Qing Zhao

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 69

Top Venues

CoRR

IEEE Trans. Signal Process.

ICASSP

Allerton

Publications

Xinyi Wang, Lang Tong, Qing Zhao
Generative Probabilistic Time Series Forecasting and Applications in Grid Operations. CISS (2024)
Lang Tong, Xinyi Wang, Qing Zhao
Grid Monitoring and Protection with Continuous Point-on-Wave Measurements and Generative AI. CoRR (2024)
Xinyi Wang, Lang Tong, Qing Zhao
Generative Probabilistic Time Series Forecasting and Applications in Grid Operations. CoRR (2024)
Sudeep Salgia, Xinyi Wang, Qing Zhao, Lang Tong
Adaptive Binning Coincidence Test for Uniformity Testing. IEEE Trans. Signal Process. 72 (2024)
Nikola Pavlovic, Sudeep Salgia, Qing Zhao
Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness. CoRR (2024)
Sudeep Salgia, Tamir Gabay, Qing Zhao, Kobi Cohen
A Communication-Efficient Adaptive Algorithm for Federated Learning Under Cumulative Regret. IEEE Trans. Signal Process. 72 (2024)
Minjae Jeon, Lang Tong, Qing Zhao
On the Optimality of Procrastination Policy for EV Charging Under Net Energy Metering. CDC (2023)
Sudeep Salgia, Karthik Murthy, Qing Zhao, Tamir Gabay, Kobi Cohen
A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret. CoRR (2023)
Sudeep Salgia, Sattar Vakili, Qing Zhao
Collaborative Learning in Kernel-Based Bandits for Distributed Users. IEEE Trans. Signal Process. 71 (2023)
Dan Ben Ami, Kobi Cohen, Qing Zhao
Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach. CoRR (2023)
Dan Ben Ami, Kobi Cohen, Qing Zhao
Client Selection for Generalization in Accelerated Federated Learning: A Bandit Approach. ICASSP (2023)
Sudeep Salgia, Qing Zhao
Distributed Linear Bandits under Communication Constraints. ICML (2023)
Sudeep Salgia, Sattar Vakili, Qing Zhao
Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency. CoRR (2023)
Minjae Jeon, Lang Tong, Qing Zhao
On the Optimality of Procrastination Policy for EV charging under Net Energy Metering. CoRR (2023)
Boshuang Huang, Sudeep Salgia, Qing Zhao
Disagreement-Based Active Learning in Online Settings. IEEE Trans. Signal Process. 70 (2022)
Sudeep Salgia, Sattar Vakili, Qing Zhao
Kernel-based Federated Learning with Personalization. CoRR (2022)
Sudeep Salgia, Qing Zhao
Distributed Linear Bandits under Communication Constraints. CoRR (2022)
Minjae Jeon, Lang Tong, Qing Zhao
Co-optimizing Consumption and EV Charging under Net Energy Metering. CoRR (2022)
Xinyi Wang, Mei-jen Lee, Qing Zhao, Lang Tong
Novelty Detection in Time Series via Weak Innovations Representation: A Deep Learning Approach. CoRR (2022)
Ahmed S. Alahmed, Lang Tong, Qing Zhao
Co-optimizing Distributed Energy Resources in Linear Complexity under Net Energy Metering. CoRR (2022)
Sudeep Salgia, Sattar Vakili, Qing Zhao
Provably and Practically Efficient Neural Contextual Bandits. CoRR (2022)
Sudeep Salgia, Qing Zhao, Lang Tong
As Easy as ABC: Adaptive Binning Coincidence Test for Uniformity Testing. CoRR (2021)
Xiao Xu, Qing Zhao
Memory-Constrained No-Regret Learning in Adversarial Multi-Armed Bandits. IEEE Trans. Signal Process. 69 (2021)
Sudeep Salgia, Qing Zhao
An Order-Optimal Adaptive Test Plan for Noisy Group Testing Under Unknown Noise Models. ICASSP (2021)
Tomer Gafni, Kobi Cohen, Qing Zhao
