Hoi-To Wai

According to our database, Hoi-To Wai authored at least 125 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Distributed Optimization With Personalization: A Flexible Algorithmic Framework.

Yan Huang, Jinming Xu, Wenchao Meng, Hoi-To Wai, Li Chai

IEEE Trans. Autom. Control., October, 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

Blind Graph Matching Using Graph Signals.

Hang Liu, Anna Scaglione, Hoi-To Wai

IEEE Trans. Signal Process., 2024

Optimal Pricing for Linear-Quadratic Games With Nonlinear Interaction Between Agents.

Jiamin Cai, Chenyue Zhang, Hoi-To Wai

IEEE Control. Syst. Lett., 2024

Network Games Induced Prior for Graph Topology Learning.

Chenyue Zhang, Shangyuan Liu, Hoi-To Wai, Anthony Man-Cho So

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

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, Mingyi Hong

CoRR, 2024

Dual-Delayed Asynchronous SGD for Arbitrarily Heterogeneous Data.

Xiaolu Wang, Yuchang Sun, Hoi-To Wai, Jun Zhang

CoRR, 2024

Clipped SGD Algorithms for Privacy Preserving Performative Prediction: Bias Amplification and Remedies.

Qiang Li, Michal Yemini, Hoi-To Wai

CoRR, 2024

EMC²: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence.

Chung-Yiu Yau, Hoi-To Wai, Parameswaran Raman, Soumajyoti Sarkar, Mingyi Hong

CoRR, 2024

On Detecting Low-Pass Graph Signals Under Partial Observations.

Hoang-Son Nguyen, Hoi-To Wai

Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

EMC2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence.

Chung-Yiu Yau, Hoi-To Wai, Parameswaran Raman, Soumajyoti Sarkar, Mingyi Hong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Two-timescale Derivative Free Optimization for Performative Prediction with Markovian Data.

Haitong Liu, Qiang Li, Hoi-To Wai

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Multiplex Graph With Inter-Layer Coupling.

Chenyue Zhang, Hoi-To Wai

Proceedings of the IEEE International Conference on Acoustics, 2024

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., November, 2023

A Two-Timescale Stochastic Algorithm Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic.

Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang

SIAM J. Optim., March, 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

DoCoM: Compressed Decentralized Optimization with Near-Optimal Sample Complexity.

Chung-Yiu Yau, Hoi-To Wai

Trans. Mach. Learn. Res., 2023

Clustering of Time-Varying Graphs Based on Temporal Label Smoothness.

Katsuki Fukumoto, Koki Yamada, Yuichi Tanaka, Hoi-To Wai

CoRR, 2023

Network Effects in Performative Prediction Games.

Xiaolu Wang, Chung-Yiu Yau, Hoi-To Wai

Proceedings of the International Conference on Machine Learning, 2023

Product Graph Learning From Multi-Attribute Graph Signals with Inter-Layer Coupling.

Chenyue Zhang, Yiran He, Hoi-To Wai

Proceedings of the IEEE International Conference on Acoustics, 2023

Secure Integrated Sensing and Communication Downlink Beamforming: A Semidefinite Relaxation Approach With Tightness Guaranteed.

Wai-Yiu Keung, Hoi-To Wai, Wing-Kin Ma

Proceedings of the IEEE International Conference on Acoustics, 2023

Central Nodes Detection from Partially Observed Graph Signals.

Yiran He, Hoi-To Wai

Proceedings of the IEEE International Conference on Acoustics, 2023

Fully Stochastic Distributed Convex Optimization on Time-Varying Graph with Compression.

Chung-Yiu Yau, Hoi-To Wai

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Linear Speedup of Incremental Aggregated Gradient Methods on Streaming Data.

Xiaolu Wang, Cheng Jin, Hoi-To Wai, Yuantao Gu

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Solutions of the Graph Matching Problem Using Graph Signals.

Hang Liu, Anna Scaglione, Hoi-To Wai

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

Incremental Aggregated Riemannian Gradient Method for Distributed PCA.

Xiaolu Wang, Yuchen Jiao, Hoi-To Wai, Yuantao Gu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

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

Robust Distributed Optimization With Randomly Corrupted Gradients.

Berkay Turan, César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh

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

Detecting Central Nodes From Low-Rank Excited Graph Signals via Structured Factor Analysis.

Yiran He, Hoi-To Wai

IEEE Trans. Signal Process., 2022

DoCoM-SGT: Doubly Compressed Momentum-assisted Stochastic Gradient Tracking Algorithm for Communication Efficient Decentralized Learning.

