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2020 – today
- 2024
[j31]Jiamin Cai, Chenyue Zhang
, Hoi-To Wai:
Optimal Pricing for Linear-Quadratic Games With Nonlinear Interaction Between Agents. IEEE Control. Syst. Lett. 8: 1631-1636 (2024)- [j30]Yan Huang, Jinming Xu, Wenchao Meng, Hoi-To Wai, Li Chai:
Distributed Optimization With Personalization: A Flexible Algorithmic Framework. IEEE Trans. Autom. Control. 69(10): 6715-6730 (2024) - [j29]Hang Liu, Anna Scaglione, Hoi-To Wai:
Blind Graph Matching Using Graph Signals. IEEE Trans. Signal Process. 72: 1766-1781 (2024) - [j28]Chenyue Zhang, Yiran He, Hoi-To Wai:
Detecting Low Pass Graph Signals via Spectral Pattern: Sampling Complexity and Applications. IEEE Trans. Signal Process. 72: 3347-3362 (2024) - [c74]Chenyue Zhang, Hoi-To Wai:
Learning Multiplex Graph With Inter-Layer Coupling. ICASSP 2024: 12916-12920 - [c73]Haitong Liu, Qiang Li, Hoi-To Wai:
Two-timescale Derivative Free Optimization for Performative Prediction with Markovian Data. ICML 2024 - [c72]Chung-Yiu Yau, Hoi-To Wai, Parameswaran Raman, Soumajyoti Sarkar, Mingyi Hong:
EMC2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence. ICML 2024 - [c71]Hoang-Son Nguyen, Hoi-To Wai:
On Detecting Low-Pass Graph Signals Under Partial Observations. SAM 2024: 1-5 - [i39]Chung-Yiu Yau, Hoi-To Wai, Parameswaran Raman, Soumajyoti Sarkar, Mingyi Hong:
EMC2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence. CoRR abs/2404.10575 (2024) - [i38]Qiang Li, Michal Yemini, Hoi-To Wai:
Clipped SGD Algorithms for Privacy Preserving Performative Prediction: Bias Amplification and Remedies. CoRR abs/2404.10995 (2024) - [i37]Jiamin Cai, Chenyue Zhang, Hoi-To Wai:
Optimal Pricing for Linear-Quadratic Games with Nonlinear Interaction Between Agents. CoRR abs/2405.01047 (2024) - [i36]Xiaolu Wang, Yuchang Sun, Hoi-To Wai, Jun Zhang:
Dual-Delayed Asynchronous SGD for Arbitrarily Heterogeneous Data. CoRR abs/2405.16966 (2024) - [i35]Jiaxiang Li, Siliang Zeng, Hoi-To Wai, Chenliang Li, Alfredo García, Mingyi Hong:
Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment. CoRR abs/2405.17888 (2024) - 2023
- [j27]Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang:
A Two-Timescale Stochastic Algorithm Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic. SIAM J. Optim. 33(1): 147-180 (2023) - [j26]Sharon Gannot, Zheng-Hua Tan, Martin Haardt, Nancy F. Chen, Hoi-To Wai, Ivan Tashev, Walter Kellermann, Justin Dauwels:
Data Science Education: The Signal Processing Perspective [SP Education]. IEEE Signal Process. Mag. 40(7): 89-93 (2023) - [j25]Chung-Yiu Yau, Hoi-To Wai:
DoCoM: Compressed Decentralized Optimization with Near-Optimal Sample Complexity. Trans. Mach. Learn. Res. 2023 (2023) - [j24]Aymeric Dieuleveut, Gersende Fort, Eric Moulines, Hoi-To Wai:
Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning. IEEE Trans. Signal Process. 71: 3117-3148 (2023) - [c70]Xiaolu Wang, Yuchen Jiao, Hoi-To Wai, Yuantao Gu:
Incremental Aggregated Riemannian Gradient Method for Distributed PCA. AISTATS 2023: 7492-7510 - [c69]Hang Liu, Anna Scaglione, Hoi-To Wai:
Solutions of the Graph Matching Problem Using Graph Signals. CAMSAP 2023: 266-270 - [c68]Chung-Yiu Yau, Hoi-To Wai:
Fully Stochastic Distributed Convex Optimization on Time-Varying Graph with Compression. CDC 2023: 145-150 - [c67]Xiaolu Wang, Cheng Jin, Hoi-To Wai, Yuantao Gu:
Linear Speedup of Incremental Aggregated Gradient Methods on Streaming Data. CDC 2023: 4314-4319 - [c66]Yiran He, Hoi-To Wai:
Central Nodes Detection from Partially Observed Graph Signals. ICASSP 2023: 1-5 - [c65]Wai-Yiu Keung, Hoi-To Wai, Wing-Kin Ma:
Secure Integrated Sensing and Communication Downlink Beamforming: A Semidefinite Relaxation Approach With Tightness Guaranteed. ICASSP Workshops 2023: 1-5 - [c64]Chenyue Zhang, Yiran He, Hoi-To Wai:
Product Graph Learning From Multi-Attribute Graph Signals with Inter-Layer Coupling. ICASSP 2023: 1-5 - [c63]Xiaolu Wang, Chung-Yiu Yau, Hoi-To Wai:
Network Effects in Performative Prediction Games. ICML 2023: 36514-36540 - [i34]Katsuki Fukumoto, Koki Yamada, Yuichi Tanaka, Hoi-To Wai:
Clustering of Time-Varying Graphs Based on Temporal Label Smoothness. CoRR abs/2305.06576 (2023) - [i33]Xiaolu Wang, Cheng Jin, Hoi-To Wai, Yuantao Gu:
Linear Speedup of Incremental Aggregated Gradient Methods on Streaming Data. CoRR abs/2309.04980 (2023) - 2022
- [j23]Hoi-To Wai, Yonina C. Eldar, Asuman E. Ozdaglar, Anna Scaglione:
Community Inference From Partially Observed Graph Signals: Algorithms and Analysis. IEEE Trans. Signal Process. 70: 2136-2151 (2022) - [j22]Yiran He, Hoi-To Wai:
Detecting Central Nodes From Low-Rank Excited Graph Signals via Structured Factor Analysis. IEEE Trans. Signal Process. 70: 2416-2430 (2022) - [j21]Berkay Turan, César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh:
Robust Distributed Optimization With Randomly Corrupted Gradients. IEEE Trans. Signal Process. 70: 3484-3498 (2022) - [j20]Yiran He, Hoi-To Wai:
Online Inference for Mixture Model of Streaming Graph Signals With Sparse Excitation. IEEE Trans. Signal Process. 70: 6419-6433 (2022) - [c62]Qiang Li, Hoi-To Wai:
State Dependent Performative Prediction with Stochastic Approximation. AISTATS 2022: 3164-3186 - [c61]Belhal Karimi, Hoi-To Wai, Eric Moulines, Ping Li:
Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems. ALT 2022: 606-637 - [c60]Yan Huang, Jinming Xu, Wenchao Meng, Hoi-To Wai:
Stochastic Gradient Tracking Methods for Distributed Personalized Optimization over Networks. CDC 2022: 4571-4578 - [c59]Qiang Li, Hoi-To Wai:
On the Role of Data Homogeneity in Multi-Agent Non-convex Stochastic Optimization. CDC 2022: 5843-5848 - [c58]Hoang-Son Nguyen, Yiran He, Hoi-To Wai:
On the Stability of Low Pass Graph Filter with a Large Number of Edge Rewires. ICASSP 2022: 5568-5572 - [c57]Yiran He, Hoi-To Wai:
Joint Centrality Estimation and Graph Identification from Mixture of Low Pass Graph Signals. ICASSP 2022: 5677-5681 - [c56]Prashant Khanduri, Haibo Yang, Mingyi Hong, Jia Liu, Hoi-To Wai, Sijia Liu:
Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach. ICLR 2022 - [c55]Qiang Li, Chung-Yiu Yau, Hoi-To Wai:
Multi-agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents. NeurIPS 2022 - [c54]Boyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu (Marco) Nie, Zhaoran Wang:
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence. NeurIPS 2022 - [c53]Bingqing Song, Ioannis C. Tsaknakis, Chung-Yiu Yau, Hoi-To Wai, Mingyi Hong:
Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication Complexity. NeurIPS 2022 - [i32]Chung-Yiu Yau, Hoi-To Wai:
DoCoM-SGT: Doubly Compressed Momentum-assisted Stochastic Gradient Tracking Algorithm for Communication Efficient Decentralized Learning. CoRR abs/2202.00255 (2022) - 2021
- [j19]Berkay Turan, César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh:
