; Anthony Man-Cho So (ICASSP, 2017)

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)

LDPC code design for Gaussian multiple-access channels using dynamic EXIT chart analysis. - Naijun Zheng; Yuxuan He; Baoming Bai; Anthony Man-Cho So; Kehu Yang (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)

A unified approach to error bounds for structured convex optimization problems. - Zirui Zhou; Anthony Man-Cho So (Math. Program., 2017)

Non-asymptotic convergence analysis of inexact gradient methods for machine learning without strong convexity. - Anthony Man-Cho So; Zirui Zhou (Optim. Methods Softw., 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)

Scalable and Flexible Multiview MAX-VAR Canonical Correlation Analysis. - Xiao Fu 001; Kejun Huang; Mingyi Hong 001; Nicholas D. Sidiropoulos; Anthony Man-Cho So (IEEE Trans. Signal Process., 2017)

Unraveling the Rank-One Solution Mystery of Robust MISO Downlink Transmit Optimization: A Verifiable Sufficient Condition via a New Duality Result. - Wing-Kin Ma; Jiaxian Pan; Anthony Man-Cho So; Tsung-Hui Chang (IEEE Trans. Signal Process., 2017)

Semidefinite Relaxation and Approximation Analysis of a Beamformed Alamouti Scheme for Relay Beamforming Networks. - Sissi Xiaoxiao Wu; Anthony Man-Cho So; Jiaxian Pan; Wing-Kin Ma (IEEE Trans. Signal Process., 2017)

Distributionally Robust Collaborative Beamforming in D2D Relay Networks With Interference Constraints. - Shimin Gong; Sissi Xiaoxiao Wu; Anthony Man-Cho So; Xiaoxia Huang (IEEE Trans. Wirel. Commun., 2017)

Geolocation of Unknown Emitters Using Tdoa of Path Rays Through the Ionosphere by Multiple Coordinated Distant Receivers. - Ting Wang; Xueli Hong; Wen Liu; Anthony Man-Cho So; Kehu Yang (ICASSP, 2018)

LPA-SD: An Efficient First-Order Method for Single-Group Multicast Beamforming. - Rujun Jiang; Huikang Liu; Anthony Man-Cho So (SPAWC, 2018)

Mixed-Integer Semidefinite Relaxation of Joint Admission Control and Beamforming: An SOC-Based Outer Approximation Approach with Provable Guarantees. - Sherry Xueying Ni; Anthony Man-Cho So (SPAWC, 2018)

Minimum Symbol Error Rate-Based Constant Envelope Precoding for Multiuser Massive Miso Downlink. - Mingjie Shao; Qiang Li 017; Wing-Kin Ma; Anthony Man-Cho So (SSP, 2018)

Online Nonlinear AUC Maximization for Imbalanced Data Sets. - Junjie Hu 001; Haiqin Yang; Michael R. Lyu; Irwin King; Anthony Man-Cho So (IEEE Trans. Neural Networks Learn. Syst., 2018)

Fast First-order Methods for the Massive Robust Multicast Beamforming Problem with Interference Temperature Constraints. - Huikang Liu; Peng Wang 098; Anthony Man-Cho So (ICASSP, 2019)

Globally Convergent Accelerated Proximal Alternating Maximization Method for L1-Principal Component Analysis. - Peng Wang 098; Huikang Liu; Anthony Man-Cho So (ICASSP, 2019)

A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression. - Jiajin Li; Sen Huang; Anthony Man-Cho So (NeurIPS, 2019)

An Efficient Augmented Lagrangian Based Method for Constrained Lasso. - Zengde Deng; Anthony Man-Cho So (CoRR, 2019)

Voting-Based Multi-Agent Reinforcement Learning. - Yue Xu; Zengde Deng; Mengdi Wang; Wenjun Xu 001; Anthony Man-Cho So; Shuguang Cui (CoRR, 2019)

Incremental Methods for Weakly Convex Optimization. - Xiao Li 009; Zhihui Zhu; Anthony Man-Cho So; Jason D. Lee (CoRR, 2019)

A First-Order Algorithmic Framework for Wasserstein Distributionally Robust Logistic Regression. - Jiajin Li; Sen Huang; Anthony Man-Cho So (CoRR, 2019)

Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient Methods. - Xiao Li 009; Shixiang Chen; Zengde Deng; Qing Qu 001; Zhihui Zhu; Anthony Man-Cho So (CoRR, 2019)

