| 2026 | AAAI | Step Back to Leap Forward: Self-Backtracking for Symbolic Reasoning and Planning in Language Models. | Xiao-Wen Yang, Xuan-Yi Zhu, Dingchu Zhang, Wen-Da Wei, Jie-Jing Shao, Zhi Zhou, Lan-Zhe Guo, Yufeng Li |
| 2026 | ACL | TabularMath: Understanding Math Reasoning over Tables with Large Language Models. | Shi-Yu Tian, Zhi Zhou, Wei Dong, Kun-Yang Yu, Ming Yang, Zi-Jian Cheng, Lan-Zhe Guo, Yufeng Li |
| 2026 | ACL | Aligning Agents via Planning: A Benchmark for Trajectory-Level Reward Modeling. | Jiaxuan Wang, Yulan Hu, Wenjin Yang, Zheng Pan, Xin Li, Lan-Zhe Guo |
| 2026 | WWW | Multi-field Balance-aware Calibration of Predictions in Online Advertising. | Zi-Kang Wang, Lei Gong, Shu-Ting Shi, Lan-Zhe Guo, Muyu Zhang |
| 2025 | AAAI | Fully Test-time Adaptation for Tabular Data. | Zhi Zhou, Kun-Yang Yu, Lan-Zhe Guo, Yufeng Li |
| 2025 | EMNLP | VCSearch: Bridging the Gap Between Well-Defined and Ill-Defined Problems in Mathematical Reasoning. | Shi-Yu Tian, Zhi Zhou, Kun-Yang Yu, Ming Yang, Lin-Han Jia, Lan-Zhe Guo, Yufeng Li |
| 2025 | ICML | TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments. | Zi-Jian Cheng, Ziyi Jia, Zhi Zhou, Yufeng Li, Lan-Zhe Guo |
| 2025 | ICML | Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible. | Lin-Han Jia, Wen-Chao Hu, Jie-Jing Shao, Lan-Zhe Guo, Yu-Feng Li |
| 2025 | ICML | Vision-Language Model Selection and Reuse for Downstream Adaptation. | Hao-Zhe Tan, Zhi Zhou, Yufeng Li, Lan-Zhe Guo |
| 2025 | IJCAI | Fully Test-Time Adaptation for Feature Decrement in Tabular Data. | Zi-Jian Cheng, Zi-Yi Jia, Kun-Yang Yu, Zhi Zhou, Lan-Zhe Guo |
| 2025 | IJCAI | BMIP: Bi-directional Modality Interaction Prompt Learning for VLM. | Song-Lin Lv, Yu-Yang Chen, Zhi Zhou, Ming Yang, Lan-Zhe Guo |
| 2025 | IJCAI | Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models. | Jie-Jing Shao, Hong-Jie You, Guohao Cai, Quanyu Dai, Zhenhua Dong, Lan-Zhe Guo |
| 2025 | IJCAI | Curriculum Abductive Learning for Mitigating Reasoning Shortcuts. | Wen-Da Wei, Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo |
| 2025 | IJCAI | 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, Lin-Han Jia, Wang-Zhou Dai, Yufeng Li |
| 2025 | IJCAI | 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 |
| 2025 | IJCAI | CGI: Identifying Conditional Generative Models with Example Images. | Zhi Zhou, Hao-Zhe Tan, Peng-Xiao Song, Lan-Zhe Guo |
| 2024 | ICLR | Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments. | Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yufeng Li |
| 2024 | ICML | DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection. | Zhi Zhou, Ming Yang, Jiang-Xin Shi, Lan-Zhe Guo, Yufeng Li |
| 2024 | KDD | Offline Imitation Learning with Model-based Reverse Augmentation. | Jie-Jing Shao, Hao-Sen Shi, Lan-Zhe Guo, Yu-Feng Li |
| 2023 | ICML | ODS: Test-Time Adaptation in the Presence of Open-World Data Shift. | Zhi Zhou, Lan-Zhe Guo, Lin-Han Jia, Dingchu Zhang, Yufeng Li |
| 2023 | ICML | Identifying Useful Learnwares for Heterogeneous Label Spaces. | Lan-Zhe Guo, Zhi Zhou, Yufeng Li, Zhi-Hua Zhou |
| 2023 | ICML | Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions. | Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Yuke Xiang, Yufeng Li |
| 2022 | ICML | Class-Imbalanced Semi-Supervised Learning with Adaptive Thresholding. | Lan-Zhe Guo, Yufeng Li |
| 2021 | KDD | Learning from Imbalanced and Incomplete Supervision with Its Application to Ride-Sharing Liability Judgment. | 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 |
| 2020 | AAAI | 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, Nan Ma, Xiao-Hu Qie |
| 2020 | ICML | Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data. | Lan-Zhe Guo, Zhenyu Zhang, Yuan Jiang, Yufeng Li, Zhi-Hua Zhou |
| 2020 | KDD | RECORD: Resource Constrained Semi-Supervised Learning under Distribution Shift. | Lan-Zhe Guo, Zhi Zhou, Yufeng Li |
| 2019 | PAKDD | Robust Semi-supervised Representation Learning for Graph-Structured Data. | Lan-Zhe Guo, Tao Han, Yufeng Li |
| 2018 | AAAI | A General Formulation for Safely Exploiting Weakly Supervised Data. | Lan-Zhe Guo, Yufeng Li |
| 2018 | ICDM | Large Margin Graph Construction for Semi-Supervised Learning. | Lan-Zhe Guo, Shao-Bo Wang, Yufeng Li |