Resilient Primal-Dual Optimization Algorithms for Distributed Resource Allocation. IEEE Trans. Control. Netw. Syst. 8(1): 282-294 (2021) - [c52]Ruiyuan Wu, Anna Scaglione, Hoi-To Wai, Nurullah Karakoç, Kari Hreinsson, Wing-Kin Ma:
Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models. AAAI 2021: 10355-10362 - [c51]Berkay Turan, César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh:
On Robustness of the Normalized Subgradient Method with Randomly Corrupted Subgradients. ACC 2021: 965-971 - [c50]Arjun Ashok Rao, Hoi-To Wai:
An Empirical Study on Compressed Decentralized Stochastic Gradient Algorithms with Overparameterized Models. APSIPA ASC 2021: 337-343 - [c49]Berkay Turan, César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh:
On Robustness of the Normalized Random Block Coordinate Method for Non-Convex Optimization. CDC 2021: 974-980 - [c48]Alain Durmus, Eric Moulines, Alexey Naumov, Sergey Samsonov, Hoi-To Wai:
On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD Learning. COLT 2021: 1711-1752 - [c47]Gersende Fort, Eric Moulines, Hoi-To Wai:
Geom-Spider-EM: Faster Variance Reduced Stochastic Expectation Maximization for Nonconvex Finite-Sum Optimization. ICASSP 2021: 3135-3139 - [c46]Yiran He, Hoi-To Wai:
Provably Fast Asynchronous And Distributed Algorithms For Pagerank Centrality Computation. ICASSP 2021: 5050-5054 - [c45]Yiran He, Hoi-To Wai:
Identifying First-Order Lowpass Graph Signals Using Perron Frobenius Theorem. ICASSP 2021: 5285-5289 - [c44]Alain Durmus, Eric Moulines, Alexey Naumov, Sergey Samsonov, Kevin Scaman, Hoi-To Wai:
Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize. NeurIPS 2021: 30063-30074 - [c43]Prashant Khanduri, Siliang Zeng, Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang:
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum. NeurIPS 2021: 30271-30283 - [i31]Alain Durmus, Eric Moulines, Alexey Naumov, Sergey Samsonov, Hoi-To Wai:
On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD Learning. CoRR abs/2102.00185 (2021) - [i30]Prashant Khanduri, Siliang Zeng, Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang:
A Momentum-Assisted Single-Timescale Stochastic Approximation Algorithm for Bilevel Optimization. CoRR abs/2102.07367 (2021) - [i29]Alain Durmus, Eric Moulines, Alexey Naumov, Sergey Samsonov, Kevin Scaman, Hoi-To Wai:
Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize. CoRR abs/2106.01257 (2021) - [i28]Berkay Turan, Cesar A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh:
Robust Distributed Optimization With Randomly Corrupted Gradients. CoRR abs/2106.14956 (2021) - [i27]Boyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu Marco Nie, Zhaoran Wang:
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Finds Global Optima. CoRR abs/2110.01212 (2021) - [i26]Arjun Ashok Rao, Hoi-To Wai:
An Empirical Study on Compressed Decentralized Stochastic Gradient Algorithms with Overparameterized Models. CoRR abs/2110.04523 (2021) - [i25]Hoang-Son Nguyen, Yiran He, Hoi-To Wai:
On the Stability of Low Pass Graph Filter With a Large Number of Edge Rewires. CoRR abs/2110.07234 (2021) - 2020
- [j18]Hoi-To Wai, Wei Shi, César A. Uribe, Angelia Nedic, Anna Scaglione:
Accelerating incremental gradient optimization with curvature information. Comput. Optim. Appl. 76(2): 347-380 (2020) - [j17]Tsung-Hui Chang, Mingyi Hong, Hoi-To Wai, Xinwei Zhang, Songtao Lu:
Distributed Learning in the Nonconvex World: From batch data to streaming and beyond. IEEE Signal Process. Mag. 37(3): 26-38 (2020) - [j16]Raksha Ramakrishna, Hoi-To Wai, Anna Scaglione:
A User Guide to Low-Pass Graph Signal Processing and Its Applications: Tools and Applications. IEEE Signal Process. Mag. 37(6): 74-85 (2020) - [j15]Hoi-To Wai, Santiago Segarra, Asuman E. Ozdaglar, Anna Scaglione, Ali Jadbabaie:
Blind Community Detection From Low-Rank Excitations of a Graph Filter. IEEE Trans. Signal Process. 68: 436-451 (2020) - [j14]Ruiyuan Wu, Hoi-To Wai, Wing-Kin Ma:
Hybrid Inexact BCD for Coupled Structured Matrix Factorization in Hyperspectral Super-Resolution. IEEE Trans. Signal Process. 68: 1728-1743 (2020) - [j13]Xiao Fu, Shahana Ibrahim, Hoi-To Wai, Cheng Gao, Kejun Huang:
Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization. IEEE Trans. Signal Process. 68: 2170-2185 (2020) - [j12]T. Mitchell Roddenberry, Michael T. Schaub, Hoi-To Wai, Santiago Segarra:
Exact Blind Community Detection From Signals on Multiple Graphs. IEEE Trans. Signal Process. 68: 5016-5030 (2020) - [c42]Hoi-To Wai:
On the Convergence of Consensus Algorithms with Markovian noise and Gradient Bias. CDC 2020: 4897-4902 - [c41]Maxim Kaledin, Eric Moulines, Alexey Naumov, Vladislav Tadic, Hoi-To Wai:
Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise. COLT 2020: 2144-2203 - [c40]Yiran He, Hoi-To Wai:
Estimating Centrality Blindly From Low-Pass Filtered Graph Signals. ICASSP 2020: 5330-5334 - [c39]Gersende Fort, Eric Moulines, Hoi-To Wai:
A Stochastic Path Integral Differential EstimatoR Expectation Maximization Algorithm. NeurIPS 2020 - [c38]Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong:
Provably Efficient Neural GTD for Off-Policy Learning. NeurIPS 2020 - [i24]Berkay Turan, Cesar A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh:
Resilient Primal-Dual Optimization Algorithms for Distributed Resource Allocation. CoRR abs/2001.00612 (2020) - [i23]Tsung-Hui Chang, Mingyi Hong, Hoi-To Wai, Xinwei Zhang, Songtao Lu:
Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond. CoRR abs/2001.04786 (2020) - [i22]T. Mitchell Roddenberry, Michael T. Schaub, Hoi-To Wai, Santiago Segarra:
Exact Blind Community Detection from Signals on Multiple Graphs. CoRR abs/2001.10944 (2020) - [i21]Maxim Kaledin, Eric Moulines, Alexey Naumov, Vladislav Tadic, Hoi-To Wai:
Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise. CoRR abs/2002.01268 (2020) - [i20]Alain Durmus, Pablo Jiménez, Éric Moulines, Salem Said, Hoi-To Wai:
Convergence Analysis of Riemannian Stochastic Approximation Schemes. CoRR abs/2005.13284 (2020) - [i19]Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang:
A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic. CoRR abs/2007.05170 (2020) - [i18]Gersende Fort, Eric Moulines, Hoi-To Wai:
Geom-SPIDER-EM: Faster Variance Reduced Stochastic Expectation Maximization for Nonconvex Finite-Sum Optimization. CoRR abs/2011.12392 (2020) - [i17]Gersende Fort, Eric Moulines, Hoi-To Wai:
A Stochastic Path-Integrated Differential EstimatoR Expectation Maximization Algorithm. CoRR abs/2012.01929 (2020) - [i16]Ruiyuan Wu, Anna Scaglione, Hoi-To Wai, Nurullah Karakoç, Kari Hreinsson, Wing-Kin Ma:
Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models. CoRR abs/2012.13900 (2020)
2010 – 2019
- 2019
- [j11]Mahnoosh Alizadeh, Hoi-To Wai, Andrea Goldsmith, Anna Scaglione:
Retail and Wholesale Electricity Pricing Considering Electric Vehicle Mobility. IEEE Trans. Control. Netw. Syst. 6(1): 249-260 (2019) - [j10]Hoi-To Wai, Anna Scaglione, Baruch Barzel, Amir Leshem:
Joint Network Topology and Dynamics Recovery From Perturbed Stationary Points. IEEE Trans. Signal Process. 67(17): 4582-4596 (2019) - [c37]César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh:
Resilient Distributed Optimization Algorithms for Resource Allocation. CDC 2019: 8341-8346 - [c36]Belhal Karimi, Blazej Miasojedow, Eric Moulines, Hoi-To Wai:
Non-asymptotic Analysis of Biased Stochastic Approximation Scheme. COLT 2019: 1944-1974 - [c35]Michael T. Schaub, Santiago Segarra, Hoi-To Wai:
Spectral Partitioning of Time-varying Networks with Unobserved Edges. ICASSP 2019: 4938-4942 - [c34]Hoi-To Wai, Yonina C. Eldar, Asuman E. Ozdaglar, Anna Scaglione:
Community Inference from Graph Signals with Hidden Nodes. ICASSP 2019: 4948-4952 - [c33]Xiao Fu, Cheng Gao, Hoi-To Wai, Kejun Huang:
Block-randomized Stochastic Proximal Gradient for Constrained Low-rank Tensor Factorization. ICASSP 2019: 7485-7489 - [c32]Belhal Karimi, Hoi-To Wai, Eric Moulines, Marc Lavielle:
On the Global Convergence of (Fast) Incremental Expectation Maximization Methods. NeurIPS 2019: 2833-2843 - [c31]Hoi-To Wai, Mingyi Hong, Zhuoran Yang, Zhaoran Wang, Kexin Tang:
Variance Reduced Policy Evaluation with Smooth Function Approximation. NeurIPS 2019: 5776-5787 - [i15]Xiao Fu, Cheng Gao, Hoi-To Wai, Kejun Huang:
Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization. CoRR abs/1901.05529 (2019) - [i14]Belhal Karimi, Blazej Miasojedow, Eric Moulines, Hoi-To Wai:
Non-asymptotic Analysis of Biased Stochastic Approximation Scheme. CoRR abs/1902.00629 (2019) - [i13]Michael T. Schaub, Santiago Segarra, Hoi-To Wai:
Spectral partitioning of time-varying networks with unobserved edges. CoRR abs/1904.11930 (2019) - [i12]Belhal Karimi, Hoi-To Wai, Eric Moulines, Marc Lavielle:
On the Global Convergence of (Fast) Incremental Expectation Maximization Methods. CoRR abs/1910.12521 (2019) - 2018
- [j9]Sissi Xiaoxiao Wu, Hoi-To Wai, Lin Li, Anna Scaglione:
A Review of Distributed Algorithms for Principal Component Analysis. Proc. IEEE 106(8): 1321-1340 (2018) - [j8]Sissi Xiaoxiao Wu, Hoi-To Wai, Anna Scaglione:
Estimating Social Opinion Dynamics Models From Voting Records. IEEE Trans. Signal Process. 66(16): 4193-4206 (2018) - [c30]Hoi-To Wai, Nikolaos M. Freris, Angelia Nedic, Anna Scaglione:
SUCAG: Stochastic Unbiased Curvature-aided Gradient Method for Distributed Optimization. CDC 2018: 1751-1756 - [c29]Hoi-To Wai, Anna Scaglione, Baruch Barzel, Amir Leshem:
Network Inference from Complex Systems Steady States Observations: Theory and Methods. DSW 2018: 155-159 - [c28]Ruiyuan Wu, Chun-Hei Chan, Hoi-To Wai, Wing-Kin Ma, Xiao Fu:
Hi, Bcd! Hybrid Inexact Block Coordinate Descent for Hyperspectral Super-Resolution. ICASSP 2018: 2426-2430 - [c27]Sissi Xiaoxiao Wu, Hoi-To Wai, Anna Scaglione, Angelia Nedic, Amir Leshem:
Data Injection Attack on Decentralized Optimization. ICASSP 2018: 3644-3648 - [c26]Hoi-To Wai, Santiago Segarra, Asuman E. Ozdaglar, Anna Scaglione, Ali Jadbabaie:
Community Detection from Low-Rank Excitations of a Graph Filter. ICASSP 2018: 4044-4048 - [c25]Hoi-To Wai, Asuman E. Ozdaglar, Anna Scaglione:
Identifying Susceptible Agents in Time Varying Opinion Dynamics Through Compressive Measurements. ICASSP 2018: 4114-4118 - [c24]Geneviève Robin, Hoi-To Wai, Julie Josse, Olga Klopp, Eric Moulines:
Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames. NeurIPS 2018: 5501-5511 - [c23]Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong:
