Jie-Jing Shao

According to our database, Jie-Jing Shao authored at least 24 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Robust semi-supervised learning in open environments.

Lan-Zhe Guo, Lin-Han Jia, Jie-Jing Shao, Yufeng Li

Frontiers Comput. Sci., August, 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, Lan-Zhe Guo, Yufeng Li

CoRR, August, 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, Lan-Zhe Guo, Yufeng Li

CoRR, February, 2025

Abductive Learning for Neuro-Symbolic Grounded Imitation.

Jie-Jing Shao, Hao-Ran Hao, Xiao-Wen Yang, Yu-Feng Li

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 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

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Curriculum Abductive Learning for Mitigating Reasoning Shortcuts.

Wen-Da Wei, Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible.

Lin-Han Jia, Wen-Chao Hu, Jie-Jing Shao, Lan-Zhe Guo, Yu-Feng Li

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Open-set learning under covariate shift.

Jie-Jing Shao, Xiaowen Yang, Lan-Zhe Guo

Mach. Learn., April, 2024

Robust Semi-Supervised Learning in Open Environments.

Lan-Zhe Guo, Lin-Han Jia, Jie-Jing Shao, 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

Learning for Long-Horizon Planning via Neuro-Symbolic Abductive Imitation.

Jie-Jing Shao, Hao-Ran Hao, Xiao-Wen Yang, Yu-Feng Li

CoRR, 2024

Offline Imitation Learning with Model-based Reverse Augmentation.

Jie-Jing Shao, Hao-Sen Shi, Lan-Zhe Guo, Yu-Feng Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts.

Xiaowen Yang, Wenda Wei, Jie-Jing Shao, Yufeng Li, Zhi-Hua Zhou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Investigating the Limitation of CLIP Models: The Worst-Performing Categories.

Jie-Jing Shao, Jiang-Xin Shi, Xiaowen Yang, Lan-Zhe Guo, Yufeng Li

CoRR, 2023

Parameter-Efficient Long-Tailed Recognition.

Jiang-Xin Shi, Tong Wei, Zhi Zhou, Xin-Yan Han, Jie-Jing Shao, Yufeng Li

CoRR, 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, Yufeng Li

Proceedings of the International Conference on Machine Learning, 2023

2022

LOG: Active Model Adaptation for Label-Efficient OOD Generalization.

Jie-Jing Shao, Lan-Zhe Guo, Xiaowen Yang, Yufeng Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Active Model Adaptation Under Unknown Shift.

Jie-Jing Shao, Yunlu Xu, Zhanzhan Cheng, Yufeng Li

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Towards Robust Model Reuse in the Presence of Latent Domains.

Jie-Jing Shao, Zhanzhan Cheng, Yufeng Li, Shiliang Pu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021