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

A decentralized method for joint admission control and beamforming in coordinated multicell downlink. - Hoi-To Wai; Wing-Kin Ma (ACSCC, 2012)

An alternating optimization algorithm for the MIMO secrecy capacity problem under sum power and per-antenna power constraints. - Qiang Li 017; Mingyi Hong 001; Hoi-To Wai; Wing-Kin Ma; Ya-Feng Liu; Zhi-Quan Luo (ICASSP, 2013)

A convex approximation method for multiuser MISO sum rate maximization under discrete rate constraints. - Hoi-To Wai; Qiang Li 017; Wing-Kin Ma (ICASSP, 2013)

Transmit Solutions for MIMO Wiretap Channels using Alternating Optimization. - Qiang Li 017; Mingyi Hong 001; Hoi-To Wai; Ya-Feng Liu; Wing-Kin Ma; Zhi-Quan Luo (IEEE J. Sel. Areas Commun., 2013)

Decentralized regression with asynchronous sub-Nyquist sampling. - Hoi-To Wai; Anna Scaglione (ACSSC, 2014)

Optimized path planning for electric vehicle routing and charging. - Mahnoosh Alizadeh; Hoi-To Wai; Anna Scaglione; Andrea J. Goldsmith; Yueyue Fan; Tara Javidi (Allerton, 2014)

State estimation with sampling offsets in Wide Area Measurement Systems. - Hoi-To Wai; Anna Scaglione (SAM, 2014)

Detection of data injection attacks in decentralized learning. - Reinhard Gentz; Hoi-To Wai; Anna Scaglione; Amir Leshem (ACSSC, 2015)

Identifying trust in social networks with stubborn agents, with application to market decisions. - Hoi-To Wai; Anna Scaglione; Amir Leshem (Allerton, 2015)

The social system identification problem. - Hoi-To Wai; Anna Scaglione; Amir Leshem (CDC, 2015)

A consensus-based decentralized algorithm for non-convex optimization with application to dictionary learning. - Hoi-To Wai; Tsung-Hui Chang; Anna Scaglione (ICASSP, 2015)

Joint Management of Electric Vehicles in Coupled Power and Transportation Networks. - Mahnoosh Alizadeh; Hoi-To Wai; Mainak Chowdhury; Andrea J. Goldsmith; Anna Scaglione; Tara Javidi (CoRR, 2015)

Convergence Analysis of a Stochastic Projection-free Algorithm. - Jean Lafond; Hoi-To Wai; Eric Moulines (CoRR, 2015)

Consensus on State and Time: Decentralized Regression With Asynchronous Sampling. - Hoi-To Wai; Anna Scaglione (IEEE Trans. Signal Process., 2015)

A projection-free decentralized algorithm for non-convex optimization. - Hoi-To Wai; Anna Scaglione; Jean Lafond; Eric Moulines (GlobalSIP, 2016)

Data mining the underlying trust in the US Congress. - Sissi Xiaoxiao Wu; Hoi-To Wai; Anna Scaglione (GlobalSIP, 2016)

D-FW: Communication efficient distributed algorithms for high-dimensional sparse optimization. - Jean Lafond; Hoi-To Wai; Eric Moulines (ICASSP, 2016)

Active online learning of trusts in social networks. - Hoi-To Wai; Anna Scaglione; Amir Leshem (ICASSP, 2016)

Decentralized Projection-free Optimization for Convex and Non-convex Problems. - Hoi-To Wai; Jean Lafond; Anna Scaglione; Eric Moulines (CoRR, 2016)

RIDS: Robust Identification of Sparse Gene Regulatory Networks from Perturbation Experiments. - Hoi-To Wai; Anna Scaglione; Uzi Harush; Baruch Barzel; Amir Leshem (CoRR, 2016)

Data Injection Attacks in Randomized Gossiping. - Reinhard Gentz; Sissi Xiaoxiao Wu; Hoi-To Wai; Anna Scaglione; Amir Leshem (IEEE Trans. Signal Inf. Process. over Networks, 2016)

Active Sensing of Social Networks. - Hoi-To Wai; Anna Scaglione; Amir Leshem (IEEE Trans. Signal Inf. Process. over Networks, 2016)

