Hoi-To Wai

164 papers A* 23A 2B 1C 2Misc 28Journal 80Unranked 27
YearRankTypeTitle / Venue / Authors
2026 J jnl
Decentralized Stochastic Optimization Over Unreliable Networks via Two-Timescales Updates.
IEEE Trans. Signal Process.
Haoming Liu, Chung-Yiu Yau, Hoi-To Wai
2025 Misc conf
A Two-timescale Primal-dual Algorithm for Decentralized Optimization with Compression.
ICASSP
Haoming Liu, Chung-Yiu Yau, Hoi-To Wai
2025 — conf
Asynchronous and Stochastic Distributed Resource Allocation.
CDC
Qiang Li, Michal Yemini, Hoi-To Wai
2025 — conf
Byzantine-Resilient Decentralized Online Economic Dispatch for Smart Grids.
DSP
Runhua Wang, Qing Ling, Hoi-To Wai, Zhi Tian
2025 A* conf
Clipped SGD Algorithms for Performative Prediction: Tight Bounds for Stochastic Bias and Remedies.
ICML
Qiang Li, Michal Yemini, Hoi-To Wai
2025 J jnl
Federated Majorize-Minimization: Beyond Parameter Aggregation.
CoRR
Aymeric Dieuleveut, Gersende Fort, Mahmoud Hegazy, Hoi-To Wai
2025 J jnl
Learning Graph from Smooth Signals under Partial Observation: A Robustness Analysis.
CoRR
Hoang-Son Nguyen, Hoi-To Wai
2025 J jnl
Multilinear Tensor Low-Rank Approximation for Policy-Gradient Methods in Reinforcement Learning.
CoRR
Sergio Rozada, Hoi-To Wai, Antonio G. Marques
2025 J jnl
Multilinear Tensor Low-Rank Approximation for Policy-Gradient Methods in Reinforcement Learning.
IEEE Trans. Signal Process.
Sergio Rozada, Hoi-To Wai, Antonio G. Marques
2025 Misc conf
Network Games Induced Prior for Graph Topology Learning.
ICASSP
Chenyue Zhang, Shangyuan Liu, Hoi-To Wai, Anthony Man-Cho So
2025 A* conf
RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models.
ICML
Quan Wei, Chung-Yiu Yau, Hoi-To Wai, Yang Zhao, Dongyeop Kang, Youngsuk Park, Mingyi Hong
2025 J jnl
RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models.
CoRR
Quan Wei, Chung-Yiu Yau, Hoi-To Wai, Yang Zhao, Dongyeop Kang, Youngsuk Park, Mingyi Hong
2025 — conf
Stochastic Gradient Descent with Strategic Querying.
CDC
Nanfei Jiang, Hoi-To Wai, Mahnoosh Alizadeh
2025 J jnl
Stochastic Gradient Descent with Strategic Querying.
CoRR
Nanfei Jiang, Hoi-To Wai, Mahnoosh Alizadeh
2025 J jnl
Tighter Analysis for Decentralized Stochastic Gradient Method: Impact of Data Homogeneity.
IEEE Trans. Autom. Control.
Qiang Li, Hoi-To Wai
2024 J jnl
Blind Graph Matching Using Graph Signals.
IEEE Trans. Signal Process.
Hang Liu, Anna Scaglione, Hoi-To Wai
2024 J jnl
Clipped SGD Algorithms for Privacy Preserving Performative Prediction: Bias Amplification and Remedies.
CoRR
Qiang Li, Michal Yemini, Hoi-To Wai
2024 J jnl
Detecting Low Pass Graph Signals via Spectral Pattern: Sampling Complexity and Applications.
IEEE Trans. Signal Process.
Chenyue Zhang, Yiran He, Hoi-To Wai
2024 J jnl
Distributed Optimization With Personalization: A Flexible Algorithmic Framework.
IEEE Trans. Autom. Control.
