default search action
Hoi-To Wai
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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
Distributed Optimization With Personalization: A Flexible Algorithmic Framework. IEEE Trans. Autom. Control. 69(10): 6715-6730 (2024) - [j29]Hang Liu
Blind Graph Matching Using Graph Signals. IEEE Trans. Signal Process. 72: 1766-1781 (2024) - [j28]Chenyue Zhang
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 - [i41]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) - [i40]Qiang Li, Michal Yemini, Hoi-To Wai:
Clipped SGD Algorithms for Privacy Preserving Performative Prediction: Bias Amplification and Remedies. CoRR abs/2404.10995 (2024) - [i39]Jiamin Cai, Chenyue Zhang, Hoi-To Wai:
Optimal Pricing for Linear-Quadratic Games with Nonlinear Interaction Between Agents. CoRR abs/2405.01047 (2024) - [i38]Xiaolu Wang, Yuchang Sun, Hoi-To Wai, Jun Zhang:
Dual-Delayed Asynchronous SGD for Arbitrarily Heterogeneous Data. CoRR abs/2405.16966 (2024) - [i37]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) - [i36]Chung-Yiu Yau, Haoming Liu, Hoi-To Wai:
Fully Stochastic Primal-dual Gradient Algorithm for Non-convex Optimization on Random Graphs. CoRR abs/2410.18774 (2024) - [i35]Chenyue Zhang, Shangyuan Liu, Hoi-To Wai, Anthony Man-Cho So:
Network Games Induced Prior for Graph Topology Learning. CoRR abs/2410.24095 (2024) - 2023
- [j27]Mingyi Hong, Hoi-To Wai
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
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
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
Community Inference From Partially Observed Graph Signals: Algorithms and Analysis. IEEE Trans. Signal Process. 70: 2136-2151 (2022) - [j22]Yiran He
Detecting Central Nodes From Low-Rank Excited Graph Signals via Structured Factor Analysis. IEEE Trans. Signal Process. 70: 2416-2430 (2022) - [j21]Berkay Turan
Robust Distributed Optimization With Randomly Corrupted Gradients. IEEE Trans. Signal Process. 70: 3484-3498 (2022) - [j20]Yiran He
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
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
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
Accelerating incremental gradient optimization with curvature information. Comput. Optim. Appl. 76(2): 347-380 (2020) - [j17]Tsung-Hui Chang
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
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
Blind Community Detection From Low-Rank Excitations of a Graph Filter. IEEE Trans. Signal Process. 68: 436-451 (2020) - [j14]Ruiyuan Wu
Hybrid Inexact BCD for Coupled Structured Matrix Factorization in Hyperspectral Super-Resolution. IEEE Trans. Signal Process. 68: 1728-1743 (2020) - [j13]Xiao Fu
Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization. IEEE Trans. Signal Process. 68: 2170-2185 (2020) - [j12]T. Mitchell Roddenberry
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
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
Retail and Wholesale Electricity Pricing Considering Electric Vehicle Mobility. IEEE Trans. Control. Netw. Syst. 6(1): 249-260 (2019) - [j10]Hoi-To Wai
Joint Network Topology and Dynamics Recovery From Perturbed Stationary Points. IEEE Trans. Signal Process. 67(17): 4582-4596 (2019) - [c37]César A. Uribe
Resilient Distributed Optimization Algorithms for Resource Allocation. CDC 2019: 8341-8346 - [c36]Belhal Karimi, Blazej Miasojedow
Non-asymptotic Analysis of Biased Stochastic Approximation Scheme. COLT 2019: 1944-1974 - [c35]Michael T. Schaub
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
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
A Review of Distributed Algorithms for Principal Component Analysis. Proc. IEEE 106(8): 1321-1340 (2018) - [j8]Sissi Xiaoxiao Wu
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
SUCAG: Stochastic Unbiased Curvature-aided Gradient Method for Distributed Optimization. CDC 2018: 1751-1756 - [c29]Hoi-To Wai, Anna Scaglione
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
Hi, Bcd! Hybrid Inexact Block Coordinate Descent for Hyperspectral Super-Resolution. ICASSP 2018: 2426-2430 - [c27]Sissi Xiaoxiao Wu, Hoi-To Wai, Anna Scaglione
Data Injection Attack on Decentralized Optimization. ICASSP 2018: 3644-3648 - [c26]Hoi-To Wai, Santiago Segarra
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
Detecting and Localizing Adversarial Nodes Usig Neural Networks. SPAWC 2018: 1-5 - [c21]Nikhil Ravi
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
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
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
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
The Power-Oja method for decentralized subspace estimation/tracking. ICASSP 2017: 3524-3528 - [c16]Hoi-To Wai, Anna Scaglione
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
Active Sensing of Social Networks. IEEE Trans. Signal Inf. Process. over Networks 2(3): 406-419 (2016) - [j4]Reinhard Gentz
Data Injection Attacks in Randomized Gossiping. IEEE Trans. Signal Inf. Process. over Networks 2(4): 523-538 (2016) - [j3]Hoi-To Wai
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
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
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
Detection of data injection attacks in decentralized learning. ACSSC 2015: 350-354 - [c10]Hoi-To Wai, Anna Scaglione
Identifying trust in social networks with stubborn agents, with application to market decisions. Allerton 2015: 747-754 - [c9]Hoi-To Wai, Anna Scaglione
The social system identification problem. CDC 2015: 406-411 - [c8]Hoi-To Wai, Tsung-Hui Chang
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
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
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
Cheap semidefinite relaxation MIMO detection using row-by-row block coordinate descent. ICASSP 2011: 3256-3259
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-08 01:29 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: