Publications

2024

1. TPAMI IF:23.6

   Improved Diversity-Promoting Collaborative Metric Learning for Recommendation

   Shilong Bao, Qianqian Xu, Zhiyong Yang , and 3 more authors

   IEEE Transactions on Pattern Analysis and Machine Intelligence,  2024

   Bib PDF Code

   @article{bao2024improved,
     title = {Improved Diversity-Promoting Collaborative Metric Learning for Recommendation},
     author = {Bao, Shilong and Xu, Qianqian and Yang, Zhiyong and He, Yuan and Cao, Xiaochun and Huang, Qingming},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     year = {2024},
     publisher = {IEEE},
     first_author = {Bao Shilong},
   }

1. TPAMI IF:23.6

   Algorithm-Dependent Generalization of AUPRC Optimization: Theory and Algorithm

   Peisong Wen, Qianqian Xu, Zhiyong Yang , and 2 more authors

   IEEE Transactions on Pattern Analysis and Machine Intelligence,  2024

   Bib PDF Code

   @article{wen2024algorithm,
     title = {Algorithm-Dependent Generalization of AUPRC Optimization: Theory and Algorithm},
     author = {Wen, Peisong and Xu, Qianqian and Yang, Zhiyong and He, Yuan and Huang, Qingming},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     year = {2024},
     publisher = {IEEE},
     first_author = {Wen Peisong},
   }

1. TPAMI IF:23.6

   Mitigating Confounding Bias in Practical Recommender Systems with Partially Inaccessible Exposure Status

   Tianwei Cao, Qianqian Xu, Zhiyong Yang , and 1 more author

   IEEE Transactions on Pattern Analysis and Machine Intelligence,  2024

   Bib PDF

   @article{cao2024mitigating,
     title = {Mitigating Confounding Bias in Practical Recommender Systems with Partially Inaccessible Exposure Status},
     author = {Cao, Tianwei and Xu, Qianqian and Yang, Zhiyong and Huang, Qingming},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     year = {2024},
     publisher = {IEEE},
     first_author = {Cao Tianwei},
   }

1. IJCV IF:11.6

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

   Zitai Wang, Qianqian Xu, Zhiyong Yang , and 4 more authors

   International Journal of Computer Vision,  2024

   Bib PDF Code

   @article{wang2024improved,
     title = {Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-Label Classification},
     author = {Wang, Zitai and Xu, Qianqian and Yang, Zhiyong and Wen, Peisong and He, Yuan and Cao, Xiaochun and Huang, Qingming},
     journal = {International Journal of Computer Vision},
     year = {2024},
     first_author = {Wang Zitai},
   }

1. ICML CCF-A

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

   Zhiyong Yang , Qianqian Xu, Zitai Wang, and 5 more authors

   International Conference on Machine Learning,  2024

   Bib PDF Code

   @inproceedings{yang2024harnessing,
     title = {Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition},
     author = {Yang, Zhiyong and Xu, Qianqian and Wang, Zitai and Li, Sicong and Han, Boyu and Bao, Shilong and Cao, Xiaochun and Huang, Qingming},
     booktitle = {International Conference on Machine Learning},
     year = {2024},
     organization = {PMLR},
     first_author = {Yang Zhiyong},
   }

1. ICML CCF-ASpotlight3.5%

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

   Feiran Li, Qianqian Xu, Shilong Bao, and 4 more authors

   International Conference on Machine Learning,  2024

   Bib PDF Code Project

   @inproceedings{li2024size,
     title = {Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection},
     author = {Li, Feiran and Xu, Qianqian and Bao, Shilong and Yang, Zhiyong and Cong, Runmin and Cao, Xiaochun and Huang, Qingming},
     booktitle = {International Conference on Machine Learning},
     year = {2024},
     organization = {PMLR},
     awards = {Spotlight},
     rate = {3.5%},
     first_author = {Li Feiran},
     project = {https://ferry-li.github.io/SI_SOD/},
   }

1. ICML CCF-A

   ReconBoost: Boosting Can Achieve Modality Reconcilement

   Cong Hua, Qianqian Xu, Shilong Bao, and 2 more authors

   International Conference on Machine Learning,  2024

   Bib PDF Code

   @inproceedings{hua2024reconboost,
     title = {ReconBoost: Boosting Can Achieve Modality Reconcilement},
     author = {Hua, Cong and Xu, Qianqian and Bao, Shilong and Yang, Zhiyong and Huang, Qingming},
     booktitle = {International Conference on Machine Learning},
     year = {2024},
     organization = {PMLR},
     first_author = {Hua Cong},
   }

1. NeurIPS CCF-A

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

   Boyu Han, Qianqian Xu, Zhiyong Yang , and 4 more authors

   Advances in Neural Information Processing Systems,  2024

   Bib PDF Code

   @article{han2024aucseg,
     title = {AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation},
     author = {Han, Boyu and Xu, Qianqian and Yang, Zhiyong and Bao, Shilong and Wen, Peisong and Jiang, Yangbangyan and Huang, Qingming},
     journal = {Advances in Neural Information Processing Systems},
     year = {2024},
     first_author = {Han Boyu}
   }

1. NeurIPS CCF-A

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

   Benyuan Meng, Qianqian Xu, Zitai Wang, and 3 more authors

   Advances in Neural Information Processing Systems,  2024

   Bib PDF Code

     title = {Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques},
     author = {Meng, Benyuan and Xu, Qianqian and Wang, Zitai and Yang, Zhiyong and Cao, Xiaochun and Huang, Qingming},
     journal = {Advances in Neural Information Processing Systems},
     year = {2024},
     first_author = {Meng Benyuan}
   }

2023

1. TPAMI IF:23.6

   AUC-Oriented Domain Adaptation: From Theory to Algorithm

   Zhiyong Yang , Qianqian Xu, Shilong Bao, and 4 more authors

   IEEE Transactions on Pattern Analysis and Machine Intelligence,  2023

   Bib PDF Code

   @article{yang2023auc-oriented,
     title = {AUC-Oriented Domain Adaptation: From Theory to Algorithm},
     author = {Yang, Zhiyong and Xu, Qianqian and Bao, Shilong and Wen, Peisong and He, Yuan and Cao, Xiaochun and Huang, Qingming},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     year = {2023},
     publisher = {IEEE},
     first_author = {Yang Zhiyong},
   }

2. TPAMI IF:23.6

   Revisiting AUC-oriented Adversarial Training with Loss-Agnostic Perturbations

   Zhiyong Yang , Qianqian Xu, Wenzheng Hou, and 4 more authors

   IEEE Transactions on Pattern Analysis and Machine Intelligence,  2023

   Bib PDF Code

   @article{yang2023revisiting,
     title = {Revisiting AUC-oriented Adversarial Training with Loss-Agnostic Perturbations},
     author = {Yang, Zhiyong and Xu, Qianqian and Hou, Wenzheng and Bao, Shilong and He, Yuan and Cao, Xiaochun and Huang, Qingming},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     year = {2023},
     publisher = {IEEE},
     first_author = {Yang Zhiyong},
   }

1. TPAMI IF:23.6

   Positive-Unlabeled Learning with Label Distribution Alignment

   Yangbangyan Jiang, Qianqian Xu, Yunrui Zhao, and 4 more authors

   IEEE Transactions on Pattern Analysis and Machine Intelligence,  2023

   Bib PDF

   @article{jiang2023pu,
     title = {Positive-Unlabeled Learning with Label Distribution Alignment},
     author = {Jiang, Yangbangyan and Xu, Qianqian and Zhao, Yunrui and Yang, Zhiyong and Wen, Peisong and Cao, Xiaochun and Huang, Qingming},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     year = {2023},
     publisher = {IEEE},
     first_author = {Jiang Yangbangyan},
   }

1. ICML CCF-A

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

   Peifeng Gao, Qianqian Xu, Peisong Wen, and 3 more authors

   International Conference on Machine Learning,  2023

   Bib PDF Code

   @inproceedings{gao2023feature,
     title = {Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation},
     author = {Gao, Peifeng and Xu, Qianqian and Wen, Peisong and Yang, Zhiyong and Shao, Huiyang and Huang, Qingming},
     booktitle = {International Conference on Machine Learning},
     year = {2023},
     organization = {PMLR},
     first_author = {Gao Peifeng}
   }

1. NeurIPS CCF-ASpotlight3.1%

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

   Zitai Wang, Qianqian Xu, Zhiyong Yang , and 3 more authors

   Advances in Neural Information Processing Systems,  2023

   Bib PDF Code

   @article{wang2023unified,
     title = {A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning},
     author = {Wang, Zitai and Xu, Qianqian and Yang, Zhiyong and He, Yuan and Cao, Xiaochun and Huang, Qingming},
     journal = {Advances in Neural Information Processing Systems},
     year = {2023},
     first_author = {Wang Zitai},
     awards = {Spotlight},
     rate = {3.1%},
   }

1. NeurIPS CCF-A

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

   Huiyang Shao, Qianqian Xu, Zhiyong Yang , and 3 more authors

   Advances in Neural Information Processing Systems,  2023

   Bib PDF Code

   @article{shao2023weighted,
     title = {Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning},
     author = {Shao, Huiyang and Xu, Qianqian and Yang, Zhiyong and Wen, Peisong and Gao, Peifeng and Huang, Qingming},
     journal = {Advances in Neural Information Processing Systems},
     year = {2023},
     first_author = {Shao Huiyang}
   }

1. NeurIPS CCF-A

   DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework

   Siran Dai, Qianqian Xu, Zhiyong Yang , and 2 more authors

   Advances in Neural Information Processing Systems,  2023

   Bib PDF Code

   @article{dai2023drauc,
     title = {DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework},
     author = {Dai, Siran and Xu, Qianqian and Yang, Zhiyong and Cao, Xiaochun and Huang, Qingming},
     journal = {Advances in Neural Information Processing Systems},
     year = {2023},
     first_author = {Dai Siran}
   }

1. ICCV CCF-A

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

   Huiyang Shao, Qianqian Xu, Peisong Wen, and 3 more authors

   IEEE International Conference on Computer Vision,  2023

   Bib PDF Code

   @inproceedings{shao2023building,
     title = {Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild},
     author = {Shao, Huiyang and Xu, Qianqian and Wen, Peisong and Gao, Peifeng and Yang, Zhiyong and Huang, Qingming},
     booktitle = {IEEE International Conference on Computer Vision},
     year = {2023},
     first_author = {Shao Huiyang}
   }

2022

1. TPAMI IF:23.6

   Optimizing Two-way Partial AUC with an End-to-end Framework

   Zhiyong Yang , Qianqian Xu, Shilong Bao, and 3 more authors

   IEEE Transactions on Pattern Analysis and Machine Intelligence,  2022

   Bib PDF Code

   @article{yang2022optimizing,
     title = {Optimizing Two-way Partial AUC with an End-to-end Framework},
     author = {Yang, Zhiyong and Xu, Qianqian and Bao, Shilong and He, Yuan and Cao, Xiaochun and Huang, Qingming},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     year = {2022},
     publisher = {IEEE},
     first_author = {Yang Zhiyong}
   }

1. TPAMI IF:23.6

   Rethinking Label Flipping Attack: From Sample Masking to Sample Thresholding

   Qianqian Xu, Zhiyong Yang , Yunrui Zhao, and 2 more authors

   IEEE Transactions on Pattern Analysis and Machine Intelligence,  2022

   Bib

   @article{xu2022rethink,
     title = {Rethinking Label Flipping Attack: From Sample Masking to Sample Thresholding},
     author = {Xu, Qianqian and Yang, Zhiyong and Zhao, Yunrui and Cao, Xiaochun and Huang, Qingming},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     year = {2022},
     publisher = {IEEE},
     first_author = {Xu Qianqian}
   }

1. TPAMI IF:23.6

   Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling

   Shilong Bao, Qianqian Xu, Zhiyong Yang , and 2 more authors

   IEEE Transactions on Pattern Analysis and Machine Intelligence,  2022

   Bib PDF Code

   @article{bao2022rethinking,
     title = {Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling},
     author = {Bao, Shilong and Xu, Qianqian and Yang, Zhiyong and Cao, Xiaochun and Huang, Qingming},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     year = {2022},
     publisher = {IEEE},
     first_author = {Bao Shilong}
   }

1. TPAMI IF:23.6

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

   Zitai Wang, Qianqian Xu, Zhiyong Yang , and 3 more authors

   IEEE Transactions on Pattern Analysis and Machine Intelligence,  2022

   Bib PDF Code

   @article{wang2022optimizing,
     title = {Optimizing Partial Area Under the Top-k Curve: Theory and Practice},
     author = {Wang, Zitai and Xu, Qianqian and Yang, Zhiyong and He, Yuan and Cao, Xiaochun and Huang, Qingming},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     year = {2022},
     publisher = {IEEE},
     first_author = {Wang Zitai},
   }

1. TPAMI IF:23.6

   MaxMatch: Semi-Supervised Learning with Worst-Case Consistency

   Yangbangyan Jiang, Qianqian Xu, Zhiyong Yang , and 2 more authors

   IEEE Transactions on Pattern Analysis and Machine Intelligence,  2022

   Bib PDF Code

   @article{jiang2022max,
     title = {MaxMatch: Semi-Supervised Learning with Worst-Case Consistency},
     author = {Jiang, Yangbangyan and Xu, Qianqian and Yang, Zhiyong and Cao, Xiaochun and Huang, Qingming},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     year = {2022},
     publisher = {IEEE},
     first_author = {Jiang Yangbangyan}
   }

