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期刊文章：

[TPAMI 25]?Shilong Bao,?Qianqian Xu,Zhiyong Yang,Yuan He,Xiaochun Cao,and Qingming Huang. AUCPro: AUC-Oriented Provable Robustness Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),?47(6):?4579-4596,?Jun.?2025.??(Regular paper)

[TPAMI 24]? Peisong Wen,?Qianqian Xu,Zhiyong Yang,Yuan He,and Qingming Huang. Algorithm-Dependent Generalization of AUPRC Optimization: Theory and Algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),46(7):?5062-5079,?Jul. 2024. (Regular paper)

[TPAMI 23] Zitai Wang,?Qianqian Xu,Zhiyong Yang,Yuan He,Xiaochun Cao and?Qingming Huang.??Optimizing Partial Area Under the Top-k Curve: Theory and Practice. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),45(4):5053-5069,Apr. 2023.?(Regular paper)

[TPAMI 23] Shilong Bao,?Qianqian Xu,Zhiyong Yang,Xiaochun Cao and Qingming Huang. Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),45(1):1017-1035,Jan. 2023.?(Regular paper)

[TPAMI 23]?Qianqian Xu,Zhiyong Yang,Yunrui Zhao,Xiaochun Cao,and Qingming Huang. Rethinking Label Flipping Attack: From Sample Masking to Sample Thresholding. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),?45(6):7668-7685,Jun. 2023.?(Regular paper)

[TPAMI 23] Zhiyong Yang,?Qianqian Xu,Shilong Bao,Yuan He,Xiaochun Cao,and Qingming Huang. Optimizing Two-way Partial AUC with an End-to-end Framework. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),45(8):?10228-10246,?Aug.?2023.?(Regular paper)?

[TPAMI 22]?Qianqian Xu,Zhiyong Yang,Yangbangyan Jiang,Xiaochun Cao,Yuan Yao and Qingming Huang. Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),44(6):3154-3169,Jun. 2022.?(Regular paper)

[TPAMI 22] Zhiyong Yang,?Qianqian Xu,Shilong Bao,Xiaochun Cao and Qingming Huang. Learning with Multiclass AUC: Theory and Algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),?44(11):7747-7763,Nov. 2022.?(Regular paper)

[TPAMI 21] Zhiyong Yang,?Qianqian Xu,Xiaochun Cao and Qingming Huang. Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),43(11):?4094-4110,Nov. 2021.?(Regular paper)

[TPAMI 19]?Qianqian Xu,Jiechao Xiong,Xiaochun Cao,Qingming Huang and Yuan Yao. From Social to Individuals: A Parsimonious Path of Multi-level Models for Crowdsourced Preference Aggregation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),41(4):844-856,Apr. 2019.?(Regular paper)

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會議文章：

[ICML 25]?Sicong Li,?Qianqian Xu,Zhiyong Yang,Zitai Wang,Linchao Zhang,Xiaochun Cao,and Qingming Huang. Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification. International Conference on Machine Learning (ICML),2025.?

[ICML 25]?Cong Hua,?Qianqian Xu,Zhiyong Yang,Zitai Wang,Shilong Bao,?and?Qingming Huang. OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning. International Conference on Machine Learning (ICML),2025.

[ICML?25]?Feiran Li,?Qianqian Xu,?Shilong Bao,Zhiyong Yang,Xiaochun Cao,?and?Qingming Huang. One Image is Worth a Thousand Words: A Usability Preservable Text-Image Collaborative Erasing Framework for Diffusion Models. International Conference on Machine Learning (ICML),2025.?

[ICML 24] Zhiyong Yang,?Qianqian Xu,Zitai Wang,Sicong Li,Boyu Han,Shilong Bao,Xiaochun Cao,and Qingming Huang. Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition.?International Conference on Machine Learning (ICML),?56624-56664,?2024.

[ICML 24] Feiran Li,?Qianqian Xu,Shilong Bao,Zhiyong Yang,Runmin Cong,Xiaochun Cao,and Qingming Huang. Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection.?International Conference on Machine Learning (ICML),?28989-29021,?2024.?(Spotlight)

[ICML?24]?Cong Hua,?Qianqian Xu,Shilong Bao,Zhiyong Yang,and Qingming Huang.?ReconBoost: Boosting Can Achieve Modality Reconcilement.?International Conference on Machine Learning (ICML),?19573-19597,?2024.

[NeurIPS?24]?Benyuan Meng,?Qianqian Xu,Zitai Wang,Xiaochun Cao,and Qingming Huang.?Not All?Diffusion Model Activations Have Been Evaluated as Discriminative Features. Annual Conference on Neural Information Processing Systems (NeurIPS),?55141-55177,2024.?(Spotlight)

[NeurIPS?24]?Boyu Han,?Qianqian Xu,Zhiyong Yang,Shilong Bao,Peisong Wen,Yangbangyan Jiang,and Qingming Huang.?AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation. Annual Conference on Neural Information Processing Systems (NeurIPS),?126863-126907,?2024.

[NeurIPS?24]?Benyuan Meng,?Qianqian Xu,Zitai Wang,Zhiyong Yang,Xiaochun Cao,and Qingming Huang.?Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques. Annual Conference on Neural Information Processing Systems (NeurIPS),?18910-18939,2024.

[NeurIPS?23]?Zitai Wang,?Qianqian Xu,Zhiyong Yang,Yuan He,Xiaochun Cao,and Qingming Huang. A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning. Annual Conference on Neural Information Processing Systems (NeurIPS),48417-48430,2023.?(Spotlight)

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