Shi, Haizhou

9 publications

ICLR 2026 TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Tunyu Zhang, Haizhou Shi, Yibin Wang, Hengyi Wang, Xiaoxiao He, Zhuowei Li, Haoxian Chen, Ligong Han, Kai Xu, Huan Zhang, Dimitris N. Metaxas, Hao Wang

ICML 2025 The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering Zhuowei Li, Haizhou Shi, Yunhe Gao, Di Liu, Zhenting Wang, Yuxiao Chen, Ting Liu, Long Zhao, Hao Wang, Dimitris N. Metaxas

NeurIPS 2025 Training-Free Bayesianization for Low-Rank Adapters of Large Language Models Haizhou Shi, Yibin Wang, Ligong Han, Huan Zhang, Hao Wang

ICLRW 2025 Training-Free Bayesianization for Low-Rank Adapters of Large Language Models Haizhou Shi, Yibin Wang, Ligong Han, Huan Zhang, Hao Wang

NeurIPS 2024 BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models Yibin Wang, Haizhou Shi, Ligong Han, Dimitris Metaxas, Hao Wang

IJCAI 2024 Efficient Tuning and Inference for Large Language Models on Textual Graphs Yun Zhu, Yaoke Wang, Haizhou Shi, Siliang Tang

NeurIPS 2023 A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm Haizhou Shi, Hao Wang

AAAI 2022 On the Efficacy of Small Self-Supervised Contrastive Models Without Distillation Signals Haizhou Shi, Youcai Zhang, Siliang Tang, Wenjie Zhu, Yaqian Li, Yandong Guo, Yueting Zhuang

CVPR 2020 Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation Juncheng Li, Xin Wang, Siliang Tang, Haizhou Shi, Fei Wu, Yueting Zhuang, William Yang Wang