| 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 |
| 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 | 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 | KDD | Abductive Learning for Neuro-Symbolic Grounded Imitation. | Jie-Jing Shao, Hao-Ran Hao, Xiao-Wen Yang, Yu-Feng Li |
| 2024 | AAAI | Safe Abductive Learning in the Presence of Inaccurate Rules. | Xiaowen Yang, Jie-Jing Shao, Wei-Wei Tu, Yufeng Li, Wang-Zhou Dai, Zhi-Hua Zhou |
| 2024 | ICML | Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts. | Jiang-Xin Shi, Tong Wei, Zhi Zhou, Jie-Jing Shao, Xin-Yan Han, Yufeng Li |
| 2024 | ICML | Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts. | Xiaowen Yang, Wenda Wei, Jie-Jing Shao, Yufeng Li, Zhi-Hua Zhou |
| 2024 | KDD | Offline Imitation Learning with Model-based Reverse Augmentation. | Jie-Jing Shao, Hao-Sen Shi, Lan-Zhe Guo, Yu-Feng Li |
| 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 | KDD | Active Model Adaptation Under Unknown Shift. | Jie-Jing Shao, Yunlu Xu, Zhanzhan Cheng, Yufeng Li |
| 2021 | IJCAI | Towards Robust Model Reuse in the Presence of Latent Domains. | Jie-Jing Shao, Zhanzhan Cheng, Yufeng Li, Shiliang Pu |
| 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 |