Jie-Jing Shao

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 12

Top Topics

Manifold Regularization

Labeled Examples

Supervised Classifiers

Covariate Shift

Top Venues

Publications

Jie-Jing Shao, Hao-Sen Shi, Lan-Zhe Guo, Yu-Feng Li
Offline Imitation Learning with Model-based Reverse Augmentation. KDD (2024)
Xiaowen Yang, Jie-Jing Shao, Wei-Wei Tu, Yufeng Li, Wang-Zhou Dai, Zhi-Hua Zhou
Safe Abductive Learning in the Presence of Inaccurate Rules. AAAI (2024)
Jie-Jing Shao, Hao-Sen Shi, Lan-Zhe Guo, Yu-Feng Li
Offline Imitation Learning with Model-based Reverse Augmentation. CoRR (2024)
Jie-Jing Shao, Xiaowen Yang, Lan-Zhe Guo
Open-set learning under covariate shift. Mach. Learn. 113 (4) (2024)
Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Yuke Xiang, Yu-Feng Li
Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions. ICML (2023)
Jie-Jing Shao, Jiang-Xin Shi, Xiaowen Yang, Lan-Zhe Guo, Yu-Feng Li
Investigating the Limitation of CLIP Models: The Worst-Performing Categories. CoRR (2023)
Jiang-Xin Shi, Tong Wei, Zhi Zhou, Xin-Yan Han, Jie-Jing Shao, Yu-Feng Li
Parameter-Efficient Long-Tailed Recognition. CoRR (2023)
Jie-Jing Shao, Lan-Zhe Guo, Xiaowen Yang, Yu-Feng Li
LOG: Active Model Adaptation for Label-Efficient OOD Generalization. NeurIPS (2022)
Jie-Jing Shao, Yunlu Xu, Zhanzhan Cheng, Yu-Feng Li
Active Model Adaptation Under Unknown Shift. KDD (2022)
Lan-Zhe Guo, Yi-Ge Zhang, Zhi-Fan Wu, Jie-Jing Shao, Yu-Feng Li
Robust Semi-Supervised Learning when Not All Classes have Labels. NeurIPS (2022)
Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Qi Zhang, Feng Kuang, Gao-Le Li, Zhang-Xun Liu, Guobin Wu, Nan Ma, Qun Li, Yu-Feng Li
Learning from Imbalanced and Incomplete Supervision with Its Application to Ride-Sharing Liability Judgment. KDD (2021)
Jie-Jing Shao, Zhanzhan Cheng, Yu-Feng Li, Shiliang Pu
Towards Robust Model Reuse in the Presence of Latent Domains. IJCAI (2021)