Chung-Yiu Yau, Hoi-To Wai

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence.

Boyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu Marco Nie, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents.

Qiang Li, Chung-Yiu Yau, Hoi-To Wai

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach.

Prashant Khanduri, Haibo Yang, Mingyi Hong, Jia Liu, Hoi-To Wai, Sijia Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

On the Stability of Low Pass Graph Filter with a Large Number of Edge Rewires.

Hoang-Son Nguyen, Yiran He, Hoi-To Wai

Proceedings of the IEEE International Conference on Acoustics, 2022

Joint Centrality Estimation and Graph Identification from Mixture of Low Pass Graph Signals.

Yiran He, Hoi-To Wai

Proceedings of the IEEE International Conference on Acoustics, 2022

Stochastic Gradient Tracking Methods for Distributed Personalized Optimization over Networks.

Yan Huang, Jinming Xu, Wenchao Meng, Hoi-To Wai

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

On the Role of Data Homogeneity in Multi-Agent Non-convex Stochastic Optimization.

Qiang Li, Hoi-To Wai

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems.

Belhal Karimi, Hoi-To Wai, Eric Moulines, Ping Li

Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

State Dependent Performative Prediction with Stochastic Approximation.

Qiang Li, Hoi-To Wai

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

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

Inducing Equilibria via Incentives: Simultaneous Design-and-Play Finds Global Optima.

Boyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu Marco Nie, Zhaoran Wang

CoRR, 2021

A Momentum-Assisted Single-Timescale Stochastic Approximation Algorithm for Bilevel Optimization.

Prashant Khanduri, Siliang Zeng, Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang

CoRR, 2021

A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum.

Prashant Khanduri, Siliang Zeng, Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Identifying First-Order Lowpass Graph Signals Using Perron Frobenius Theorem.

Yiran He, Hoi-To Wai

Proceedings of the IEEE International Conference on Acoustics, 2021

Provably Fast Asynchronous And Distributed Algorithms For Pagerank Centrality Computation.

Yiran He, Hoi-To Wai

Proceedings of the IEEE International Conference on Acoustics, 2021

Geom-Spider-EM: Faster Variance Reduced Stochastic Expectation Maximization for Nonconvex Finite-Sum Optimization.

Gersende Fort, Eric Moulines, Hoi-To Wai

Proceedings of the IEEE International Conference on Acoustics, 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

Proceedings of the Conference on Learning Theory, 2021

On Robustness of the Normalized Random Block Coordinate Method for Non-Convex Optimization.

Berkay Turan, César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

An Empirical Study on Compressed Decentralized Stochastic Gradient Algorithms with Overparameterized Models.

Arjun Ashok Rao, Hoi-To Wai

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

On Robustness of the Normalized Subgradient Method with Randomly Corrupted Subgradients.

Berkay Turan, César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh

Proceedings of the 2021 American Control Conference, 2021

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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

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

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

Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization.

Xiao Fu, Shahana Ibrahim, Hoi-To Wai, Cheng Gao, Kejun Huang

IEEE Trans. Signal Process., 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

Distributed Learning in the Nonconvex World: From batch data to streaming and beyond.

Tsung-Hui Chang, Mingyi Hong, Hoi-To Wai, Xinwei Zhang, Songtao Lu

IEEE Signal Process. Mag., 2020

A Stochastic Path-Integrated Differential EstimatoR Expectation Maximization Algorithm.

Gersende Fort, Eric Moulines, Hoi-To Wai

CoRR, 2020

A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic.

Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang

CoRR, 2020

Convergence Analysis of Riemannian Stochastic Approximation Schemes.

Alain Durmus, Pablo Jiménez, Éric Moulines, Salem Said, Hoi-To Wai

CoRR, 2020

Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond.

Tsung-Hui Chang, Mingyi Hong, Hoi-To Wai, Xinwei Zhang, Songtao Lu

CoRR, 2020

Accelerating incremental gradient optimization with curvature information.

Hoi-To Wai, Wei Shi, César A. Uribe, Angelia Nedic, Anna Scaglione

Comput. Optim. Appl., 2020

Provably Efficient Neural GTD for Off-Policy Learning.

Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Stochastic Path Integral Differential EstimatoR Expectation Maximization Algorithm.

Gersende Fort, Eric Moulines, Hoi-To Wai

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Estimating Centrality Blindly From Low-Pass Filtered Graph Signals.

Yiran He, Hoi-To Wai

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise.

