Wang, Cheems

7 publications

NeurIPS 2025 Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning Yixiu Mao, Yun Qu, Cheems Wang, Xiangyang Ji

ICLR 2025 DynaPrompt: Dynamic Test-Time Prompt Tuning Zehao Xiao, Shilin Yan, Jack Hong, Jiayin Cai, Xiaolong Jiang, Yao Hu, Jiayi Shen, Cheems Wang, Cees G. M. Snoek

ICML 2025 Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Yun Qu, Cheems Wang, Yixiu Mao, Yiqin Lv, Xiangyang Ji

NeurIPS 2025 Gains: Fine-Grained Federated Domain Adaptation in Open Set Zhengyi Zhong, Wenzheng Jiang, Weidong Bao, Ji Wang, Cheems Wang, Guanbo Wang, Yongheng Deng, Ju Ren

AAAI 2025 Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning Yun Qu, Yuhang Jiang, Boyuan Wang, Yixiu Mao, Cheems Wang, Chang Liu, Xiangyang Ji

NeurIPS 2025 Selective Learning for Deep Time Series Forecasting Yisong Fu, Zezhi Shao, Chengqing Yu, Yujie Li, Zhulin An, Cheems Wang, Yongjun Xu, Fei Wang

ICML 2024 Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation Yuchen Yang, Yingdong Shi, Cheems Wang, Xiantong Zhen, Yuxuan Shi, Jun Xu