Yan Huang, Jinming Xu, Wenchao Meng, Hoi-To Wai, Li Chai
2024 J jnl
Dual-Delayed Asynchronous SGD for Arbitrarily Heterogeneous Data.
CoRR
Xiaolu Wang, Yuchang Sun, Hoi-To Wai, Jun Zhang
2024 J jnl
EMC
CoRR
Chung-Yiu Yau, Hoi-To Wai, Parameswaran Raman, Soumajyoti Sarkar, Mingyi Hong
2024 A* conf
EMC2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence.
ICML
Chung-Yiu Yau, Hoi-To Wai, Parameswaran Raman, Soumajyoti Sarkar, Mingyi Hong
2024 J jnl
Fully Stochastic Primal-dual Gradient Algorithm for Non-convex Optimization on Random Graphs.
CoRR
Chung-Yiu Yau, Haoming Liu, Hoi-To Wai
2024 A* conf
Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment.
NeurIPS
Jiaxiang Li, Siliang Zeng, Hoi-To Wai, Chenliang Li, Alfredo García, Mingyi Hong
2024 J jnl
Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment.
CoRR
Jiaxiang Li, Siliang Zeng, Hoi-To Wai, Chenliang Li, Alfredo García, Mingyi Hong
2024 Misc conf
Learning Multiplex Graph With Inter-Layer Coupling.
ICASSP
Chenyue Zhang, Hoi-To Wai
2024 J jnl
Network Games Induced Prior for Graph Topology Learning.
CoRR
Chenyue Zhang, Shangyuan Liu, Hoi-To Wai, Anthony Man-Cho So
2024 — conf
On Detecting Low-Pass Graph Signals Under Partial Observations.
SAM
Hoang-Son Nguyen, Hoi-To Wai
2024 J jnl
Optimal Pricing for Linear-Quadratic Games With Nonlinear Interaction Between Agents.
IEEE Control. Syst. Lett.
Jiamin Cai, Chenyue Zhang, Hoi-To Wai
2024 J jnl
Optimal Pricing for Linear-Quadratic Games with Nonlinear Interaction Between Agents.
CoRR
Jiamin Cai, Chenyue Zhang, Hoi-To Wai
2024 A* conf
Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss.
NeurIPS
Qiang Li, Hoi-To Wai
2024 A* conf
Two-timescale Derivative Free Optimization for Performative Prediction with Markovian Data.
ICML
Haitong Liu, Qiang Li, Hoi-To Wai
2023 J jnl
A Two-Timescale Stochastic Algorithm Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic.
SIAM J. Optim.
Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang
2023 Misc conf
Central Nodes Detection from Partially Observed Graph Signals.
ICASSP
Yiran He, Hoi-To Wai
2023 J jnl
Clustering of Time-Varying Graphs Based on Temporal Label Smoothness.
CoRR
Katsuki Fukumoto, Koki Yamada, Yuichi Tanaka, Hoi-To Wai
2023 J jnl
Data Science Education: The Signal Processing Perspective [SP Education].
IEEE Signal Process. Mag.
Sharon Gannot, Zheng-Hua Tan, Martin Haardt, Nancy F. Chen, Hoi-To Wai, Ivan Tashev, Walter Kellermann, Justin Dauwels
2023 J jnl
DoCoM: Compressed Decentralized Optimization with Near-Optimal Sample Complexity.
Trans. Mach. Learn. Res.
Chung-Yiu Yau, Hoi-To Wai
2023 — conf
Fully Stochastic Distributed Convex Optimization on Time-Varying Graph with Compression.
CDC
Chung-Yiu Yau, Hoi-To Wai
2023 A conf
Incremental Aggregated Riemannian Gradient Method for Distributed PCA.
AISTATS
Xiaolu Wang, Yuchen Jiao, Hoi-To Wai, Yuantao Gu
2023 — conf
Linear Speedup of Incremental Aggregated Gradient Methods on Streaming Data.
