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)

会议文章：

[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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