Towards Robust Model Reuse in the Presence of Latent Domains. - Jie-Jing Shao; Zhanzhan Cheng; Yufeng Li 008; Shiliang Pu (IJCAI, 2021)

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)

Active Model Adaptation Under Unknown Shift. - Jie-Jing Shao; Yunlu Xu; Zhanzhan Cheng; Yufeng Li 008 (KDD, 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)

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)

Parameter-Efficient Long-Tailed Recognition. - Jiang-Xin Shi; Tong Wei 001; Zhi Zhou 007; Xin-Yan Han; Jie-Jing Shao; Yufeng Li 008 (CoRR, 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)

Safe Abductive Learning in the Presence of Inaccurate Rules. - Xiaowen Yang; Jie-Jing Shao; Wei-Wei Tu; Yufeng Li 008; Wang-Zhou Dai; Zhi-Hua Zhou (AAAI, 2024)

Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts. - Jiang-Xin Shi; Tong Wei 001; Zhi Zhou 007; Jie-Jing Shao; Xin-Yan Han; Yufeng Li 008 (ICML, 2024)

Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts. - Xiaowen Yang; Wenda Wei; Jie-Jing Shao; Yufeng Li 008; Zhi-Hua Zhou (ICML, 2024)

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

Learning for Long-Horizon Planning via Neuro-Symbolic Abductive Imitation. - Jie-Jing Shao; Hao-Ran Hao 002; Xiao-Wen Yang; Yu-Feng Li (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)

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

Abductive Learning for Neuro-Symbolic Grounded Imitation. - Jie-Jing Shao; Hao-Ran Hao 002; Xiao-Wen Yang; Yu-Feng Li (KDD (1), 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)

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)

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)

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)