Lan-Zhe Guo

86 papers A* 30Journal 54Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Progressive Visual-Logic-Aligned Framework for Ride-Hailing Adjudication.
CoRR
Weiming Wu, Zi-Jian Cheng, Jie Meng, Peng Zhen, Shan Huang, Qun Li, Guobin Wu, Lan-Zhe Guo
2026 J jnl
Hindsight Credit Assignment for Long-Horizon LLM Agents.
CoRR
Hui-Ze Tan, Xiao-Wen Yang, Hao Chen, Jie-Jing Shao, Yi Wen, Yuteng Shen, Weihong Luo, Xiku Du, Lan-Zhe Guo, Yu-Feng Li
2026 J jnl
Learning contrastive feature representations for facial action unit detection.
Pattern Recognit.
Ziqiao Shang, Bin Liu, Fengmao Lv, Fei Teng, Tianrui Li, Lan-Zhe Guo
2026 J jnl
MapTab: Can MLLMs Master Constrained Route Planning?
CoRR
Ziqiao Shang, Lingyue Ge, Yang Chen, Shi-Yu Tian, Zhenyu Huang, Wenbo Fu, Yu-Feng Li, Lan-Zhe Guo
2026 A* conf
Multi-field Balance-aware Calibration of Predictions in Online Advertising.
WWW
Zi-Kang Wang, Lei Gong, Shu-Ting Shi, Lan-Zhe Guo, Muyu Zhang
2026 J jnl
NeSy-Route: A Neuro-Symbolic Benchmark for Constrained Route Planning in Remote Sensing.
CoRR
Ming Yang, Zhi Zhou, Shi-Yu Tian, Kun-Yang Yu, Lan-Zhe Guo, Yufeng Li
2026 A* conf
Step Back to Leap Forward: Self-Backtracking for Symbolic Reasoning and Planning in Language Models.
AAAI
Xiao-Wen Yang, Xuan-Yi Zhu, Dingchu Zhang, Wen-Da Wei, Jie-Jing Shao, Zhi Zhou, Lan-Zhe Guo, Yufeng Li
2026 J jnl
Thinking with Tables: Enhancing Multi-Modal Tabular Understanding via Neuro-Symbolic Reasoning.
CoRR
Kun-Yang Yu, Zhi Zhou, Shi-Yu Tian, Xiao-Wen Yang, Zi-Yi Jia, Ming Yang, Zi-Jian Cheng, Lan-Zhe Guo, Yufeng Li
2025 J jnl
A Smooth Transition Between Induction and Deduction: Fast Abductive Learning Based on Probabilistic Symbol Perception.
CoRR
Lin-Han Jia, Si-Yu Han, Lan-Zhe Guo, Zhi Zhou, Zhao-Long Li, Yufeng Li, Zhi-Hua Zhou
2025 J jnl
A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning.
CoRR
Zhi Zhou, Tan Yuhao, Zenan Li, Yuan Yao, Lan-Zhe Guo, Yufeng Li, Xiaoxing Ma
2025 J jnl
Automated Text-to-Table for Reasoning-Intensive Table QA: Pipeline Design and Benchmarking Insights.
CoRR
Shi-Yu Tian, Zhi Zhou, Wei Dong, Ming Yang, Kun-Yang Yu, Zi-Jian Cheng, Lan-Zhe Guo, Yufeng Li
2025 A* conf
BMIP: Bi-directional Modality Interaction Prompt Learning for VLM.
IJCAI
Song-Lin Lv, Yu-Yang Chen, Zhi Zhou, Ming Yang, Lan-Zhe Guo
2025 J jnl
BMIP: Bi-directional Modality Interaction Prompt Learning for VLM.
CoRR
Song-Lin Lv, Yu-Yang Chen, Zhi Zhou, Ming Yang, Lan-Zhe Guo
2025 J jnl
Beyond Single: A Data Selection Principle for LLM Alignment via Fine-Grained Preference Signals.