CDC
Xiaolu Wang, Cheng Jin, Hoi-To Wai, Yuantao Gu
2023 J jnl
Linear Speedup of Incremental Aggregated Gradient Methods on Streaming Data.
CoRR
Xiaolu Wang, Cheng Jin, Hoi-To Wai, Yuantao Gu
2023 A* conf
Network Effects in Performative Prediction Games.
ICML
Xiaolu Wang, Chung-Yiu Yau, Hoi-To Wai
2023 Misc conf
Product Graph Learning From Multi-Attribute Graph Signals with Inter-Layer Coupling.
ICASSP
Chenyue Zhang, Yiran He, Hoi-To Wai
2023 — conf
Secure Integrated Sensing and Communication Downlink Beamforming: A Semidefinite Relaxation Approach With Tightness Guaranteed.
ICASSP Workshops
Wai-Yiu Keung, Hoi-To Wai, Wing-Kin Ma
2023 — conf
Solutions of the Graph Matching Problem Using Graph Signals.
CAMSAP
Hang Liu, Anna Scaglione, Hoi-To Wai
2023 J jnl
Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning.
IEEE Trans. Signal Process.
Aymeric Dieuleveut, Gersende Fort, Eric Moulines, Hoi-To Wai
2022 J jnl
Community Inference From Partially Observed Graph Signals: Algorithms and Analysis.
IEEE Trans. Signal Process.
Hoi-To Wai, Yonina C. Eldar, Asuman E. Ozdaglar, Anna Scaglione
2022 A* conf
Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach.
ICLR
Prashant Khanduri, Haibo Yang, Mingyi Hong, Jia Liu, Hoi-To Wai, Sijia Liu
2022 J jnl
Detecting Central Nodes From Low-Rank Excited Graph Signals via Structured Factor Analysis.
IEEE Trans. Signal Process.
Yiran He, Hoi-To Wai
2022 A* conf
Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication Complexity.
NeurIPS
Bingqing Song, Ioannis C. Tsaknakis, Chung-Yiu Yau, Hoi-To Wai, Mingyi Hong
2022 J jnl
DoCoM-SGT: Doubly Compressed Momentum-assisted Stochastic Gradient Tracking Algorithm for Communication Efficient Decentralized Learning.
CoRR
Chung-Yiu Yau, Hoi-To Wai
2022 A* conf
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence.
NeurIPS
Boyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu Marco Nie, Zhaoran Wang
2022 Misc conf
Joint Centrality Estimation and Graph Identification from Mixture of Low Pass Graph Signals.
ICASSP
Yiran He, Hoi-To Wai
2022 B conf
Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems.
ALT
Belhal Karimi, Hoi-To Wai, Eric Moulines, Ping Li
2022 A* conf
Multi-agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents.
NeurIPS
Qiang Li, Chung-Yiu Yau, Hoi-To Wai
2022 — conf
On the Role of Data Homogeneity in Multi-Agent Non-convex Stochastic Optimization.
CDC
Qiang Li, Hoi-To Wai
2022 Misc conf
On the Stability of Low Pass Graph Filter with a Large Number of Edge Rewires.
ICASSP
Hoang-Son Nguyen, Yiran He, Hoi-To Wai
2022 J jnl
Online Inference for Mixture Model of Streaming Graph Signals With Sparse Excitation.
IEEE Trans. Signal Process.
Yiran He, Hoi-To Wai
2022 J jnl
Robust Distributed Optimization With Randomly Corrupted Gradients.
IEEE Trans. Signal Process.
Berkay Turan, César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh
2022 A conf
State Dependent Performative Prediction with Stochastic Approximation.
AISTATS
Qiang Li, Hoi-To Wai
2022 — conf
Stochastic Gradient Tracking Methods for Distributed Personalized Optimization over Networks.
CDC
Yan Huang, Jinming Xu, Wenchao Meng, Hoi-To Wai
2021 J jnl
A Momentum-Assisted Single-Timescale Stochastic Approximation Algorithm for Bilevel Optimization.