Maxim Kaledin, Eric Moulines, Alexey Naumov, Vladislav Tadic, Hoi-To Wai

Proceedings of the Conference on Learning Theory, 2020

On the Convergence of Consensus Algorithms with Markovian noise and Gradient Bias.

Hoi-To Wai

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

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

Retail and Wholesale Electricity Pricing Considering Electric Vehicle Mobility.

Mahnoosh Alizadeh, Hoi-To Wai, Andrea Goldsmith, Anna Scaglione

IEEE Trans. Control. Netw. Syst., 2019

Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization.

Xiao Fu, Cheng Gao, Hoi-To Wai, Kejun Huang

CoRR, 2019

Variance Reduced Policy Evaluation with Smooth Function Approximation.

Hoi-To Wai, Mingyi Hong, Zhuoran Yang, Zhaoran Wang, Kexin Tang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On the Global Convergence of (Fast) Incremental Expectation Maximization Methods.

Belhal Karimi, Hoi-To Wai, Eric Moulines, Marc Lavielle

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Community Inference from Graph Signals with Hidden Nodes.

Hoi-To Wai, Yonina C. Eldar, Asuman E. Ozdaglar, Anna Scaglione

Proceedings of the IEEE International Conference on Acoustics, 2019

Spectral Partitioning of Time-varying Networks with Unobserved Edges.

Michael T. Schaub, Santiago Segarra, Hoi-To Wai

Proceedings of the IEEE International Conference on Acoustics, 2019

Block-randomized Stochastic Proximal Gradient for Constrained Low-rank Tensor Factorization.

Xiao Fu, Cheng Gao, Hoi-To Wai, Kejun Huang

Proceedings of the IEEE International Conference on Acoustics, 2019

Non-asymptotic Analysis of Biased Stochastic Approximation Scheme.

Belhal Karimi, Blazej Miasojedow, Eric Moulines, Hoi-To Wai

Proceedings of the Conference on Learning Theory, 2019

Resilient Distributed Optimization Algorithms for Resource Allocation.

César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Estimating Social Opinion Dynamics Models From Voting Records.

Sissi Xiaoxiao Wu, Hoi-To Wai, Anna Scaglione

IEEE Trans. Signal Process., 2018

A Review of Distributed Algorithms for Principal Component Analysis.

Sissi Xiaoxiao Wu, Hoi-To Wai, Lin Li, Anna Scaglione

Proc. IEEE, 2018

Network Inference and its Application to the Estimation of Crowd Dynamics from IoT Sensors.

Nikhil Ravi, Raksha Ramakrishna, Hoi-To Wai, Anna Scaglione

Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Detecting and Localizing Adversarial Nodes Usig Neural Networks.

Gangqiang Li, Sissi Xiaoxiao Wu, Shengli Zhang, Hoi-To Wai, Anna Scaglione

Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization.

Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames.

Geneviève Robin, Hoi-To Wai, Julie Josse, Olga Klopp, Eric Moulines

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Data Injection Attack on Decentralized Optimization.

Sissi Xiaoxiao Wu, Hoi-To Wai, Anna Scaglione, Angelia Nedic, Amir Leshem

Proceedings of the 2018 IEEE International Conference on Acoustics, 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

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Community Detection from Low-Rank Excitations of a Graph Filter.

Hoi-To Wai, Santiago Segarra, Asuman E. Ozdaglar, Anna Scaglione, Ali Jadbabaie

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Identifying Susceptible Agents in Time Varying Opinion Dynamics Through Compressive Measurements.

Hoi-To Wai, Asuman E. Ozdaglar, Anna Scaglione

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Network Inference from Complex Systems Steady States Observations: Theory and Methods.

Hoi-To Wai, Anna Scaglione, Baruch Barzel, Amir Leshem

Proceedings of the 2018 IEEE Data Science Workshop, 2018

SUCAG: Stochastic Unbiased Curvature-aided Gradient Method for Distributed Optimization.

Hoi-To Wai, Nikolaos M. Freris, Angelia Nedic, Anna Scaglione

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

New and Provable Results for Network Inference Problems and Multi-agent Optimization Algorithms.

Hoi-To Wai

PhD thesis, 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

Decentralized Frank-Wolfe Algorithm for Convex and Nonconvex Problems.

Hoi-To Wai, Jean Lafond, Anna Scaglione, Eric Moulines

IEEE Trans. Autom. Control., 2017

The Power-Oja method for decentralized subspace estimation/tracking.

Sissi Xiaoxiao Wu, Hoi-To Wai, Anna Scaglione, Neil A. Jacklin

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Fast and privacy preserving distributed low-rank regression.

