Publications

2024

  • Algorithm-Dependent Generalization of AUPRC Optimization: Theory and Algorithm
    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), 2024. (Accecpted, DOl:10.1109/TPAMI.2024.3361861)
  • Mitigating Confounding Bias in Practical Recommender Systems with Partially Inaccessible Exposure Status
    Tianwei Cao, Qianqian Xu, Zhiyong Yang and Qingming Huang. Mitigating Confounding Bias in Practical Recommender Systems with Partially Inaccessible Exposure Status. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 46(2): 957–974, Feb. 2024. [code]
  • ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection
    Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, Qingming Huang. ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection. AAAI Conference on Artificial Intelligence (AAAI), 2024. (Accepted) [pdf]

2023

  • Revisiting AUC-oriented Adversarial Training with Loss-Agnostic Perturbations
    Zhiyong Yang, Qianqian Xu, Wenzheng Hou, Shilong Bao, Yuan He, Xiaochun Cao and Qingming Huang. Revisiting AUC-oriented Adversarial Training with Loss-Agnostic Perturbations. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 45(12): 15494–15511, Dec. 2023. [code]
  • AUC-Oriented Domain Adaptation: From Theory to Algorithm
    Zhiyong Yang, Qianqian Xu, Shilong Bao, Peisong Wen, Yuan He, Xiaochun Cao and Qingming Huang. AUC-Oriented Domain Adaptation: From Theory to Algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 45(12): 14161–14174, Dec. 2023. [code]
  • Positive-Unlabeled Learning with Label Distribution Alignment
    Yangbangyan Jiang, Qianqian Xu, Yunrui Zhao, Zhiyong Yang, Peisong Wen, Xiaochun Cao, and Qingming Huang. Positive-Unlabeled Learning with Label Distribution Alignment. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 45(12): 15345–15363, Dec. 2023.
  • Feature Directions Matters: Long-Tailed Learning via Rotated Balanced Representation
    Peifeng Gao, Qianqian Xu, Peisong Wen, Zhiyong Yang, Huiyang Shao and Qingming Huang. Feature Directions Matters: Long-Tailed Learning via Rotated Balanced Representation. International Conference on Machine Learning (ICML), 27542–27563, 2023. [code]
  • A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning
    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), 2023. (Accepted, Spotlight) [pdf] [code]
  • Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning
    Huiyang Shao, Qianqian Xu, Zhiyong Yang, Peisong Wen, Gao Peifeng, Qingming Huang. Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning. Annual Conference on Neural Information Processing Systems (NeurIPS), 2023. (Accepted) [code]
  • DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework
    Siran Dai, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang. DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework. Annual Conference on Neural Information Processing Systems (NeurIPS), 2023. (Accepted) [code]
  • Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCµ
    Peifeng Gao, Qianqian Xu, Peisong Wen, Huiyang Shao, Yuan He and Qingming Huang. Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCµ. AAAI Conference on Artificial Intelligence (AAAI), 7633–7641, 2023. [pdf] [code]
  • Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild
    Huiyang Shao, Qianqian Xu, Peisong Wen, Gao Peifeng, Zhiyong Yang and Qingming Huang. Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild. International Conference on Computer Vision (ICCV), 20259–20269, 2023. [code]
  • PSNEA: Pseudo-Siamese Network for Entity Alignment between Multi-modal Knowledge Graphs
    Wenxin Ni, Qianqian Xu, Yangbangyan Jiang, Zongsheng Cao, Xiaochun Cao and Qingming Huang. PSNEA: Pseudo-Siamese Network for Entity Alignment between Multi-modal Knowledge Graphs. ACM Conference on Multimedia (ACM MM), 3489–3497, 2023. [code]
  • When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-k Multi-Label Learning
    Yuchen Sun, Qianqian Xu, Zitai Wang and Qingming Huang. When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-k Multi-Label Learning. ACM Conference on Multimedia (ACM MM), 1515–1526, 2023. (Oral) [pdf] [code]

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