Zhou, Xingyu

34 publications

ICML 2025 A Unified Theoretical Analysis of Private and Robust Offline Alignment: From RLHF to DPO Xingyu Zhou, Yulian Wu, Francesco Orabona

ICCV 2025 Consistency Trajectory Matching for One-Step Generative Super-Resolution Weiyi You, Mingyang Zhang, Leheng Zhang, Xingyu Zhou, Kexuan Shi, Shuhang Gu

CVPR 2025 Learned Image Compression with Dictionary-Based Entropy Model Jingbo Lu, Leheng Zhang, Xingyu Zhou, Mu Li, Wen Li, Shuhang Gu

NeurIPS 2025 On the Sample Complexity of Differentially Private Policy Optimization Yi He, Xingyu Zhou

CVPR 2025 Progressive Focused Transformer for Single Image Super-Resolution Wei Long, Xingyu Zhou, Leheng Zhang, Shuhang Gu

ICML 2025 Square$χ$PO: Differentially Private and Robust $χ^2$-Preference Optimization in Offline Direct Alignment Xingyu Zhou, Yulian Wu, Wenqian Weng, Francesco Orabona

NeurIPS 2025 UniViT: Unifying Image and Video Understanding in One Vision Encoder Feilong Tang, Xiang An, Haolin Yang, Yin Xie, Kaicheng Yang, Ming Hu, Zheng Cheng, Xingyu Zhou, Zimin Ran, Imran Razzak, Ziyong Feng, Behzad Bozorgtabar, Jiankang Deng, Zongyuan Ge

JMLR 2024 Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression Aleksandrs Slivkins, Xingyu Zhou, Karthik Abinav Sankararaman, Dylan J. Foster

AISTATS 2024 Differentially Private Reward Estimation with Preference Feedback Sayak Ray Chowdhury, Xingyu Zhou, Nagarajan Natarajan

ICLRW 2024 Efficient Private Federated Non-Convex Optimization with Shuffled Model Lingxiao Wang, Xingyu Zhou, Kumar Kshitij Patel, Lawrence Tang, Aadirupa Saha

CVPR 2024 Improved Implicit Neural Representation with Fourier Reparameterized Training Kexuan Shi, Xingyu Zhou, Shuhang Gu

NeurIPS 2024 Locally Private and Robust Multi-Armed Bandits Xingyu Zhou, Wei Zhang

ICLR 2024 On Differentially Private Federated Linear Contextual Bandits Xingyu Zhou, Sayak Ray Chowdhury

ICML 2024 Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses Changyu Gao, Andrew Lowy, Xingyu Zhou, Stephen Wright

NeurIPS 2024 Taming Heavy-Tailed Losses in Adversarial Bandits and the Best-of-Both-Worlds Setting Duo Cheng, Xingyu Zhou, Bo Ji

AISTATS 2024 Towards Achieving Sub-Linear Regret and Hard Constraint Violation in Model-Free RL Arnob Ghosh, Xingyu Zhou, Ness Shroff

CVPR 2024 Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary Leheng Zhang, Yawei Li, Xingyu Zhou, Xiaorui Zhao, Shuhang Gu

CVPR 2024 Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention Xingyu Zhou, Leheng Zhang, Xiaorui Zhao, Keze Wang, Leida Li, Shuhang Gu

ICLR 2023 Achieving Sub-Linear Regret in Infinite Horizon Average Reward Constrained MDP with Linear Function Approximation Arnob Ghosh, Xingyu Zhou, Ness Shroff

ICML 2023 Differentially Private Episodic Reinforcement Learning with Heavy-Tailed Rewards Yulian Wu, Xingyu Zhou, Sayak Ray Chowdhury, Di Wang

ICMLW 2023 Differentially Private Reward Estimation from Preference Based Feedback Sayak Ray Chowdhury, Xingyu Zhou

ICLR 2023 Distributed Differential Privacy in Multi-Armed Bandits Sayak Ray Chowdhury, Xingyu Zhou

ICMLW 2023 On Differentially Private Federated Linear Contextual Bandits Xingyu Zhou, Sayak Ray Chowdhury

NeurIPS 2023 On Private and Robust Bandits Yulian Wu, Xingyu Zhou, Youming Tao, Di Wang

AISTATS 2023 Provably Efficient Model-Free Algorithms for Non-Stationary CMDPs Honghao Wei, Arnob Ghosh, Ness Shroff, Lei Ying, Xingyu Zhou

ICML 2023 Understanding the Role of Feedback in Online Learning with Switching Costs Duo Cheng, Xingyu Zhou, Bo Ji

AISTATS 2022 Weighted Gaussian Process Bandits for Non-Stationary Environments Yuntian Deng, Xingyu Zhou, Baekjin Kim, Ambuj Tewari, Abhishek Gupta, Ness Shroff

AAAI 2022 Differentially Private Regret Minimization in Episodic Markov Decision Processes Sayak Ray Chowdhury, Xingyu Zhou

NeurIPSW 2022 Distributed Differential Privacy in Multi-Armed Bandits Sayak Ray Chowdhury, Xingyu Zhou

IJCAI 2022 Learning Coated Adversarial Camouflages for Object Detectors Yexin Duan, Jialin Chen, Xingyu Zhou, Junhua Zou, Zhengyun He, Jin Zhang, Wu Zhang, Zhisong Pan

NeurIPS 2022 On Kernelized Multi-Armed Bandits with Constraints Xingyu Zhou, Bo Ji

NeurIPS 2022 Provably Efficient Model-Free Constrained RL with Linear Function Approximation Arnob Ghosh, Xingyu Zhou, Ness Shroff

ICML 2022 Shuffle Private Linear Contextual Bandits Sayak Ray Chowdhury, Xingyu Zhou

AAAI 2021 Local Differential Privacy for Bayesian Optimization Xingyu Zhou, Jian Tan