Discrete Sum Rate Maximization for MISO Interference Broadcast Channels: Convex Approximations and Efficient Algorithms. - Hoi-To Wai; Qiang Li 017; Wing-Kin Ma (IEEE Trans. Signal Process., 2016)

Curvature-aided incremental aggregated gradient method. - Hoi-To Wai; Wei Shi 010; Angelia Nedic; Anna Scaglione (Allerton, 2017)

Marginal charging station pricing in an intelligent electric transportation system. - Mahnoosh Alizadeh; Hoi-To Wai; Andrea J. Goldsmith; Anna Scaglione (ACC, 2017)

Optimal Electricity Pricing for Societal Infrastructure Systems. - Mahnoosh Alizadeh; Hoi-To Wai; Andrea J. Goldsmith; Anna Scaglione (HICSS, 2017)

Fast and privacy preserving distributed low-rank regression. - Hoi-To Wai; Anna Scaglione; Jean Lafond; Eric Moulines (ICASSP, 2017)

The Power-Oja method for decentralized subspace estimation/tracking. - Sissi Xiaoxiao Wu; Hoi-To Wai; Anna Scaglione; Neil A. Jacklin (ICASSP, 2017)

Decentralized Frank-Wolfe Algorithm for Convex and Nonconvex Problems. - Hoi-To Wai; Jean Lafond; Anna Scaglione; Eric Moulines (IEEE Trans. Autom. Control., 2017)

Optimal Pricing to Manage Electric Vehicles in Coupled Power and Transportation Networks. - Mahnoosh Alizadeh; Hoi-To Wai; Mainak Chowdhury; Andrea Goldsmith; Anna Scaglione; Tara Javidi (IEEE Trans. Control. Netw. Syst., 2017)

New and Provable Results for Network Inference Problems and Multi-agent Optimization Algorithms. - Hoi-To Wai (2017)

SUCAG: Stochastic Unbiased Curvature-aided Gradient Method for Distributed Optimization. - Hoi-To Wai; Nikolaos M. Freris; Angelia Nedic; Anna Scaglione (CDC, 2018)

Network Inference from Complex Systems Steady States Observations: Theory and Methods. - Hoi-To Wai; Anna Scaglione; Baruch Barzel; Amir Leshem (DSW, 2018)

Identifying Susceptible Agents in Time Varying Opinion Dynamics Through Compressive Measurements. - Hoi-To Wai; Asuman E. Ozdaglar; Anna Scaglione (ICASSP, 2018)

Community Detection from Low-Rank Excitations of a Graph Filter. - Hoi-To Wai; Santiago Segarra; Asuman E. Ozdaglar; Anna Scaglione; Ali Jadbabaie (ICASSP, 2018)

Hi, Bcd! Hybrid Inexact Block Coordinate Descent for Hyperspectral Super-Resolution. - Ruiyuan Wu; Chun-Hei Chan; Hoi-To Wai; Wing-Kin Ma; Xiao Fu 001 (ICASSP, 2018)

Data Injection Attack on Decentralized Optimization. - Sissi Xiaoxiao Wu; Hoi-To Wai; Anna Scaglione; Angelia Nedic; Amir Leshem (ICASSP, 2018)

Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames. - Geneviève Robin; Hoi-To Wai; Julie Josse; Olga Klopp; Eric Moulines (NeurIPS, 2018)

Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization. - Hoi-To Wai; Zhuoran Yang; Zhaoran Wang 001; Mingyi Hong 001 (NeurIPS, 2018)

Detecting and Localizing Adversarial Nodes Usig Neural Networks. - Gangqiang Li; Sissi Xiaoxiao Wu; Shengli Zhang 001; Hoi-To Wai; Anna Scaglione (SPAWC, 2018)

Network Inference and its Application to the Estimation of Crowd Dynamics from IoT Sensors. - Nikhil Ravi; Raksha Ramakrishna; Hoi-To Wai; Anna Scaglione (SPAWC, 2018)

A Review of Distributed Algorithms for Principal Component Analysis. - Sissi Xiaoxiao Wu; Hoi-To Wai; Lin Li 005; Anna Scaglione (Proc. IEEE, 2018)

Estimating Social Opinion Dynamics Models From Voting Records. - Sissi Xiaoxiao Wu; Hoi-To Wai; Anna Scaglione (IEEE Trans. Signal Process., 2018)