1. ICML CCF-A

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

   Wenzheng Hou, Qianqian Xu, Zhiyong Yang , and 3 more authors

   International Conference on Machine Learning,  2022

   Bib PDF Code

   @inproceedings{hou2022adauc,
     title = {AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems},
     author = {Hou, Wenzheng and Xu, Qianqian and Yang, Zhiyong and Bao, Shilong and He, Yuan and Huang, Qingming},
     booktitle = {International Conference on Machine Learning},
     pages = {8903--8925},
     year = {2022},
     organization = {PMLR},
     first_author = {Hou Wenzheng}
   }

1. NeurIPS CCF-AOral1.7%

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

   Shilong Bao, Qianqian Xu, Zhiyong Yang , and 3 more authors

   Advances in Neural Information Processing Systems,  2022

   Bib PDF Code

   @article{bao2022minority,
     title = {The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm},
     author = {Bao, Shilong and Xu, Qianqian and Yang, Zhiyong and He, Yuan and Cao, Xiaochun and Huang, Qingming},
     journal = {Advances in Neural Information Processing Systems},
     year = {2022},
     first_author = {Bao Shilong},
     awards = {Oral},
     rate = {1.7%},
   }

1. NeurIPS CCF-ASpotlight5%

   OpenAUC: Towards AUC-Oriented Open-Set Recognition

   Zitai Wang, Qianqian Xu, Zhiyong Yang , and 3 more authors

   Advances in Neural Information Processing Systems,  2022

   Bib PDF Code

   @article{wang2022openauc,
     title = {OpenAUC: Towards AUC-Oriented Open-Set Recognition},
     author = {Wang, Zitai and Xu, Qianqian and Yang, Zhiyong and He, Yuan and Cao, Xiaochun and Huang, Qingming},
     journal = {Advances in Neural Information Processing Systems},
     year = {2022},
     first_author = {Wang Zitai},
     awards = {Spotlight},
     rate = {5%},
   }

1. NeurIPS CCF-A

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

   Peisong Wen, Qianqian Xu, Zhiyong Yang , and 2 more authors

   Advances in Neural Information Processing Systems,  2022

   Bib PDF Code

   @article{wen2022exploring,
     title = {Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability},
     author = {Wen, Peisong and Xu, Qianqian and Yang, Zhiyong and He, Yuan and and Huang, Qingming},
     journal = {Advances in Neural Information Processing Systems},
     year = {2022},
     first_author = {Wen Peisong}
   }

1. NeurIPS CCF-A

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

   Huiyang Shao, Qianqian Xu, Zhiyong Yang , and 2 more authors

   Advances in Neural Information Processing Systems,  2022

   Bib PDF Code

   @article{shao2022asymptotically,
     title = {Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm},
     author = {Shao, Huiyang and Xu, Qianqian and Yang, Zhiyong and Bao, Shilong and Huang, Qingming},
     journal = {Advances in Neural Information Processing Systems},
     year = {2022},
     first_author = {Shao Huiyang},
   }

1. NeurIPS CCF-A

   OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport

   Zongsheng Cao, Qianqian Xu, Zhiyong Yang , and 3 more authors

   Advances in Neural Information Processing Systems,  2022

   Bib PDF Code

   @article{cao2022otkge,
     title = {OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport},
     author = {Cao, Zongsheng and Xu, Qianqian and Yang, Zhiyong and He, Yuan and Cao, Xiaochun and Huang, Qingming},
     journal = {Advances in Neural Information Processing Systems},
     year = {2022},
     first_author = {Cao Zongsheng},
   }

1. AAAI CCF-A

   Geometry Interaction Knowledge Graph Embeddings

   Zongsheng Cao, Qianqian Xu, Zhiyong Yang , and 2 more authors

   AAAI Conference on Artificial Intelligence,  2022

   Bib PDF Code

   @inproceedings{cao2022geometry,
     title = {Geometry Interaction Knowledge Graph Embeddings},
     author = {Cao, Zongsheng and Xu, Qianqian and Yang, Zhiyong and Cao, Xiaochun and Huang, Qingming},
     booktitle = {AAAI Conference on Artificial Intelligence},
     year = {2022},
     first_author = {Cao Zongsheng}
   }

2. AAAI CCF-A

   ER: Equivariance Regularizer for Knowledge Graph Completion

   Zongsheng Cao, Qianqian Xu, Zhiyong Yang , and 1 more author

   AAAI Conference on Artificial Intelligence,  2022

   Bib PDF Code

   @inproceedings{cao2022er,
     title = {ER: Equivariance Regularizer for Knowledge Graph Completion},
     author = {Cao, Zongsheng and Xu, Qianqian and Yang, Zhiyong and Huang, Qingming},
     year = {2022},
     booktitle = {AAAI Conference on Artificial Intelligence},
     first_author = {Cao Zongsheng}
   }