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization. NeurIPS 2018: 9672-9683 - [c22]Gangqiang Li, Sissi Xiaoxiao Wu, Shengli Zhang, Hoi-To Wai, Anna Scaglione:
Detecting and Localizing Adversarial Nodes Usig Neural Networks. SPAWC 2018: 1-5 - [c21]Nikhil Ravi, Raksha Ramakrishna, Hoi-To Wai, Anna Scaglione:
Network Inference and its Application to the Estimation of Crowd Dynamics from IoT Sensors. SPAWC 2018: 1-5 - [i11]Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong:
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization. CoRR abs/1806.00877 (2018) - [i10]Hoi-To Wai, Santiago Segarra, Asuman E. Ozdaglar, Anna Scaglione, Ali Jadbabaie:
Blind Community Detection from Low-rank Excitations of a Graph Filter. CoRR abs/1809.01485 (2018) - [i9]Geneviève Robin, Hoi-To Wai, Julie Josse, Olga Klopp, Eric Moulines:
Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames. CoRR abs/1812.08398 (2018) - 2017
- [b1]Hoi-To Wai:
New and Provable Results for Network Inference Problems and Multi-agent Optimization Algorithms. Arizona State University, Tempe, USA, 2017 - [j7]Hoi-To Wai, Jean Lafond, Anna Scaglione, Eric Moulines:
Decentralized Frank-Wolfe Algorithm for Convex and Nonconvex Problems. IEEE Trans. Autom. Control. 62(11): 5522-5537 (2017) - [j6]Mahnoosh Alizadeh, Hoi-To Wai, Mainak Chowdhury, Andrea Goldsmith, Anna Scaglione, Tara Javidi:
Optimal Pricing to Manage Electric Vehicles in Coupled Power and Transportation Networks. IEEE Trans. Control. Netw. Syst. 4(4): 863-875 (2017) - [c20]Hoi-To Wai, Wei Shi, Angelia Nedic, Anna Scaglione:
Curvature-aided incremental aggregated gradient method. Allerton 2017: 526-532 - [c19]Mahnoosh Alizadeh, Hoi-To Wai, Andrea J. Goldsmith, Anna Scaglione:
Marginal charging station pricing in an intelligent electric transportation system. ACC 2017: 3438-3444 - [c18]Mahnoosh Alizadeh, Hoi-To Wai, Andrea J. Goldsmith, Anna Scaglione:
Optimal Electricity Pricing for Societal Infrastructure Systems. HICSS 2017: 1-9 - [c17]Sissi Xiaoxiao Wu, Hoi-To Wai, Anna Scaglione, Neil A. Jacklin:
The Power-Oja method for decentralized subspace estimation/tracking. ICASSP 2017: 3524-3528 - [c16]Hoi-To Wai, Anna Scaglione, Jean Lafond, Eric Moulines:
Fast and privacy preserving distributed low-rank regression. ICASSP 2017: 4451-4455 - [i8]Hoi-To Wai, Wei Shi, Angelia Nedic, Anna Scaglione:
Curvature-aided Incremental Aggregated Gradient Method. CoRR abs/1710.08936 (2017) - 2016
- [j5]Hoi-To Wai, Anna Scaglione, Amir Leshem:
Active Sensing of Social Networks. IEEE Trans. Signal Inf. Process. over Networks 2(3): 406-419 (2016) - [j4]Reinhard Gentz, Sissi Xiaoxiao Wu, Hoi-To Wai, Anna Scaglione, Amir Leshem:
Data Injection Attacks in Randomized Gossiping. IEEE Trans. Signal Inf. Process. over Networks 2(4): 523-538 (2016) - [j3]Hoi-To Wai, Qiang Li, Wing-Kin Ma:
Discrete Sum Rate Maximization for MISO Interference Broadcast Channels: Convex Approximations and Efficient Algorithms. IEEE Trans. Signal Process. 64(16): 4323-4336 (2016) - [c15]Hoi-To Wai, Anna Scaglione, Jean Lafond, Eric Moulines:
A projection-free decentralized algorithm for non-convex optimization. GlobalSIP 2016: 475-479 - [c14]Sissi Xiaoxiao Wu, Hoi-To Wai, Anna Scaglione:
Data mining the underlying trust in the US Congress. GlobalSIP 2016: 1202-1206 - [c13]Hoi-To Wai, Anna Scaglione, Amir Leshem:
Active online learning of trusts in social networks. ICASSP 2016: 4139-4143 - [c12]Jean Lafond, Hoi-To Wai, Eric Moulines:
