Extreme Large Margin Distribution Machine and its applications for biomedical datasets. - Zhiyong Yang 001; Jingcheng Lu; Taohong Zhang (BIBM, 2016)

Optimizing area under the ROC curve via extreme learning machines. - Zhiyong Yang 001; Taohong Zhang; Jingcheng Lu; Dezheng Zhang; Dorothy Kalui (Knowl. Based Syst., 2017)

From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions. - Zhiyong Yang 001; Qianqian Xu; Xiaochun Cao; Qingming Huang (AAAI, 2018)

When to Learn What: Deep Cognitive Subspace Clustering. - Yangbangyan Jiang; Zhiyong Yang 001; Qianqian Xu; Xiaochun Cao; Qingming Huang (ACM Multimedia, 2018)

A Margin-based MLE for Crowdsourced Partial Ranking. - Qianqian Xu; Jiechao Xiong; Xinwei Sun 001; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang; Yuan Yao 011 (ACM Multimedia, 2018)

Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin. - Ke Ma 001; Qianqian Xu; Zhiyong Yang 001; Xiaochun Cao (AAAI, 2019)

Learning Personalized Attribute Preference via Multi-Task AUC Optimization. - Zhiyong Yang 001; Qianqian Xu; Xiaochun Cao; Qingming Huang (AAAI, 2019)

Deep Robust Subjective Visual Property Prediction in Crowdsourcing. - Qianqian Xu; Zhiyong Yang 001; Yangbangyan Jiang; Xiaochun Cao; Qingming Huang; Yuan Yao 011 (CVPR, 2019)

Collaborative Preference Embedding against Sparse Labels. - Shilong Bao; Qianqian Xu; Ke Ma 001; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (ACM Multimedia, 2019)

Duet Robust Deep Subspace Clustering. - Yangbangyan Jiang; Qianqian Xu; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (ACM Multimedia, 2019)

DM2C: Deep Mixed-Modal Clustering. - Yangbangyan Jiang; Qianqian Xu; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (NeurIPS, 2019)

iSplit LBI: Individualized Partial Ranking with Ties via Split LBI. - Qianqian Xu; Xinwei Sun 001; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang; Yuan Yao 011 (NeurIPS, 2019)

Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer. - Zhiyong Yang 001; Qianqian Xu; Yangbangyan Jiang; Xiaochun Cao; Qingming Huang (NeurIPS, 2019)

Split Multiplicative Multi-View Subspace Clustering. - Zhiyong Yang 001; Qianqian Xu; Weigang Zhang; Xiaochun Cao; Qingming Huang (IEEE Trans. Image Process., 2019)

Who Likes What? - SplitLBI in Exploring Preferential Diversity of Ratings. - Qianqian Xu; Jiechao Xiong; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang; Yuan Yao 011 (AAAI, 2020)

Task-distribution-aware Meta-learning for Cold-start CTR Prediction. - Tianwei Cao; Qianqian Xu; Zhiyong Yang 001; Qingming Huang (ACM Multimedia, 2020)

Dual Quaternion Knowledge Graph Embeddings. - Zongsheng Cao; Qianqian Xu; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (AAAI, 2021)

What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models. - Yangbangyan Jiang; Qianqian Xu; Ke Ma 001; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (AAAI, 2021)

Deep Partial Rank Aggregation for Personalized Attributes. - Qianqian Xu; Zhiyong Yang 001; Zuyao Chen; Yangbangyan Jiang; Xiaochun Cao; Yuan Yao 011; Qingming Huang (AAAI, 2021)

Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association. - Peisong Wen; Qianqian Xu; Yangbangyan Jiang; Zhiyong Yang 001; Yuan He 011; Qingming Huang (CVPR, 2021)

When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC. - Zhiyong Yang 001; Qianqian Xu; Shilong Bao; Yuan He 011; Xiaochun Cao; Qingming Huang (ICML, 2021)

Learning Unified Embeddings for Recommendation via Meta-path Semantics. - Qianxiu Hao; Qianqian Xu; Zhiyong Yang 001; Qingming Huang (ACM Multimedia, 2021)

Pareto Optimality for Fairness-constrained Collaborative Filtering. - Qianxiu Hao; Qianqian Xu; Zhiyong Yang 001; Qingming Huang (ACM Multimedia, 2021)

Implicit Feedbacks are Not Always Favorable: Iterative Relabeled One-Class Collaborative Filtering against Noisy Interactions. - Zitai Wang; Qianqian Xu; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (ACM Multimedia, 2021)

When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking. - Peisong Wen; Qianqian Xu; Zhiyong Yang 001; Yuan He 011; Qingming Huang (NeurIPS, 2021)

Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction. - Zhiyong Yang 001; Qianqian Xu; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Geometry Interaction Knowledge Graph Embeddings. - Zongsheng Cao; Qianqian Xu; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (AAAI, 2022)

ER: Equivariance Regularizer for Knowledge Graph Completion. - Zongsheng Cao; Qianqian Xu; Zhiyong Yang 001; Qingming Huang (AAAI, 2022)

AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems. - Wenzheng Hou; Qianqian Xu; Zhiyong Yang 001; Shilong Bao; Yuan He 011; Qingming Huang (ICML, 2022)

A Sparse-Motif Ensemble Graph Convolutional Network against Over-smoothing. - Xuan Jiang; Zhiyong Yang 001; Peisong Wen; Li Su 003; Qingming Huang (IJCAI, 2022)

Recurrent Meta-Learning against Generalized Cold-start Problem in CTR Prediction. - Junyu Chen; Qianqian Xu; Zhiyong Yang 001; Ke Ma 001; Xiaochun Cao; Qingming Huang (ACM Multimedia, 2022)

A Unified Framework against Topology and Class Imbalance. - Junyu Chen; Qianqian Xu; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (ACM Multimedia, 2022)

The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm. - Shilong Bao; Qianqian Xu; Zhiyong Yang 001; Yuan He 011; Xiaochun Cao; Qingming Huang (NeurIPS, 2022)

OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport. - Zongsheng Cao; Qianqian Xu; Zhiyong Yang 001; Yuan He 011; Xiaochun Cao; Qingming Huang (NeurIPS, 2022)

Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm. - Huiyang Shao; Qianqian Xu; Zhiyong Yang 001; Shilong Bao; Qingming Huang (NeurIPS, 2022)

OpenAUC: Towards AUC-Oriented Open-Set Recognition. - Zitai Wang; Qianqian Xu; Zhiyong Yang 001; Yuan He 011; Xiaochun Cao; Qingming Huang (NeurIPS, 2022)

Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability. - Peisong Wen; Qianqian Xu; Zhiyong Yang 001; Yuan He 011; Qingming Huang (NeurIPS, 2022)

Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction. - Tianwei Cao; Qianqian Xu; Zhiyong Yang 001; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction. - Qianqian Xu; Zhiyong Yang 001; Yangbangyan Jiang; Xiaochun Cao; Yuan Yao 011; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Learning With Multiclass AUC: Theory and Algorithms. - Zhiyong Yang 001; Qianqian Xu; Shilong Bao; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild. - Huiyang Shao; Qianqian Xu; Peisong Wen; Peifeng Gao; Zhiyong Yang 001; Qingming Huang (ICCV, 2023)

Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation. - Peifeng Gao; Qianqian Xu; Peisong Wen; Zhiyong Yang 001; Huiyang Shao; Qingming Huang (ICML, 2023)

DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework. - Siran Dai; Qianqian Xu; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (NeurIPS, 2023)

Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning. - Huiyang Shao; Qianqian Xu; Zhiyong Yang 001; Peisong Wen; Peifeng Gao; Qingming Huang (NeurIPS, 2023)

A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning. - Zitai Wang; Qianqian Xu; Zhiyong Yang 001; Yuan He 011; Xiaochun Cao; Qingming Huang (NeurIPS, 2023)

A Study of Neural Collapse Phenomenon: Grassmannian Frame, Symmetry, Generalization. - Peifeng Gao; Qianqian Xu; Peisong Wen; Huiyang Shao; Zhiyong Yang 001; Qingming Huang (CoRR, 2023)

Towards Demystifying the Generalization Behaviors When Neural Collapse Emerges. - Peifeng Gao; Qianqian Xu; Yibo Yang; Peisong Wen; Huiyang Shao; Zhiyong Yang 001; Bernard Ghanem; Qingming Huang (CoRR, 2023)

Rethinking Collaborative Metric Learning: Toward an Efficient Alternative Without Negative Sampling. - Shilong Bao; Qianqian Xu; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Optimizing Partial Area Under the Top-k Curve: Theory and Practice. - Zitai Wang; Qianqian Xu; Zhiyong Yang 001; Yuan He 011; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

MaxMatch: Semi-Supervised Learning With Worst-Case Consistency. - Yangbangyan Jiang; Xiaodan Li; Yuefeng Chen; Yuan He 011; Qianqian Xu; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Rethinking Label Flipping Attack: From Sample Masking to Sample Thresholding. - Qianqian Xu; Zhiyong Yang 001; Yunrui Zhao; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Optimizing Two-Way Partial AUC With an End-to-End Framework. - Zhiyong Yang 001; Qianqian Xu; Shilong Bao; Yuan He 011; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Positive-Unlabeled Learning With Label Distribution Alignment. - Yangbangyan Jiang; Qianqian Xu; Yunrui Zhao; Zhiyong Yang 001; Peisong Wen; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

