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ORCIDXingyu Zhou 0001
Person information
- affiliation: Wayne State University, Detroit, MI, USA
- affiliation (former): Ohio State University, Columbus, OH, USA
- affiliation (former): Tsinghua University, Beijing, China
Other persons with the same name
- Xingyu Zhou — disambiguation page
- Xingyu Zhou 0002
![[0000-0003-3439-4450]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3439-4450")
— Army Engineering University of PLA, Nanjing, China - Xingyu Zhou 0003 — Huazhong Agricultural University, Wuhan, China
- Xingyu Zhou 0004 — Harbin Institute of Technology, Harbin, China
- Xingyu Zhou 0006 — Nanjing University of Posts and Telecommunications, Nanjing, China
- Xingyu Zhou 0007 — McGill University, Montreal, QC, Canada
- Xingyu Zhou 0008 — Nanjing University of Science and Technology, Nanjing, China (and 1 more)
- Xingyu Zhou 0009 — Beijing Institute of Technology, Beijing, China
- Xingyu Zhou 0010 — Vanderbilt University, Nashville, TN, USA
- Xingyu Zhou 0011 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China (and 1 more)
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2020 – today
- 2024
[j17]Fengjiao Li, Xingyu Zhou, Bo Ji:
Distributed Linear Bandits With Differential Privacy. IEEE Trans. Netw. Sci. Eng. 11(3): 3161-3173 (2024)- [c28]Arnob Ghosh, Xingyu Zhou, Ness B. Shroff:
Towards Achieving Sub-linear Regret and Hard Constraint Violation in Model-free RL. AISTATS 2024: 1054-1062 - [c27]Sayak Ray Chowdhury, Xingyu Zhou, Nagarajan Natarajan:
Differentially Private Reward Estimation with Preference Feedback. AISTATS 2024: 4843-4851 - [c26]Xingyu Zhou, Sayak Ray Chowdhury:
On Differentially Private Federated Linear Contextual Bandits. ICLR 2024 - 2023
- [j16]Fengjiao Li, Xingyu Zhou, Bo Ji:
(Private) Kernelized Bandits with Distributed Biased Feedback. Proc. ACM Meas. Anal. Comput. Syst. 7(1): 5:1-5:47 (2023) - [c25]Honghao Wei, Arnob Ghosh, Ness B. Shroff, Lei Ying, Xingyu Zhou:
Provably Efficient Model-Free Algorithms for Non-stationary CMDPs. AISTATS 2023: 6527-6570 - [c24]Sayak Ray Chowdhury, Xingyu Zhou:
Distributed Differential Privacy in Multi-Armed Bandits. ICLR 2023 - [c23]Arnob Ghosh, Xingyu Zhou, Ness B. Shroff:
Achieving Sub-linear Regret in Infinite Horizon Average Reward Constrained MDP with Linear Function Approximation. ICLR 2023 - [c22]Yulian Wu, Xingyu Zhou, Sayak Ray Chowdhury, Di Wang:
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards. ICML 2023: 37880-37918 - [c21]Yulian Wu, Xingyu Zhou, Youming Tao, Di Wang:
On Private and Robust Bandits. NeurIPS 2023 - [c20]Fengjiao Li, Xingyu Zhou, Bo Ji:
(Private) Kernelized Bandits with Distributed Biased Feedback. SIGMETRICS (Abstracts) 2023: 61-62 - [i26]Fengjiao Li, Xingyu Zhou, Bo Ji:
(Private) Kernelized Bandits with Distributed Biased Feedback. CoRR abs/2301.12061 (2023) - [i25]Yulian Wu, Xingyu Zhou, Youming Tao, Di Wang:
On Private and Robust Bandits. CoRR abs/2302.02526 (2023) - [i24]Xingyu Zhou, Sayak Ray Chowdhury:
