Zhiyong Yang - RankMe

133 papers A* 53Journal 78Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Unified Perspective for Loss-Oriented Imbalanced Learning via Localization. IEEE Trans. Pattern Anal. Mach. Intell. Zitai Wang, Qianqian Xu, Zhiyong Yang, Zhikang Xu, Linchao Zhang, Xiaochun Cao, Qingming Huang
2026	J	`jnl`	BlackMirror: Black-Box Backdoor Detection for Text-to-Image Models via Instruction-Response Deviation. CoRR Feiran Li, Qianqian Xu, Shilong Bao, Zhiyong Yang, Xilin Zhao, Xiaochun Cao, Qingming Huang
2026	J	`jnl`	Closing the Approximation Gap of Partial AUC Optimization: A Tale of Two Formulations. IEEE Trans. Pattern Anal. Mach. Intell. Yangbangyan Jiang, Qianqian Xu, Huiyang Shao, Zhiyong Yang, Shilong Bao, Xiaochun Cao, Qingming Huang
2026	J	`jnl`	Cost-Aware AUC Optimization via Adaptive Kernel Density Estimation. IEEE Trans. Pattern Anal. Mach. Intell. Peisong Wen, Qianqian Xu, Zhiyong Yang, Huiyang Shao, Linchao Zhang, Qingming Huang
2026	J	`jnl`	DirMixE: Harnessing Test Agnostic Long-Tail Recognition With Hierarchical Label Vartiations. IEEE Trans. Pattern Anal. Mach. Intell. Zhiyong Yang, Qianqian Xu, Sicong Li, Zitai Wang, Xiaochun Cao, Qingming Huang
2026	J	`jnl`	Guiding Diffusion-based Reconstruction with Contrastive Signals for Balanced Visual Representation. CoRR Boyu Han, Qianqian Xu, Shilong Bao, Zhiyong Yang, Ruochen Cui, Xilin Zhao, Qingming Huang
2026	J	`jnl`	Mind the Way You Select Negative Texts: Pursuing the Distance Consistency in OOD Detection with VLMs. CoRR Zhikang Xu, Qianqian Xu, Zitai Wang, Cong Hua, Sicong Li, Zhiyong Yang, Qingming Huang
2026	A*	`conf`	Quantifying the Potential to Escape Filter Bubbles: A Behavior-Aware Measure via Contrastive Simulation. AAAI Difu Feng, Qianqian Xu, Zitai Wang, Cong Hua, Zhiyong Yang, Qingming Huang
2026	J	`jnl`	Toward Size-Invariant Salient Object Detection: A Generic Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. Shilong Bao, Qianqian Xu, Feiran Li, Boyu Han, Zhiyong Yang, Xiaochun Cao, Qingming Huang
2026	A*	`conf`	TuckA: Hierarchical Compact Tensor Experts for Efficient Fine-Tuning. AAAI Qifeng Lei, Zhiyong Yang, Qianqian Xu, Cong Hua, Peisong Wen, Qingming Huang
2025	A*	`conf`	ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via α-β-Divergence. ICML Guanghui Wang, Zhiyong Yang, Zitai Wang, Shi Wang, Qianqian Xu, Qingming Huang
2025	J	`jnl`	ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via α-β-Divergence. CoRR Guanghui Wang, Zhiyong Yang, Zitai Wang, Shi Wang, Qianqian Xu, Qingming Huang
2025	J	`jnl`	AUCPro: AUC-Oriented Provable Robustness Learning. IEEE Trans. Pattern Anal. Mach. Intell. Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
2025	A*	`conf`	Bidirectional Logits Tree: Pursuing Granularity Reconcilement in Fine-Grained Classification. AAAI Zhiguang Lu, Qianqian Xu, Shilong Bao, Zhiyong Yang, Qingming Huang
2025	J	`jnl`	Closing the Approximation Gap of Partial AUC Optimization: A Tale of Two Formulations. CoRR Yangbangyan Jiang, Qianqian Xu, Huiyang Shao, Zhiyong Yang, Shilong Bao, Xiaochun Cao, Qingming Huang
2025	J	`jnl`	Dual-Stage Reweighted MoE for Long-Tailed Egocentric Mistake Detection. CoRR Boyu Han, Qianqian Xu, Shilong Bao, Zhiyong Yang, Sicong Li, Qingming Huang
2025	A*	`conf`	EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion. AAAI Yuchen Sun, Qianqian Xu, Zitai Wang, Zhiyong Yang, Junwei He
2025	A*	`conf`	Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification. ICML Sicong Li, Qianqian Xu, Zhiyong Yang, Zitai Wang, Linchao Zhang, Xiaochun Cao, Qingming Huang
2025	J	`jnl`	Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification. CoRR Sicong Li, Qianqian Xu, Zhiyong Yang, Zitai Wang, Linchao Zhang, Xiaochun Cao, Qingming Huang
2025	J	`jnl`	GAHE: Geometry-Aware Embedding for Hyper-Relational Knowledge Graph Representation. ACM Trans. Multim. Comput. Commun. Appl. Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
2025	—	`conf`	Hybrid Generative Fusion for Efficient and Privacy-Preserving Face Recognition Dataset Generation. ICCVW Feiran Li, Qianqian Xu, Shilong Bao, Boyu Han, Zhiyong Yang, Qingming Huang