1. IJCAI CCF-A

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

   Xuan Jiang, Zhiyong Yang , Peisong Wen, and 2 more authors

   International Joint Conference on Artificial Intelligence,  2022

   Bib PDF

   @inproceedings{ijcai2022-291,
     title = {A Sparse-Motif Ensemble Graph Convolutional Network against Over-smoothing},
     author = {Jiang, Xuan and Yang, Zhiyong and Wen, Peisong and Su, Li and Huang, Qingming},
     booktitle = {International Joint Conference on
                    Artificial Intelligence},
     publisher = {International Joint Conferences on Artificial Intelligence Organization},
     pages = {2094--2100},
     year = {2022},
     note = {Main Track},
     first_author = {Jiang Xuan},
   }

1. MM CCF-A

   A Unified Framework against Topology and Class Imbalance

   Junyu Chen, Qianqian Xu, Zhiyong Yang , and 3 more authors

   ACM International Conference on Multimedia,  2022
2. MM CCF-A

   Recurrent Meta-Learning against Generalized Cold-start problem in CTR Prediction

   Junyu Chen, Qianqian Xu, Zhiyong Yang , and 3 more authors

   ACM International Conference on Multimedia,  2022

2021

1. TPAMI IF:23.6

   Learning with Multiclass AUC: Theory and Algorithms

   Zhiyong Yang , Qianqian Xu, Shilong Bao, and 2 more authors

   IEEE Transactions on Pattern Analysis and Machine Intelligence,  2021

   Bib PDF Code

   @article{yang2021learning,
     title = {Learning with Multiclass AUC: Theory and Algorithms},
     author = {Yang, Zhiyong and Xu, Qianqian and Bao, Shilong and Cao, Xiaochun and Huang, Qingming},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     year = {2021},
     publisher = {IEEE},
     first_author = {Yang Zhiyong}
   }

1. TPAMI IF:23.6

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

   Tianwei Cao, Qianqian Xu, Zhiyong Yang , and 1 more author

   IEEE Transactions on Pattern Analysis and Machine Intelligence,  2021

   Bib PDF Code

   @article{cao2021meta,
     title = {Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction},
     author = {Cao, Tianwei and Xu, Qianqian and Yang, Zhiyong and Huang, Qingming},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     year = {2021},
     publisher = {IEEE},
     first_author = {Cao Tianwei}
   }

1. ICML CCF-ALong Talk3%

   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, and 3 more authors

   International Conference on Machine Learning,  2021

   Bib PDF Code

   @inproceedings{yang2021all,
     title = {When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC},
     author = {Yang, Zhiyong and Xu, Qianqian and Bao, Shilong and He, Yuan and Cao, Xiaochun and Huang, Qingming},
     booktitle = {International Conference on Machine Learning},
     pages = {11820--11829},
     year = {2021},
     organization = {PMLR},
     first_author = {Yang Zhiyong},
     awards = {Long Talk},
     rate = {3%}
   }

1. NeurIPS CCF-A

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

   Peisong Wen, Qianqian Xu, Zhiyong Yang , and 2 more authors

   Advances in Neural Information Processing Systems,  2021

   Bib PDF Code

   @article{wen2021false,
     title = {When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking},
     author = {Wen, Peisong and Xu, Qianqian and Yang, Zhiyong and He, Yuan and Huang, Qingming},
     journal = {Advances in Neural Information Processing Systems},
     volume = {34},
     pages = {5025--5037},
     year = {2021},
     first_author = {Wen Peisong}
   }

1. CVPR CCF-A

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

   Peisong Wen, Qianqian Xu, Yangbangyan Jiang, and 3 more authors

   IEEE/CVF Conference on Computer Vision and Pattern Recognition,  2021

   Bib PDF Code

   @inproceedings{wen2021seeking,
     title = {Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association},
     author = {Wen, Peisong and Xu, Qianqian and Jiang, Yangbangyan and Yang, Zhiyong and He, Yuan and Huang, Qingming},
     booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     pages = {16347--16356},
     year = {2021},
     first_author = {Wen Peisong}
   }

1. AAAI CCF-A

   Deep Partial Rank Aggregation for Personalized Attributes

   Qianqian Xu, Zhiyong Yang , Zuyao Chen, and 4 more authors

   AAAI Conference on Artificial Intelligence,  2021

   Bib PDF Code

   @inproceedings{xu2021deep,
     title = {Deep Partial Rank Aggregation for Personalized Attributes},
     author = {Xu, Qianqian and Yang, Zhiyong and Chen, Zuyao and Jiang, Yangbangyan and Cao, Xiaochun and Yao, Yuan and Huang, Qingming},
     booktitle = {AAAI Conference on Artificial Intelligence},
     volume = {35},
     number = {1},
     pages = {678--688},
     year = {2021},
     first_author = {Xu Qianqian}
   }