On Differentially Private Federated Linear Contextual Bandits. CoRR abs/2302.13945 (2023) - [i23]Honghao Wei, Arnob Ghosh, Ness B. Shroff, Lei Ying, Xingyu Zhou:
Provably Efficient Model-Free Algorithms for Non-stationary CMDPs. CoRR abs/2303.05733 (2023) - [i22]Yulian Wu, Xingyu Zhou, Sayak Ray Chowdhury, Di Wang:
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards. CoRR abs/2306.01121 (2023) - [i21]Sayak Ray Chowdhury, Xingyu Zhou, Nagarajan Natarajan:
Differentially Private Reward Estimation with Preference Feedback. CoRR abs/2310.19733 (2023) - 2022
- [j15]Xingyu Zhou:
Differentially Private Reinforcement Learning with Linear Function Approximation. Proc. ACM Meas. Anal. Comput. Syst. 6(1): 8:1-8:27 (2022) - [c19]Sayak Ray Chowdhury, Xingyu Zhou:
Differentially Private Regret Minimization in Episodic Markov Decision Processes. AAAI 2022: 6375-6383 - [c18]Yuntian Deng, Xingyu Zhou, Baekjin Kim, Ambuj Tewari, Abhishek Gupta, Ness B. Shroff:
Weighted Gaussian Process Bandits for Non-stationary Environments. AISTATS 2022: 6909-6932 - [c17]Sayak Ray Chowdhury, Xingyu Zhou:
Shuffle Private Linear Contextual Bandits. ICML 2022: 3984-4009 - [c16]Xingyu Zhou, Bo Ji:
On Kernelized Multi-Armed Bandits with Constraints. NeurIPS 2022 - [c15]Arnob Ghosh, Xingyu Zhou, Ness B. Shroff:
Provably Efficient Model-Free Constrained RL with Linear Function Approximation. NeurIPS 2022 - [c14]Xingyu Zhou:
Differentially Private Reinforcement Learning with Linear Function Approximation. SIGMETRICS (Abstracts) 2022: 77-78 - [c13]Yuntian Deng, Xingyu Zhou, Arnob Ghosh, Abhishek Gupta, Ness B. Shroff:
Interference Constrained Beam Alignment for Time-Varying Channels via Kernelized Bandits. WiOpt 2022: 25-32 - [c12]Fengjiao Li, Xingyu Zhou, Bo Ji:
Differentially Private Linear Bandits with Partial Distributed Feedback. WiOpt 2022: 41-48 - [i20]Xingyu Zhou:
Differentially Private Reinforcement Learning with Linear Function Approximation. CoRR abs/2201.07052 (2022) - [i19]Sayak Ray Chowdhury, Xingyu Zhou:
Shuffle Private Linear Contextual Bandits. CoRR abs/2202.05567 (2022) - [i18]Xingyu Zhou, Bo Ji:
On Kernelized Multi-Armed Bandits with Constraints. CoRR abs/2203.15589 (2022) - [i17]Sayak Ray Chowdhury, Xingyu Zhou:
Distributed Differential Privacy in Multi-Armed Bandits. CoRR abs/2206.05772 (2022) - [i16]Arnob Ghosh, Xingyu Zhou, Ness B. Shroff:
Provably Efficient Model-Free Constrained RL with Linear Function Approximation. CoRR abs/2206.11889 (2022) - [i15]Yuntian Deng, Xingyu Zhou, Arnob Ghosh, Abhishek Gupta, Ness B. Shroff:
Interference Constrained Beam Alignment for Time-Varying Channels via Kernelized Bandits. CoRR abs/2207.00908 (2022) - [i14]Fengjiao Li, Xingyu Zhou, Bo Ji:
Differentially Private Linear Bandits with Partial Distributed Feedback. CoRR abs/2207.05827 (2022) - 2021
- [j14]Xingyu Zhou, Ness B. Shroff, Adam Wierman:
Asymptotically optimal load balancing in large-scale heterogeneous systems with multiple dispatchers. Perform. Evaluation 145: 102146 (2021) - [c11]Xingyu Zhou, Jian Tan:
Local Differential Privacy for Bayesian Optimization. AAAI 2021: 11152-11159 - [c10]Xingyu Zhou, Ness B. Shroff:
No-Regret Algorithms for Time-Varying Bayesian Optimization. CISS 2021: 1-6 - [c9]Sayak Ray Chowdhury, Xingyu Zhou, Ness B. Shroff:
Adaptive Control of Differentially Private Linear Quadratic Systems. ISIT 2021: 485-490 - [c8]Wentao Weng, Xingyu Zhou, R. Srikant:
Optimal Load Balancing with Locality Constraints. SIGMETRICS (Abstracts) 2021: 49-50 - [i13]Xingyu Zhou, Ness B. Shroff:
No-Regret Algorithms for Time-Varying Bayesian Optimization. CoRR abs/2102.06296 (2021) - [i12]Yuntian Deng, Xingyu Zhou, Baekjin Kim, Ambuj Tewari, Abhishek Gupta, Ness B. Shroff:
Weighted Gaussian Process Bandits for Non-stationary Environments. CoRR abs/2107.02371 (2021) - [i11]Sayak Ray Chowdhury, Xingyu Zhou, Ness B. Shroff:
Adaptive Control of Differentially Private Linear Quadratic Systems. CoRR abs/2108.11563 (2021) - [i10]Sayak Ray Chowdhury, Xingyu Zhou:
Differentially Private Regret Minimization in Episodic Markov Decision Processes. CoRR abs/2112.10599 (2021) - 2020
- [j13]Wentao Weng, Xingyu Zhou, R. Srikant:
Optimal Load Balancing with Locality Constraints. Proc. ACM Meas. Anal. Comput. Syst. 4(3): 45:1-45:37 (2020) - [j12]Xingyu Zhou, Ness B. Shroff, Adam Wierman:
Asymptotically Optimal Load Balancing in Large-scale Heterogeneous Systems with Multiple Dispatchers. SIGMETRICS Perform. Evaluation Rev. 48(3): 57-58 (2020) - [i9]Xingyu Zhou, Ness B. Shroff, Adam Wierman:
Asymptotically Optimal Load Balancing in Large-scale Heterogeneous Systems with Multiple Dispatchers. CoRR abs/2002.08908 (2020) - [i8]Xingyu Zhou, Ness B. Shroff:
A Note on Stein's Method for Heavy-Traffic Analysis. CoRR abs/2003.06454 (2020) - [i7]Xingyu Zhou, Ness B. Shroff:
A Note on Load Balancing in Many-Server Heavy-Traffic Regime. CoRR abs/2004.09574 (2020) - [i6]Wenbo Ren, Xingyu Zhou, Jia Liu, Ness B. Shroff:
Multi-Armed Bandits with Local Differential Privacy. CoRR abs/2007.03121 (2020) - [i5]Wentao Weng, Xingyu Zhou, R. Srikant:
Optimal Load Balancing in Bipartite Graphs. CoRR abs/2008.08830 (2020) - [i4]Xingyu Zhou, Jian Tan:
Local Differential Privacy for Bayesian Optimization. CoRR abs/2010.06709 (2020)
2010 – 2019
- 2019
- [j11]Xingyu Zhou:
Asymptotically Optimal Load Balancing: Theory and Algorithms. SIGMETRICS Perform. Evaluation Rev. 47(3): 34-37 (2019) - [c7]Xingyu Zhou, Jian Tan, Ness B. Shroff:
Heavy-traffic Delay Optimality in Pull-based Load Balancing Systems: Necessary and Sufficient Conditions. SIGMETRICS (Abstracts) 2019: 5-6 - 2018
- [j10]Xingyu Zhou, Jian Tan, Ness B. Shroff:
Flexible load balancing with multi-dimensional state-space collapse: Throughput and heavy-traffic delay optimality. Perform. Evaluation 127-128: 176-193 (2018) - [j9]Xingyu Zhou, Fei Wu, Jian Tan, Kannan Srinivasan, Ness B. Shroff:
Degree of Queue Imbalance: Overcoming the Limitation of Heavy-traffic Delay Optimality in Load Balancing Systems. Proc. ACM Meas. Anal. Comput. Syst. 2(1): 21:1-21:41 (2018) - [j8]Xingyu Zhou, Jian Tan, Ness B. Shroff:
Heavy-traffic Delay Optimality in Pull-based Load Balancing Systems: Necessary and Sufficient Conditions. Proc. ACM Meas. Anal. Comput. Syst. 2(3): 41:1-41:33 (2018) - [j7]Xingyu Zhou, Jian Tan, Ness B. Shroff:
Flexible Load Balancing with Multi-dimensional State-space Collapse: Throughput and Heavy-traffic Delay Optimality. SIGMETRICS Perform. Evaluation Rev. 46(3): 10-11 (2018) - [c6]Xingyu Zhou, Fei Wu, Jian Tan, Kannan Srinivasan, Ness B. Shroff:
Degree of Queue Imbalance: Overcoming the Limitation of Heavy-traffic Delay Optimality in Load Balancing Systems. SIGMETRICS (Abstracts) 2018: 115 - [c5]Xingyu Zhou, Fei Wu, Jian Tan, Yin Sun, Ness B. Shroff:
Designing Low-Complexity Heavy-Traffic Delay-Optimal Load Balancing Schemes: Theory to Algorithms. SIGMETRICS (Abstracts) 2018: 128 - [i3]Xingyu Zhou, Jian Tan, Ness B. Shroff:
Flexible Load Balancing with Multi-dimensional State-space Collapse: Throughput and Heavy-traffic Delay Optimality. CoRR abs/1806.02939 (2018) - [i2]Xingyu Zhou, Jian Tan, Ness B. Shroff:
Heavy-traffic Delay Optimality in Pull-based Load Balancing Systems: Necessary and Sufficient Conditions. CoRR abs/1808.06911 (2018) - 2017
- [j6]Xingyu Zhou, Fei Wu, Jian Tan, Yin Sun, Ness B. Shroff:
Designing Low-Complexity Heavy-Traffic Delay-Optimal Load Balancing Schemes: Theory to Algorithms. Proc. ACM Meas. Anal. Comput. Syst. 1(2): 39:1-39:30 (2017) - [i1]Xingyu Zhou, Fei Wu, Jian Tan, Yin Sun, Ness B. Shroff:
Designing Low-Complexity Heavy-Traffic Delay-Optimal Load Balancing Schemes: Theory to Algorithms. CoRR abs/1710.04357 (2017) - 2015
- [j5]Tian Tong, Xingyu Zhou, Bo Bai, Wei Chen:
How Many Antennas Should Be Activated in Keyhole Channels Under a Holistic Power Model. IEEE Commun. Lett. 19(6): 981-984 (2015) - [j4]Xingyu Zhou, Bo Bai, Wei Chen:
Greedy Relay Antenna Selection for Sum Rate Maximization in Amplify-and-Forward MIMO Two-Way Relay Channels Under a Holistic Power Model. IEEE Commun. Lett. 19(9): 1648-1651 (2015) - [c4]Xingyu Zhou, Bo Bai, Wei Chen:
Energy efficient relay antenna selection for AF MIMO two-way relay channels. ICC 2015: 4686-4691 - 2014
- [j3]Xingyu Zhou, Bo Bai, Wei Chen:
A Low Complexity Energy Efficiency Maximization Method for Multiuser Amplify-and-Forward MIMO Relay Systems With a Holistic Power Model. IEEE Commun. Lett. 18(8): 1371-1374 (2014) - [j2]Xingyu Zhou, Bo Bai, Wei Chen:
Iterative Antenna Selection for Decode-and-Forward MIMO Relay Systems Under a Holistic Power Model. IEEE Commun. Lett. 18(12): 2237-2240 (2014) - [j1]Xingyu Zhou, Bo Bai, Wei Chen:
Iterative Antenna Selection for Multi-Stream MIMO under a Holistic Power Model. IEEE Wirel. Commun. Lett. 3(1): 82-85 (2014) - [c3]Xingyu Zhou, Bo Bai, Wei Chen, Yuxing Han:
On energy efficiency maximization of AF MIMO relay systems with antenna selection (Invited Paper). GlobalSIP 2014: 88-92 - [c2]Xingyu Zhou, Bo Bai, Wei Chen, Yuxing Han:
Energy efficient transmission for DF MIMO relay systems with antenna selection. GlobalSIP 2014: 153-157 - [c1]Xingyu Zhou, Bo Bai, Wei Chen:
An iterative algorithm for joint antenna selection and power adaptation in energy efficient MIMO. ICC 2014: 3812-3816
Coauthor Index
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