Zhiyong Yang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 84

Top Topics

Graph Embedding

Implicit Feedback

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang
Algorithm-Dependent Generalization of AUPRC Optimization: Theory and Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 46 (7) (2024)
Cong Hua, Qianqian Xu, Shilong Bao, Zhiyong Yang, Qingming Huang
ReconBoost: Boosting Can Achieve Modality Reconcilement. CoRR (2024)
Zitai Wang, Qianqian Xu, Zhiyong Yang, Peisong Wen, Yuan He, Xiaochun Cao, Qingming Huang
Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-Label Classification. CoRR (2024)
Zhiyong Yang, Qianqian Xu, Zitai Wang, Sicong Li, Boyu Han, Shilong Bao, Xiaochun Cao, Qingming Huang
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition. CoRR (2024)
Feiran Li, Qianqian Xu, Shilong Bao, Zhiyong Yang, Runmin Cong, Xiaochun Cao, Qingming Huang
Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection. CoRR (2024)
Tianwei Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang
Mitigating Confounding Bias in Practical Recommender Systems With Partially Inaccessible Exposure Status. IEEE Trans. Pattern Anal. Mach. Intell. 46 (2) (2024)
Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang
Optimizing Two-Way Partial AUC With an End-to-End Framework. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
Optimizing Partial Area Under the Top-k Curve: Theory and Practice. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Peifeng Gao, Qianqian Xu, Yibo Yang, Peisong Wen, Huiyang Shao, Zhiyong Yang, Bernard Ghanem, Qingming Huang
Towards Demystifying the Generalization Behaviors When Neural Collapse Emerges. CoRR (2023)
Yangbangyan Jiang, Qianqian Xu, Yunrui Zhao, Zhiyong Yang, Peisong Wen, Xiaochun Cao, Qingming Huang
Positive-Unlabeled Learning With Label Distribution Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning. CoRR (2023)
Peifeng Gao, Qianqian Xu, Peisong Wen, Zhiyong Yang, Huiyang Shao, Qingming Huang
Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation. ICML (2023)
Siran Dai, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework. NeurIPS (2023)
Zhiyong Yang, Qianqian Xu, Shilong Bao, Peisong Wen, Yuan He, Xiaochun Cao, Qingming Huang
AUC-Oriented Domain Adaptation: From Theory to Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Huiyang Shao, Qianqian Xu, Peisong Wen, Peifeng Gao, Zhiyong Yang, Qingming Huang
Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild. ICCV (2023)
Qianqian Xu, Zhiyong Yang, Yunrui Zhao, Xiaochun Cao, Qingming Huang
Rethinking Label Flipping Attack: From Sample Masking to Sample Thresholding. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning. NeurIPS (2023)
Huiyang Shao, Qianqian Xu, Zhiyong Yang, Peisong Wen, Peifeng Gao, Qingming Huang
Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning. NeurIPS (2023)
Yangbangyan Jiang, Xiaodan Li, Yuefeng Chen, Yuan He, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
MaxMatch: Semi-Supervised Learning With Worst-Case Consistency. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Zhiyong Yang, Qianqian Xu, Wenzheng Hou, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang
Revisiting AUC-Oriented Adversarial Training With Loss-Agnostic Perturbations. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Peifeng Gao, Qianqian Xu, Peisong Wen, Huiyang Shao, Zhiyong Yang, Qingming Huang
A Study of Neural Collapse Phenomenon: Grassmannian Frame, Symmetry, Generalization. CoRR (2023)
Siran Dai, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework. CoRR (2023)
Shilong Bao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
Rethinking Collaborative Metric Learning: Toward an Efficient Alternative Without Negative Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Wenzheng Hou, Qianqian Xu, Zhiyong Yang, Shilong Bao, Yuan He, Qingming Huang
AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems. ICML (2022)
Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
OpenAUC: Towards AUC-Oriented Open-Set Recognition. CoRR (2022)
Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang
ER: Equivariance Regularizer for Knowledge Graph Completion. CoRR (2022)
Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm. NeurIPS (2022)
Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
OpenAUC: Towards AUC-Oriented Open-Set Recognition. NeurIPS (2022)
Zhiyong Yang, Qianqian Xu, Shilong Bao, Xiaochun Cao, Qingming Huang
Learning With Multiclass AUC: Theory and Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Junyu Chen, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
A Unified Framework against Topology and Class Imbalance. ACM Multimedia (2022)
Huiyang Shao, Qianqian Xu, Zhiyong Yang, Shilong Bao, Qingming Huang
Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm. NeurIPS (2022)
Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
Optimizing Partial Area Under the Top-k Curve: Theory and Practice. CoRR (2022)
Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability. CoRR (2022)
Yangbangyan Jiang, Xiaodan Li, Yuefeng Chen, Yuan He, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
MaxMatch: Semi-Supervised Learning with Worst-Case Consistency. CoRR (2022)
Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
Geometry Interaction Knowledge Graph Embeddings. AAAI (2022)
Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang
Optimizing Two-way Partial AUC with an End-to-end Framework. CoRR (2022)
Wenzheng Hou, Qianqian Xu, Zhiyong Yang, Shilong Bao, Yuan He, Qingming Huang
AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems. CoRR (2022)
Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang
ER: Equivariance Regularizer for Knowledge Graph Completion. AAAI (2022)
Tianwei Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang
Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Xuan Jiang, Zhiyong Yang, Peisong Wen, Li Su, Qingming Huang
A Sparse-Motif Ensemble Graph Convolutional Network against Over-smoothing. IJCAI (2022)
Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming Huang
Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 44 (6) (2022)
Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm. CoRR (2022)
Tianwei Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang
Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction. CoRR (2022)
Junyu Chen, Qianqian Xu, Zhiyong Yang, Ke Ma, Xiaochun Cao, Qingming Huang
Recurrent Meta-Learning against Generalized Cold-start Problem in CTR Prediction. ACM Multimedia (2022)
Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability. NeurIPS (2022)
Shilong Bao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling. CoRR (2022)
Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport. NeurIPS (2022)
Huiyang Shao, Qianqian Xu, Zhiyong Yang, Shilong Bao, Qingming Huang
Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm. CoRR (2022)
Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
Geometry Interaction Knowledge Graph Embeddings. CoRR (2022)
Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
Dual Quaternion Knowledge Graph Embeddings. AAAI (2021)
Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang
When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking. NeurIPS (2021)
Zitai Wang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
Implicit Feedbacks are Not Always Favorable: Iterative Relabeled One-Class Collaborative Filtering against Noisy Interactions. ACM Multimedia (2021)
Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang
Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 43 (11) (2021)
Zhiyong Yang, Qianqian Xu, Shilong Bao, Xiaochun Cao, Qingming Huang
Learning with Multiclass AUC: Theory and Algorithms. CoRR (2021)
Qianxiu Hao, Qianqian Xu, Zhiyong Yang, Qingming Huang
Learning Unified Embeddings for Recommendation via Meta-path Semantics. ACM Multimedia (2021)
Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang
When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC. ICML (2021)
Qianqian Xu, Zhiyong Yang, Zuyao Chen, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming Huang
Deep Partial Rank Aggregation for Personalized Attributes. AAAI (2021)
Peisong Wen, Qianqian Xu, Yangbangyan Jiang, Zhiyong Yang, Yuan He, Qingming Huang
Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association. CVPR (2021)
Peisong Wen, Qianqian Xu, Yangbangyan Jiang, Zhiyong Yang, Yuan He, Qingming Huang
Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association. CoRR (2021)
Qianxiu Hao, Qianqian Xu, Zhiyong Yang, Qingming Huang
Pareto Optimality for Fairness-constrained Collaborative Filtering. ACM Multimedia (2021)
Yangbangyan Jiang, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao, Qingming Huang
What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models. AAAI (2021)
Tianwei Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang
Task-distribution-aware Meta-learning for Cold-start CTR Prediction. ACM Multimedia (2020)
Qianqian Xu, Jiechao Xiong, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao
Who Likes What? - SplitLBI in Exploring Preferential Diversity of Ratings. AAAI (2020)
Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang
Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction. CoRR (2020)
Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang
Learning Personalized Attribute Preference via Multi-task AUC Optimization. CoRR (2019)
Yangbangyan Jiang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
DM2C: Deep Mixed-Modal Clustering. NeurIPS (2019)
Zhiyong Yang, Qianqian Xu, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer. NeurIPS (2019)
Yangbangyan Jiang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
Duet Robust Deep Subspace Clustering. ACM Multimedia (2019)
Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang, Yuan Yao
Deep Robust Subjective Visual Property Prediction in Crowdsourcing. CVPR (2019)
Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang
Learning Personalized Attribute Preference via Multi-Task AUC Optimization. AAAI (2019)
Qianqian Xu, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao
iSplit LBI: Individualized Partial Ranking with Ties via Split LBI. NeurIPS (2019)
Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao
Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin. AAAI (2019)
Shilong Bao, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao, Qingming Huang
Collaborative Preference Embedding against Sparse Labels. ACM Multimedia (2019)
Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang, Yuan Yao
Deep Robust Subjective Visual Property Prediction in Crowdsourcing. CoRR (2019)
Zhiyong Yang, Qianqian Xu, Weigang Zhang, Xiaochun Cao, Qingming Huang
Split Multiplicative Multi-View Subspace Clustering. IEEE Trans. Image Process. 28 (10) (2019)
Qianqian Xu, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao
iSplit LBI: Individualized Partial Ranking with Ties via Split LBI. CoRR (2019)
Yangbangyan Jiang, Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang
When to Learn What: Deep Cognitive Subspace Clustering. ACM Multimedia (2018)
Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang
From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions. AAAI (2018)
Qianqian Xu, Jiechao Xiong, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao
A Margin-based MLE for Crowdsourced Partial Ranking. ACM Multimedia (2018)
Qianqian Xu, Jiechao Xiong, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao
A Margin-based MLE for Crowdsourced Partial Ranking. CoRR (2018)
Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao
Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin. CoRR (2018)
Zhiyong Yang, Taohong Zhang, Jingcheng Lu, Dezheng Zhang, Dorothy Kalui
Optimizing area under the ROC curve via extreme learning machines. Knowl. Based Syst. 130 (2017)
Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang
From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions. CoRR (2017)
Zhiyong Yang, Jingcheng Lu, Taohong Zhang
Extreme Large Margin Distribution Machine and its applications for biomedical datasets. BIBM (2016)