Searching for Unknown Anomalies in Hierarchical Data Streams. IEEE Signal Process. Lett. 28 (2021)
Chao Wang, Kobi Cohen, Qing Zhao
Information-Directed Random Walk for Rare Event Detection in Hierarchical Processes. IEEE Trans. Inf. Theory 67 (2) (2021)
Sudeep Salgia, Sattar Vakili, Qing Zhao
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance. NeurIPS (2021)
Xiao Xu, Qing Zhao
Distributed No-Regret Learning in Multi-Agent Systems. CoRR (2020)
Sudeep Salgia, Qing Zhao, Sattar Vakili
Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization. ICML (2020)
Xiao Xu, Sattar Vakili, Qing Zhao, Ananthram Swami
Multi-Armed Bandits on Partially Revealed Unit Interval Graphs. IEEE Trans. Netw. Sci. Eng. 7 (3) (2020)
Sudeep Salgia, Sattar Vakili, Qing Zhao
A Computationally Efficient Approach to Black-box Optimization using Gaussian Process Models. CoRR (2020)
Sudeep Salgia, Qing Zhao, Sattar Vakili
Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization. CoRR (2020)
Soheil Eshghi, Victor M. Preciado, Saswati Sarkar, Santosh S. Venkatesh, Qing Zhao, Raissa M. D'Souza, Ananthram Swami
Spread, Then Target, and Advertise in Waves: Optimal Budget Allocation Across Advertising Channels. IEEE Trans. Netw. Sci. Eng. 7 (2) (2020)
Bar Hemo, Tomer Gafni, Kobi Cohen, Qing Zhao
Searching for Anomalies Over Composite Hypotheses. IEEE Trans. Signal Process. 68 (2020)
Xiao Xu, Qing Zhao
Memory-Constrained No-Regret Learning in Adversarial Bandits. CoRR (2020)
Xiao Xu, Qing Zhao
Distributed No-Regret Learning in Multiagent Systems: Challenges and Recent Developments. IEEE Signal Process. Mag. 37 (3) (2020)
Boshuang Huang, Qing Zhao
Disagreement-based Active Learning in Online Settings. CoRR (2019)
Sattar Vakili, Alexis Boukouvalas, Qing Zhao
Decision Variance in Risk-Averse Online Learning. CDC (2019)
Boshuang Huang, Kobi Cohen, Qing Zhao
Active Anomaly Detection in Heterogeneous Processes. IEEE Trans. Inf. Theory 65 (4) (2019)
Andrey Gurevich, Kobi Cohen, Qing Zhao
Sequential Anomaly Detection Under a Nonlinear System Cost. IEEE Trans. Signal Process. 67 (14) (2019)
Sattar Vakili, Qing Zhao
A Random Walk Approach to First-Order Stochastic Convex Optimization. CoRR (2019)
Sattar Vakili, Sudeep Salgia, Qing Zhao
Stochastic Gradient Descent on a Tree: an Adaptive and Robust Approach to Stochastic Convex Optimization. Allerton (2019)
Sattar Vakili, Qing Zhao
A Random Walk Approach to First-Order Stochastic Convex Optimization. ISIT (2019)
Bar Hemo, Tomer Gafni, Kobi Cohen, Qing Zhao
Searching for Anomalies over Composite Hypotheses. CoRR (2019)
Xiao Xu, Qing Zhao, Ananthram Swami
Learning Ordinal Information Under Bipartite Stochastic Block Models. MILCOM (2018)
Xiao Xu, Qing Zhao, Ananthram Swami
Learning from Dissimilarity. ACSSC (2018)
Sevi Baltaoglu, Lang Tong, Qing Zhao
Algorithmic Bidding for Virtual Trading in Electricity Markets. CoRR (2018)
Xiao Xu, Sattar Vakili, Qing Zhao, Ananthram Swami
Multi-Armed Bandits on Unit Interval Graphs. CoRR (2018)
Sattar Vakili, Qing Zhao, Chang Liu, Chen-Nee Chuah
Hierarchical Heavy Hitter Detection Under Unknown Models. ICASSP (2018)
Chao Wang, Qing Zhao, Kobi Cohen
Dynamic Search on a Tree with Information-Directed Random Walk. SPAWC (2018)
Chao Wang, Qing Zhao, Chen-Nee Chuah
