Shao, Jie-Jing

12 publications

IJCAI 2025 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

IJCAI 2025 Curriculum Abductive Learning for Mitigating Reasoning Shortcuts Wen-Da Wei, Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo

IJCAI 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, Lin-Han Jia, Wang-Zhou Dai, Yufeng Li

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

ICML 2024 Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts Xiao-Wen Yang, Wen-Da Wei, Jie-Jing Shao, Yu-Feng Li, Zhi-Hua Zhou

ICML 2024 Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts Jiang-Xin Shi, Tong Wei, Zhi Zhou, Jie-Jing Shao, Xin-Yan Han, Yu-Feng Li

MLJ 2024 Open-Set Learning Under Covariate Shift Jie-Jing Shao, Xiaowen Yang, Lan-Zhe Guo

AAAI 2024 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

ICML 2023 Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Yuke Xiang, Yu-Feng Li

NeurIPS 2022 LOG: Active Model Adaptation for Label-Efficient OOD Generalization Jie-Jing Shao, Lan-Zhe Guo, Xiao-wen Yang, Yu-Feng Li

NeurIPS 2022 Robust Semi-Supervised Learning When Not All Classes Have Labels Lan-Zhe Guo, Yi-Ge Zhang, Zhi-Fan Wu, Jie-Jing Shao, Yu-Feng Li

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