Guo, Lan-Zhe

29 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

IJCAI 2025 Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models Jie-Jing Shao, Hong-Jie You, Guohao Cai, Quanyu Dai, Zhenhua Dong, Lan-Zhe Guo

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

IJCAI 2025 Curriculum Abductive Learning for Mitigating Reasoning Shortcuts Wen-Da Wei, Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo

IJCAI 2025 D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning Jia Zhang, Chen-Xi Zhang, Yao Liu, Yi-Xuan Jin, Xiao-Wen Yang, Bo Zheng, Yi Liu, 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

ICLR 2025 Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model Rundong He, Yicong Dong, Lan-Zhe Guo, Yilong Yin, Tailin Wu

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 Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible Lin-Han Jia, Wen-Chao Hu, Jie-Jing Shao, Lan-Zhe Guo, Yu-Feng Li

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

MLJ 2024 Open-Set Learning Under Covariate Shift Jie-Jing Shao, Xiaowen Yang, Lan-Zhe Guo

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

MLJ 2024 Transfer and Share: Semi-Supervised Learning from Long-Tailed Data Tong Wei, Qian-Yu Liu, Jiang-Xin Shi, Wei-Wei Tu, Lan-Zhe Guo

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

ICML 2022 Class-Imbalanced Semi-Supervised Learning with Adaptive Thresholding Lan-Zhe Guo, Yu-Feng Li

NeurIPS 2022 LOG: Active Model Adaptation for Label-Efficient OOD Generalization Jie-Jing Shao, Lan-Zhe Guo, Xiao-wen Yang, Yu-Feng Li

NeurIPS 2022 Robust Semi-Supervised Learning When Not All Classes Have Labels Lan-Zhe Guo, Yi-Ge Zhang, Zhi-Fan Wu, Jie-Jing Shao, 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

AAAI 2020 IWE-Net: Instance Weight Network for Locating Negative Comments and Its Application to Improve Traffic User Experience Lan-Zhe Guo, Feng Kuang, Zhang-Xun Liu, Yufeng Li, Nan Ma, Xiao-Hu Qie

ICML 2020 Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data Lan-Zhe Guo, Zhen-Yu Zhang, Yuan Jiang, Yu-Feng Li, Zhi-Hua Zhou

AAAI 2018 A General Formulation for Safely Exploiting Weakly Supervised Data Lan-Zhe Guo, Yufeng Li

MLJ 2018 Learning Safe Multi-Label Prediction for Weakly Labeled Data Tong Wei, Lan-Zhe Guo, Yufeng Li, Wei Gao