CoRR
Jia Zhang, Yao Liu, Chen-Xi Zhang, Yi Liu, Yi-Xuan Jin, Lan-Zhe Guo, Yu-Feng Li
2025 J jnl
Bi-CoG: Bi-Consistency-Guided Self-Training for Vision-Language Models.
CoRR
Rui Zhu, Song-Lin Lv, Zi-Kang Wang, Lan-Zhe Guo
2025 A* conf
Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models.
IJCAI
Jie-Jing Shao, Hong-Jie You, Guohao Cai, Quanyu Dai, Zhenhua Dong, Lan-Zhe Guo
2025 J jnl
Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning.
CoRR
Zhi Zhou, Tan Yuhao, Zenan Li, Yuan Yao, Lan-Zhe Guo, Xiaoxing Ma, Yufeng Li
2025 A* conf
CGI: Identifying Conditional Generative Models with Example Images.
IJCAI
Zhi Zhou, Hao-Zhe Tan, Peng-Xiao Song, Lan-Zhe Guo
2025 J jnl
CGI: Identifying Conditional Generative Models with Example Images.
CoRR
Zhi Zhou, Hao-Zhe Tan, Peng-Xiao Song, Lan-Zhe Guo
2025 J jnl
Contrast-Aware Calibration for Fine-Tuned CLIP: Leveraging Image-Text Alignment.
CoRR
Song-Lin Lv, Yu-Yang Chen, Zhi Zhou, Yufeng Li, Lan-Zhe Guo
2025 A* conf
Curriculum Abductive Learning for Mitigating Reasoning Shortcuts.
IJCAI
Wen-Da Wei, Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo
2025 A* conf
D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning.
IJCAI
Jia Zhang, Chen-Xi Zhang, Yao Liu, Yi-Xuan Jin, Xiao-Wen Yang, Bo Zheng, Yi Liu, Lan-Zhe Guo
2025 J jnl
D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning.
CoRR
Jia Zhang, Chen-Xi Zhang, Yao Liu, Yi-Xuan Jin, Xiao-Wen Yang, Bo Zheng, Yi Liu, Lan-Zhe Guo
2025 J jnl
FormalML: A Benchmark for Evaluating Formal Subgoal Completion in Machine Learning Theory.
CoRR
Xiao-Wen Yang, Zihao Zhang, Jianuo Cao, Zhi Zhou, Zenan Li, Lan-Zhe Guo, Yuan Yao, Taolue Chen, Yufeng Li, Xiaoxing Ma
2025 A* conf
Fully Test-Time Adaptation for Feature Decrement in Tabular Data.
IJCAI
Zi-Jian Cheng, Zi-Yi Jia, Kun-Yang Yu, Zhi Zhou, Lan-Zhe Guo
2025 A* conf
Fully Test-time Adaptation for Tabular Data.
AAAI
Zhi Zhou, Kun-Yang Yu, Lan-Zhe Guo, Yufeng Li
2025 J jnl
LawGPT: Knowledge-Guided Data Generation and Its Application to Legal LLM.
CoRR
Zhi Zhou, Kun-Yang Yu, Shi-Yu Tian, Xiao-Wen Yang, Jiang-Xin Shi, Peng-Xiao Song, Yi-Xuan Jin, Lan-Zhe Guo, Yufeng Li
2025 J jnl
Micro Text Classification Based on Balanced Positive-Unlabeled Learning.
CoRR
Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Si-Ye Han, Zi-Wen Li, Yufeng Li
2025 J jnl
NeSyGeo: A Neuro-Symbolic Framework for Multimodal Geometric Reasoning Data Generation.
CoRR
Weiming Wu, Zi-Kang Wang, Jin Ye, Zhi Zhou, Yufeng Li, Lan-Zhe Guo
2025 A* conf
Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models.
IJCAI
Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo, Bo-Wen Zhang, Zhi Zhou, Lin-Han Jia, Wang-Zhou Dai, Yufeng Li
2025 J jnl
Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models.
