A General Formulation for Safely Exploiting Weakly Supervised Data. - Lan-Zhe Guo; Yufeng Li 008 (AAAI, 2018)

Large Margin Graph Construction for Semi-Supervised Learning. - Lan-Zhe Guo; Shao-Bo Wang; Yufeng Li 008 (ICDM Workshops, 2018)

Learning safe multi-label prediction for weakly labeled data. - Tong Wei 001; Lan-Zhe Guo; Yufeng Li 008; Wei Gao 008 (Mach. Learn., 2018)

Robust Semi-supervised Representation Learning for Graph-Structured Data. - Lan-Zhe Guo; Tao Han; Yufeng Li 008 (PAKDD (3), 2019)

Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness. - Lan-Zhe Guo; Yufeng Li 008; Ming Li 005; Jinfeng Yi; Bowen Zhou 001; Zhi-Hua Zhou (CoRR, 2019)

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 008; Nan Ma; Xiao-Hu Qie (AAAI, 2020)

Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data. - Lan-Zhe Guo; Zhenyu Zhang; Yuan Jiang 001; Yufeng Li 008; Zhi-Hua Zhou (ICML, 2020)

RECORD: Resource Constrained Semi-Supervised Learning under Distribution Shift. - Lan-Zhe Guo; Zhi Zhou 007; Yufeng Li 008 (KDD, 2020)

Weakly Supervised Learning Meets Ride-Sharing User Experience Enhancement. - Lan-Zhe Guo; Feng Kuang; Zhang-Xun Liu; Yufeng Li 008; Nan Ma; Xiao-Hu Qie (CoRR, 2020)

Learning from Imbalanced and Incomplete Supervision with Its Application to Ride-Sharing Liability Judgment. - Lan-Zhe Guo; Zhi Zhou 007; Jie-Jing Shao; Qi Zhang; Feng Kuang; Gao-Le Li; Zhang-Xun Liu; Guobin Wu 001; Nan Ma; Qun (Tracy) Li; Yufeng Li 008 (KDD, 2021)

STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data. - Zhi Zhou 007; Lan-Zhe Guo; Zhanzhan Cheng; Yufeng Li 008; Shiliang Pu (NeurIPS, 2021)

Learning from group supervision: the impact of supervision deficiency on multi-label learning. - Miao Xu 001; Lan-Zhe Guo (Sci. China Inf. Sci., 2021)

Towards Safe Weakly Supervised Learning. - Yufeng Li 008; Lan-Zhe Guo; Zhi-Hua Zhou (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Interactive Graph Construction for Graph-Based Semi-Supervised Learning. - Changjian Chen; Zhaowei Wang; Jing Wu 004; Xiting Wang; Lan-Zhe Guo; Yufeng Li 008; Shixia Liu (IEEE Trans. Vis. Comput. Graph., 2021)

Class-Imbalanced Semi-Supervised Learning with Adaptive Thresholding. - Lan-Zhe Guo; Yufeng Li 008 (ICML, 2022)

Robust Semi-Supervised Learning when Not All Classes have Labels. - Lan-Zhe Guo; Yi-Ge Zhang; Zhi-Fan Wu; Jie-Jing Shao; Yufeng Li 008 (NeurIPS, 2022)

LOG: Active Model Adaptation for Label-Efficient OOD Generalization. - Jie-Jing Shao; Lan-Zhe Guo; Xiaowen Yang; Yufeng Li 008 (NeurIPS, 2022)

USB: A Unified Semi-supervised Learning Benchmark for Classification. - Yidong Wang; Hao Chen 102; Yue Fan; Wang Sun; Ran Tao 013; Wenxin Hou; Renjie Wang; Linyi Yang; Zhi Zhou 007; Lan-Zhe Guo; Heli Qi; Zhen Wu 002; et al. (NeurIPS, 2022)

LAMDA-SSL: Semi-Supervised Learning in Python. - Lin-Han Jia; Lan-Zhe Guo; Zhi Zhou 007; Yufeng Li 008 (CoRR, 2022)

USB: A Unified Semi-supervised Learning Benchmark. - Yidong Wang; Hao Chen 102; Yue Fan; Wang Sun; Ran Tao 013; Wenxin Hou; Renjie Wang; Linyi Yang; Zhi Zhou 007; Lan-Zhe Guo; Heli Qi; Zhen Wu 002; et al. (CoRR, 2022)

