Publications

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), 2023. (Accepted)
  • 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), 2023. (Accepted)
  • 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), 2023. (Accepted)
  • 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), 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)
  • 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)
  • 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)
  • 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. [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), 2023. (Accepted) [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), 2023. (Accepted) [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), 2023. (Accepted) [pdf] [code]

2022

  • Rethinking Label Flipping Attack: From Sample Masking to Sample Thresholding
    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.
  • Optimizing Two-way Partial AUC with an End-to-end Framework
    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. [pdf] [code]
  • A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation is the Fixed Point of Adversarial Game
    Ke Ma, Qianqian Xu, Jinshan Zeng, Guorong Li, Xiaochun Cao and Qingming Huang. A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation is the Fixed Point of Adversarial Game. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 45(4): 4090–4108, Apr. 2023. [pdf] [code]
  • Optimizing Partial Area Under the Top-k Curve: Theory and Practice
    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. [pdf] [code]
  • MaxMatch: Semi-Supervised Learning with Worst-Case Consistency
    Yangbangyan Jiang, Xiaodan Li, Yuefeng Chen, Yuan He, Qianqian Xu, Zhiyong Yang, Xiaochun Cao and Qingming Huang. MaxMatch: Semi-Supervised Learning with Worst-Case Consistency. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 45(5): 5970–5987, May 2023. [pdf] [code]
  • AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems
    Wenzheng Hou, Qianqian Xu, Zhiyong Yang, Shilong Bao, Yuan He and Qingming Huang. AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems. International Conference on Machine Learning (ICML), 8903–8925, 2022. [pdf] [code]
  • Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability
    Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He and Qingming Huang. Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability. Annual Conference on Neural Information Processing Systems (NeurIPS), 28335–28349, 2022. [pdf] [code]
  • OpenAUC: Towards AUC-Oriented Open-Set Recognition
    Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao and Qingming Huang. OpenAUC: Towards AUC-Oriented Open-Set Recognition. Annual Conference on Neural Information Processing Systems (NeurIPS), 25033–25045, 2022. (Spotlight) [pdf] [code]
  • The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm
    Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao and Qingming Huang. The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm. Annual Conference on Neural Information Processing Systems (NeurIPS), 2451–2464, 2022. (Oral) [pdf] [code]
  • OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport
    Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao and Qingming Huang. OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport. Annual Conference on Neural Information Processing Systems (NeurIPS), 39090–39102, 2022.
  • Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm
    Huiyang Shao, Qianqian Xu, Zhiyong Yang, Shilong Bao and Qingming Huang. Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm. Annual Conference on Neural Information Processing Systems (NeurIPS), 38667–38679, 2022. [pdf] [code]
  • Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective
    Yunrui Zhao, Qianqian Xu, Yangbangyan Jiang, Peisong Wen and Qingming Huang. Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 14461–14470, 2022. [pdf] [supp] [code]
  • Geometry Interaction Knowledge Graph Embeddings
    Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao and Qingming Huang. Geometry Interaction Knowledge Graph Embeddings. AAAI Conference on Artificial Intelligence (AAAI), 5521–5529, 2022. [pdf] [supp&code]
  • ER: Equivariance Regularizer for Knowledge Graph Completion
    Zongsheng Cao, Qianqian Xu, Zhiyong Yang and Qingming Huang. ER: Equivariance Regularizer for Knowledge Graph Completion. AAAI Conference on Artificial Intelligence (AAAI), 5512–5520, 2022. [pdf] [supp&code]
  • Quaternion Ordinal Embedding
    Wenzheng Hou, Qianqian Xu, Ke Ma, Qianxiu Hao, Qingming Huang. Quaternion Ordinal Embedding. International Joint Conference on Artificial Intelligence (IJCAI), 2066–2072, 2022. [pdf] [code]
  • Confederated Learning: Going Beyond Centralization
    Zitai Wang, Qianqian Xu, Ke Ma, Xiaochun Cao and Qingming Huang. Confederated Learning: Going Beyond Centralization. ACM Conference on Multimedia (ACM MM), 2939–2947, 2022. (Oral) [pdf] [code] [slides]
  • Pay Attention to Your Positive Pairs: Positive Pair Aware Contrastive Knowledge Distillation
    Zhipeng Yu, Qianqian Xu, Yangbangyan Jiang, Haoyu Qin and Qingming Huang. Pay Attention to Your Positive Pairs: Positive Pair Aware Contrastive Knowledge Distillation. ACM Conference on Multimedia (ACM MM), 5862–5870, 2022. (Oral) [pdf] [code]
  • Recurrent Meta-Learning against Generalized Cold-start problem in CTR Prediction
    Junyu Chen, Qianqian Xu, Zhiyong Yang, Ke Ma, Xiaochun Cao and Qingming Huang. Recurrent Meta-Learning against Generalized Cold-start problem in CTR Prediction. ACM Conference on Multimedia (ACM MM), 2636–2644, 2022. [pdf] [code]
  • A Unified Framework against Topology and Class Imbalance
    Junyu Chen, Qianqian Xu, Zhiyong Yang, Xiaochun Cao and Qingming Huang. A Unified Framework against Topology and Class Imbalance. ACM Conference on Multimedia (ACM MM), 180–188, 2022. [pdf] [code]

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