Zhiyong Yang

According to our database, Zhiyong Yang authored at least 64 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Improved Diversity-Promoting Collaborative Metric Learning for Recommendation.

Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Mitigating Confounding Bias in Practical Recommender Systems With Partially Inaccessible Exposure Status.

Tianwei Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Algorithm-Dependent Generalization of AUPRC Optimization: Theory and Algorithm.

Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2024

Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques.

Benyuan Meng, Qianqian Xu, Zitai Wang, Zhiyong Yang, Xiaochun Cao, Qingming Huang

CoRR, 2024

AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation.

Boyu Han, Qianqian Xu, Zhiyong Yang, Shilong Bao, Peisong Wen, Yangbangyan Jiang, Qingming Huang

CoRR, 2024

Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-Label Classification.

Zitai Wang, Qianqian Xu, Zhiyong Yang, Peisong Wen, Yuan He, Xiaochun Cao, Qingming Huang

CoRR, 2024

Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection.

Feiran Li, Qianqian Xu, Shilong Bao, Zhiyong Yang, Runmin Cong, Xiaochun Cao, Qingming Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ReconBoost: Boosting Can Achieve Modality Reconcilement.

Cong Hua, Qianqian Xu, Shilong Bao, Zhiyong Yang, Qingming Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition.

Zhiyong Yang, Qianqian Xu, Zitai Wang, Sicong Li, Boyu Han, Shilong Bao, Xiaochun Cao, Qingming Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Revisiting AUC-Oriented Adversarial Training With Loss-Agnostic Perturbations.

Zhiyong Yang, Qianqian Xu, Wenzheng Hou, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

AUC-Oriented Domain Adaptation: From Theory to Algorithm.

Zhiyong Yang, Qianqian Xu, Shilong Bao, Peisong Wen, Yuan He, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Positive-Unlabeled Learning With Label Distribution Alignment.

Yangbangyan Jiang, Qianqian Xu, Yunrui Zhao, Zhiyong Yang, Peisong Wen, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Optimizing Two-Way Partial AUC With an End-to-End Framework.

Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Rethinking Label Flipping Attack: From Sample Masking to Sample Thresholding.

Qianqian Xu, Zhiyong Yang, Yunrui Zhao, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

MaxMatch: Semi-Supervised Learning With Worst-Case Consistency.

Yangbangyan Jiang, Xiaodan Li, Yuefeng Chen, Yuan He, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Optimizing Partial Area Under the Top-k Curve: Theory and Practice.

Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Rethinking Collaborative Metric Learning: Toward an Efficient Alternative Without Negative Sampling.

Shilong Bao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Towards Demystifying the Generalization Behaviors When Neural Collapse Emerges.

Peifeng Gao, Qianqian Xu, Yibo Yang, Peisong Wen, Huiyang Shao, Zhiyong Yang, Bernard Ghanem, Qingming Huang

CoRR, 2023

A Study of Neural Collapse Phenomenon: Grassmannian Frame, Symmetry, Generalization.

Peifeng Gao, Qianqian Xu, Peisong Wen, Huiyang Shao, Zhiyong Yang, Qingming Huang

CoRR, 2023

A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning.

Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning.

Huiyang Shao, Qianqian Xu, Zhiyong Yang, Peisong Wen, Peifeng Gao, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework.

Siran Dai, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation.

Peifeng Gao, Qianqian Xu, Peisong Wen, Zhiyong Yang, Huiyang Shao, Qingming Huang

Proceedings of the International Conference on Machine Learning, 2023

Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild.

Huiyang Shao, Qianqian Xu, Peisong Wen, Peifeng Gao, Zhiyong Yang, Qingming Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Learning With Multiclass AUC: Theory and Algorithms.

Zhiyong Yang, Qianqian Xu, Shilong Bao, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction.

Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction.

Tianwei Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability.

Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

OpenAUC: Towards AUC-Oriented Open-Set Recognition.

Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm.

Huiyang Shao, Qianqian Xu, Zhiyong Yang, Shilong Bao, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport.

Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm.

Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Unified Framework against Topology and Class Imbalance.

Junyu Chen, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Recurrent Meta-Learning against Generalized Cold-start Problem in CTR Prediction.

Junyu Chen, Qianqian Xu, Zhiyong Yang, Ke Ma, Xiaochun Cao, Qingming Huang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

A Sparse-Motif Ensemble Graph Convolutional Network against Over-smoothing.

Xuan Jiang, Zhiyong Yang, Peisong Wen, Li Su, Qingming Huang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems.

Wenzheng Hou, Qianqian Xu, Zhiyong Yang, Shilong Bao, Yuan He, Qingming Huang

Proceedings of the International Conference on Machine Learning, 2022

ER: Equivariance Regularizer for Knowledge Graph Completion.

Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Geometry Interaction Knowledge Graph Embeddings.

Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction.

Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2021

When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking.

Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Implicit Feedbacks are Not Always Favorable: Iterative Relabeled One-Class Collaborative Filtering against Noisy Interactions.

Zitai Wang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Pareto Optimality for Fairness-constrained Collaborative Filtering.

Qianxiu Hao, Qianqian Xu, Zhiyong Yang, Qingming Huang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Learning Unified Embeddings for Recommendation via Meta-path Semantics.

Qianxiu Hao, Qianqian Xu, Zhiyong Yang, Qingming Huang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC.

Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang

Proceedings of the 38th International Conference on Machine Learning, 2021

Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association.

Peisong Wen, Qianqian Xu, Yangbangyan Jiang, Zhiyong Yang, Yuan He, Qingming Huang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Deep Partial Rank Aggregation for Personalized Attributes.

Qianqian Xu, Zhiyong Yang, Zuyao Chen, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models.

Yangbangyan Jiang, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao, Qingming Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Dual Quaternion Knowledge Graph Embeddings.

Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Task-distribution-aware Meta-learning for Cold-start CTR Prediction.

Tianwei Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Who Likes What? - SplitLBI in Exploring Preferential Diversity of Ratings.

Qianqian Xu, Jiechao Xiong, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Split Multiplicative Multi-View Subspace Clustering.

Zhiyong Yang, Qianqian Xu, Weigang Zhang, Xiaochun Cao, Qingming Huang

IEEE Trans. Image Process., 2019

Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer.

Zhiyong Yang, Qianqian Xu, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

iSplit LBI: Individualized Partial Ranking with Ties via Split LBI.

Qianqian Xu, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

DM2C: Deep Mixed-Modal Clustering.

Yangbangyan Jiang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Duet Robust Deep Subspace Clustering.

Yangbangyan Jiang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Collaborative Preference Embedding against Sparse Labels.

Shilong Bao, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao, Qingming Huang

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Deep Robust Subjective Visual Property Prediction in Crowdsourcing.

Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang, Yuan Yao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning Personalized Attribute Preference via Multi-Task AUC Optimization.

Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin.

Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

A Margin-based MLE for Crowdsourced Partial Ranking.

Qianqian Xu, Jiechao Xiong, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

When to Learn What: Deep Cognitive Subspace Clustering.

Yangbangyan Jiang, Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions.

Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Optimizing area under the ROC curve via extreme learning machines.

Zhiyong Yang, Taohong Zhang, Jingcheng Lu, Dezheng Zhang, Dorothy Kalui

Knowl. Based Syst., 2017

2016

Extreme Large Margin Distribution Machine and its applications for biomedical datasets.

Zhiyong Yang, Jingcheng Lu, Taohong Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016