CoRR
Prashant Khanduri, Siliang Zeng, Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang
2021 A* conf
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum.
NeurIPS
Prashant Khanduri, Siliang Zeng, Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang
2021 — conf
An Empirical Study on Compressed Decentralized Stochastic Gradient Algorithms with Overparameterized Models.
APSIPA ASC
Arjun Ashok Rao, Hoi-To Wai
2021 J jnl
An Empirical Study on Compressed Decentralized Stochastic Gradient Algorithms with Overparameterized Models.
CoRR
Arjun Ashok Rao, Hoi-To Wai
2021 A* conf
Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models.
AAAI
Ruiyuan Wu, Anna Scaglione, Hoi-To Wai, Nurullah Karakoç, Kari Hreinsson, Wing-Kin Ma
2021 Misc conf
Geom-Spider-EM: Faster Variance Reduced Stochastic Expectation Maximization for Nonconvex Finite-Sum Optimization.
ICASSP
Gersende Fort, Eric Moulines, Hoi-To Wai
2021 Misc conf
Identifying First-Order Lowpass Graph Signals Using Perron Frobenius Theorem.
ICASSP
Yiran He, Hoi-To Wai
2021 J jnl
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Finds Global Optima.
CoRR
Boyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu Marco Nie, Zhaoran Wang
2021 — conf
On Robustness of the Normalized Random Block Coordinate Method for Non-Convex Optimization.
CDC
Berkay Turan, César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh
2021 C conf
On Robustness of the Normalized Subgradient Method with Randomly Corrupted Subgradients.
ACC
Berkay Turan, César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh
2021 J jnl
On the Stability of Low Pass Graph Filter With a Large Number of Edge Rewires.
CoRR
Hoang-Son Nguyen, Yiran He, Hoi-To Wai
2021 A* conf
On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD Learning.
COLT
Alain Durmus, Eric Moulines, Alexey Naumov, Sergey Samsonov, Hoi-To Wai
2021 J jnl
On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD Learning.
CoRR
Alain Durmus, Eric Moulines, Alexey Naumov, Sergey Samsonov, Hoi-To Wai
2021 Misc conf
Provably Fast Asynchronous And Distributed Algorithms For Pagerank Centrality Computation.
ICASSP
Yiran He, Hoi-To Wai
2021 J jnl
Resilient Primal-Dual Optimization Algorithms for Distributed Resource Allocation.
IEEE Trans. Control. Netw. Syst.
Berkay Turan, César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh
2021 J jnl
Robust Distributed Optimization With Randomly Corrupted Gradients.
CoRR
Berkay Turan, Cesar A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh
2021 A* conf
Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize.
NeurIPS
Alain Durmus, Eric Moulines, Alexey Naumov, Sergey Samsonov, Kevin Scaman, Hoi-To Wai
2021 J jnl
Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize.
CoRR
Alain Durmus, Eric Moulines, Alexey Naumov, Sergey Samsonov, Kevin Scaman, Hoi-To Wai
2020 A* conf
A Stochastic Path Integral Differential EstimatoR Expectation Maximization Algorithm.
NeurIPS
Gersende Fort, Eric Moulines, Hoi-To Wai
2020 J jnl
A Stochastic Path-Integrated Differential EstimatoR Expectation Maximization Algorithm.
CoRR
Gersende Fort, Eric Moulines, Hoi-To Wai
2020 J jnl
A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic.
CoRR
Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang
2020 J jnl
A User Guide to Low-Pass Graph Signal Processing and Its Applications: Tools and Applications.
IEEE Signal Process. Mag.
Raksha Ramakrishna, Hoi-To Wai, Anna Scaglione
2020 J jnl
Accelerating incremental gradient optimization with curvature information.
Comput. Optim. Appl.
Hoi-To Wai, Wei Shi, César A. Uribe, Angelia Nedic, Anna Scaglione
2020 J jnl
Blind Community Detection From Low-Rank Excitations of a Graph Filter.