Quadratic optimization with orthogonality constraint: explicit Łojasiewicz exponent and linear convergence of retraction-based line-search and stochastic variance-reduced gradient methods. - Huikang Liu; Anthony Man-Cho So; Weijie Wu (Math. Program., 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)

Another Look at Anonymous Communication. - Russell W. F. Lai; Kam-Fung Cheung; Sherman S. M. Chow; Anthony Man-Cho So (IEEE Trans. Dependable Secur. Comput., 2019)

A Framework for One-Bit and Constant-Envelope Precoding Over Multiuser Massive MISO Channels. - Mingjie Shao; Qiang Li 017; Wing-Kin Ma; Anthony Man-Cho So (IEEE Trans. Signal Process., 2019)

Dynamic Regret Bound for Moving Target Tracking Based on Online Time-of-Arrival Measurements. - Yuen-Man Pun; Anthony Man-Cho So (CDC, 2020)

A Newton Tracking Algorithm with Exact Linear Convergence Rate for Decentralized Consensus Optimization. - Jiaojiao Zhang; Qing Ling 001; Anthony Man-Cho So (CDC, 2020)

A Fast Proximal Point Algorithm for Generalized Graph Laplacian Learning. - Zengde Deng; Anthony Man-Cho So (ICASSP, 2020)

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

A Penalty Alternating Direction Method of Multipliers for Decentralized Composite Optimization. - Jiaojiao Zhang; Anthony Man-Cho So; Qing Ling 001 (ICASSP, 2020)

A Nearly-Linear Time Algorithm for Exact Community Recovery in Stochastic Block Model. - Peng Wang 098; Zirui Zhou; Anthony Man-Cho So (ICML, 2020)

Low-Cost Lipschitz-Independent Adaptive Importance Sampling of Stochastic Gradients. - Huikang Liu; Xiaolu Wang; Jiajin Li; Anthony Man-Cho So (ICPR, 2020)

Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine. - Jiajin Li; Caihua Chen; Anthony Man-Cho So (NeurIPS, 2020)

Boosting First-Order Methods by Shifting Objective: New Schemes with Faster Worst-Case Rates. - Kaiwen Zhou; Anthony Man-Cho So; James Cheng (NeurIPS, 2020)

Understanding Notions of Stationarity in Non-Smooth Optimization. - Jiajin Li; Anthony Man-Cho So; Wing-Kin Ma (CoRR, 2020)

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

An Integrated Approach of Machine Learning and Systems Thinking for Waiting Time Prediction in an Emergency Department. - Yong-Hong Kuo; Nicholas B. Chan; Janny M. Y. Leung; Helen Meng; Anthony Man-Cho So; Kelvin Kam-fai Tsoi; Colin A. Graham (Int. J. Medical Informatics, 2020)

Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold. - Shixiang Chen; Shiqian Ma; Anthony Man-Cho So; Tong Zhang 001 (SIAM J. Optim., 2020)

Nonconvex Robust Low-Rank Matrix Recovery. - Xiao Li 009; Zhihui Zhu; Anthony Man-Cho So; René Vidal (SIAM J. Optim., 2020)

A Provably Convergent Projected Gradient-Type Algorithm for TDOA-Based Geolocation Under the Quasi-Parabolic Ionosphere Model. - Sen Huang; Yuen-Man Pun; Anthony Man-Cho So; Kehu Yang (IEEE Signal Process. Lett., 2020)

Understanding Notions of Stationarity in Nonsmooth Optimization: A Guided Tour of Various Constructions of Subdifferential for Nonsmooth Functions. - Jiajin Li; Anthony Man-Cho So; Wing-Kin Ma (IEEE Signal Process. Mag., 2020)

Nonconvex Optimization for Signal Processing and Machine Learning [From the Guest Editors]. - Anthony Man-Cho So; Prateek Jain 002; Wing-Kin Ma; Gesualdo Scutari (IEEE Signal Process. Mag., 2020)

A Theoretical Analysis of the Repetition Problem in Text Generation. - Zihao Fu; Wai Lam; Anthony Man-Cho So; Bei Shi (AAAI, 2021)

Sparse High-Order Portfolios Via Proximal Dca And Sca. - Jinxin Wang; Zengde Deng; Taoli Zheng; Anthony Man-Cho So (ICASSP, 2021)

An Efficient Alternating Direction Method for Graph Learning from Smooth Signals. - Xiaolu Wang; Chaorui Yao; Haoyu Lei; Anthony Man-Cho So (ICASSP, 2021)

Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method. - Peng Wang 098; Huikang Liu; Zirui Zhou; Anthony Man-Cho So (ICML, 2021)

