Jie-Jing Shao

30 papers A* 15Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
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 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
2025 — conf
Abductive Learning for Neuro-Symbolic Grounded Imitation.
KDD (1)
Jie-Jing Shao, Hao-Ran Hao, Xiao-Wen Yang, Yu-Feng Li
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 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
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
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 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 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 A* conf
Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts.
ICML
Xiaowen Yang, Wenda Wei, Jie-Jing Shao, Yufeng Li, Zhi-Hua Zhou
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 J jnl
Learning for Long-Horizon Planning via Neuro-Symbolic Abductive Imitation.
CoRR
Jie-Jing Shao, Hao-Ran Hao, Xiao-Wen Yang, Yu-Feng Li
2024 A* conf
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts.
ICML
Jiang-Xin Shi, Tong Wei, Zhi Zhou, Jie-Jing Shao, Xin-Yan Han, 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 J jnl
Robust Semi-Supervised Learning in Open Environments.
CoRR
Lan-Zhe Guo, Lin-Han Jia, Jie-Jing Shao, Yu-Feng Li
2024 A* conf
Safe Abductive Learning in the Presence of Inaccurate Rules.
AAAI
Xiaowen Yang, Jie-Jing Shao, Wei-Wei Tu, Yufeng Li, Wang-Zhou Dai, Zhi-Hua Zhou
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 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 J jnl
Parameter-Efficient Long-Tailed Recognition.
CoRR
Jiang-Xin Shi, Tong Wei, Zhi Zhou, Xin-Yan Han, Jie-Jing Shao, Yufeng Li
2022 A* conf
Active Model Adaptation Under Unknown Shift.
KDD
Jie-Jing Shao, Yunlu Xu, Zhanzhan Cheng, 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
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 A* conf
Towards Robust Model Reuse in the Presence of Latent Domains.
IJCAI
Jie-Jing Shao, Zhanzhan Cheng, Yufeng Li, Shiliang Pu