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Jie-Jing Shao
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2020 – today
- 2024
- [j1]Jie-Jing Shao, Xiaowen Yang, Lan-Zhe Guo:
Open-set learning under covariate shift. Mach. Learn. 113(4): 1643-1659 (2024) - [c10]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: 16361-16369 - [c9]Jiang-Xin Shi, Tong Wei, Zhi Zhou, Jie-Jing Shao, Xin-Yan Han, Yufeng Li:
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts. ICML 2024 - [c8]Xiaowen Yang, Wenda Wei, Jie-Jing Shao, Yu-Feng Li, Zhi-Hua Zhou:
Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts. ICML 2024 - [c7]Jie-Jing Shao, Hao-Sen Shi, Lan-Zhe Guo, Yu-Feng Li:
Offline Imitation Learning with Model-based Reverse Augmentation. KDD 2024: 2608-2617 - [i3]Jie-Jing Shao, Hao-Sen Shi, Lan-Zhe Guo, Yu-Feng Li:
Offline Imitation Learning with Model-based Reverse Augmentation. CoRR abs/2406.12550 (2024) - 2023
- [c6]Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Yuke Xiang, Yufeng Li:
Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions. ICML 2023: 14886-14901 - [i2]Jiang-Xin Shi, Tong Wei, Zhi Zhou, Xin-Yan Han, Jie-Jing Shao, Yufeng Li:
Parameter-Efficient Long-Tailed Recognition. CoRR abs/2309.10019 (2023) - [i1]Jie-Jing Shao, Jiang-Xin Shi, Xiaowen Yang, Lan-Zhe Guo, Yufeng Li:
Investigating the Limitation of CLIP Models: The Worst-Performing Categories. CoRR abs/2310.03324 (2023) - 2022
- [c5]Jie-Jing Shao, Yunlu Xu, Zhanzhan Cheng, Yufeng Li:
Active Model Adaptation Under Unknown Shift. KDD 2022: 1558-1566 - [c4]Lan-Zhe Guo, Yi-Ge Zhang, Zhi-Fan Wu, Jie-Jing Shao, Yufeng Li:
Robust Semi-Supervised Learning when Not All Classes have Labels. NeurIPS 2022 - [c3]Jie-Jing Shao, Lan-Zhe Guo, Xiaowen Yang, Yufeng Li:
LOG: Active Model Adaptation for Label-Efficient OOD Generalization. NeurIPS 2022 - 2021
- [c2]Jie-Jing Shao, Zhanzhan Cheng, Yufeng Li, Shiliang Pu:
Towards Robust Model Reuse in the Presence of Latent Domains. IJCAI 2021: 2957-2963 - [c1]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:
Learning from Imbalanced and Incomplete Supervision with Its Application to Ride-Sharing Liability Judgment. KDD 2021: 487-495
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last updated on 2024-11-15 19:31 CET by the dblp team
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