ODS: Test-Time Adaptation in the Presence of Open-World Data Shift. - Zhi Zhou 007; Lan-Zhe Guo; Lin-Han Jia; Dingchu Zhang; Yufeng Li 008 (ICML, 2023)

Identifying Useful Learnwares for Heterogeneous Label Spaces. - Lan-Zhe Guo; Zhi Zhou 007; Yufeng Li 008; Zhi-Hua Zhou (ICML, 2023)

Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions. - Lin-Han Jia; Lan-Zhe Guo; Zhi Zhou 007; Jie-Jing Shao; Yuke Xiang; Yufeng Li 008 (ICML, 2023)

Investigating the Limitation of CLIP Models: The Worst-Performing Categories. - Jie-Jing Shao; Jiang-Xin Shi; Xiaowen Yang; Lan-Zhe Guo; Yufeng Li 008 (CoRR, 2023)

Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments. - Lin-Han Jia; Lan-Zhe Guo; Zhi Zhou 007; Yufeng Li 008 (ICLR, 2024)

DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection. - Zhi Zhou 007; Ming Yang; Jiang-Xin Shi; Lan-Zhe Guo; Yufeng Li 008 (ICML, 2024)

Offline Imitation Learning with Model-based Reverse Augmentation. - Jie-Jing Shao; Hao-Sen Shi; Lan-Zhe Guo; Yu-Feng Li (KDD, 2024)

LAMDA-SSL: a comprehensive semi-supervised learning toolkit. - Lin-Han Jia; Lan-Zhe Guo; Zhi Zhou 007; Yufeng Li 008 (Sci. China Inf. Sci., 2024)

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

LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model. - Zhi Zhou 007; Jiang-Xin Shi; Peng-Xiao Song; Xiaowen Yang; Yi-Xuan Jin; Lan-Zhe Guo; Yufeng Li 008 (CoRR, 2024)

Robustness Assessment of Mathematical Reasoning in the Presence of Missing and Contradictory Conditions. - Shi-Yu Tian; Zhi Zhou 007; Lin-Han Jia; Lan-Zhe Guo; Yufeng Li 008 (CoRR, 2024)

Enabling Small Models for Zero-Shot Classification through Model Label Learning. - Jia Zhang; Zhi Zhou; Lan-Zhe Guo; Yu-Feng Li (CoRR, 2024)

You Only Submit One Image to Find the Most Suitable Generative Model. - Zhi Zhou 007; Lan-Zhe Guo; Peng-Xiao Song; Yufeng Li 008 (CoRR, 2024)

ChinaTravel: A Real-World Benchmark for Language Agents in Chinese Travel Planning. - Jie-Jing Shao; Xiao-Wen Yang; Bo-Wen Zhang; Baizhi Chen; Wen-Da Wei; Guohao Cai; Zhenhua Dong; Lan-Zhe Guo; Yu-feng Li (CoRR, 2024)

Robust Semi-Supervised Learning in Open Environments. - Lan-Zhe Guo; Lin-Han Jia; Jie-Jing Shao; Yu-Feng Li (CoRR, 2024)

Interactive Reweighting for Mitigating Label Quality Issues. - Weikai Yang; Yukai Guo; Jing Wu 004; Zheng Wang; Lan-Zhe Guo; Yufeng Li 008; Shixia Liu (IEEE Trans. Vis. Comput. Graph., 2024)

Open-set learning under covariate shift. - Jie-Jing Shao; Xiaowen Yang; Lan-Zhe Guo (Mach. Learn., 2024)

Transfer and share: semi-supervised learning from long-tailed data. - Tong Wei 001; Qian-Yu Liu; Jiang-Xin Shi; Wei-Wei Tu; Lan-Zhe Guo (Mach. Learn., 2024)

Fully Test-time Adaptation for Tabular Data. - Zhi Zhou; Kun-Yang Yu; Lan-Zhe Guo; Yu-Feng Li (AAAI, 2025)

BMIP: Bi-directional Modality Interaction Prompt Learning for VLM. - Song-Lin Lv; Yu-Yang Chen; Zhi Zhou; Ming Yang; Lan-Zhe Guo (CoRR, 2025)

CGI: Identifying Conditional Generative Models with Example Images. - Zhi Zhou 007; Hao-Zhe Tan; Peng-Xiao Song; Lan-Zhe Guo (CoRR, 2025)