1. AAAI CCF-A

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

   Yangbangyan Jiang, Qianqian Xu, Ke Ma, and 3 more authors

   AAAI Conference on Artificial Intelligence,  2021

   Bib PDF

   @inproceedings{jiang2021select,
     title = {What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models},
     author = {Jiang, Yangbangyan and Xu, Qianqian and Ma, Ke and Yang, Zhiyong and Cao, Xiaochun and Huang, Qingming},
     booktitle = {AAAI Conference on Artificial Intelligence},
     volume = {35},
     number = {2},
     pages = {1708--1716},
     year = {2021},
     first_author = {Jiang Yangbangyan}
   }

1. AAAI CCF-A

   Dual Quaternion Knowledge Graph Embeddings

   Zongsheng Cao, Qianqian Xu, Zhiyong Yang , and 2 more authors

   AAAI Conference on Artificial Intelligence,  2021

   Bib PDF Code

   @inproceedings{cao2021dual,
     title = {Dual Quaternion Knowledge Graph Embeddings},
     author = {Cao, Zongsheng and Xu, Qianqian and Yang, Zhiyong and Cao, Xiaochun and Huang, Qingming},
     booktitle = {AAAI Conference on Artificial Intelligence},
     volume = {35},
     number = {8},
     pages = {6894--6902},
     year = {2021},
     first_author = {Cao Zongsheng}
   }

1. MM CCF-A

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

   Zitai Wang, Qianqian Xu, Zhiyong Yang , and 2 more authors

   ACM International Conference on Multimedia,  2021

   Bib PDF Code

   @inproceedings{wang2021implicit,
     title = {Implicit Feedbacks are Not Always Favorable: Iterative Relabeled One-Class Collaborative Filtering against Noisy Interactions},
     author = {Wang, Zitai and Xu, Qianqian and Yang, Zhiyong and Cao, Xiaochun and Huang, Qingming},
     booktitle = {ACM International Conference on Multimedia},
     pages = {3070--3078},
     year = {2021},
     first_author = {Wang Zitai}
   }

1. MM CCF-A

   Pareto Optimality for Fairness-constrained Collaborative Filtering

   Qianxiu Hao, Qianqian Xu, Zhiyong Yang , and 1 more author

   ACM International Conference on Multimedia,  2021

   Bib PDF Code

   @inproceedings{hao2021pareto,
     title = {Pareto Optimality for Fairness-constrained Collaborative Filtering},
     author = {Hao, Qianxiu and Xu, Qianqian and Yang, Zhiyong and Huang, Qingming},
     booktitle = {ACM International Conference on Multimedia},
     pages = {5619--5627},
     year = {2021},
     first_author = {Hao Qianxiu}
   }

2. MM CCF-AOral

   Learning Meta-path-aware Embeddings for Recommender Systems

   Qianxiu Hao, Qianqian Xu, Zhiyong Yang , and 1 more author

   ACM International Conference on Multimedia,  2021

   Bib PDF Code

   @inproceedings{hao2021learning,
     title = {Learning Meta-path-aware Embeddings for Recommender Systems},
     author = {Hao, Qianxiu and Xu, Qianqian and Yang, Zhiyong and Huang, Qingming},
     booktitle = {ACM International Conference on Multimedia},
     pages = {3909--3917},
     year = {2021},
     first_author = {Hao Qianxiu},
     awards = {Oral}
   }

2020

1. TPAMI IF:23.6

   Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction

   Zhiyong Yang , Qianqian Xu, Xiaochun Cao, and 1 more author

   IEEE Transactions on Pattern Analysis and Machine Intelligence,  2020

   Bib PDF

   @article{yang2020task,
     title = {Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction},
     author = {Yang, Zhiyong and Xu, Qianqian and Cao, Xiaochun and Huang, Qingming},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     volume = {43},
     number = {11},
     pages = {4094--4110},
     year = {2020},
     publisher = {IEEE},
     first_author = {Yang Zhiyong}
   }

1. TPAMI IF:23.6

   Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction

   Qianqian Xu, Zhiyong Yang , Yangbangyan Jiang, and 3 more authors

   IEEE Transactions on Pattern Analysis and Machine Intelligence,  2020

   Bib PDF Code

   @article{xu2020not,
     title = {Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction},
     author = {Xu, Qianqian and Yang, Zhiyong and Jiang, Yangbangyan and Cao, Xiaochun and Yao, Yuan and Huang, Qingming},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     year = {2020},
     publisher = {IEEE},
     first_author = {Xu Qianqian}
   }

