Xu, Jiawei

18 publications

ICCV 2025 AD-GS: Object-Aware B-Spline Gaussian Splatting for Self-Supervised Autonomous Driving Jiawei Xu, Kai Deng, Zexin Fan, Shenlong Wang, Jin Xie, Jian Yang

NeurIPS 2025 ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning Zeyuan Liu, Zhihe Yang, Jiawei Xu, Rui Yang, Jiafei Lyu, Baoxiang Wang, Yunjian Xu, Xiu Li

AAAI 2025 Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models Kyle Cox, Jiawei Xu, Yikun Han, Rong Xu, Tianhao Li, Chi-Yang Hsu, Tianlong Chen, Walter Gerych, Ying Ding

NeurIPS 2025 Scalable Exploration via Ensemble++ Yingru Li, Jiawei Xu, Baoxiang Wang, Zhi-Quan Luo

ICLRW 2025 Scalable Thompson Sampling via Ensemble++ Yingru Li, Jiawei Xu, Baoxiang Wang, Zhi-Quan Luo

ICLR 2025 Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling Jiawei Xu, Rui Yang, Shuang Qiu, Feng Luo, Meng Fang, Baoxiang Wang, Lei Han

ICMLW 2024 Adaptive Foundation Models for Online Decisions: HyperAgent with Fast Incremental Uncertainty Estimation Yingru Li, Jiawei Xu, Zhi-Quan Luo

NeurIPSW 2024 Demo: Interactive Visualization of Semantic Relationships in a Biomedical Project's Talent Knowledge Graph Jiawei Xu, Zhandos Sembay, Swathi Thaker, Pamela Payne-Foster, Jake Yue Chen, Ying Ding

ICMLW 2024 GPT-HyperAgent: Scalable Uncertainty Estimation and Exploration for Foundation Model Decisions Yingru Li, Jiawei Xu, Zhi-Quan Luo

NeurIPS 2024 Grid4D: 4D Decomposed Hash Encoding for High-Fidelity Dynamic Gaussian Splatting Jiawei Xu, Zexin Fan, Jian Yang, Jin Xie

NeurIPSW 2024 Position: Open and Closed Large Language Models in Healthcare Jiawei Xu, Ying Ding, Yi Bu

ICML 2024 Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent Yingru Li, Jiawei Xu, Lei Han, Zhi-Quan Luo

AAAI 2024 Relative Policy-Transition Optimization for Fast Policy Transfer Jiawei Xu, Cheng Zhou, Yizheng Zhang, Baoxiang Wang, Lei Han

NeurIPS 2024 SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification Benjamin Feuer, Jiawei Xu, Niv Cohen, Patrick Yubeaton, Govind Mittal, Chinmay Hegde

ICLR 2024 Towards Robust Offline Reinforcement Learning Under Diverse Data Corruption Rui Yang, Han Zhong, Jiawei Xu, Amy Zhang, Chongjie Zhang, Lei Han, Tong Zhang

JAIR 2023 Efficient Multi-Goal Reinforcement Learning via Value Consistency Prioritization Jiawei Xu, Shuxing Li, Rui Yang, Chun Yuan, Lei Han

NeurIPSW 2023 Efficient and Scalable Reinforcement Learning via Hypermodel Yingru Li, Jiawei Xu, Zhi-Quan Luo

NeurIPS 2023 MeGraph: Capturing Long-Range Interactions by Alternating Local and Hierarchical Aggregation on Multi-Scaled Graph Hierarchy Honghua Dong, Jiawei Xu, Yu Yang, Rui Zhao, Shiwen Wu, Chun Yuan, Xiu Li, Chris J Maddison, Lei Han