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Qian-Wei Wang
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2020 – today
- 2024
- [j1]Bowen Zhao, Chen Chen, Qian-Wei Wang, Anfeng He, Shu-Tao Xia:
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias. Int. J. Comput. Vis. 132(6): 2310-2330 (2024) - [c5]Qian-Wei Wang, Bowen Zhao, Mingyan Zhu, Tianxiang Li, Zimo Liu, Shu-Tao Xia:
Controller-Guided Partial Label Consistency Regularization with Unlabeled Data. AAAI 2024: 15571-15579 - [i3]Qian-Wei Wang, Yuqiu Xie, Letian Zhang, Zimo Liu, Shu-Tao Xia:
Pre-Trained Vision-Language Models as Partial Annotators. CoRR abs/2406.18550 (2024) - 2023
- [c4]Bowen Zhao, Chen Chen, Qian-Wei Wang, Anfeng He, Shutao Xia:
Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment. AAAI 2023: 3561-3569 - [c3]Tianxiang Li, Bin Chen, Qian-Wei Wang, Yujun Huang, Shu-Tao Xia:
LKBQ: Pushing the Limit of Post-Training Quantization to Extreme 1 bit. ICIP 2023: 1775-1779 - [i2]Bowen Zhao, Chen Chen, Qian-Wei Wang, Anfeng He, Shu-Tao Xia:
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias. CoRR abs/2302.11414 (2023) - 2022
- [i1]Qian-Wei Wang, Bowen Zhao, Mingyan Zhu, Tianxiang Li, Zimo Liu, Shu-Tao Xia:
Towards Mitigating the Problem of Insufficient and Ambiguous Supervision in Online Crowdsourcing Annotation. CoRR abs/2210.11194 (2022) - 2020
- [c2]Qian-Wei Wang, Liang Yang, Yufeng Li:
Learning from Weak-Label Data: A Deep Forest Expedition. AAAI 2020: 6251-6258
2010 – 2019
- 2019
- [c1]Qian-Wei Wang, Yufeng Li, Zhi-Hua Zhou:
Partial Label Learning with Unlabeled Data. IJCAI 2019: 3755-3761
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