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2020 – today
- 2024
[c9]Zhiyong Yang, Qianqian Xu, Zitai Wang, Sicong Li, Boyu Han, Shilong Bao, Xiaochun Cao, Qingming Huang:
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition. ICML 2024- [c8]Cong Hua, Qianqian Xu, Shilong Bao, Zhiyong Yang, Qingming Huang:
ReconBoost: Boosting Can Achieve Modality Reconcilement. ICML 2024 - [c7]Feiran Li, Qianqian Xu, Shilong Bao, Zhiyong Yang, Runmin Cong, Xiaochun Cao, Qingming Huang:
Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection. ICML 2024 - [i11]Zhiyong Yang, Qianqian Xu, Zitai Wang, Sicong Li, Boyu Han, Shilong Bao, Xiaochun Cao, Qingming Huang:
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition. CoRR abs/2405.07780 (2024) - [i10]Cong Hua, Qianqian Xu, Shilong Bao, Zhiyong Yang, Qingming Huang:
ReconBoost: Boosting Can Achieve Modality Reconcilement. CoRR abs/2405.09321 (2024) - [i9]Feiran Li, Qianqian Xu, Shilong Bao, Zhiyong Yang, Runmin Cong, Xiaochun Cao, Qingming Huang:
Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection. CoRR abs/2405.09782 (2024) - [i8]Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang:
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation. CoRR abs/2409.01012 (2024) - [i7]Boyu Han, Qianqian Xu, Zhiyong Yang, Shilong Bao, Peisong Wen, Yangbangyan Jiang, Qingming Huang:
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation. CoRR abs/2409.20398 (2024) - 2023
- [j5]Shilong Bao
, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
Rethinking Collaborative Metric Learning: Toward an Efficient Alternative Without Negative Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1017-1035 (2023) - [j4]Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang:
Optimizing Two-Way Partial AUC With an End-to-End Framework. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10228-10246 (2023) - [j3]Zhiyong Yang, Qianqian Xu, Shilong Bao, Peisong Wen, Yuan He, Xiaochun Cao, Qingming Huang:
AUC-Oriented Domain Adaptation: From Theory to Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14161-14174 (2023) - [j2]Zhiyong Yang, Qianqian Xu, Wenzheng Hou, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang:
Revisiting AUC-Oriented Adversarial Training With Loss-Agnostic Perturbations. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15494-15511 (2023) - 2022
- [j1]Zhiyong Yang, Qianqian Xu, Shilong Bao, Xiaochun Cao, Qingming Huang:
Learning With Multiclass AUC: Theory and Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7747-7763 (2022) - [c6]Wenzheng Hou, Qianqian Xu, Zhiyong Yang, Shilong Bao, Yuan He, Qingming Huang:
AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems. ICML 2022: 8903-8925 - [c5]Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang:
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm. NeurIPS 2022 - [c4]Huiyang Shao, Qianqian Xu, Zhiyong Yang, Shilong Bao, Qingming Huang:
Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm. NeurIPS 2022 - [i6]Shilong Bao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling. CoRR abs/2206.11549 (2022) - [i5]Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang:
Optimizing Two-way Partial AUC with an End-to-end Framework. CoRR abs/2206.11655 (2022) - [i4]Wenzheng Hou, Qianqian Xu, Zhiyong Yang, Shilong Bao, Yuan He, Qingming Huang:
AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems. CoRR abs/2206.12169 (2022) - [i3]Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang:
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm. CoRR abs/2209.15292 (2022) - [i2]Huiyang Shao, Qianqian Xu, Zhiyong Yang, Shilong Bao, Qingming Huang:
Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm. CoRR abs/2210.03967 (2022) - 2021
- [c3]Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang:
When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC. ICML 2021: 11820-11829 - [i1]Zhiyong Yang, Qianqian Xu, Shilong Bao, Xiaochun Cao, Qingming Huang:
Learning with Multiclass AUC: Theory and Algorithms. CoRR abs/2107.13171 (2021)
2010 – 2019
- 2019
- [c2]Shilong Bao, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
Collaborative Preference Embedding against Sparse Labels. ACM Multimedia 2019: 2079-2087 - 2013
- [c1]Shaorong Xie, Shilong Bao, Bin Zou, Huayan Pu, Jun Luo, Jason Gu:
The research on obstacle-surmounting capability of six-track robot with four swing arms. ROBIO 2013: 2441-2445
Coauthor Index
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