Pre-Trained Vision-Language Model Selection and Reuse for Downstream Tasks. - Hao-Zhe Tan; Zhi Zhou; Lan-Zhe Guo; Yu-Feng Li (CoRR, 2025)

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environment. - Zi-Jian Cheng; Zi-Yi Jia; Zhi Zhou; Lan-Zhe Guo; Yu-Feng Li (CoRR, 2025)

Contrast-Aware Calibration for Fine-Tuned CLIP: Leveraging Image-Text Alignment. - Song-Lin Lv; Yu-Yang Chen; Zhi Zhou; Yu-Feng Li; Lan-Zhe Guo (CoRR, 2025)

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning. - Zhi Zhou; Tan Yuhao; Zenan Li; Yuan Yao 001; Lan-Zhe Guo; Xiaoxing Ma; Yu-Feng Li (CoRR, 2025)

Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models. - Xiao-Wen Yang; Xuan-Yi Zhu; Wen-Da Wei; Dingchu Zhang; Jie-Jing Shao; Zhi Zhou 007; Lan-Zhe Guo; Yufeng Li 008 (CoRR, 2025)

LawGPT: Knowledge-Guided Data Generation and Its Application to Legal LLM. - Zhi Zhou; Kun-Yang Yu; Shi-Yu Tian; Xiao-Wen Yang; Jiang-Xin Shi; Peng-Xiao Song; Yi-Xuan Jin; Lan-Zhe Guo; Yu-Feng Li (CoRR, 2025)

A Smooth Transition Between Induction and Deduction: Fast Abductive Learning Based on Probabilistic Symbol Perception. - Lin-Han Jia; Si-Yu Han; Lan-Zhe Guo; Zhi Zhou 007; Zhao-Long Li; Yufeng Li 008; Zhi-Hua Zhou (CoRR, 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 (CoRR, 2025)

Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible. - Lin-Han Jia; Wen-Chao Hu; Jie-Jing Shao; Lan-Zhe Guo; Yu-Feng Li (CoRR, 2025)

Micro Text Classification Based on Balanced Positive-Unlabeled Learning. - Lin-Han Jia; Lan-Zhe Guo; Zhi Zhou 007; Si-Ye Han; Zi-Wen Li; Yufeng Li 008 (CoRR, 2025)

Unlabeled Data or Pre-trained Model: Rethinking Semi-Supervised Learning and Pretrain-Finetuning. - Song-Lin Lv; Rui Zhu; Yu-Feng Li; Lan-Zhe Guo (CoRR, 2025)

Realistic Evaluation of TabPFN v2 in Open Environments. - Zi-Jian Cheng; Zi-Yi Jia; Zhi Zhou; Yu-Feng Li; Lan-Zhe Guo (CoRR, 2025)

NeSyGeo: A Neuro-Symbolic Framework for Multimodal Geometric Reasoning Data Generation. - Weiming Wu; Zi-kang Wang; Jin Ye; Zhi Zhou; Yu-Feng Li; Lan-Zhe Guo (CoRR, 2025)

Automated Text-to-Table for Reasoning-Intensive Table QA: Pipeline Design and Benchmarking Insights. - Shi-Yu Tian; Zhi Zhou; Wei Dong; Ming Yang; Kun-Yang Yu; Zi-Jian Cheng; Lan-Zhe Guo; Yu-Feng Li (CoRR, 2025)

When Is Prior Knowledge Helpful? Exploring the Evaluation and Selection of Unsupervised Pretext Tasks from a Neuro-Symbolic Perspective. - Lin-Han Jia; Si-Yu Han; Wen-Chao Hu; Jie-Jing Shao; Wen-Da Wei; Zhi Zhou 007; Lan-Zhe Guo; Yufeng Li 008 (CoRR, 2025)

Beyond Single: A Data Selection Principle for LLM Alignment via Fine-Grained Preference Signals. - Jia Zhang; Yao Liu; Chen-Xi Zhang; Yi Liu; Yi-Xuan Jin; Lan-Zhe Guo; Yu-Feng Li (CoRR, 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 007; Lin-Han Jia; Wang-Zhou Dai; Yufeng Li 008 (CoRR, 2025)

Robust semi-supervised learning in open environments. - Lan-Zhe Guo; Lin-Han Jia; Jie-Jing Shao; Yufeng Li 008 (Frontiers Comput. Sci., 2025)