| 2026 | CHI | VR Calm Plus: Coupling a Squeezable Tangible Interaction with Immersive VR for Stress Regulation. | He Zhang, Xinyang Li, Xingyu Zhou, Xinyi Fu |
| 2026 | ICALP | Quantum Algorithms on Edge Lists: Hiding, Shuffling, and Cycle Finding. | Amin Shiraz Gilani, Daochen Wang, Pei Wu, Xingyu Zhou |
| 2026 | ICDE | Hierarchical Industrial Demand Forecasting with Temporal and Uncertainty Explanations. | Harshavardhan Kamarthi, Shangqing Xu, Xinjie Tong, Xingyu Zhou, James Peters, Joseph Czyzyk, B. Aditya Prakash |
| 2025 | CHI | BakeEase: Redefining Baking Experiences with AI-Powered Multimodal Systems. | Shuang He, Da Gao, Xingyu Zhou, Haoyu Dai, Shengyi Wang, Yingqing Xu, Xinyi Fu |
| 2025 | CVPR | Progressive Focused Transformer for Single Image Super-Resolution. | Wei Long, Xingyu Zhou, Leheng Zhang, Shuhang Gu |
| 2025 | CVPR | Learned Image Compression with Dictionary-based Entropy Model. | Jingbo Lu, Leheng Zhang, Xingyu Zhou, Mu Li, Wen Li, Shuhang Gu |
| 2025 | ICCV | Consistency Trajectory Matching for One-Step Generative Super-Resolution. | Weiyi You, Mingyang Zhang, Leheng Zhang, Xingyu Zhou, Kexuan Shi, Shuhang Gu |
| 2025 | ICML | A Unified Theoretical Analysis of Private and Robust Offline Alignment: from RLHF to DPO. | Xingyu Zhou, Yulian Wu, Francesco Orabona |
| 2025 | ICML | SquareχPO: Differentially Private and Robust χ2-Preference Optimization in Offline Direct Alignment. | Xingyu Zhou, Yulian Wu, Wenqian Weng, Francesco Orabona |
| 2025 | IJCNN | Multigrid-Inspired Graph Neural Networks for Selection of Solvers and Preconditioners in Sparse Linear Systems. | Xingyu Zhou, Shuzi Niu, Huiyuan Li, Tao Yuan, Ziwei Li |
| 2025 | ISMAR | VR Calm+: Furry Stress Ball as a Haptic Modality for Relaxation in Virtual Reality. | He Zhang, Xinyang Li, Xingyu Zhou, Xinyi Fu |
| 2025 | MOBIHOC | Odin: Effective End-to-End SLA Decomposition for 5G/6G Network Slicing via Online Learning. | Duo Cheng, Ramanujan K. Sheshadri, Ahan Kak, Nakjung Choi, Xingyu Zhou, Bo Ji |
| 2025 | WCNC | MCMC-Based Sparse Bayesian Learning for Channel Estimation Using Gaussian Mixture Models. | Xiaotian Fan, Xingyu Zhou, Hao Ye, Le Liang, Shi Jin |
| 2025 | WCNC | AI-Driven Iterative Receiver for Superimposed Pilot Schemes in MIMO-OFDM Systems. | Xinjie Li, Xingyu Zhou, Jing Zhang, Chao-Kai Wen, Shi Jin |
| 2024 | AISTATS | Differentially Private Reward Estimation with Preference Feedback. | Sayak Ray Chowdhury, Xingyu Zhou, Nagarajan Natarajan |
| 2024 | AISTATS | Towards Achieving Sub-linear Regret and Hard Constraint Violation in Model-free RL. | Arnob Ghosh, Xingyu Zhou, Ness B. Shroff |
| 2024 | CVPR | Improved Implicit Neural Representation with Fourier Reparameterized Training. | Kexuan Shi, Xingyu Zhou, Shuhang Gu |
| 2024 | CVPR | Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary. | Leheng Zhang, Yawei Li, Xingyu Zhou, Xiaorui Zhao, Shuhang Gu |
| 2024 | CVPR | Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention. | Xingyu Zhou, Leheng Zhang, Xiaorui Zhao, Keze Wang, Leida Li, Shuhang Gu |
| 2024 | GLOBECOM | A Bagging-based Consensus Protocol for Distributed Learning. | Zixiang Cui, Xintong Ling, Xingyu Zhou, Jiaheng Wang |
| 2024 | ICLR | On Differentially Private Federated Linear Contextual Bandits. | Xingyu Zhou, Sayak Ray Chowdhury |
| 2024 | ICML | 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 J. Wright |
| 2024 | KDD | Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsity. | Harshavardhan Kamarthi, Aditya B. Sasanur, Xinjie Tong, Xingyu Zhou, James Peters, Joe Czyzyk, B. Aditya Prakash |
| 2023 | AISTATS | Provably Efficient Model-Free Algorithms for Non-stationary CMDPs. | Honghao Wei, Arnob Ghosh, Ness B. Shroff, Lei Ying, Xingyu Zhou |
| 2023 | GLOBECOM | Integrated Communication and Localization for Next-Generation Ultra-Massive MIMO System. | Xingyu Zhou, Zhen Gao |
| 2023 | GLOBECOM | MIMO Detection Using Gradient-Based Markov Chain Monte Carlo Methods. | Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin |
| 2023 | ICLR | Distributed Differential Privacy in Multi-Armed Bandits. | Sayak Ray Chowdhury, Xingyu Zhou |
| 2023 | ICLR | Achieving Sub-linear Regret in Infinite Horizon Average Reward Constrained MDP with Linear Function Approximation. | Arnob Ghosh, Xingyu Zhou, Ness B. Shroff |
| 2023 | ICML | Understanding the Role of Feedback in Online Learning with Switching Costs. | Duo Cheng, Xingyu Zhou, Bo Ji |
| 2023 | ICML | Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards. | Yulian Wu, Xingyu Zhou, Sayak Ray Chowdhury, Di Wang |
| 2023 | SIGMETRICS | (Private) Kernelized Bandits with Distributed Biased Feedback. | Fengjiao Li, Xingyu Zhou, Bo Ji |
| 2022 | AAAI | Differentially Private Regret Minimization in Episodic Markov Decision Processes. | Sayak Ray Chowdhury, Xingyu Zhou |
| 2022 | AISTATS | Weighted Gaussian Process Bandits for Non-stationary Environments. | Yuntian Deng, Xingyu Zhou, Baekjin Kim, Ambuj Tewari, Abhishek Gupta, Ness B. Shroff |
| 2022 | IC2E | Guarding Against Universal Adversarial Perturbations in Data-driven Cloud/Edge Services. | Xingyu Zhou, Robert Canady, Yi Li, Shunxing Bao, Yogesh D. Barve, Daniel Balasubramanian, Aniruddha Gokhale |
| 2022 | ICML | Shuffle Private Linear Contextual Bandits. | Sayak Ray Chowdhury, Xingyu Zhou |
| 2022 | IJCAI | Learning Coated Adversarial Camouflages for Object Detectors. | Yexin Duan, Jialin Chen, Xingyu Zhou, Junhua Zou, Zhengyun He, Jin Zhang, Wu Zhang, Zhisong Pan |
| 2022 | SIGMETRICS | Differentially Private Reinforcement Learning with Linear Function Approximation. | Xingyu Zhou |
| 2022 | WiOpt | Interference Constrained Beam Alignment for Time-Varying Channels via Kernelized Bandits. | Yuntian Deng, Xingyu Zhou, Arnob Ghosh, Abhishek Gupta, Ness B. Shroff |
| 2022 | WiOpt | Differentially Private Linear Bandits with Partial Distributed Feedback. | Fengjiao Li, Xingyu Zhou, Bo Ji |
| 2021 | AAAI | Local Differential Privacy for Bayesian Optimization. | Xingyu Zhou, Jian Tan |
| 2021 | CISS | No-Regret Algorithms for Time-Varying Bayesian Optimization. | Xingyu Zhou, Ness B. Shroff |
| 2021 | IROS | Orientation-Aware Planning for Parallel Task Execution of Omni-Directional Mobile Robot. | Cheng Gong, Zirui Li, Xingyu Zhou, Jiachen Li, Junhui Zhou, Jianwei Gong |
| 2021 | ISIT | Adaptive Control of Differentially Private Linear Quadratic Systems. | Sayak Ray Chowdhury, Xingyu Zhou, Ness B. Shroff |
| 2021 | ISKE | Financial Time Series Prediction Based on GGM-GAN. | Xin Li, Yangguang Liu, Chen Huang, Xingyu Zhou |
| 2021 | SIGMETRICS | Optimal Load Balancing with Locality Constraints. | Wentao Weng, Xingyu Zhou, R. Srikant |
| 2020 | ISCC | The Understanding and Forecast of AS-Level Anycast Path Inflation. | Yan Yang, Xingang Shi, Xia Yin, Zhiliang Wang, Xingyu Zhou |
| 2019 | COMPSAC | Twitter vs News: Concern Analysis of the 2018 California Wildfire Event. | Hanxiang Du, Long Hoang Nguyen, Zhou Yang, Hashim Abu-gellban, Xingyu Zhou, Wanli Xing, Guofeng Cao, Fang Jin |
| 2019 | SIGMETRICS | Heavy-traffic Delay Optimality in Pull-based Load Balancing Systems: Necessary and Sufficient Conditions. | Xingyu Zhou, Jian Tan, Ness B. Shroff |
| 2018 | SIGMETRICS | Degree of Queue Imbalance: Overcoming the Limitation of Heavy-traffic Delay Optimality in Load Balancing Systems. | Xingyu Zhou, Fei Wu, Jian Tan, Kannan Srinivasan, Ness B. Shroff |
| 2018 | SIGMETRICS | Designing Low-Complexity Heavy-Traffic Delay-Optimal Load Balancing Schemes: Theory to Algorithms. | Xingyu Zhou, Fei Wu, Jian Tan, Yin Sun, Ness B. Shroff |
| 2017 | ICIG | Adaptive Learning Compressive Tracking Based on Kalman Filter. | Xingyu Zhou, Dongmei Fu, Yanan Shi, Chunhong Wu |