Optimal Nested Test Plan for Combinatorial Quantitative Group Testing. IEEE Trans. Signal Process. 66 (4) (2018)
Boshuang Huang, Kobi Cohen, Qing Zhao
Active Anomaly Detection in Heterogeneous Processes. ICASSP (2018)
Soheil Eshghi, Victor M. Preciado, Saswati Sarkar, Santosh S. Venkatesh, Qing Zhao, Raissa M. D'Souza, Ananthram Swami
Spread, then Target, and Advertise in Waves: Optimal Capital Allocation Across Advertising Channels. CoRR (2017)
Soheil Eshghi, Victor M. Preciado, Saswati Sarkar, Santosh S. Venkatesh, Qing Zhao, Raissa M. D'Souza, Ananthram Swami
Spread, then target, and advertise in waves: Optimal capital allocation across advertising channels. ITA (2017)
Boshuang Huang, Kobi Cohen, Qing Zhao
Sequential Active Detection of Anomalies in Heterogeneous Processes. CoRR (2017)
Sattar Vakili, Qing Zhao, Chang Liu, Chen-Nee Chuah
Anomaly Detection in Hierarchical Data Streams under Unknown Models. CoRR (2017)
M. Sevi Baltaoglu, Lang Tong, Qing Zhao
Online Learning of Optimal Bidding Strategy in Repeated Multi-Commodity Auctions. NIPS (2017)
Sevi Baltaoglu, Lang Tong, Qing Zhao
Online Learning of Optimal Bidding Strategy in Repeated Multi-Commodity Auctions. CoRR (2017)
Andrey Gurevich, Kobi Cohen, Qing Zhao
Anomaly detection under a nonlinear system cost objective function. Allerton (2017)
Chao Wang, Kobi Cohen, Qing Zhao
Active hypothesis testing on a tree: Anomaly detection under hierarchical observations. ISIT (2017)
Xiao Xu, Sattar Vakili, Qing Zhao, Ananthram Swami
Online learning with side information. MILCOM (2017)
Chao Wang, Qing Zhao, Kobi Cohen
Active Hypothesis Testing on A Tree: Anomaly Detection under Hierarchical Observations. CoRR (2016)
Sattar Vakili, Qing Zhao
Risk-Averse Multi-Armed Bandit Problems Under Mean-Variance Measure. IEEE J. Sel. Top. Signal Process. 10 (6) (2016)
Sattar Vakili, Qing Zhao
Risk-Averse Multi-Armed Bandit Problems under Mean-Variance Measure. CoRR (2016)
Bar Hemo, Kobi Cohen, Qing Zhao
Asymptotically optimal search of unknown anomalies. ISSPIT (2016)
Sevi Baltaoglu, Lang Tong, Qing Zhao
Online learning and optimization of Markov jump linear models. ICASSP (2016)
Jianhang Gao, Qing Zhao, Ananthram Swami
The Minimum Information Dominating Set for Opinion Sampling in Social Networks. IEEE Trans. Netw. Sci. Eng. 3 (4) (2016)
Sevi Baltaoglu, Lang Tong, Qing Zhao
Online Learning and Optimization of Markov Jump Affine Models. CoRR (2016)
Sevi Baltaoglu, Lang Tong, Qing Zhao
Online learning and pricing for demand response in smart distribution networks. SSP (2016)
Jianhang Gao, Qing Zhao, Ananthram Swami
The Thinnest Path Problem. IEEE/ACM Trans. Netw. 23 (4) (2015)
Chao Wang, Qing Zhao, Chen-Nee Chuah
Group testing under sum observations for heavy hitter detection. ITA (2015)
Kobi Cohen, Qing Zhao
Asymptotically Optimal Anomaly Detection via Sequential Testing. IEEE Trans. Signal Process. 63 (11) (2015)
Jianhang Gao, Qing Zhao, Ananthram Swami
Minimum information dominating set for critical sampling over graphs. ICASSP (2015)
Sattar Vakili, Qing Zhao, Lang Tong
Bayesian quickest short-term voltage instability detection in power systems. CDC (2015)
Sattar Vakili, Qing Zhao, Lang Tong
Quickest detection of short-term voltage instability with PMU measurements. ICASSP (2015)
Kobi Cohen, Qing Zhao