Resilient Distributed Optimization Algorithms for Resource Allocation. - César A. Uribe; Hoi-To Wai; Mahnoosh Alizadeh (CDC, 2019)

Non-asymptotic Analysis of Biased Stochastic Approximation Scheme. - Belhal Karimi; Blazej Miasojedow; Eric Moulines; Hoi-To Wai (COLT, 2019)

Block-randomized Stochastic Proximal Gradient for Constrained Low-rank Tensor Factorization. - Xiao Fu 001; Cheng Gao; Hoi-To Wai; Kejun Huang (ICASSP, 2019)

Spectral Partitioning of Time-varying Networks with Unobserved Edges. - Michael T. Schaub; Santiago Segarra; Hoi-To Wai (ICASSP, 2019)

Community Inference from Graph Signals with Hidden Nodes. - Hoi-To Wai; Yonina C. Eldar; Asuman E. Ozdaglar; Anna Scaglione (ICASSP, 2019)

On the Global Convergence of (Fast) Incremental Expectation Maximization Methods. - Belhal Karimi; Hoi-To Wai; Eric Moulines; Marc Lavielle (NeurIPS, 2019)

Variance Reduced Policy Evaluation with Smooth Function Approximation. - Hoi-To Wai; Mingyi Hong 001; Zhuoran Yang; Zhaoran Wang 001; Kexin Tang (NeurIPS, 2019)

Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization. - Xiao Fu 001; Cheng Gao; Hoi-To Wai; Kejun Huang (CoRR, 2019)

Retail and Wholesale Electricity Pricing Considering Electric Vehicle Mobility. - Mahnoosh Alizadeh; Hoi-To Wai; Andrea Goldsmith; Anna Scaglione (IEEE Trans. Control. Netw. Syst., 2019)

Joint Network Topology and Dynamics Recovery From Perturbed Stationary Points. - Hoi-To Wai; Anna Scaglione; Baruch Barzel; Amir Leshem (IEEE Trans. Signal Process., 2019)

On the Convergence of Consensus Algorithms with Markovian noise and Gradient Bias. - Hoi-To Wai (CDC, 2020)

Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise. - Maxim Kaledin; Eric Moulines; Alexey Naumov; Vladislav Tadic; Hoi-To Wai (COLT, 2020)

Estimating Centrality Blindly From Low-Pass Filtered Graph Signals. - Yiran He; Hoi-To Wai (ICASSP, 2020)

A Stochastic Path Integral Differential EstimatoR Expectation Maximization Algorithm. - Gersende Fort; Eric Moulines; Hoi-To Wai (NeurIPS, 2020)

Provably Efficient Neural GTD for Off-Policy Learning. - Hoi-To Wai; Zhuoran Yang; Zhaoran Wang 001; Mingyi Hong 001 (NeurIPS, 2020)

Accelerating incremental gradient optimization with curvature information. - Hoi-To Wai; Wei Shi 010; César A. Uribe; Angelia Nedic; Anna Scaglione (Comput. Optim. Appl., 2020)

Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond. - Tsung-Hui Chang; Mingyi Hong 001; Hoi-To Wai; Xinwei Zhang 001; Songtao Lu (CoRR, 2020)

Convergence Analysis of Riemannian Stochastic Approximation Schemes. - Alain Durmus; Pablo Jiménez; Éric Moulines; Salem Said; Hoi-To Wai (CoRR, 2020)

A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic. - Mingyi Hong 001; Hoi-To Wai; Zhaoran Wang 001; Zhuoran Yang (CoRR, 2020)

A Stochastic Path-Integrated Differential EstimatoR Expectation Maximization Algorithm. - Gersende Fort; Eric Moulines; Hoi-To Wai (CoRR, 2020)

Distributed Learning in the Nonconvex World: From batch data to streaming and beyond. - Tsung-Hui Chang; Mingyi Hong 001; Hoi-To Wai; Xinwei Zhang 001; Songtao Lu (IEEE Signal Process. Mag., 2020)

A User Guide to Low-Pass Graph Signal Processing and Its Applications: Tools and Applications. - Raksha Ramakrishna; Hoi-To Wai; Anna Scaglione (IEEE Signal Process. Mag., 2020)

Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization. - Xiao Fu 001; Shahana Ibrahim; Hoi-To Wai; Cheng Gao; Kejun Huang (IEEE Trans. Signal Process., 2020)

Exact Blind Community Detection From Signals on Multiple Graphs. - T. Mitchell Roddenberry; Michael T. Schaub; Hoi-To Wai; Santiago Segarra (IEEE Trans. Signal Process., 2020)

Blind Community Detection From Low-Rank Excitations of a Graph Filter. - Hoi-To Wai; Santiago Segarra; Asuman E. Ozdaglar; Anna Scaglione; Ali Jadbabaie (IEEE Trans. Signal Process., 2020)

Hybrid Inexact BCD for Coupled Structured Matrix Factorization in Hyperspectral Super-Resolution. - Ruiyuan Wu; Hoi-To Wai; Wing-Kin Ma (IEEE Trans. Signal Process., 2020)

Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models. - Ruiyuan Wu; Anna Scaglione; Hoi-To Wai; Nurullah Karakoç; Kari Hreinsson; Wing-Kin Ma (AAAI, 2021)

On Robustness of the Normalized Subgradient Method with Randomly Corrupted Subgradients. - Berkay Turan; César A. Uribe; Hoi-To Wai; Mahnoosh Alizadeh (ACC, 2021)

An Empirical Study on Compressed Decentralized Stochastic Gradient Algorithms with Overparameterized Models. - Arjun Ashok Rao; Hoi-To Wai (APSIPA ASC, 2021)

On Robustness of the Normalized Random Block Coordinate Method for Non-Convex Optimization. - Berkay Turan; César A. Uribe; Hoi-To Wai; Mahnoosh Alizadeh (CDC, 2021)

On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD Learning. - Alain Durmus; Eric Moulines; Alexey Naumov; Sergey Samsonov; Hoi-To Wai (COLT, 2021)

Geom-Spider-EM: Faster Variance Reduced Stochastic Expectation Maximization for Nonconvex Finite-Sum Optimization. - Gersende Fort; Eric Moulines; Hoi-To Wai (ICASSP, 2021)

Provably Fast Asynchronous And Distributed Algorithms For Pagerank Centrality Computation. - Yiran He; Hoi-To Wai (ICASSP, 2021)

Identifying First-Order Lowpass Graph Signals Using Perron Frobenius Theorem. - Yiran He; Hoi-To Wai (ICASSP, 2021)

Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize. - Alain Durmus; Eric Moulines; Alexey Naumov; Sergey Samsonov; Kevin Scaman; Hoi-To Wai (NeurIPS, 2021)

A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum. - Prashant Khanduri; Siliang Zeng; Mingyi Hong 001; Hoi-To Wai; Zhaoran Wang 001; Zhuoran Yang (NeurIPS, 2021)

A Momentum-Assisted Single-Timescale Stochastic Approximation Algorithm for Bilevel Optimization. - Prashant Khanduri; Siliang Zeng; Mingyi Hong 001; Hoi-To Wai; Zhaoran Wang 001; Zhuoran Yang (CoRR, 2021)

Inducing Equilibria via Incentives: Simultaneous Design-and-Play Finds Global Optima. - Boyi Liu 001; Jiayang Li 001; Zhuoran Yang; Hoi-To Wai; Mingyi Hong 001; Yu Marco Nie; Zhaoran Wang 001 (CoRR, 2021)

Resilient Primal-Dual Optimization Algorithms for Distributed Resource Allocation. - Berkay Turan; César A. Uribe; Hoi-To Wai; Mahnoosh Alizadeh (IEEE Trans. Control. Netw. Syst., 2021)

State Dependent Performative Prediction with Stochastic Approximation. - Qiang Li 017; Hoi-To Wai (AISTATS, 2022)

Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems. - Belhal Karimi; Hoi-To Wai; Eric Moulines; Ping Li 001 (ALT, 2022)

On the Role of Data Homogeneity in Multi-Agent Non-convex Stochastic Optimization. - Qiang Li 017; Hoi-To Wai (CDC, 2022)

Stochastic Gradient Tracking Methods for Distributed Personalized Optimization over Networks. - Yan Huang 036; Jinming Xu 002; Wenchao Meng; Hoi-To Wai (CDC, 2022)

Joint Centrality Estimation and Graph Identification from Mixture of Low Pass Graph Signals. - Yiran He; Hoi-To Wai (ICASSP, 2022)

On the Stability of Low Pass Graph Filter with a Large Number of Edge Rewires. - Hoang-Son Nguyen; Yiran He; Hoi-To Wai (ICASSP, 2022)

Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach. - Prashant Khanduri; Haibo Yang 001; Mingyi Hong 001; Jia Liu 002; Hoi-To Wai; Sijia Liu 001 (ICLR, 2022)

Multi-agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents. - Qiang Li 017; Chung-Yiu Yau; Hoi-To Wai (NeurIPS, 2022)

Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence. - Boyi Liu 001; Jiayang Li 001; Zhuoran Yang; Hoi-To Wai; Mingyi Hong 001; Yu Marco Nie; Zhaoran Wang 001 (NeurIPS, 2022)

Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication Complexity. - Bingqing Song; Ioannis C. Tsaknakis; Chung-Yiu Yau; Hoi-To Wai; Mingyi Hong 001 (NeurIPS, 2022)

DoCoM-SGT: Doubly Compressed Momentum-assisted Stochastic Gradient Tracking Algorithm for Communication Efficient Decentralized Learning. - Chung-Yiu Yau; Hoi-To Wai (CoRR, 2022)

Detecting Central Nodes From Low-Rank Excited Graph Signals via Structured Factor Analysis. - Yiran He; Hoi-To Wai (IEEE Trans. Signal Process., 2022)

Online Inference for Mixture Model of Streaming Graph Signals With Sparse Excitation. - Yiran He; Hoi-To Wai (IEEE Trans. Signal Process., 2022)

Robust Distributed Optimization With Randomly Corrupted Gradients. - Berkay Turan; César A. Uribe; Hoi-To Wai; Mahnoosh Alizadeh (IEEE Trans. Signal Process., 2022)

Community Inference From Partially Observed Graph Signals: Algorithms and Analysis. - Hoi-To Wai; Yonina C. Eldar; Asuman E. Ozdaglar; Anna Scaglione (IEEE Trans. Signal Process., 2022)

Incremental Aggregated Riemannian Gradient Method for Distributed PCA. - Xiaolu Wang; Yuchen Jiao; Hoi-To Wai; Yuantao Gu (AISTATS, 2023)

Solutions of the Graph Matching Problem Using Graph Signals. - Hang Liu 007; Anna Scaglione; Hoi-To Wai (CAMSAP, 2023)

Linear Speedup of Incremental Aggregated Gradient Methods on Streaming Data. - Xiaolu Wang; Cheng Jin; Hoi-To Wai; Yuantao Gu (CDC, 2023)

Fully Stochastic Distributed Convex Optimization on Time-Varying Graph with Compression. - Chung-Yiu Yau; Hoi-To Wai (CDC, 2023)

Central Nodes Detection from Partially Observed Graph Signals. - Yiran He; Hoi-To Wai (ICASSP, 2023)

Secure Integrated Sensing and Communication Downlink Beamforming: A Semidefinite Relaxation Approach With Tightness Guaranteed. - Wai-Yiu Keung; Hoi-To Wai; Wing-Kin Ma (ICASSP Workshops, 2023)

Product Graph Learning From Multi-Attribute Graph Signals with Inter-Layer Coupling. - Chenyue Zhang; Yiran He; Hoi-To Wai (ICASSP, 2023)

Network Effects in Performative Prediction Games. - Xiaolu Wang; Chung-Yiu Yau; Hoi-To Wai (ICML, 2023)

Clustering of Time-Varying Graphs Based on Temporal Label Smoothness. - Katsuki Fukumoto; Koki Yamada; Yuichi Tanaka 001; Hoi-To Wai (CoRR, 2023)

DoCoM: Compressed Decentralized Optimization with Near-Optimal Sample Complexity. - Chung-Yiu Yau; Hoi-To Wai (Trans. Mach. Learn. Res., 2023)

Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning. - Aymeric Dieuleveut; Gersende Fort; Eric Moulines; Hoi-To Wai (IEEE Trans. Signal Process., 2023)

