Xingyu Zhou
28 papers · 2021–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer π Cross-Pollinator (11)
π
Conference Polyglot
(9)
π
Triple Crown
π
Keyword Champion
(2)
π
Grand Slam
ποΈ
Keyword Collector
(99)
β‘
Prolific Year
(10)
π
Century Club
(28)
π₯
Unstoppable
(5)
Conferences
ICML (6)
CVPR (5)
NIPS (5)
AISTATS (4)
ICLR (3)
AAAI (2)
ICCV (1)
IJCAI (1)
JMLR (1)
Top co-authors
Research topics
Keywords
regret bound
(9)
differential privacy
(7)
multi-armed bandit
(4)
heavy-tailed reward
(3)
policy optimization
(3)
reinforcement learning
(3)
non-stationary environment
(2)
stochastic bandit
(2)
model-free reinforcement learning
(2)
image restoration
(2)
constrained markov decision process
(2)
minimax regret
(2)
gaussian process
(2)
primal-dual optimization
(2)
online learning
(2)
kernel approximation
(2)
linear function approximation
(2)
markov decision process
(2)
constrained reinforcement learning
(1)
temporal modeling
(1)
Papers
Consistency Trajectory Matching for One-Step Generative Super-Resolution
ICCV 2025
Learned Image Compression with Dictionary-based Entropy Model
CVPR 2025
Progressive Focused Transformer for Single Image Super-Resolution
CVPR 2025
Square$Ο$PO: Differentially Private and Robust $Ο^2$-Preference Optimization in Offline Direct Alignment
ICML 2025
A Unified Theoretical Analysis of Private and Robust Offline Alignment: from RLHF to DPO
ICML 2025
Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression
JMLR 2024
Locally Private and Robust Multi-Armed Bandits
NIPS 2024
Taming Heavy-Tailed Losses in Adversarial Bandits and the Best-of-Both-Worlds Setting
NIPS 2024
Towards Achieving Sub-linear Regret and Hard Constraint Violation in Model-free RL
AISTATS 2024
Differentially Private Reward Estimation with Preference Feedback
AISTATS 2024
Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention
CVPR 2024
Improved Implicit Neural Representation with Fourier Reparameterized Training
CVPR 2024
Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary
CVPR 2024
On Differentially Private Federated Linear Contextual Bandits
ICLR 2024
Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses
ICML 2024
Provably Efficient Model-Free Algorithms for Non-stationary CMDPs
AISTATS 2023
Understanding the Role of Feedback in Online Learning with Switching Costs
ICML 2023
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards
ICML 2023
Achieving Sub-linear Regret in Infinite Horizon Average Reward Constrained MDP with Linear Function Approximation
ICLR 2023
On Private and Robust Bandits
NIPS 2023
Distributed Differential Privacy in Multi-Armed Bandits
ICLR 2023
Weighted Gaussian Process Bandits for Non-stationary Environments
AISTATS 2022
Learning Coated Adversarial Camouflages for Object Detectors
IJCAI 2022
Shuffle Private Linear Contextual Bandits
ICML 2022
On Kernelized Multi-Armed Bandits with Constraints
NIPS 2022
Differentially Private Regret Minimization in Episodic Markov Decision Processes
AAAI 2022
Provably Efficient Model-Free Constrained RL with Linear Function Approximation
NIPS 2022
Local Differential Privacy for Bayesian Optimization
AAAI 2021