CoRR
Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo, Bo-Wen Zhang, Zhi Zhou, Lin-Han Jia, Wang-Zhou Dai, Yufeng Li
2025 J jnl
Pianist Transformer: Towards Expressive Piano Performance Rendering via Scalable Self-Supervised Pre-Training.
CoRR
Hong-Jie You, Jie-Jing Shao, Xiao-Wen Yang, Lin-Han Jia, Lan-Zhe Guo, Yu-Feng Li
2025 J jnl
Pre-Trained Vision-Language Model Selection and Reuse for Downstream Tasks.
CoRR
Hao-Zhe Tan, Zhi Zhou, Lan-Zhe Guo, Yufeng Li
2025 J jnl
Realistic Evaluation of TabPFN v2 in Open Environments.
CoRR
Zi-Jian Cheng, Zi-Yi Jia, Zhi Zhou, Yufeng Li, Lan-Zhe Guo
2025 J jnl
Robust semi-supervised learning in open environments.
Frontiers Comput. Sci.
Lan-Zhe Guo, Lin-Han Jia, Jie-Jing Shao, Yufeng Li
2025 J jnl
Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models.
CoRR
Xiao-Wen Yang, Xuan-Yi Zhu, Wen-Da Wei, Dingchu Zhang, Jie-Jing Shao, Zhi Zhou, Lan-Zhe Guo, Yufeng Li
2025 J jnl
TabFSBench: Tabular Benchmark for Feature Shifts in Open Environment.
CoRR
Zi-Jian Cheng, Zi-Yi Jia, Zhi Zhou, Lan-Zhe Guo, Yufeng Li
2025 A* conf
TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments.
ICML
Zi-Jian Cheng, Ziyi Jia, Zhi Zhou, Yufeng Li, Lan-Zhe Guo
2025 J jnl
Unlabeled Data or Pre-trained Model: Rethinking Semi-Supervised Learning and Pretrain-Finetuning.
CoRR
Song-Lin Lv, Rui Zhu, Yu-Feng Li, Lan-Zhe Guo
2025 A* conf
VCSearch: Bridging the Gap Between Well-Defined and Ill-Defined Problems in Mathematical Reasoning.
EMNLP
Shi-Yu Tian, Zhi Zhou, Kun-Yang Yu, Ming Yang, Lin-Han Jia, Lan-Zhe Guo, Yufeng Li
2025 A* conf
Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible.
ICML
Lin-Han Jia, Wen-Chao Hu, Jie-Jing Shao, Lan-Zhe Guo, Yu-Feng Li
2025 J jnl
Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible.
CoRR
Lin-Han Jia, Wen-Chao Hu, Jie-Jing Shao, Lan-Zhe Guo, Yu-Feng Li
2025 A* conf
Vision-Language Model Selection and Reuse for Downstream Adaptation.
ICML
Hao-Zhe Tan, Zhi Zhou, Yufeng Li, Lan-Zhe Guo
2025 J jnl
When Is Prior Knowledge Helpful? Exploring the Evaluation and Selection of Unsupervised Pretext Tasks from a Neuro-Symbolic Perspective.
CoRR
Lin-Han Jia, Si-Yu Han, Wen-Chao Hu, Jie-Jing Shao, Wen-Da Wei, Zhi Zhou, Lan-Zhe Guo, Yufeng Li
2024 J jnl
ChinaTravel: A Real-World Benchmark for Language Agents in Chinese Travel Planning.
CoRR
Jie-Jing Shao, Xiao-Wen Yang, Bo-Wen Zhang, Baizhi Chen, Wen-Da Wei, Guohao Cai, Zhenhua Dong, Lan-Zhe Guo, Yu-Feng Li
2024 A* conf
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection.
ICML
Zhi Zhou, Ming Yang, Jiang-Xin Shi, Lan-Zhe Guo, Yufeng Li
2024 J jnl
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection.