Quartic Perturbation-based Outage-constrained Robust Design in Two-hop One-way Relay Networks. - Sissi Xiaoxiao Wu; Sherry Xueying Ni; Jiaying Li 007; Anthony Man-Cho So (CoRR, 2021)

Learning Graphs from Smooth Signals under Moment Uncertainty. - Xiaolu Wang; Yuen-Man Pun; Anthony Man-Cho So (CoRR, 2021)

Accelerating Perturbed Stochastic Iterates in Asynchronous Lock-Free Optimization. - Kaiwen Zhou; Anthony Man-Cho So; James Cheng (CoRR, 2021)

Voting-Based Multiagent Reinforcement Learning for Intelligent IoT. - Yue Xu; Zengde Deng; Mengdi Wang; Wenjun Xu 001; Anthony Man-Cho So; Shuguang Cui (IEEE Internet Things J., 2021)

Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods. - Xiao Li 009; Shixiang Chen; Zengde Deng; Qing Qu 001; Zhihui Zhu; Anthony Man-Cho So (SIAM J. Optim., 2021)

A Newton Tracking Algorithm With Exact Linear Convergence for Decentralized Consensus Optimization. - Jiaojiao Zhang; Qing Ling 001; Anthony Man-Cho So (IEEE Trans. Signal Inf. Process. over Networks, 2021)

Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning. - Shixiang Chen; Zengde Deng; Shiqian Ma; Anthony Man-Cho So (IEEE Trans. Signal Process., 2021)

A Penalty Alternating Direction Method of Multipliers for Convex Composite Optimization Over Decentralized Networks. - Jiaojiao Zhang; Huikang Liu; Anthony Man-Cho So; Qing Ling 001 (IEEE Trans. Signal Process., 2021)

Computing D-Stationary Points of ρ-Margin Loss SVM. - Lai Tian; Anthony Man-Cho So (AISTATS, 2022)

Exact Community Recovery over Signed Graphs. - Xiaolu Wang; Peng Wang 098; Anthony Man-Cho So (AISTATS, 2022)

Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums. - Kaiwen Zhou; Lai Tian; Anthony Man-Cho So; James Cheng (AISTATS, 2022)

Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering. - Peng Wang 098; Huikang Liu; Anthony Man-Cho So; Laura Balzano (ICML, 2022)

On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions. - Lai Tian; Kaiwen Zhou; Anthony Man-Cho So (ICML, 2022)

Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning: Part I. - Jiaojiao Zhang; Huikang Liu; Anthony Man-Cho So; Qing Ling 001 (CoRR, 2022)

Fast and Provably Convergent Algorithms for Gromov-Wasserstein in Graph Learning. - Jiajin Li; Jianheng Tang; Lemin Kong; Huikang Liu; Jia Li 009; Anthony Man-Cho So; Jose H. Blanchet (CoRR, 2022)

Nonsmooth Composite Nonconvex-Concave Minimax Optimization. - Jiajin Li; Linglingzhi Zhu; Anthony Man-Cho So (CoRR, 2022)

Adaptive coordinate sampling for stochastic primal-dual optimization. - Huikang Liu; Xiaolu Wang; Anthony Man-Cho So (Int. Trans. Oper. Res., 2022)

Non-convex exact community recovery in stochastic block model. - Peng Wang 098; Zirui Zhou; Anthony Man-Cho So (Math. Program., 2022)

SISAL Revisited. - Chujun Huang; Mingjie Shao; Wing-Kin Ma; Anthony Man-Cho So (SIAM J. Imaging Sci., 2022)

Local Strong Convexity of Source Localization and Error Bound for Target Tracking under Time-of-Arrival Measurements. - Yuen-Man Pun; Anthony Man-Cho So (IEEE Trans. Signal Process., 2022)

Distributionally Robust Graph Learning From Smooth Signals Under Moment Uncertainty. - Xiaolu Wang; Yuen-Man Pun; Anthony Man-Cho So (IEEE Trans. Signal Process., 2022)

Probabilistic Simplex Component Analysis. - Ruiyuan Wu; Wing-Kin Ma; Yuening Li; Anthony Man-Cho So; Nicholas D. Sidiropoulos (IEEE Trans. Signal Process., 2022)

Maximum Flow Routing Strategy With Dynamic Link Allocation for Space Information Networks Under Transceiver Constraints. - Wei Liu 012; Lin Zhu; Huiting Yang; Hongyan Li 001; Jiandong Li 001; Anthony Man-Cho So (IEEE Trans. Veh. Technol., 2022)