IEEE Trans. Signal Process.
Hoi-To Wai, Santiago Segarra, Asuman E. Ozdaglar, Anna Scaglione, Ali Jadbabaie
2020 J jnl
Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization.
IEEE Trans. Signal Process.
Xiao Fu, Shahana Ibrahim, Hoi-To Wai, Cheng Gao, Kejun Huang
2020 J jnl
Convergence Analysis of Riemannian Stochastic Approximation Schemes.
CoRR
Alain Durmus, Pablo Jiménez, Éric Moulines, Salem Said, Hoi-To Wai
2020 J jnl
Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond.
CoRR
Tsung-Hui Chang, Mingyi Hong, Hoi-To Wai, Xinwei Zhang, Songtao Lu
2020 J jnl
Distributed Learning in the Nonconvex World: From batch data to streaming and beyond.
IEEE Signal Process. Mag.
Tsung-Hui Chang, Mingyi Hong, Hoi-To Wai, Xinwei Zhang, Songtao Lu
2020 Misc conf
Estimating Centrality Blindly From Low-Pass Filtered Graph Signals.
ICASSP
Yiran He, Hoi-To Wai
2020 J jnl
Exact Blind Community Detection From Signals on Multiple Graphs.
IEEE Trans. Signal Process.
T. Mitchell Roddenberry, Michael T. Schaub, Hoi-To Wai, Santiago Segarra
2020 J jnl
Exact Blind Community Detection from Signals on Multiple Graphs.
CoRR
T. Mitchell Roddenberry, Michael T. Schaub, Hoi-To Wai, Santiago Segarra
2020 J jnl
Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models.
CoRR
Ruiyuan Wu, Anna Scaglione, Hoi-To Wai, Nurullah Karakoç, Kari Hreinsson, Wing-Kin Ma
2020 A* conf
Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise.
COLT
Maxim Kaledin, Eric Moulines, Alexey Naumov, Vladislav Tadic, Hoi-To Wai
2020 J jnl
Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise.
CoRR
Maxim Kaledin, Eric Moulines, Alexey Naumov, Vladislav Tadic, Hoi-To Wai
2020 J jnl
Geom-SPIDER-EM: Faster Variance Reduced Stochastic Expectation Maximization for Nonconvex Finite-Sum Optimization.
CoRR
Gersende Fort, Eric Moulines, Hoi-To Wai
2020 J jnl
Hybrid Inexact BCD for Coupled Structured Matrix Factorization in Hyperspectral Super-Resolution.
IEEE Trans. Signal Process.
Ruiyuan Wu, Hoi-To Wai, Wing-Kin Ma
2020 — conf
On the Convergence of Consensus Algorithms with Markovian noise and Gradient Bias.
CDC
Hoi-To Wai
2020 A* conf
Provably Efficient Neural GTD for Off-Policy Learning.
NeurIPS
Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong
2020 J jnl
Resilient Primal-Dual Optimization Algorithms for Distributed Resource Allocation.
CoRR
Berkay Turan, Cesar A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh
2019 J jnl
Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization.
CoRR
Xiao Fu, Cheng Gao, Hoi-To Wai, Kejun Huang
2019 Misc conf
Block-randomized Stochastic Proximal Gradient for Constrained Low-rank Tensor Factorization.
ICASSP
Xiao Fu, Cheng Gao, Hoi-To Wai, Kejun Huang
2019 Misc conf
Community Inference from Graph Signals with Hidden Nodes.
ICASSP
Hoi-To Wai, Yonina C. Eldar, Asuman E. Ozdaglar, Anna Scaglione
2019 J jnl
Joint Network Topology and Dynamics Recovery From Perturbed Stationary Points.
IEEE Trans. Signal Process.
Hoi-To Wai, Anna Scaglione, Baruch Barzel, Amir Leshem
2019 A* conf
Non-asymptotic Analysis of Biased Stochastic Approximation Scheme.