CoRR
Zhi Zhou, Ming Yang, Jiang-Xin Shi, Lan-Zhe Guo, Yufeng Li
2024 J jnl
Enabling Small Models for Zero-Shot Classification through Model Label Learning.
CoRR
Jia Zhang, Zhi Zhou, Lan-Zhe Guo, Yufeng Li
2024 J jnl
Fully Test-time Adaptation for Tabular Data.
CoRR
Zhi Zhou, Kun-Yang Yu, Lan-Zhe Guo, Yufeng Li
2024 J jnl
Interactive Reweighting for Mitigating Label Quality Issues.
IEEE Trans. Vis. Comput. Graph.
Weikai Yang, Yukai Guo, Jing Wu, Zheng Wang, Lan-Zhe Guo, Yufeng Li, Shixia Liu
2024 J jnl
LAMDA-SSL: a comprehensive semi-supervised learning toolkit.
Sci. China Inf. Sci.
Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yufeng Li
2024 J jnl
LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model.
CoRR
Zhi Zhou, Jiang-Xin Shi, Peng-Xiao Song, Xiaowen Yang, Yi-Xuan Jin, Lan-Zhe Guo, Yufeng Li
2024 A* conf
Offline Imitation Learning with Model-based Reverse Augmentation.
KDD
Jie-Jing Shao, Hao-Sen Shi, Lan-Zhe Guo, Yu-Feng Li
2024 J jnl
Offline Imitation Learning with Model-based Reverse Augmentation.
CoRR
Jie-Jing Shao, Hao-Sen Shi, Lan-Zhe Guo, Yu-Feng Li
2024 J jnl
Open-set learning under covariate shift.
Mach. Learn.
Jie-Jing Shao, Xiaowen Yang, Lan-Zhe Guo
2024 A* conf
Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments.
ICLR
Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yufeng Li
2024 J jnl
Robust Semi-Supervised Learning in Open Environments.
CoRR
Lan-Zhe Guo, Lin-Han Jia, Jie-Jing Shao, Yu-Feng Li
2024 J jnl
Robustness Assessment of Mathematical Reasoning in the Presence of Missing and Contradictory Conditions.
CoRR
Shi-Yu Tian, Zhi Zhou, Lin-Han Jia, Lan-Zhe Guo, Yufeng Li
2024 J jnl
Transfer and share: semi-supervised learning from long-tailed data.
Mach. Learn.
Tong Wei, Qian-Yu Liu, Jiang-Xin Shi, Wei-Wei Tu, Lan-Zhe Guo
2024 J jnl
You Only Submit One Image to Find the Most Suitable Generative Model.
CoRR
Zhi Zhou, Lan-Zhe Guo, Peng-Xiao Song, Yufeng Li
2023 A* conf
Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions.
ICML
Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Yuke Xiang, Yufeng Li
2023 A* conf
Identifying Useful Learnwares for Heterogeneous Label Spaces.
ICML
Lan-Zhe Guo, Zhi Zhou, Yufeng Li, Zhi-Hua Zhou
2023 J jnl
Interactive Reweighting for Mitigating Label Quality Issues.
CoRR
Weikai Yang, Yukai Guo, Jing Wu, Zheng Wang, Lan-Zhe Guo, Yufeng Li, Shixia Liu
2023 J jnl
Investigating the Limitation of CLIP Models: The Worst-Performing Categories.
CoRR
Jie-Jing Shao, Jiang-Xin Shi, Xiaowen Yang, Lan-Zhe Guo, Yufeng Li
2023 A* conf
ODS: Test-Time Adaptation in the Presence of Open-World Data Shift.
ICML
Zhi Zhou, Lan-Zhe Guo, Lin-Han Jia, Dingchu Zhang, Yufeng Li
2022 A* conf
Class-Imbalanced Semi-Supervised Learning with Adaptive Thresholding.
ICML
Lan-Zhe Guo, Yufeng Li
2022 J jnl
LAMDA-SSL: Semi-Supervised Learning in Python.