2025	J	`jnl`	Hybrid Generative Fusion for Efficient and Privacy-Preserving Face Recognition Dataset Generation. CoRR Feiran Li, Qianqian Xu, Shilong Bao, Boyu Han, Zhiyong Yang, Qingming Huang
2025	J	`jnl`	LightFair: Towards an Efficient Alternative for Fair T2I Diffusion via Debiasing Pre-trained Text Encoders. CoRR Boyu Han, Qianqian Xu, Shilong Bao, Zhiyong Yang, Kangli Zi, Qingming Huang
2025	A*	`conf`	MixBridge: Heterogeneous Image-to-Image Backdoor Attack through Mixture of Schrödinger Bridges. ICML Shixi Qin, Zhiyong Yang, Shilong Bao, Shi Wang, Qianqian Xu, Qingming Huang
2025	J	`jnl`	MixBridge: Heterogeneous Image-to-Image Backdoor Attack through Mixture of Schrödinger Bridges. CoRR Shixi Qin, Zhiyong Yang, Shilong Bao, Shi Wang, Qianqian Xu, Qingming Huang
2025	J	`jnl`	OTRec: Cross-Modal Learning for Multimodal Recommendation via Optimal Transport. IEEE Trans. Multim. Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
2025	A*	`conf`	One Image is Worth a Thousand Words: A Usability Preservable Text-Image Collaborative Erasing Framework. ICML Feiran Li, Qianqian Xu, Shilong Bao, Zhiyong Yang, Xiaochun Cao, Qingming Huang
2025	J	`jnl`	One Image is Worth a Thousand Words: A Usability Preservable Text-Image Collaborative Erasing Framework. CoRR Feiran Li, Qianqian Xu, Shilong Bao, Zhiyong Yang, Xiaochun Cao, Qingming Huang
2025	A*	`conf`	OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning. ICML Cong Hua, Qianqian Xu, Zhiyong Yang, Zitai Wang, Shilong Bao, Qingming Huang
2025	J	`jnl`	OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning. CoRR Cong Hua, Qianqian Xu, Zhiyong Yang, Zitai Wang, Shilong Bao, Qingming Huang
2025	J	`jnl`	Practically Unbiased Pairwise Loss for Recommendation With Implicit Feedback. IEEE Trans. Pattern Anal. Mach. Intell. Tianwei Cao, Qianqian Xu, Zhiyong Yang, Zhanyu Ma, Qingming Huang
2025	J	`jnl`	Quantifying the Potential to Escape Filter Bubbles: A Behavior-Aware Measure via Contrastive Simulation. CoRR Difu Feng, Qianqian Xu, Zitai Wang, Cong Hua, Zhiyong Yang, Qingming Huang
2025	J	`jnl`	SAQE: Complex Logical Query Answering via Semantic-Aware Representation Learning. IEEE Trans. Knowl. Data Eng. Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
2025	A*	`conf`	SSE-SAM: Balancing Head and Tail Classes Gradually Through Stage-Wise SAM. AAAI Xingyu Lyu, Qianqian Xu, Zhiyong Yang, Shaojie Lyu, Qingming Huang
2025	J	`jnl`	Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-label Classification. Int. J. Comput. Vis. Zitai Wang, Qianqian Xu, Zhiyong Yang, Peisong Wen, Yuan He, Xiaochun Cao, Qingming Huang
2025	J	`jnl`	Towards Size-invariant Salient Object Detection: A Generic Evaluation and Optimization Approach. CoRR Shilong Bao, Qianqian Xu, Feiran Li, Boyu Han, Zhiyong Yang, Xiaochun Cao, Qingming Huang
2025	J	`jnl`	TuckA: Hierarchical Compact Tensor Experts for Efficient Fine-Tuning. CoRR Qifeng Lei, Zhiyong Yang, Qianqian Xu, Cong Hua, Peisong Wen, Qingming Huang
2024	A*	`conf`	AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation. NeurIPS Boyu Han, Qianqian Xu, Zhiyong Yang, Shilong Bao, Peisong Wen, Yangbangyan Jiang, Qingming Huang
2024	J	`jnl`	AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation. CoRR Boyu Han, Qianqian Xu, Zhiyong Yang, Shilong Bao, Peisong Wen, Yangbangyan Jiang, Qingming Huang
2024	J	`jnl`	Algorithm-Dependent Generalization of AUPRC Optimization: Theory and Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang
2024	J	`jnl`	Bidirectional Logits Tree: Pursuing Granularity Reconcilement in Fine-Grained Classification. CoRR Zhiguang Lu, Qianqian Xu, Shilong Bao, Zhiyong Yang, Qingming Huang
2024	J	`jnl`	EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion. CoRR Yuchen Sun, Qianqian Xu, Zitai Wang, Zhiyong Yang, Junwei He
2024	A*	`conf`	Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition. ICML Zhiyong Yang, Qianqian Xu, Zitai Wang, Sicong Li, Boyu Han, Shilong Bao, Xiaochun Cao, Qingming Huang
2024	J	`jnl`	Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition. CoRR Zhiyong Yang, Qianqian Xu, Zitai Wang, Sicong Li, Boyu Han, Shilong Bao, Xiaochun Cao, Qingming Huang
