Lan-Zhe Guo

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 37

Top Topics

Manifold Regularization

Graph Construction

Legal Knowledge

Top Venues

Publications

Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yufeng Li
LAMDA-SSL: a comprehensive semi-supervised learning toolkit. Sci. China Inf. Sci. 67 (1) (2024)
Jie-Jing Shao, Hao-Sen Shi, Lan-Zhe Guo, Yu-Feng Li
Offline Imitation Learning with Model-based Reverse Augmentation. KDD (2024)
Weikai Yang, Yukai Guo, Jing Wu, Zheng Wang, Lan-Zhe Guo, Yu-Feng Li, Shixia Liu
Interactive Reweighting for Mitigating Label Quality Issues. IEEE Trans. Vis. Comput. Graph. 30 (3) (2024)
Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li
Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments. ICLR (2024)
Tong Wei, Qian-Yu Liu, Jiang-Xin Shi, Wei-Wei Tu, Lan-Zhe Guo
Transfer and share: semi-supervised learning from long-tailed data. Mach. Learn. 113 (4) (2024)
Zhi Zhou, Ming Yang, Jiang-Xin Shi, Lan-Zhe Guo, Yu-Feng Li
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection. CoRR (2024)
Shi-Yu Tian, Zhi Zhou, Lin-Han Jia, Lan-Zhe Guo, Yu-Feng Li
Robustness Assessment of Mathematical Reasoning in the Presence of Missing and Contradictory Conditions. CoRR (2024)
Jie-Jing Shao, Hao-Sen Shi, Lan-Zhe Guo, Yu-Feng Li
Offline Imitation Learning with Model-based Reverse Augmentation. CoRR (2024)
Zhi Zhou, Jiang-Xin Shi, Peng-Xiao Song, Xiaowen Yang, Yi-Xuan Jin, Lan-Zhe Guo, Yu-Feng Li
LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model. CoRR (2024)
Jie-Jing Shao, Xiaowen Yang, Lan-Zhe Guo
Open-set learning under covariate shift. Mach. Learn. 113 (4) (2024)
Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Yuke Xiang, Yu-Feng Li
Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions. ICML (2023)
Zhi Zhou, Lan-Zhe Guo, Lin-Han Jia, Dingchu Zhang, Yu-Feng Li
ODS: Test-Time Adaptation in the Presence of Open-World Data Shift. ICML (2023)
Jie-Jing Shao, Jiang-Xin Shi, Xiaowen Yang, Lan-Zhe Guo, Yu-Feng Li
Investigating the Limitation of CLIP Models: The Worst-Performing Categories. CoRR (2023)
Weikai Yang, Yukai Guo, Jing Wu, Zheng Wang, Lan-Zhe Guo, Yu-Feng Li, Shixia Liu
Interactive Reweighting for Mitigating Label Quality Issues. CoRR (2023)
Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li, Zhi-Hua Zhou
Identifying Useful Learnwares for Heterogeneous Label Spaces. ICML (2023)
Tong Wei, Qian-Yu Liu, Jiang-Xin Shi, Wei-Wei Tu, Lan-Zhe Guo
Transfer and Share: Semi-Supervised Learning from Long-Tailed Data. CoRR (2022)
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
USB: A Unified Semi-supervised Learning Benchmark for Classification. NeurIPS (2022)
Lan-Zhe Guo, Yu-Feng Li
Class-Imbalanced Semi-Supervised Learning with Adaptive Thresholding. ICML (2022)
Jie-Jing Shao, Lan-Zhe Guo, Xiaowen Yang, Yu-Feng Li
LOG: Active Model Adaptation for Label-Efficient OOD Generalization. NeurIPS (2022)
Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li
Robust Deep Semi-Supervised Learning: A Brief Introduction. CoRR (2022)
Lan-Zhe Guo, Yi-Ge Zhang, Zhi-Fan Wu, Jie-Jing Shao, Yu-Feng Li
Robust Semi-Supervised Learning when Not All Classes have Labels. NeurIPS (2022)
Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li
LAMDA-SSL: Semi-Supervised Learning in Python. CoRR (2022)
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
USB: A Unified Semi-supervised Learning Benchmark. CoRR (2022)
Zhi Zhou, Lan-Zhe Guo, Zhanzhan Cheng, Yu-Feng Li, Shiliang Pu
STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data. NeurIPS (2021)
Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Qi Zhang, Feng Kuang, Gao-Le Li, Zhang-Xun Liu, Guobin Wu, Nan Ma, Qun Li, Yu-Feng Li
Learning from Imbalanced and Incomplete Supervision with Its Application to Ride-Sharing Liability Judgment. KDD (2021)
Changjian Chen, Zhaowei Wang, Jing Wu, Xiting Wang, Lan-Zhe Guo, Yu-Feng Li, Shixia Liu
Interactive Graph Construction for Graph-Based Semi-Supervised Learning. IEEE Trans. Vis. Comput. Graph. 27 (9) (2021)
Miao Xu, Lan-Zhe Guo
Learning from group supervision: the impact of supervision deficiency on multi-label learning. Sci. China Inf. Sci. 64 (3) (2021)
Yu-Feng Li, Lan-Zhe Guo, Zhi-Hua Zhou
Towards Safe Weakly Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43 (1) (2021)
Lan-Zhe Guo, Feng Kuang, Zhang-Xun Liu, Yu-Feng Li, Nan Ma, Xiao-Hu Qie
IWE-Net: Instance Weight Network for Locating Negative Comments and its application to improve Traffic User Experience. AAAI (2020)
Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li
RECORD: Resource Constrained Semi-Supervised Learning under Distribution Shift. KDD (2020)
Lan-Zhe Guo, Zhenyu Zhang, Yuan Jiang, Yu-Feng Li, Zhi-Hua Zhou
Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data. ICML (2020)
Lan-Zhe Guo, Feng Kuang, Zhang-Xun Liu, Yu-Feng Li, Nan Ma, Xiao-Hu Qie
Weakly Supervised Learning Meets Ride-Sharing User Experience Enhancement. CoRR (2020)
Lan-Zhe Guo, Yu-Feng Li, Ming Li, Jinfeng Yi, Bowen Zhou, Zhi-Hua Zhou
Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness. CoRR (2019)
Lan-Zhe Guo, Tao Han, Yu-Feng Li
Robust Semi-supervised Representation Learning for Graph-Structured Data. PAKDD (3) (2019)
Lan-Zhe Guo, Shao-Bo Wang, Yu-Feng Li
Large Margin Graph Construction for Semi-Supervised Learning. ICDM Workshops (2018)
Tong Wei, Lan-Zhe Guo, Yu-Feng Li, Wei Gao
Learning safe multi-label prediction for weakly labeled data. Mach. Learn. 107 (4) (2018)
Lan-Zhe Guo, Yu-Feng Li
A General Formulation for Safely Exploiting Weakly Supervised Data. AAAI (2018)