COLT
Belhal Karimi, Blazej Miasojedow, Eric Moulines, Hoi-To Wai
2019 J jnl
Non-asymptotic Analysis of Biased Stochastic Approximation Scheme.
CoRR
Belhal Karimi, Blazej Miasojedow, Eric Moulines, Hoi-To Wai
2019 A* conf
On the Global Convergence of (Fast) Incremental Expectation Maximization Methods.
NeurIPS
Belhal Karimi, Hoi-To Wai, Eric Moulines, Marc Lavielle
2019 J jnl
On the Global Convergence of (Fast) Incremental Expectation Maximization Methods.
CoRR
Belhal Karimi, Hoi-To Wai, Eric Moulines, Marc Lavielle
2019 — conf
Resilient Distributed Optimization Algorithms for Resource Allocation.
CDC
César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh
2019 J jnl
Retail and Wholesale Electricity Pricing Considering Electric Vehicle Mobility.
IEEE Trans. Control. Netw. Syst.
Mahnoosh Alizadeh, Hoi-To Wai, Andrea Goldsmith, Anna Scaglione
2019 Misc conf
Spectral Partitioning of Time-varying Networks with Unobserved Edges.
ICASSP
Michael T. Schaub, Santiago Segarra, Hoi-To Wai
2019 J jnl
Spectral partitioning of time-varying networks with unobserved edges.
CoRR
Michael T. Schaub, Santiago Segarra, Hoi-To Wai
2019 A* conf
Variance Reduced Policy Evaluation with Smooth Function Approximation.
NeurIPS
Hoi-To Wai, Mingyi Hong, Zhuoran Yang, Zhaoran Wang, Kexin Tang
2018 J jnl
A Review of Distributed Algorithms for Principal Component Analysis.
Proc. IEEE
Sissi Xiaoxiao Wu, Hoi-To Wai, Lin Li, Anna Scaglione
2018 J jnl
Blind Community Detection from Low-rank Excitations of a Graph Filter.
CoRR
Hoi-To Wai, Santiago Segarra, Asuman E. Ozdaglar, Anna Scaglione, Ali Jadbabaie
2018 Misc conf
Community Detection from Low-Rank Excitations of a Graph Filter.
ICASSP
Hoi-To Wai, Santiago Segarra, Asuman E. Ozdaglar, Anna Scaglione, Ali Jadbabaie
2018 Misc conf
Data Injection Attack on Decentralized Optimization.
ICASSP
Sissi Xiaoxiao Wu, Hoi-To Wai, Anna Scaglione, Angelia Nedic, Amir Leshem
2018 — conf
Detecting and Localizing Adversarial Nodes Usig Neural Networks.
SPAWC
Gangqiang Li, Sissi Xiaoxiao Wu, Shengli Zhang, Hoi-To Wai, Anna Scaglione
2018 J jnl
Estimating Social Opinion Dynamics Models From Voting Records.
IEEE Trans. Signal Process.
Sissi Xiaoxiao Wu, Hoi-To Wai, Anna Scaglione
2018 Misc conf
Hi, Bcd! Hybrid Inexact Block Coordinate Descent for Hyperspectral Super-Resolution.
ICASSP
Ruiyuan Wu, Chun-Hei Chan, Hoi-To Wai, Wing-Kin Ma, Xiao Fu
2018 Misc conf
Identifying Susceptible Agents in Time Varying Opinion Dynamics Through Compressive Measurements.
ICASSP
Hoi-To Wai, Asuman E. Ozdaglar, Anna Scaglione
2018 A* conf
Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames.
NeurIPS
Geneviève Robin, Hoi-To Wai, Julie Josse, Olga Klopp, Eric Moulines
2018 J jnl
Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames.
CoRR
Geneviève Robin, Hoi-To Wai, Julie Josse, Olga Klopp, Eric Moulines
2018 A* conf
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization.
NeurIPS
Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong
2018 J jnl
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization.
CoRR
Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong
2018 — conf
Network Inference and its Application to the Estimation of Crowd Dynamics from IoT Sensors.
SPAWC
Nikhil Ravi, Raksha Ramakrishna, Hoi-To Wai, Anna Scaglione
2018 — conf
Network Inference from Complex Systems Steady States Observations: Theory and Methods.
DSW
Hoi-To Wai, Anna Scaglione, Baruch Barzel, Amir Leshem
2018 — conf
SUCAG: Stochastic Unbiased Curvature-aided Gradient Method for Distributed Optimization.
CDC
Hoi-To Wai, Nikolaos M. Freris, Angelia Nedic, Anna Scaglione
2017 J jnl
Curvature-aided Incremental Aggregated Gradient Method.
CoRR
Hoi-To Wai, Wei Shi, Angelia Nedic, Anna Scaglione
2017 — conf
Curvature-aided incremental aggregated gradient method.
Allerton
Hoi-To Wai, Wei Shi, Angelia Nedic, Anna Scaglione
2017 J jnl
Decentralized Frank-Wolfe Algorithm for Convex and Nonconvex Problems.
IEEE Trans. Autom. Control.
Hoi-To Wai, Jean Lafond, Anna Scaglione, Eric Moulines
2017 Misc conf
Fast and privacy preserving distributed low-rank regression.
ICASSP
Hoi-To Wai, Anna Scaglione, Jean Lafond, Eric Moulines
2017 C conf
Marginal charging station pricing in an intelligent electric transportation system.
ACC
Mahnoosh Alizadeh, Hoi-To Wai, Andrea J. Goldsmith, Anna Scaglione
2017 — —
New and Provable Results for Network Inference Problems and Multi-agent Optimization Algorithms.
Hoi-To Wai
2017 — conf
Optimal Electricity Pricing for Societal Infrastructure Systems.
HICSS
Mahnoosh Alizadeh, Hoi-To Wai, Andrea J. Goldsmith, Anna Scaglione
2017 J jnl
Optimal Pricing to Manage Electric Vehicles in Coupled Power and Transportation Networks.
IEEE Trans. Control. Netw. Syst.
Mahnoosh Alizadeh, Hoi-To Wai, Mainak Chowdhury, Andrea Goldsmith, Anna Scaglione, Tara Javidi
2017 Misc conf
The Power-Oja method for decentralized subspace estimation/tracking.
ICASSP
Sissi Xiaoxiao Wu, Hoi-To Wai, Anna Scaglione, Neil A. Jacklin
2016 — conf
A projection-free decentralized algorithm for non-convex optimization.
GlobalSIP
Hoi-To Wai, Anna Scaglione, Jean Lafond, Eric Moulines
2016 J jnl
Active Sensing of Social Networks.
CoRR
Hoi-To Wai, Anna Scaglione, Amir Leshem
2016 J jnl
Active Sensing of Social Networks.
IEEE Trans. Signal Inf. Process. over Networks
Hoi-To Wai, Anna Scaglione, Amir Leshem
2016 Misc conf
Active online learning of trusts in social networks.
ICASSP
Hoi-To Wai, Anna Scaglione, Amir Leshem
2016 Misc conf
D-FW: Communication efficient distributed algorithms for high-dimensional sparse optimization.
ICASSP
Jean Lafond, Hoi-To Wai, Eric Moulines
2016 J jnl
Data Injection Attacks in Randomized Gossiping.
IEEE Trans. Signal Inf. Process. over Networks
Reinhard Gentz, Sissi Xiaoxiao Wu, Hoi-To Wai, Anna Scaglione, Amir Leshem
2016 — conf
Data mining the underlying trust in the US Congress.
GlobalSIP
Sissi Xiaoxiao Wu, Hoi-To Wai, Anna Scaglione
2016 J jnl
Decentralized Projection-free Optimization for Convex and Non-convex Problems.