On the Effectiveness of Parameter-Efficient Fine-Tuning. - Zihao Fu; Haoran Yang; Anthony Man-Cho So; Wai Lam; Lidong Bing; Nigel Collier (AAAI, 2023)

A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data. - Jiajin Li; Jianheng Tang; Lemin Kong; Huikang Liu; Jia Li 009; Anthony Man-Cho So; Jose H. Blanchet (ICLR, 2023)

Projected Tensor Power Method for Hypergraph Community Recovery. - Jinxin Wang; Yuen-Man Pun; Xiaolu Wang; Peng Wang 098; Anthony Man-Cho So (ICML, 2023)

Outlier-Robust Gromov-Wasserstein for Graph Data. - Lemin Kong; Jiajin Li; Jianheng Tang; Anthony Man-Cho So (NeurIPS, 2023)

ReSync: Riemannian Subgradient-based Robust Rotation Synchronization. - Huikang Liu; Xiao Li 009; Anthony Man-Cho So (NeurIPS, 2023)

LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees. - Shangyuan Liu; Linglingzhi Zhu; Anthony Man-Cho So (NeurIPS, 2023)

Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization. - Taoli Zheng; Linglingzhi Zhu; Anthony Man-Cho So; Jose H. Blanchet; Jiajin Li (NeurIPS, 2023)

A Stability Analysis of Fine-Tuning a Pre-Trained Model. - Zihao Fu; Anthony Man-Cho So; Nigel Collier (CoRR, 2023)

Outlier-Robust Gromov Wasserstein for Graph Data. - Lemin Kong; Jiajin Li; Anthony Man-Cho So (CoRR, 2023)

Testing Stationarity Concepts for ReLU Networks: Hardness, Regularity, and Robust Algorithms. - Lai Tian; Anthony Man-Cho So (CoRR, 2023)

Decentralized Weakly Convex Optimization Over the Stiefel Manifold. - Jinxin Wang; Jiang Hu; Shixiang Chen; Zengde Deng; Anthony Man-Cho So (CoRR, 2023)

Decoder-Only or Encoder-Decoder? Interpreting Language Model as a Regularized Encoder-Decoder. - Zihao Fu; Wai Lam; Qian Yu; Anthony Man-Cho So; Shengding Hu; Zhiyuan Liu 001; Nigel Collier (CoRR, 2023)

Revisiting Subgradient Method: Complexity and Convergence Beyond Lipschitz Continuity. - Xiao Li 009; Lei Zhao 016; Daoli Zhu; Anthony Man-Cho So (CoRR, 2023)

Linear Convergence of a Proximal Alternating Minimization Method with Extrapolation for ( boldsymbol{ ell_1} ) -Norm Principal Component Analysis. - Peng Wang 098; Huikang Liu; Anthony Man-Cho So (SIAM J. Optim., 2023)

A Communication-Efficient Decentralized Newton's Method With Provably Faster Convergence. - Huikang Liu; Jiaojiao Zhang; Anthony Man-Cho So; Qing Ling 001 (IEEE Trans. Signal Inf. Process. over Networks, 2023)

A Linearly Convergent Optimization Framework for Learning Graphs From Smooth Signals. - Xiaolu Wang; Chaorui Yao; Anthony Man-Cho So (IEEE Trans. Signal Inf. Process. over Networks, 2023)

Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning. - Jiaojiao Zhang; Huikang Liu; Anthony Man-Cho So; Qing Ling 001 (IEEE Trans. Signal Process., 2023)

A unified flow scheduling method for time sensitive networks. - Mingwu Yao; Jiamu Liu; Jing Du; Dongqi Yan; Yanxi Zhang; Wei Liu 012; Anthony Man-Cho So (Comput. Networks, 2023)

Non-Convex Joint Community Detection and Group Synchronization via Generalized Power Method. - Sijin Chen; Xiwei Cheng; Anthony Man-Cho So (AISTATS, 2024)

Lower-level Duality Based Reformulation and Majorization Minimization Algorithm for Hyperparameter Optimization. - He Chen; Haochen Xu; Rujun Jiang; Anthony Man-Cho So (AISTATS, 2024)

An Efficient Alternating Riemannian/Projected Gradient Descent Ascent Algorithm for Fair Principal Component Analysis. - Meng Xu; Bo Jiang 010; Wenqiang Pu; Ya-Feng Liu; Anthony Man-Cho So (ICASSP, 2024)