AUC-Oriented Domain Adaptation: From Theory to Algorithm. - Zhiyong Yang 001; Qianqian Xu; Shilong Bao; Peisong Wen; Yuan He 011; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Revisiting AUC-Oriented Adversarial Training With Loss-Agnostic Perturbations. - Zhiyong Yang 001; Qianqian Xu; Wenzheng Hou; Shilong Bao; Yuan He 011; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition. - Zhiyong Yang 001; Qianqian Xu; Zitai Wang; Sicong Li; Boyu Han; Shilong Bao; Xiaochun Cao; Qingming Huang (ICML, 2024)

ReconBoost: Boosting Can Achieve Modality Reconcilement. - Cong Hua; Qianqian Xu; Shilong Bao; Zhiyong Yang 001; Qingming Huang (ICML, 2024)

Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection. - Feiran Li; Qianqian Xu; Shilong Bao; Zhiyong Yang 001; Runmin Cong; Xiaochun Cao; Qingming Huang (ICML, 2024)

AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation. - Boyu Han; Qianqian Xu; Zhiyong Yang 001; Shilong Bao; Peisong Wen; Yangbangyan Jiang; Qingming Huang (NeurIPS, 2024)

Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques. - Benyuan Meng; Qianqian Xu; Zitai Wang; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (NeurIPS, 2024)

Algorithm-Dependent Generalization of AUPRC Optimization: Theory and Algorithm. - Peisong Wen; Qianqian Xu; Zhiyong Yang 001; Yuan He 011; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Mitigating Confounding Bias in Practical Recommender Systems With Partially Inaccessible Exposure Status. - Tianwei Cao; Qianqian Xu; Zhiyong Yang 001; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Improved Diversity-Promoting Collaborative Metric Learning for Recommendation. - Shilong Bao; Qianqian Xu; Zhiyong Yang 001; Yuan He 011; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Bidirectional Logits Tree: Pursuing Granularity Reconcilement in Fine-Grained Classification. - Zhiguang Lu; Qianqian Xu; Shilong Bao; Zhiyong Yang 001; Qingming Huang (AAAI, 2025)

SSE-SAM: Balancing Head and Tail Classes Gradually Through Stage-Wise SAM. - Xingyu Lyu; Qianqian Xu; Zhiyong Yang 001; Shaojie Lyu; Qingming Huang (AAAI, 2025)

EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion. - Yuchen Sun; Qianqian Xu; Zitai Wang; Zhiyong Yang 001; Junwei He 003 (AAAI, 2025)

Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-label Classification. - Zitai Wang; Qianqian Xu; Zhiyong Yang 001; Peisong Wen; Yuan He 011; Xiaochun Cao; Qingming Huang (Int. J. Comput. Vis., 2025)

Practically Unbiased Pairwise Loss for Recommendation With Implicit Feedback. - Tianwei Cao; Qianqian Xu; Zhiyong Yang 001; Zhanyu Ma; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification. - Sicong Li; Qianqian Xu; Zhiyong Yang 001; Zitai Wang; Linchao Zhang; Xiaochun Cao; Qingming Huang (CoRR, 2025)

ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via α-β-Divergence. - Guanghui Wang 001; Zhiyong Yang 001; Zitai Wang; Shi Wang; Qianqian Xu; Qingming Huang (CoRR, 2025)

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning. - Cong Hua; Qianqian Xu; Zhiyong Yang 001; Zitai Wang; Shilong Bao; Qingming Huang (CoRR, 2025)

MixBridge: Heterogeneous Image-to-Image Backdoor Attack through Mixture of Schrödinger Bridges. - Shixi Qin; Zhiyong Yang 001; Shilong Bao; Shi Wang; Qianqian Xu; Qingming Huang (CoRR, 2025)

One Image is Worth a Thousand Words: A Usability Preservable Text-Image Collaborative Erasing Framework. - Feiran Li; Qianqian Xu; Shilong Bao; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (CoRR, 2025)

AUCPro: AUC-Oriented Provable Robustness Learning. - Shilong Bao; Qianqian Xu; Zhiyong Yang 001; Yuan He 011; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

GAHE: Geometry-Aware Embedding for Hyper-Relational Knowledge Graph Representation. - Zongsheng Cao; Qianqian Xu; Zhiyong Yang 001; Yuan He 011; Xiaochun Cao; Qingming Huang (ACM Trans. Multim. Comput. Commun. Appl., 2025)