2024	J	`jnl`	Improved Diversity-Promoting Collaborative Metric Learning for Recommendation. CoRR Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
2024	J	`jnl`	Improved Diversity-Promoting Collaborative Metric Learning for Recommendation. IEEE Trans. Pattern Anal. Mach. Intell. Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
2024	J	`jnl`	Mitigating Confounding Bias in Practical Recommender Systems With Partially Inaccessible Exposure Status. IEEE Trans. Pattern Anal. Mach. Intell. Tianwei Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang
2024	A*	`conf`	ReconBoost: Boosting Can Achieve Modality Reconcilement. ICML Cong Hua, Qianqian Xu, Shilong Bao, Zhiyong Yang, Qingming Huang
2024	J	`jnl`	ReconBoost: Boosting Can Achieve Modality Reconcilement. CoRR Cong Hua, Qianqian Xu, Shilong Bao, Zhiyong Yang, Qingming Huang
2024	J	`jnl`	SSE-SAM: Balancing Head and Tail Classes Gradually through Stage-Wise SAM. CoRR Xingyu Lyu, Qianqian Xu, Zhiyong Yang, Shaojie Lyu, Qingming Huang
2024	A*	`conf`	Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection. ICML Feiran Li, Qianqian Xu, Shilong Bao, Zhiyong Yang, Runmin Cong, Xiaochun Cao, Qingming Huang
2024	J	`jnl`	Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection. CoRR Feiran Li, Qianqian Xu, Shilong Bao, Zhiyong Yang, Runmin Cong, Xiaochun Cao, Qingming Huang
2024	A*	`conf`	Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques. NeurIPS Benyuan Meng, Qianqian Xu, Zitai Wang, Zhiyong Yang, Xiaochun Cao, Qingming Huang
2024	J	`jnl`	Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques. CoRR Benyuan Meng, Qianqian Xu, Zitai Wang, Zhiyong Yang, Xiaochun Cao, Qingming Huang
2024	J	`jnl`	Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-Label Classification. CoRR Zitai Wang, Qianqian Xu, Zhiyong Yang, Peisong Wen, Yuan He, Xiaochun Cao, Qingming Huang
2023	J	`jnl`	A Study of Neural Collapse Phenomenon: Grassmannian Frame, Symmetry, Generalization. CoRR Peifeng Gao, Qianqian Xu, Peisong Wen, Huiyang Shao, Zhiyong Yang, Qingming Huang
2023	A*	`conf`	A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning. NeurIPS Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
2023	J	`jnl`	A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning. CoRR Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
2023	J	`jnl`	AUC-Oriented Domain Adaptation: From Theory to Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. Zhiyong Yang, Qianqian Xu, Shilong Bao, Peisong Wen, Yuan He, Xiaochun Cao, Qingming Huang
2023	A*	`conf`	Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild. ICCV Huiyang Shao, Qianqian Xu, Peisong Wen, Peifeng Gao, Zhiyong Yang, Qingming Huang
2023	A*	`conf`	DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework. NeurIPS Siran Dai, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
2023	J	`jnl`	DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework. CoRR Siran Dai, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
2023	A*	`conf`	Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation. ICML Peifeng Gao, Qianqian Xu, Peisong Wen, Zhiyong Yang, Huiyang Shao, Qingming Huang
2023	J	`jnl`	MaxMatch: Semi-Supervised Learning With Worst-Case Consistency. IEEE Trans. Pattern Anal. Mach. Intell. Yangbangyan Jiang, Xiaodan Li, Yuefeng Chen, Yuan He, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
2023	J	`jnl`	Optimizing Partial Area Under the Top-k Curve: Theory and Practice. IEEE Trans. Pattern Anal. Mach. Intell. Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
2023	J	`jnl`	Optimizing Two-Way Partial AUC With an End-to-End Framework. IEEE Trans. Pattern Anal. Mach. Intell. Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang
2023	J	`jnl`	Positive-Unlabeled Learning With Label Distribution Alignment. IEEE Trans. Pattern Anal. Mach. Intell. Yangbangyan Jiang, Qianqian Xu, Yunrui Zhao, Zhiyong Yang, Peisong Wen, Xiaochun Cao, Qingming Huang
2023	J	`jnl`	Rethinking Collaborative Metric Learning: Toward an Efficient Alternative Without Negative Sampling. IEEE Trans. Pattern Anal. Mach. Intell. Shilong Bao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