1. AAAI CCF-AOral

   Who Likes What?—SplitLBI in Exploring Preferential Diversity of Ratings

   Qianqian Xu, Jiechao Xiong, Zhiyong Yang , and 3 more authors

   AAAI Conference on Artificial Intelligence,  2020

   Bib PDF

   @inproceedings{xu2020likes,
     title = {Who Likes What?—SplitLBI in Exploring Preferential Diversity of Ratings},
     author = {Xu, Qianqian and Xiong, Jiechao and Yang, Zhiyong and Cao, Xiaochun and Huang, Qingming and Yao, Yuan},
     booktitle = {AAAI Conference on Artificial Intelligence},
     volume = {34},
     number = {01},
     pages = {262--269},
     year = {2020},
     first_author = {Xu Qianqian},
     awards = {Oral}
   }

1. MM CCF-A

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

   Tianwei Cao, Qianqian Xu, Zhiyong Yang , and 1 more author

   ACM International Conference on Multimedia,  2020

   Bib PDF Code

   @inproceedings{cao2020task,
     title = {Task-distribution-aware Meta-learning for Cold-start CTR Prediction},
     author = {Cao, Tianwei and Xu, Qianqian and Yang, Zhiyong and Huang, Qingming},
     booktitle = {ACM International Conference on Multimedia},
     pages = {3514--3522},
     year = {2020},
     first_author = {Cao Tianwei}
   }

2019

1. NeurIPS CCF-A

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

   Zhiyong Yang , Qianqian Xu, Yangbangyan Jiang, and 2 more authors

   Advances in Neural Information Processing Systems,  2019

   Bib PDF

   @article{yang2019generalized,
     title = {Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer},
     author = {Yang, Zhiyong and Xu, Qianqian and Jiang, Yangbangyan and Cao, Xiaochun and Huang, Qingming},
     journal = {Advances in Neural Information Processing Systems},
     volume = {32},
     year = {2019},
     first_author = {Yang Zhiyong}
   }

1. NeurIPS CCF-A

   iSplit LBI: Individualized Partial Ranking with Ties via Split LBI

   Qianqian Xu, Xinwei Sun, Zhiyong Yang , and 3 more authors

   Advances in Neural Information Processing Systems,  2019

   Bib PDF Code

   @article{xu2019isplit,
     title = {iSplit LBI: Individualized Partial Ranking with Ties via Split LBI},
     author = {Xu, Qianqian and Sun, Xinwei and Yang, Zhiyong and Cao, Xiaochun and Huang, Qingming and Yao, Yuan},
     journal = {Advances in Neural Information Processing Systems},
     volume = {32},
     year = {2019},
     first_author = {Xu Qianqian}
   }

1. NeurIPS CCF-ASpotlight2.4%

   DM2C: Deep Mixed-Modal Clustering

   Yangbangyan Jiang, Qianqian Xu, Zhiyong Yang , and 2 more authors

   Advances in Neural Information Processing Systems,  2019

   Bib PDF Code

   @article{jiang2019dm2c,
     title = {DM2C: Deep Mixed-Modal Clustering},
     author = {Jiang, Yangbangyan and Xu, Qianqian and Yang, Zhiyong and Cao, Xiaochun and Huang, Qingming},
     journal = {Advances in Neural Information Processing Systems},
     volume = {32},
     year = {2019},
     first_author = {Jiang Yangbangyan},
     awards = {Spotlight},
     rate = {2.4%},
   }

1. CVPR CCF-A

   Deep Robust Subjective Visual Property Prediction in Crowdsourcing

   Qianqian Xu, Zhiyong Yang , Yangbangyan Jiang, and 3 more authors

   IEEE/CVF Conference on Computer Vision and Pattern Recognition,  2019

   Bib PDF

   @inproceedings{xu2019deep,
     title = {Deep Robust Subjective Visual Property Prediction in Crowdsourcing},
     author = {Xu, Qianqian and Yang, Zhiyong and Jiang, Yangbangyan and Cao, Xiaochun and Huang, Qingming and Yao, Yuan},
     booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     pages = {8993--9001},
     year = {2019},
     first_author = {Xu Qianqian}
   }

1. TIP IF:11.041

   Split Multiplicative Multi-view Subspace Clustering

   Zhiyong Yang , Qianqian Xu, Weigang Zhang, and 2 more authors

   IEEE Transactions on Image Processing,  2019

   Bib PDF Code

   @article{yang2019split,
     title = {Split Multiplicative Multi-view Subspace Clustering},
     author = {Yang, Zhiyong and Xu, Qianqian and Zhang, Weigang and Cao, Xiaochun and Huang, Qingming},
     journal = {IEEE Transactions on Image Processing},
     volume = {28},
     number = {10},
     pages = {5147--5160},
     year = {2019},
     publisher = {IEEE},
     first_author = {Yang Zhiyong}
   }

