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Lan-Zhe Guo

Observed names: Guo, Lan-Zhe, Guo, Lanzhe, Lanzhe Guo
Institution: Nanjing University
Observed institution: Nanjing University
ORCID: 0000-0001-8965-1288
Observed ORCID: 0000-0001-8965-1288
OpenAlex ID: A5047808444
Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data
2020 · Lan-Zhe Guo, Zhenyu Zhang, et al. · International Conference on Machine Learning · 128
Interactive Graph Construction for Graph-Based Semi-Supervised Learning
2021 · Changjian Chen, Zhaowei Wang, et al. · IEEE Transactions on Visualization and Computer Graphics · 44
Learning safe multi-label prediction for weakly labeled data
2017 · Tong Wei, Lan-Zhe Guo, et al. · Machine Learning · 37
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Learning from group supervision: the impact of supervision deficiency on multi-label learning
2021 · Miao Xu, Lan-Zhe Guo · Science China Information Sciences · 24
LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model
2024 · Zhou, Zhi, Shi, Jiang-Xin, et al. · arXiv (Cornell University) · 21
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Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models
2025 · Xiao-Wen Yang, Jie-Jing Shao, et al. · International Joint Conference on Artificial Intelligence · 16
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Robust semi-supervised learning in open environments
2025 · Lan-Zhe Guo, Lin-Han Jia, et al. · Frontiers of Computer Science · 16
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STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data
2021 · Zhi Zhou, Lan-Zhe Guo, et al. · neural information processing systems · 15
RECORD: Resource Constrained Semi-Supervised Learning under Distribution Shift
2020 · Lan-Zhe Guo, Zhi Zhou, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 15
Transfer and share: semi-supervised learning from long-tailed data
2022 · Tong Wei, Qian-Yu Liu, et al. · Machine Learning · 14
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Interactive Reweighting for Mitigating Label Quality Issues
2023 · Weikai Yang, Yukai Guo, et al. · IEEE Transactions on Visualization and Computer Graphics · 13
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A General Formulation for Safely Exploiting Weakly Supervised Data
2018 · Lan-Zhe Guo, Yu-Feng Li · Proceedings of the AAAI Conference on Artificial Intelligence · 12
Open-set learning under covariate shift
2022 · Jie-Jing Shao, Xiao-Wen Yang, et al. · Machine Learning · 10
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LAMDA-SSL: a comprehensive semi-supervised learning toolkit
2023 · Lin-Han Jia, Lan-Zhe Guo, et al. · Science China Information Sciences · 9
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Offline Imitation Learning with Model-based Reverse Augmentation
2024 · Jie-Jing Shao, Hao-Sen Shi, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 8
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Learning from Imbalanced and Incomplete Supervision with Its Application to Ride-Sharing Liability Judgment
2021 · Lan-Zhe Guo, Zhi Zhou, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 8
Fully Test-time Adaptation for Tabular Data
2025 · Zhi Zhou, Kun-Yang Yu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 6
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LAMDA-SSL: Semi-Supervised Learning in Python
2022 · Jia, Lin-Han, Guo, Lan-Zhe, et al. · arXiv (Cornell University) · 5
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Robust Semi-supervised Representation Learning for Graph-Structured Data
2019 · Lan-Zhe Guo, Tao Han, et al. · Lecture notes in computer science · 5
D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning
2025 · Jia Zhang, Chen-Xi Zhang, et al. · International Joint Conference on Artificial Intelligence · 4
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DualMatch: Robust Semi-supervised Learning with Dual-Level Interaction
2023 · Cong Wang, Xiaofeng Cao, et al. · Lecture notes in computer science · 4
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Robust Deep Semi-Supervised Learning: A Brief Introduction
2022 · Guo, Lan-Zhe, Zhou, Zhi, et al. · arXiv (Cornell University) · 4
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Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness
2019 · Guo, Lan-Zhe, Li, Yu-Feng, et al. · arXiv (Cornell University) · 4
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Learning contrastive feature representations for facial action unit detection
2025 · Ziqiao Shang, Bin Liu, et al. · Pattern Recognition · 3
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Investigating the Limitation of CLIP Models: The Worst-Performing Categories
2023 · Shao, Jie-Jing, Shi, Jiang-Xin, et al. · arXiv (Cornell University) · 3
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Works count: 61
Citation count: 441
H-index: 12
I10-index: 13
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