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Lan-Zhe Guo
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2020 – today
- 2024
- [j8]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) - [j7]Jie-Jing Shao, Xiaowen Yang, Lan-Zhe Guo
Open-set learning under covariate shift. Mach. Learn. 113(4): 1643-1659 (2024) - [j6]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): 1725-1742 (2024) - [j5]Weikai Yang
Interactive Reweighting for Mitigating Label Quality Issues. IEEE Trans. Vis. Comput. Graph. 30(3): 1837-1852 (2024) - [c18]Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li:
Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments. ICLR 2024 - [c17]Zhi Zhou, Ming Yang, Jiang-Xin Shi, Lan-Zhe Guo, Yu-Feng Li:
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection. ICML 2024 - [c16]Jie-Jing Shao
Offline Imitation Learning with Model-based Reverse Augmentation. KDD 2024: 2608-2617 - [i12]Zhi Zhou, Ming Yang, Jiang-Xin Shi, Lan-Zhe Guo, Yu-Feng Li:
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection. CoRR abs/2406.00345 (2024) - [i11]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 abs/2406.04614 (2024) - [i10]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 abs/2406.05055 (2024) - [i9]Jie-Jing Shao, Hao-Sen Shi, Lan-Zhe Guo, Yu-Feng Li:
Offline Imitation Learning with Model-based Reverse Augmentation. CoRR abs/2406.12550 (2024) - [i8]Jia Zhang, Zhi Zhou, Lan-Zhe Guo, Yu-Feng Li:
Enabling Small Models for Zero-Shot Classification through Model Label Learning. CoRR abs/2408.11449 (2024) - 2023
- [c15]Lan-Zhe Guo, Zhi Zhou
Identifying Useful Learnwares for Heterogeneous Label Spaces. ICML 2023: 12122-12131 - [c14]Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou
Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions. ICML 2023: 14886-14901 - [c13]Zhi Zhou
ODS: Test-Time Adaptation in the Presence of Open-World Data Shift. ICML 2023: 42574-42588 - [i7]Jie-Jing Shao, Jiang-Xin Shi, Xiaowen Yang, Lan-Zhe Guo, Yufeng Li:
Investigating the Limitation of CLIP Models: The Worst-Performing Categories. CoRR abs/2310.03324 (2023) - [i6]Weikai Yang, Yukai Guo, Jing Wu, Zheng Wang, Lan-Zhe Guo, Yufeng Li, Shixia Liu:
Interactive Reweighting for Mitigating Label Quality Issues. CoRR abs/2312.05067 (2023) - 2022
- [c12]Lan-Zhe Guo, Yufeng Li:
Class-Imbalanced Semi-Supervised Learning with Adaptive Thresholding. ICML 2022: 8082-8094 - [c11]Lan-Zhe Guo, Yi-Ge Zhang, Zhi-Fan Wu, Jie-Jing Shao, Yufeng Li:
Robust Semi-Supervised Learning when Not All Classes have Labels. NeurIPS 2022 - [c10]Jie-Jing Shao, Lan-Zhe Guo, Xiaowen Yang, Yufeng Li:
LOG: Active Model Adaptation for Label-Efficient OOD Generalization. NeurIPS 2022 - [c9]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, Yufeng 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 - [i5]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 abs/2205.13358 (2022) - [i4]Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yufeng Li:
LAMDA-SSL: Semi-Supervised Learning in Python. CoRR abs/2208.04610 (2022) - [i3]Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang
USB: A Unified Semi-supervised Learning Benchmark. CoRR abs/2208.07204 (2022) - 2021
- [j4]Miao Xu
Learning from group supervision: the impact of supervision deficiency on multi-label learning. Sci. China Inf. Sci. 64(3) (2021) - [j3]Yufeng Li
Towards Safe Weakly Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 334-346 (2021) - [j2]Changjian Chen
Interactive Graph Construction for Graph-Based Semi-Supervised Learning. IEEE Trans. Vis. Comput. Graph. 27(9): 3701-3716 (2021) - [c8]Lan-Zhe Guo, Zhi Zhou
Learning from Imbalanced and Incomplete Supervision with Its Application to Ride-Sharing Liability Judgment. KDD 2021: 487-495 - [c7]Zhi Zhou, Lan-Zhe Guo, Zhanzhan Cheng, Yufeng Li, Shiliang Pu:
STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data. NeurIPS 2021: 29168-29180 - 2020
- [c6]Lan-Zhe Guo, Feng Kuang, Zhang-Xun Liu, Yufeng 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: 4052-4059 - [c5]Lan-Zhe Guo, Zhenyu Zhang, Yuan Jiang, Yufeng Li, Zhi-Hua Zhou:
Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data. ICML 2020: 3897-3906 - [c4]Lan-Zhe Guo, Zhi Zhou
RECORD: Resource Constrained Semi-Supervised Learning under Distribution Shift. KDD 2020: 1636-1644 - [i2]Lan-Zhe Guo, Feng Kuang, Zhang-Xun Liu, Yufeng Li, Nan Ma, Xiao-Hu Qie:
Weakly Supervised Learning Meets Ride-Sharing User Experience Enhancement. CoRR abs/2001.09027 (2020)
2010 – 2019
- 2019
- [c3]Lan-Zhe Guo, Tao Han, Yufeng Li:
Robust Semi-supervised Representation Learning for Graph-Structured Data. PAKDD (3) 2019: 131-143 - [i1]Lan-Zhe Guo, Yufeng Li, Ming Li, Jinfeng Yi, Bowen Zhou, Zhi-Hua Zhou:
Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness. CoRR abs/1904.09743 (2019) - 2018
- [j1]Tong Wei, Lan-Zhe Guo, Yufeng Li, Wei Gao:
Learning safe multi-label prediction for weakly labeled data. Mach. Learn. 107(4): 703-725 (2018) - [c2]Lan-Zhe Guo, Yufeng Li:
A General Formulation for Safely Exploiting Weakly Supervised Data. AAAI 2018: 3126-3133 - [c1]Lan-Zhe Guo, Shao-Bo Wang, Yufeng Li:
Large Margin Graph Construction for Semi-Supervised Learning. ICDM Workshops 2018: 1030-1033
Coauthor Index
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last updated on 2024-11-15 19:32 CET by the dblp team
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