| Federated multi-armed bandits with personalization C Shi, C Shen, J Yang International conference on artificial intelligence and statistics, 2917-2925, 2021 | 190 | 2021 |
| Building math agents with multi-turn iterative preference learning W Xiong, C Shi, J Shen, A Rosenberg, Z Qin, D Calandriello, M Khalman, ... ICLR 2025, 2025 | 61 | 2025 |
| Nearly minimax optimal offline reinforcement learning with linear function approximation: Single-agent mdp and markov game W Xiong, H Zhong, C Shi, C Shen, L Wang, T Zhang ICLR 2023, 2022 | 60 | 2022 |
| Decentralized multi-player multi-armed bandits with no collision information C Shi, W Xiong, C Shen, J Yang International Conference on Artificial Intelligence and Statistics, 1519-1528, 2020 | 45 | 2020 |
| Efficient prompt optimization through the lens of best arm identification C Shi, K Yang, Z Chen, J Li, J Yang, C Shen NeurIPS 2024, 2024 | 37* | 2024 |
| Privacy-aware edge computing based on adaptive DNN partitioning C Shi, L Chen, C Shen, L Song, J Xu 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 37 | 2019 |
| Heterogeneous multi-player multi-armed bandits: Closing the gap and generalization C Shi, W Xiong, C Shen, J Yang Advances in neural information processing systems 34, 22392-22404, 2021 | 34 | 2021 |
| A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games W Xiong, H Zhong, C Shi, C Shen, T Zhang ICML 2022, 2022 | 29 | 2022 |
| Offline reinforcement learning for wireless network optimization with mixture datasets K Yang, C Shi, C Shen, J Yang, SP Yeh, JJ Sydir IEEE Transactions on Wireless Communications 23 (10), 12703-12716, 2024 | 22 | 2024 |
| Multi-player multi-armed bandits with collision-dependent reward distributions C Shi, C Shen IEEE Transactions on Signal Processing 69, 4385-4402, 2021 | 19 | 2021 |
| Mixture of Demonstrations for In-Context Learning S Wang, Z Chen, C Shi, C Shen, J Li NeurIPS 2024, 2024 | 15 | 2024 |
| On no-sensing adversarial multi-player multi-armed bandits with collision communications C Shi, C Shen IEEE Journal on Selected Areas in Information Theory 2 (2), 515-533, 2021 | 11 | 2021 |
| Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources C Shi, W Xiong, C Shen, J Yang ICML 2023, 2023 | 8 | 2023 |
| On high-dimensional and low-rank tensor bandits C Shi, C Shen, ND Sidiropoulos 2023 IEEE International Symposium on Information Theory (ISIT), 1460-1465, 2023 | 6 | 2023 |
| (Almost) free incentivized exploration from decentralized learning agents C Shi, H Xu, W Xiong, C Shen Advances in Neural Information Processing Systems 34, 560-571, 2021 | 6* | 2021 |
| Reward teaching for federated multiarmed bandits C Shi, W Xiong, C Shen, J Yang IEEE Transactions on Signal Processing 71, 4407-4422, 2023 | 3 | 2023 |
| Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models C Shi, K Yang, J Yang, C Shen NeurIPS 2024, 2024 | 2 | 2024 |
| An Attackability Perspective on No-Sensing Adversarial Multi-player Multi-armed Bandits C Shi, C Shen 2021 IEEE International Symposium on Information Theory (ISIT), 533-538, 2021 | 2 | 2021 |
| From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning Z Chen, S Wang, X Fu, C Shi, Z Lei, C Shen, J Li The 2025 Conference on Empirical Methods in Natural Language Processing, 2025 | 1 | 2025 |
| Harnessing the Power of Federated Learning in Federated Contextual Bandits C Shi, R Zhou, K Yang, C Shen Transactions on Machine Learning Research, 2024 | 1 | 2024 |
Cong ShenAssociate Professor, University of VirginiaVerified email at virginia.edu
