On energy efficiency maximization of AF MIMO relay systems with antenna selection (Invited Paper). - Xingyu Zhou 001; Bo Bai 001; Wei Chen 002; Yuxing Han 001 (GlobalSIP, 2014)

Energy efficient transmission for DF MIMO relay systems with antenna selection. - Xingyu Zhou 001; Bo Bai 001; Wei Chen 002; Yuxing Han 001 (GlobalSIP, 2014)

An iterative algorithm for joint antenna selection and power adaptation in energy efficient MIMO. - Xingyu Zhou 001; Bo Bai 001; Wei Chen 002 (ICC, 2014)

A Low Complexity Energy Efficiency Maximization Method for Multiuser Amplify-and-Forward MIMO Relay Systems With a Holistic Power Model. - Xingyu Zhou 001; Bo Bai 001; Wei Chen 002 (IEEE Commun. Lett., 2014)

Iterative Antenna Selection for Decode-and-Forward MIMO Relay Systems Under a Holistic Power Model. - Xingyu Zhou 001; Bo Bai 001; Wei Chen 002 (IEEE Commun. Lett., 2014)

Iterative Antenna Selection for Multi-Stream MIMO under a Holistic Power Model. - Xingyu Zhou 001; Bo Bai 001; Wei Chen 002 (IEEE Wirel. Commun. Lett., 2014)

Energy efficient relay antenna selection for AF MIMO two-way relay channels. - Xingyu Zhou 001; Bo Bai 001; Wei Chen 002 (ICC, 2015)

How Many Antennas Should Be Activated in Keyhole Channels Under a Holistic Power Model. - Tian Tong; Xingyu Zhou 001; Bo Bai 001; Wei Chen 002 (IEEE Commun. Lett., 2015)

Greedy Relay Antenna Selection for Sum Rate Maximization in Amplify-and-Forward MIMO Two-Way Relay Channels Under a Holistic Power Model. - Xingyu Zhou 001; Bo Bai 001; Wei Chen 002 (IEEE Commun. Lett., 2015)

Designing Low-Complexity Heavy-Traffic Delay-Optimal Load Balancing Schemes: Theory to Algorithms. - Xingyu Zhou 001; Fei Wu 008; Jian Tan 001; Yin Sun; Ness B. Shroff (Proc. ACM Meas. Anal. Comput. Syst., 2017)

Flexible load balancing with multi-dimensional state-space collapse: Throughput and heavy-traffic delay optimality. - Xingyu Zhou 001; Jian Tan 001; Ness B. Shroff (Perform. Evaluation, 2018)

Heavy-traffic Delay Optimality in Pull-based Load Balancing Systems: Necessary and Sufficient Conditions. - Xingyu Zhou 001; Jian Tan 001; Ness B. Shroff (Proc. ACM Meas. Anal. Comput. Syst., 2018)

Degree of Queue Imbalance: Overcoming the Limitation of Heavy-traffic Delay Optimality in Load Balancing Systems. - Xingyu Zhou 001; Fei Wu 008; Jian Tan 001; Kannan Srinivasan 001; Ness B. Shroff (Proc. ACM Meas. Anal. Comput. Syst., 2018)

Asymptotically Optimal Load Balancing: Theory and Algorithms. - Xingyu Zhou 001 (SIGMETRICS Perform. Evaluation Rev., 2019)

A Note on Stein's Method for Heavy-Traffic Analysis. - Xingyu Zhou 001; Ness B. Shroff (CoRR, 2020)

A Note on Load Balancing in Many-Server Heavy-Traffic Regime. - Xingyu Zhou 001; Ness B. Shroff (CoRR, 2020)

Multi-Armed Bandits with Local Differential Privacy. - Wenbo Ren; Xingyu Zhou 001; Jia Liu 002; Ness B. Shroff (CoRR, 2020)

Optimal Load Balancing in Bipartite Graphs. - Wentao Weng; Xingyu Zhou 001; R. Srikant 001 (CoRR, 2020)

Optimal Load Balancing with Locality Constraints. - Wentao Weng; Xingyu Zhou 001; R. Srikant 001 (Proc. ACM Meas. Anal. Comput. Syst., 2020)