Hoi-To Wai, Anna Scaglione, Jean Lafond, Eric Moulines

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Optimal Electricity Pricing for Societal Infrastructure Systems.

Mahnoosh Alizadeh, Hoi-To Wai, Andrea J. Goldsmith, Anna Scaglione

Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

Marginal charging station pricing in an intelligent electric transportation system.

Mahnoosh Alizadeh, Hoi-To Wai, Andrea J. Goldsmith, Anna Scaglione

Proceedings of the 2017 American Control Conference, 2017

Curvature-aided incremental aggregated gradient method.

Hoi-To Wai, Wei Shi, Angelia Nedic, Anna Scaglione

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016

Discrete Sum Rate Maximization for MISO Interference Broadcast Channels: Convex Approximations and Efficient Algorithms.

Hoi-To Wai, Qiang Li, Wing-Kin Ma

IEEE Trans. Signal Process., 2016

Active Sensing of Social Networks.

Hoi-To Wai, Anna Scaglione, Amir Leshem

IEEE Trans. Signal Inf. Process. over Networks, 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

RIDS: Robust Identification of Sparse Gene Regulatory Networks from Perturbation Experiments.

Hoi-To Wai, Anna Scaglione, Uzi Harush, Baruch Barzel, Amir Leshem

CoRR, 2016

Decentralized Projection-free Optimization for Convex and Non-convex Problems.

Hoi-To Wai, Jean Lafond, Anna Scaglione, Eric Moulines

CoRR, 2016

Active online learning of trusts in social networks.

Hoi-To Wai, Anna Scaglione, Amir Leshem

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

D-FW: Communication efficient distributed algorithms for high-dimensional sparse optimization.

Jean Lafond, Hoi-To Wai, Eric Moulines

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Data mining the underlying trust in the US Congress.

Sissi Xiaoxiao Wu, Hoi-To Wai, Anna Scaglione

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

A projection-free decentralized algorithm for non-convex optimization.

Hoi-To Wai, Anna Scaglione, Jean Lafond, Eric Moulines

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015

Consensus on State and Time: Decentralized Regression With Asynchronous Sampling.

Hoi-To Wai, Anna Scaglione

IEEE Trans. Signal Process., 2015

Convergence Analysis of a Stochastic Projection-free Algorithm.

Jean Lafond, Hoi-To Wai, Eric Moulines

CoRR, 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

A consensus-based decentralized algorithm for non-convex optimization with application to dictionary learning.

Hoi-To Wai, Tsung-Hui Chang, Anna Scaglione

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

The social system identification problem.

Hoi-To Wai, Anna Scaglione, Amir Leshem

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Identifying trust in social networks with stubborn agents, with application to market decisions.

Hoi-To Wai, Anna Scaglione, Amir Leshem

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

Detection of data injection attacks in decentralized learning.

Reinhard Gentz, Hoi-To Wai, Anna Scaglione, Amir Leshem

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014

State estimation with sampling offsets in Wide Area Measurement Systems.

Hoi-To Wai, Anna Scaglione

Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

Optimized path planning for electric vehicle routing and charging.

Mahnoosh Alizadeh, Hoi-To Wai, Anna Scaglione, Andrea J. Goldsmith, Yueyue Fan, Tara Javidi

Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

Decentralized regression with asynchronous sub-Nyquist sampling.

Hoi-To Wai, Anna Scaglione

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013

Transmit Solutions for MIMO Wiretap Channels using Alternating Optimization.

Qiang Li, Mingyi Hong, Hoi-To Wai, Ya-Feng Liu, Wing-Kin Ma, Zhi-Quan Luo

IEEE J. Sel. Areas Commun., 2013

A convex approximation method for multiuser MISO sum rate maximization under discrete rate constraints.

Hoi-To Wai, Qiang Li, Wing-Kin Ma

Proceedings of the IEEE International Conference on Acoustics, 2013

An alternating optimization algorithm for the MIMO secrecy capacity problem under sum power and per-antenna power constraints.

Qiang Li, Mingyi Hong, Hoi-To Wai, Wing-Kin Ma, Ya-Feng Liu, Zhi-Quan Luo

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

A decentralized method for joint admission control and beamforming in coordinated multicell downlink.

Hoi-To Wai, Wing-Kin Ma

Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011

Cheap semidefinite relaxation MIMO detection using row-by-row block coordinate descent.

Hoi-To Wai, Wing-Kin Ma, Anthony Man-Cho So

Proceedings of the IEEE International Conference on Acoustics, 2011