Zhou, Zhi

21 publications

NeurIPS 2025 A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning Zhi Zhou, Yuhao Tan, Zenan Li, Yuan Yao, Lan-Zhe Guo, Yu-Feng Li, Xiaoxing Ma

IJCAI 2025 BMIP: Bi-Directional Modality Interaction Prompt Learning for VLM Song-Lin Lv, Yu-Yang Chen, Zhi Zhou, Ming Yang, Lan-Zhe Guo

ICLR 2025 CARTS: Advancing Neural Theorem Proving with Diversified Tactic Calibration and Bias-Resistant Tree Search Xiao-Wen Yang, Zhi Zhou, Haiming Wang, Aoxue Li, Wen-Da Wei, Hui Jin, Zhenguo Li, Yu-Feng Li

IJCAI 2025 CGI: Identifying Conditional Generative Models with Example Images Zhi Zhou, Hao-Zhe Tan, Peng-Xiao Song, Lan-Zhe Guo

IJCAI 2025 Fully Test-Time Adaptation for Feature Decrement in Tabular Data Zi-Jian Cheng, Zi-Yi Jia, Kun-Yang Yu, Zhi Zhou, Lan-Zhe Guo

AAAI 2025 Fully Test-Time Adaptation for Tabular Data Zhi Zhou, Kun-Yang Yu, Lan-Zhe Guo, Yufeng Li

IJCAI 2025 Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo, Bo-Wen Zhang, Zhi Zhou, Lin-Han Jia, Wang-Zhou Dai, Yufeng Li

ICML 2025 TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Zi-Jian Cheng, Ziyi Jia, Zhi Zhou, Yu-Feng Li, Lan-Zhe Guo

ICML 2025 Vision-Language Model Selection and Reuse for Downstream Adaptation Hao-Zhe Tan, Zhi Zhou, Yu-Feng Li, Lan-Zhe Guo

ICML 2024 DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection Zhi Zhou, Ming Yang, Jiang-Xin Shi, Lan-Zhe Guo, Yu-Feng Li

AAAI 2024 HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors Heng-Kai Zhang, Yi-Ge Zhang, Zhi Zhou, Yufeng Li

IJCAI 2024 LSPAN: Spectrally Localized Augmentation for Graph Consistency Learning Heng-Kai Zhang, Yi-Ge Zhang, Zhi Zhou, Yufeng Li

ICML 2024 Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts Jiang-Xin Shi, Tong Wei, Zhi Zhou, Jie-Jing Shao, Xin-Yan Han, Yu-Feng Li

NeurIPS 2024 Neuro-Symbolic Data Generation for Math Reasoning Zenan Li, Zhi Zhou, Yuan Yao, Yu-Feng Li, Chun Cao, Fan Yang, Xian Zhang, Xiaoxing Ma

ICLR 2024 Realistic Evaluation of Semi-Supervised Learning Algorithms in Open Environments Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li

AAAI 2024 Robust Test-Time Adaptation for Zero-Shot Prompt Tuning Dingchu Zhang, Zhi Zhou, Yufeng Li

ICML 2023 Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Yuke Xiang, Yu-Feng Li

ICML 2023 Identifying Useful Learnwares for Heterogeneous Label Spaces Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li, Zhi-Hua Zhou

ICML 2023 ODS: Test-Time Adaptation in the Presence of Open-World Data Shift Zhi Zhou, Lan-Zhe Guo, Lin-Han Jia, Dingchu Zhang, Yu-Feng Li

NeurIPS 2022 USB: A Unified Semi-Supervised Learning Benchmark for Classification Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yu-Feng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang

NeurIPS 2021 STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data Zhi Zhou, Lan-Zhe Guo, Zhanzhan Cheng, Yu-Feng Li, Shiliang Pu