Local Differential Privacy for Bayesian Optimization. - Xingyu Zhou 001; Jian Tan (AAAI, 2021)

No-Regret Algorithms for Time-Varying Bayesian Optimization. - Xingyu Zhou 001; Ness B. Shroff (CISS, 2021)

Adaptive Control of Differentially Private Linear Quadratic Systems. - Sayak Ray Chowdhury; Xingyu Zhou 001; Ness B. Shroff (ISIT, 2021)

Asymptotically optimal load balancing in large-scale heterogeneous systems with multiple dispatchers. - Xingyu Zhou 001; Ness B. Shroff; Adam Wierman (Perform. Evaluation, 2021)

Differentially Private Regret Minimization in Episodic Markov Decision Processes. - Sayak Ray Chowdhury; Xingyu Zhou 001 (AAAI, 2022)

Weighted Gaussian Process Bandits for Non-stationary Environments. - Yuntian Deng; Xingyu Zhou 001; Baekjin Kim; Ambuj Tewari; Abhishek Gupta 002; Ness B. Shroff (AISTATS, 2022)

Shuffle Private Linear Contextual Bandits. - Sayak Ray Chowdhury; Xingyu Zhou 001 (ICML, 2022)

On Kernelized Multi-Armed Bandits with Constraints. - Xingyu Zhou 001; Bo Ji 001 (NeurIPS, 2022)

Provably Efficient Model-Free Constrained RL with Linear Function Approximation. - Arnob Ghosh; Xingyu Zhou 001; Ness B. Shroff (NeurIPS, 2022)

Interference Constrained Beam Alignment for Time-Varying Channels via Kernelized Bandits. - Yuntian Deng; Xingyu Zhou 001; Arnob Ghosh; Abhishek Gupta 002; Ness B. Shroff (WiOpt, 2022)

Differentially Private Linear Bandits with Partial Distributed Feedback. - Fengjiao Li; Xingyu Zhou 001; Bo Ji 001 (WiOpt, 2022)

Differentially Private Reinforcement Learning with Linear Function Approximation. - Xingyu Zhou 001 (Proc. ACM Meas. Anal. Comput. Syst., 2022)

Provably Efficient Model-Free Algorithms for Non-stationary CMDPs. - Honghao Wei; Arnob Ghosh; Ness B. Shroff; Lei Ying 001; Xingyu Zhou 001 (AISTATS, 2023)

Distributed Differential Privacy in Multi-Armed Bandits. - Sayak Ray Chowdhury; Xingyu Zhou 001 (ICLR, 2023)

Achieving Sub-linear Regret in Infinite Horizon Average Reward Constrained MDP with Linear Function Approximation. - Arnob Ghosh; Xingyu Zhou 001; Ness B. Shroff (ICLR, 2023)

Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards. - Yulian Wu; Xingyu Zhou 001; Sayak Ray Chowdhury; Di Wang 015 (ICML, 2023)

On Private and Robust Bandits. - Yulian Wu; Xingyu Zhou 001; Youming Tao 001; Di Wang 015 (NeurIPS, 2023)

(Private) Kernelized Bandits with Distributed Biased Feedback. - Fengjiao Li; Xingyu Zhou 001; Bo Ji 001 (Proc. ACM Meas. Anal. Comput. Syst., 2023)

Differentially Private Reward Estimation with Preference Feedback. - Sayak Ray Chowdhury; Xingyu Zhou 001; Nagarajan Natarajan (AISTATS, 2024)

Towards Achieving Sub-linear Regret and Hard Constraint Violation in Model-free RL. - Arnob Ghosh; Xingyu Zhou 001; Ness B. Shroff (AISTATS, 2024)

On Differentially Private Federated Linear Contextual Bandits. - Xingyu Zhou 001; Sayak Ray Chowdhury (ICLR, 2024)

Distributed Linear Bandits With Differential Privacy. - Fengjiao Li; Xingyu Zhou 001; Bo Ji 001 (IEEE Trans. Netw. Sci. Eng., 2024)