A Two-Timescale Stochastic Algorithm Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic. - Mingyi Hong 001; Hoi-To Wai; Zhaoran Wang 001; Zhuoran Yang (SIAM J. Optim., 2023)

Data Science Education: The Signal Processing Perspective [SP Education]. - Sharon Gannot; Zheng-Hua Tan; Martin Haardt; Nancy F. Chen; Hoi-To Wai; Ivan Tashev; Walter Kellermann; Justin Dauwels (IEEE Signal Process. Mag., 2023)

Learning Multiplex Graph With Inter-Layer Coupling. - Chenyue Zhang; Hoi-To Wai (ICASSP, 2024)

Two-timescale Derivative Free Optimization for Performative Prediction with Markovian Data. - Haitong Liu; Qiang Li 017; Hoi-To Wai (ICML, 2024)

EMC2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence. - Chung-Yiu Yau; Hoi-To Wai; Parameswaran Raman; Soumajyoti Sarkar; Mingyi Hong 001 (ICML, 2024)

On Detecting Low-Pass Graph Signals Under Partial Observations. - Hoang-Son Nguyen; Hoi-To Wai (SAM, 2024)

Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss. - Qiang Li 017; Hoi-To Wai (NeurIPS, 2024)

Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment. - Jiaxiang Li; Siliang Zeng; Hoi-To Wai; Chenliang Li; Alfredo García 001; Mingyi Hong 001 (NeurIPS, 2024)

EMC2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence. - Chung-Yiu Yau; Hoi-To Wai; Parameswaran Raman; Soumajyoti Sarkar; Mingyi Hong 001 (CoRR, 2024)

Clipped SGD Algorithms for Privacy Preserving Performative Prediction: Bias Amplification and Remedies. - Qiang Li 017; Michal Yemini; Hoi-To Wai (CoRR, 2024)

Dual-Delayed Asynchronous SGD for Arbitrarily Heterogeneous Data. - Xiaolu Wang; Yuchang Sun 001; Hoi-To Wai; Jun Zhang 004 (CoRR, 2024)

Fully Stochastic Primal-dual Gradient Algorithm for Non-convex Optimization on Random Graphs. - Chung-Yiu Yau; Haoming Liu; Hoi-To Wai (CoRR, 2024)

Optimal Pricing for Linear-Quadratic Games With Nonlinear Interaction Between Agents. - Jiamin Cai; Chenyue Zhang; Hoi-To Wai (IEEE Control. Syst. Lett., 2024)

Blind Graph Matching Using Graph Signals. - Hang Liu 007; Anna Scaglione; Hoi-To Wai (IEEE Trans. Signal Process., 2024)

Detecting Low Pass Graph Signals via Spectral Pattern: Sampling Complexity and Applications. - Chenyue Zhang; Yiran He; Hoi-To Wai (IEEE Trans. Signal Process., 2024)

Distributed Optimization With Personalization: A Flexible Algorithmic Framework. - Yan Huang 036; Jinming Xu 002; Wenchao Meng; Hoi-To Wai; Li Chai 001 (IEEE Trans. Autom. Control., 2024)

A Two-timescale Primal-dual Algorithm for Decentralized Optimization with Compression. - Haoming Liu; Chung-Yiu Yau; Hoi-To Wai (ICASSP, 2025)

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

Byzantine-Resilient Decentralized Online Economic Dispatch for Smart Grids. - Runhua Wang; Qing Ling 001; Hoi-To Wai; Zhi Tian (DSP, 2025)

Multilinear Tensor Low-Rank Approximation for Policy-Gradient Methods in Reinforcement Learning. - Sergio Rozada; Hoi-To Wai; Antonio G. Marques (CoRR, 2025)

RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models. - Quan Wei 001; Chung-Yiu Yau; Hoi-To Wai; Yang Zhao; Dongyeop Kang; Youngsuk Park; Mingyi Hong 001 (CoRR, 2025)

Federated Majorize-Minimization: Beyond Parameter Aggregation. - Aymeric Dieuleveut; Gersende Fort; Mahmoud Hegazy; Hoi-To Wai (CoRR, 2025)

Tighter Analysis for Decentralized Stochastic Gradient Method: Impact of Data Homogeneity. - Qiang Li 017; Hoi-To Wai (IEEE Trans. Autom. Control., 2025)