1. AAAI CCF-AOral6%

   Learning Personalized Attribute Preference via Multi-task AUC Optimization

   Zhiyong Yang , Qianqian Xu, Xiaochun Cao, and 1 more author

   AAAI Conference on Artificial Intelligence,  2019

   Bib PDF

   @inproceedings{yang2019learning,
     title = {Learning Personalized Attribute Preference via Multi-task AUC Optimization},
     author = {Yang, Zhiyong and Xu, Qianqian and Cao, Xiaochun and Huang, Qingming},
     booktitle = {AAAI Conference on Artificial Intelligence},
     volume = {33},
     number = {01},
     pages = {5660--5667},
     year = {2019},
     first_author = {Yang Zhiyong},
     awards = {Oral},
     rate = {6%}
   }

1. AAAI CCF-A

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

   Ke Ma, Qianqian Xu, Zhiyong Yang , and 1 more author

   AAAI Conference on Artificial Intelligence,  2019

   Bib PDF Code

   @inproceedings{ma2019less,
     title = {Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin},
     author = {Ma, Ke and Xu, Qianqian and Yang, Zhiyong and Cao, Xiaochun},
     booktitle = {AAAI Conference on Artificial Intelligence},
     volume = {33},
     number = {01},
     pages = {2978--2985},
     year = {2019},
     first_author = {Ma Ke}
   }

1. MM CCF-AOral

   Collaborative Preference Embedding against Sparse Labels

   Shilong Bao, Qianqian Xu, Ke Ma, and 3 more authors

   ACM International Conference on Multimedia,  2019

   Bib PDF

   @inproceedings{bao2019collaborative,
     title = {Collaborative Preference Embedding against Sparse Labels},
     author = {Bao, Shilong and Xu, Qianqian and Ma, Ke and Yang, Zhiyong and Cao, Xiaochun and Huang, Qingming},
     booktitle = {ACM International Conference on Multimedia},
     pages = {2079--2087},
     year = {2019},
     first_author = {Bao Shilong},
     awards = {Oral}
   }

1. MM CCF-ASpotlight2.4%

   Duet Robust Deep Subspace Clustering

   Yangbangyan Jiang, Qianqian Xu, Zhiyong Yang , and 2 more authors

   ACM International Conference on Multimedia,  2019

   Bib PDF

   @inproceedings{jiang2019duet,
     title = {Duet Robust Deep Subspace Clustering},
     author = {Jiang, Yangbangyan and Xu, Qianqian and Yang, Zhiyong and Cao, Xiaochun and Huang, Qingming},
     booktitle = {ACM International Conference on Multimedia},
     pages = {1596--1604},
     year = {2019},
     first_author = {Jiang Yangbangyan},
     awards = {Spotlight},
     rate = {2.4%}
   }

2018

1. AAAI CCF-A

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

   Zhiyong Yang , Qianqian Xu, Xiaochun Cao, and 1 more author

   AAAI Conference on Artificial Intelligence,  2018

   Bib PDF

   @inproceedings{yang2018common,
     title = {From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions},
     author = {Yang, Zhiyong and Xu, Qianqian and Cao, Xiaochun and Huang, Qingming},
     booktitle = {AAAI Conference on Artificial Intelligence},
     volume = {32},
     number = {1},
     year = {2018},
     first_author = {Yang Zhiyong}
   }

1. MM CCF-A

   A Margin-based MLE for Crowdsourced Partial Ranking

   Qianqian Xu, Jiechao Xiong, Xinwei Sun, and 4 more authors

   ACM International Conference on Multimedia,  2018

   Bib PDF

   @inproceedings{xu2018margin,
     title = {A Margin-based MLE for Crowdsourced Partial Ranking},
     author = {Xu, Qianqian and Xiong, Jiechao and Sun, Xinwei and Yang, Zhiyong and Cao, Xiaochun and Huang, Qingming and Yao, Yuan},
     booktitle = {ACM International Conference on Multimedia},
     pages = {591--599},
     year = {2018},
     first_author = {Xu Qianqian}
   }

1. MM CCF-A

   When to Learn What: Deep Cognitive Subspace Clustering

   Yangbangyan Jiang, Zhiyong Yang , Qianqian Xu, and 2 more authors

   ACM International Conference on Multimedia,  2018

   Bib PDF

   @inproceedings{jiang2018learn,
     title = {When to Learn What: Deep Cognitive Subspace Clustering},
     author = {Jiang, Yangbangyan and Yang, Zhiyong and Xu, Qianqian and Cao, Xiaochun and Huang, Qingming},
     booktitle = {ACM International Conference on Multimedia},
     pages = {718--726},
     year = {2018},
     first_author = {Jiang Yangbangyan}
   }