CoRR
Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yufeng Li
2022 A* conf
LOG: Active Model Adaptation for Label-Efficient OOD Generalization.
NeurIPS
Jie-Jing Shao, Lan-Zhe Guo, Xiaowen Yang, Yufeng Li
2022 A* conf
Robust Semi-Supervised Learning when Not All Classes have Labels.
NeurIPS
Lan-Zhe Guo, Yi-Ge Zhang, Zhi-Fan Wu, Jie-Jing Shao, Yufeng Li
2022 J jnl
Transfer and Share: Semi-Supervised Learning from Long-Tailed Data.
CoRR
Tong Wei, Qian-Yu Liu, Jiang-Xin Shi, Wei-Wei Tu, Lan-Zhe Guo
2022 A* conf
USB: A Unified Semi-supervised Learning Benchmark for Classification.
NeurIPS
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
2022 J jnl
USB: A Unified Semi-supervised Learning Benchmark.
CoRR
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
2021 J jnl
Interactive Graph Construction for Graph-Based Semi-Supervised Learning.
IEEE Trans. Vis. Comput. Graph.
Changjian Chen, Zhaowei Wang, Jing Wu, Xiting Wang, Lan-Zhe Guo, Yufeng Li, Shixia Liu
2021 A* conf
Learning from Imbalanced and Incomplete Supervision with Its Application to Ride-Sharing Liability Judgment.
KDD
Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Qi Zhang, Feng Kuang, Gao-Le Li, Zhang-Xun Liu, Guobin Wu, Nan Ma, Qun (Tracy) Li, Yufeng Li
2021 J jnl
Learning from group supervision: the impact of supervision deficiency on multi-label learning.
Sci. China Inf. Sci.
Miao Xu, Lan-Zhe Guo
2021 A* conf
STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data.
NeurIPS
Zhi Zhou, Lan-Zhe Guo, Zhanzhan Cheng, Yufeng Li, Shiliang Pu
2021 J jnl
Towards Safe Weakly Supervised Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Yufeng Li, Lan-Zhe Guo, Zhi-Hua Zhou
2020 A* conf
IWE-Net: Instance Weight Network for Locating Negative Comments and its application to improve Traffic User Experience.
AAAI
Lan-Zhe Guo, Feng Kuang, Zhang-Xun Liu, Yufeng Li, Nan Ma, Xiao-Hu Qie
2020 A* conf
RECORD: Resource Constrained Semi-Supervised Learning under Distribution Shift.
KDD
Lan-Zhe Guo, Zhi Zhou, Yufeng Li
2020 A* conf
Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data.
ICML
Lan-Zhe Guo, Zhenyu Zhang, Yuan Jiang, Yufeng Li, Zhi-Hua Zhou
2020 J jnl
Weakly Supervised Learning Meets Ride-Sharing User Experience Enhancement.
CoRR
Lan-Zhe Guo, Feng Kuang, Zhang-Xun Liu, Yufeng Li, Nan Ma, Xiao-Hu Qie
2019 J jnl
Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness.
CoRR
Lan-Zhe Guo, Yufeng Li, Ming Li, Jinfeng Yi, Bowen Zhou, Zhi-Hua Zhou
2019 — conf
Robust Semi-supervised Representation Learning for Graph-Structured Data.
PAKDD (3)
Lan-Zhe Guo, Tao Han, Yufeng Li
2018 A* conf
A General Formulation for Safely Exploiting Weakly Supervised Data.
AAAI
Lan-Zhe Guo, Yufeng Li
2018 — conf
Large Margin Graph Construction for Semi-Supervised Learning.
ICDM Workshops
Lan-Zhe Guo, Shao-Bo Wang, Yufeng Li
2018 J jnl
Learning safe multi-label prediction for weakly labeled data.
Mach. Learn.
Tong Wei, Lan-Zhe Guo, Yufeng Li, Wei Gao