An Efficient Optimization Framework for Learning General Signed Graphs From Smooth Signals. - Shi-Yuk Fong; Anthony Man-Cho So (SAM, 2024)

Decentralized Non-Smooth Optimization Over the Stiefel Manifold. - Jinxin Wang; Jiang Hu; Shixiang Chen; Zengde Deng; Anthony Man-Cho So (SAM, 2024)

Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data. - Jiaojiao Zhang; Jiang Hu; Anthony Man-Cho So; Mikael Johansson 001 (NeurIPS, 2024)

Global strong convexity and characterization of critical points of time-of-arrival-based source localization. - Yuen-Man Pun; Anthony Man-Cho So (Comput. Geom., 2024)

A Survey of Advances in Optimization Methods for Wireless Communication System Design. - Ya-Feng Liu; Tsung-Hui Chang; Mingyi Hong 001; Zheyu Wu; Anthony Man-Cho So; Eduard A. Jorswieck; Wei Yu 001 (CoRR, 2024)

Spurious Stationarity and Hardness Results for Mirror Descent. - He Chen; Jiajin Li; Anthony Man-Cho So (CoRR, 2024)

Shuffling Gradient Descent-Ascent with Variance Reduction for Nonconvex-Strongly Concave Smooth Minimax Problems. - Xia Jiang; Linglingzhi Zhu; Anthony Man-Cho So; Shisheng Cui; Jian Sun 003 (CoRR, 2024)

Nonsmooth Optimization over the Stiefel Manifold and Beyond: Proximal Gradient Method and Recent Variants. - Shixiang Chen; Shiqian Ma; Anthony Man-Cho So; Tong Zhang 001 (SIAM Rev., 2024)

ROCS: Robust One-Bit Compressed Sensing With Application to Direction of Arrival. - Xiao Peng Li 005; Zhanglei Shi; Lei Huang 001; Anthony Man-Cho So; Hing Cheung So (IEEE Trans. Signal Process., 2024)

Extreme Point Pursuit - Part I: A Framework for Constant Modulus Optimization. - Junbin Liu; Ya Liu; Wing-Kin Ma; Mingjie Shao; Anthony Man-Cho So (IEEE Trans. Signal Process., 2024)

Extreme Point Pursuit - Part II: Further Error Bound Analysis and Applications. - Junbin Liu; Ya Liu; Wing-Kin Ma; Mingjie Shao; Anthony Man-Cho So (IEEE Trans. Signal Process., 2024)

Riemannian Natural Gradient Methods. - Jiang Hu; Ruicheng Ao; Anthony Man-Cho So; Minghan Yang; Zaiwen Wen (SIAM J. Sci. Comput., 2024)

Guest Editorial Advanced Optimization Theory and Algorithms for Next-Generation Wireless Communication Networks. - Ya-Feng Liu; Tsung-Hui Chang; Mingyi Hong 001; Anthony Man-Cho So; Eduard A. Jorswieck; Wei Yu 001 (IEEE J. Sel. Areas Commun., 2024)

A Survey of Recent Advances in Optimization Methods for Wireless Communications. - Ya-Feng Liu; Tsung-Hui Chang; Mingyi Hong 001; Zheyu Wu; Anthony Man-Cho So; Eduard A. Jorswieck; Wei Yu 001 (IEEE J. Sel. Areas Commun., 2024)

No dimension-free deterministic algorithm computes approximate stationarities of Lipschitzians. - Lai Tian; Anthony Man-Cho So (Math. Program., 2024)

Single-Loop Variance-Reduced Stochastic Algorithm for Nonconvex-Concave Minimax Optimization. - Xia Jiang; Linglingzhi Zhu; Taoli Zheng; Anthony Man-Cho So (ICASSP, 2025)

Network Games Induced Prior for Graph Topology Learning. - Chenyue Zhang; Shangyuan Liu; Hoi-To Wai; Anthony Man-Cho So (ICASSP, 2025)

Probe-Free Low-Rank Activation Intervention. - Chonghe Jiang; Bao Nguyen; Anthony Man-Cho So; Viet Anh Nguyen (NAACL (Long Papers), 2025)

Testing Approximate Stationarity Concepts for Piecewise Affine Functions. - Lai Tian; Anthony Man-Cho So (SODA, 2025)

Gaussian Blahut-Arimoto Algorithm for Capacity Region Calculation of Gaussian Vector Broadcast Channels. - Tian Jiao; Yanlin Geng; Yonghui Chu; Anthony Man-Cho So; Zai Yang (CoRR, 2025)