CoRR
Hoi-To Wai, Jean Lafond, Anna Scaglione, Eric Moulines
2016 J jnl
Discrete Sum Rate Maximization for MISO Interference Broadcast Channels: Convex Approximations and Efficient Algorithms.
IEEE Trans. Signal Process.
Hoi-To Wai, Qiang Li, Wing-Kin Ma
2016 J jnl
RIDS: Robust Identification of Sparse Gene Regulatory Networks from Perturbation Experiments.
CoRR
Hoi-To Wai, Anna Scaglione, Uzi Harush, Baruch Barzel, Amir Leshem
2015 Misc conf
A consensus-based decentralized algorithm for non-convex optimization with application to dictionary learning.
ICASSP
Hoi-To Wai, Tsung-Hui Chang, Anna Scaglione
2015 J jnl
Consensus on State and Time: Decentralized Regression With Asynchronous Sampling.
IEEE Trans. Signal Process.
Hoi-To Wai, Anna Scaglione
2015 J jnl
Convergence Analysis of a Stochastic Projection-free Algorithm.
CoRR
Jean Lafond, Hoi-To Wai, Eric Moulines
2015 Misc conf
Detection of data injection attacks in decentralized learning.
ACSSC
Reinhard Gentz, Hoi-To Wai, Anna Scaglione, Amir Leshem
2015 — conf
Identifying trust in social networks with stubborn agents, with application to market decisions.
Allerton
Hoi-To Wai, Anna Scaglione, Amir Leshem
2015 J jnl
Joint Management of Electric Vehicles in Coupled Power and Transportation Networks.
CoRR
Mahnoosh Alizadeh, Hoi-To Wai, Mainak Chowdhury, Andrea J. Goldsmith, Anna Scaglione, Tara Javidi
2015 J jnl
The Social System Identification Problem.
CoRR
Hoi-To Wai, Anna Scaglione, Amir Leshem
2015 — conf
The social system identification problem.
CDC
Hoi-To Wai, Anna Scaglione, Amir Leshem
2014 Misc conf
Decentralized regression with asynchronous sub-Nyquist sampling.
ACSSC
Hoi-To Wai, Anna Scaglione
2014 — conf
Optimized path planning for electric vehicle routing and charging.
Allerton
Mahnoosh Alizadeh, Hoi-To Wai, Anna Scaglione, Andrea J. Goldsmith, Yueyue Fan, Tara Javidi
2014 — conf
State estimation with sampling offsets in Wide Area Measurement Systems.
SAM
Hoi-To Wai, Anna Scaglione
2013 Misc conf
A convex approximation method for multiuser MISO sum rate maximization under discrete rate constraints.
ICASSP
Hoi-To Wai, Qiang Li, Wing-Kin Ma
2013 Misc conf
An alternating optimization algorithm for the MIMO secrecy capacity problem under sum power and per-antenna power constraints.
ICASSP
Qiang Li, Mingyi Hong, Hoi-To Wai, Wing-Kin Ma, Ya-Feng Liu, Zhi-Quan Luo
2013 J jnl
Transmit Solutions for MIMO Wiretap Channels using Alternating Optimization.
IEEE J. Sel. Areas Commun.
Qiang Li, Mingyi Hong, Hoi-To Wai, Ya-Feng Liu, Wing-Kin Ma, Zhi-Quan Luo
2012 J jnl
A Decentralized Method for Joint Admission Control and Beamforming in Coordinated Multicell Downlink
CoRR
Hoi-To Wai, Wing-Kin Ma
2012 — conf
A decentralized method for joint admission control and beamforming in coordinated multicell downlink.
ACSCC
Hoi-To Wai, Wing-Kin Ma
2011 Misc conf
Cheap semidefinite relaxation MIMO detection using row-by-row block coordinate descent.
ICASSP
Hoi-To Wai, Wing-Kin Ma, Anthony Man-Cho So