Active Hypothesis Testing for Anomaly Detection. IEEE Trans. Inf. Theory 61 (3) (2015)
Sattar Vakili, Qing Zhao
Risk-averse online learning under mean-variance measures. ICASSP (2015)
Jianhang Gao, Qing Zhao, Wei Ren, Ananthram Swami, Ram Ramanathan, Amotz Bar-Noy
Dynamic Shortest Path Algorithms for Hypergraphs. IEEE/ACM Trans. Netw. 23 (6) (2015)
Sattar Vakili, Qing Zhao
Mean-variance and value at risk in multi-armed bandit problems. Allerton (2015)
Chao Wang, Qing Zhao, Chen-Nee Chuah
Group Testing under Sum Observations for Heavy Hitter Detection. CoRR (2014)
Jianhang Gao, Qing Zhao, Ananthram Swami
Minimum Information Dominating Set for Opinion Sampling. CoRR (2014)
Kobi Cohen, Qing Zhao
Asymptotically Optimal Sequential Tests for Anomaly Detection: Switching with Memory. CoRR (2014)
Kobi Cohen, Qing Zhao
Quickest anomaly detection: A case of active hypothesis testing. ITA (2014)
Kobi Cohen, Qing Zhao, Anna Scaglione
Restless multi-armed bandits under time-varying activation constraints for dynamic spectrum access. ACSSC (2014)
Kobi Cohen, Qing Zhao
Active Hypothesis Testing for Quickest Anomaly Detection. CoRR (2014)
Kobi Cohen, Qing Zhao
Anomaly detection over independent processes: Switching with memory. Allerton (2014)
Kobi Cohen, Qing Zhao, Ananthram Swami
Optimal Index Policies for Anomaly Localization in Resource-Constrained Cyber Systems. CoRR (2014)
Wei Ren, Qing Zhao, Ananthram Swami
Temporal Traffic Dynamics Improve the Connectivity of Ad Hoc Cognitive Radio Networks. IEEE/ACM Trans. Netw. 22 (1) (2014)
Sattar Vakili, Qing Zhao, Yuan Zhou
Time-varying stochastic multi-armed bandit problems. ACSSC (2014)
Kobi Cohen, Qing Zhao, Ananthram Swami
Optimal Index Policies for Anomaly Localization in Resource-Constrained Cyber Systems. IEEE Trans. Signal Process. 62 (16) (2014)
Sattar Vakili, Keqin Liu, Qing Zhao
Deterministic Sequencing of Exploration and Exploitation for Multi-Armed Bandit Problems. IEEE J. Sel. Top. Signal Process. 7 (5) (2013)
Lin Li, Anna Scaglione, Ananthram Swami, Qing Zhao
Consensus, Polarization and Clustering of Opinions in Social Networks. IEEE J. Sel. Areas Commun. 31 (6) (2013)
Wei Ren, Qing Zhao, Ram Ramanathan, Jianhang Gao, Ananthram Swami, Amotz Bar-Noy, Matthew P. Johnson, Prithwish Basu
Broadcasting in multi-radio multi-channel wireless networks using simplicial complexes. Wirel. Networks 19 (6) (2013)
Keqin Liu, Qing Zhao, Ananthram Swami
Dynamic probing for intrusion detection under resource constraints. ICC (2013)
Kobi Cohen, Qing Zhao, Ananthram Swami
Optimal index policies for quickest localization of anomaly in cyber networks. GlobalSIP (2013)
Qing Zhao, Edwin K. P. Chong, Bhaskar Krishnamachari, Amir Leshem, Sean P. Meyn, Venugopal V. Veeravalli
Introduction to the Issue on Learning-Based Decision Making in Dynamic Systems Under Uncertainty. IEEE J. Sel. Top. Signal Process. 7 (5) (2013)
Pouya Tehrani, Qing Zhao, Tara Javidi
Opportunistic routing under unknown stochastic models. CAMSAP (2013)
Sattar Vakili, Qing Zhao
Achieving complete learning in Multi-Armed Bandit problems. ACSSC (2013)
Sattar Vakili, Qing Zhao
Distributed node-weighted connected dominating set problems. ACSSC (2013)
Jianhang Gao, Qing Zhao, Ananthram Swami
The Thinnest Path Problem CoRR (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Qing Zhao