D-FW: Communication efficient distributed algorithms for high-dimensional sparse optimization. ICASSP 2016: 4144-4148 - [i7]Hoi-To Wai, Anna Scaglione, Amir Leshem:
Active Sensing of Social Networks. CoRR abs/1601.05834 (2016) - [i6]Hoi-To Wai, Jean Lafond, Anna Scaglione, Eric Moulines:
Decentralized Projection-free Optimization for Convex and Non-convex Problems. CoRR abs/1612.01216 (2016) - [i5]Hoi-To Wai, Anna Scaglione, Uzi Harush, Baruch Barzel, Amir Leshem:
RIDS: Robust Identification of Sparse Gene Regulatory Networks from Perturbation Experiments. CoRR abs/1612.06565 (2016) - 2015
- [j2]Hoi-To Wai, Anna Scaglione:
Consensus on State and Time: Decentralized Regression With Asynchronous Sampling. IEEE Trans. Signal Process. 63(11): 2972-2985 (2015) - [c11]Reinhard Gentz, Hoi-To Wai, Anna Scaglione, Amir Leshem:
Detection of data injection attacks in decentralized learning. ACSSC 2015: 350-354 - [c10]Hoi-To Wai, Anna Scaglione, Amir Leshem:
Identifying trust in social networks with stubborn agents, with application to market decisions. Allerton 2015: 747-754 - [c9]Hoi-To Wai, Anna Scaglione, Amir Leshem:
The social system identification problem. CDC 2015: 406-411 - [c8]Hoi-To Wai, Tsung-Hui Chang, Anna Scaglione:
A consensus-based decentralized algorithm for non-convex optimization with application to dictionary learning. ICASSP 2015: 3546-3550 - [i4]Hoi-To Wai, Anna Scaglione, Amir Leshem:
The Social System Identification Problem. CoRR abs/1503.07288 (2015) - [i3]Jean Lafond, Hoi-To Wai, Eric Moulines:
Convergence Analysis of a Stochastic Projection-free Algorithm. CoRR abs/1510.01171 (2015) - [i2]Mahnoosh Alizadeh, Hoi-To Wai, Mainak Chowdhury, Andrea J. Goldsmith, Anna Scaglione, Tara Javidi:
Joint Management of Electric Vehicles in Coupled Power and Transportation Networks. CoRR abs/1511.03611 (2015) - 2014
- [c7]Hoi-To Wai, Anna Scaglione:
Decentralized regression with asynchronous sub-Nyquist sampling. ACSSC 2014: 798-802 - [c6]Mahnoosh Alizadeh, Hoi-To Wai, Anna Scaglione, Andrea J. Goldsmith, Yueyue Fan, Tara Javidi:
Optimized path planning for electric vehicle routing and charging. Allerton 2014: 25-32 - [c5]Hoi-To Wai, Anna Scaglione:
State estimation with sampling offsets in Wide Area Measurement Systems. SAM 2014: 49-52 - 2013
- [j1]Qiang Li, Mingyi Hong, Hoi-To Wai, Ya-Feng Liu, Wing-Kin Ma, Zhi-Quan Luo:
Transmit Solutions for MIMO Wiretap Channels using Alternating Optimization. IEEE J. Sel. Areas Commun. 31(9): 1714-1727 (2013) - [c4]Qiang Li, Mingyi Hong, Hoi-To Wai, Wing-Kin Ma, Ya-Feng Liu, Zhi-Quan Luo:
An alternating optimization algorithm for the MIMO secrecy capacity problem under sum power and per-antenna power constraints. ICASSP 2013: 4359-4363 - [c3]Hoi-To Wai, Qiang Li, Wing-Kin Ma:
A convex approximation method for multiuser MISO sum rate maximization under discrete rate constraints. ICASSP 2013: 4759-4763 - 2012
- [c2]Hoi-To Wai, Wing-Kin Ma:
A decentralized method for joint admission control and beamforming in coordinated multicell downlink. ACSCC 2012: 559-563 - [i1]Hoi-To Wai, Wing-Kin Ma:
A Decentralized Method for Joint Admission Control and Beamforming in Coordinated Multicell Downlink. CoRR abs/1211.4665 (2012) - 2011
- [c1]Hoi-To Wai, Wing-Kin Ma, Anthony Man-Cho So:
Cheap semidefinite relaxation MIMO detection using row-by-row block coordinate descent. ICASSP 2011: 3256-3259
Coauthor Index
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