2023	J	`jnl`	Rethinking Label Flipping Attack: From Sample Masking to Sample Thresholding. IEEE Trans. Pattern Anal. Mach. Intell. Qianqian Xu, Zhiyong Yang, Yunrui Zhao, Xiaochun Cao, Qingming Huang
2023	J	`jnl`	Revisiting AUC-Oriented Adversarial Training With Loss-Agnostic Perturbations. IEEE Trans. Pattern Anal. Mach. Intell. Zhiyong Yang, Qianqian Xu, Wenzheng Hou, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang
2023	J	`jnl`	Towards Demystifying the Generalization Behaviors When Neural Collapse Emerges. CoRR Peifeng Gao, Qianqian Xu, Yibo Yang, Peisong Wen, Huiyang Shao, Zhiyong Yang, Bernard Ghanem, Qingming Huang
2023	A*	`conf`	Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning. NeurIPS Huiyang Shao, Qianqian Xu, Zhiyong Yang, Peisong Wen, Peifeng Gao, Qingming Huang
2022	A*	`conf`	A Sparse-Motif Ensemble Graph Convolutional Network against Over-smoothing. IJCAI Xuan Jiang, Zhiyong Yang, Peisong Wen, Li Su, Qingming Huang
2022	A*	`conf`	A Unified Framework against Topology and Class Imbalance. ACM Multimedia Junyu Chen, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
2022	A*	`conf`	AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems. ICML Wenzheng Hou, Qianqian Xu, Zhiyong Yang, Shilong Bao, Yuan He, Qingming Huang
2022	J	`jnl`	AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems. CoRR Wenzheng Hou, Qianqian Xu, Zhiyong Yang, Shilong Bao, Yuan He, Qingming Huang
2022	A*	`conf`	Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm. NeurIPS Huiyang Shao, Qianqian Xu, Zhiyong Yang, Shilong Bao, Qingming Huang
2022	J	`jnl`	Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm. CoRR Huiyang Shao, Qianqian Xu, Zhiyong Yang, Shilong Bao, Qingming Huang
2022	A*	`conf`	ER: Equivariance Regularizer for Knowledge Graph Completion. AAAI Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang
2022	J	`jnl`	ER: Equivariance Regularizer for Knowledge Graph Completion. CoRR Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang
2022	A*	`conf`	Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability. NeurIPS Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang
2022	J	`jnl`	Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability. CoRR Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang
2022	A*	`conf`	Geometry Interaction Knowledge Graph Embeddings. AAAI Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
2022	J	`jnl`	Geometry Interaction Knowledge Graph Embeddings. CoRR Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
2022	J	`jnl`	Learning With Multiclass AUC: Theory and Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. Zhiyong Yang, Qianqian Xu, Shilong Bao, Xiaochun Cao, Qingming Huang
2022	J	`jnl`	MaxMatch: Semi-Supervised Learning with Worst-Case Consistency. CoRR Yangbangyan Jiang, Xiaodan Li, Yuefeng Chen, Yuan He, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
2022	J	`jnl`	Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction. CoRR Tianwei Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang
2022	J	`jnl`	Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction. IEEE Trans. Pattern Anal. Mach. Intell. Tianwei Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang
2022	J	`jnl`	Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction. IEEE Trans. Pattern Anal. Mach. Intell. Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming Huang
2022	A*	`conf`	OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport. NeurIPS Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
2022	A*	`conf`	OpenAUC: Towards AUC-Oriented Open-Set Recognition. NeurIPS Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
2022	J	`jnl`	OpenAUC: Towards AUC-Oriented Open-Set Recognition. CoRR Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
2022	J	`jnl`	Optimizing Partial Area Under the Top-k Curve: Theory and Practice. CoRR Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
2022	J	`jnl`	Optimizing Two-way Partial AUC with an End-to-end Framework. CoRR Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang
2022	A*	`conf`	Recurrent Meta-Learning against Generalized Cold-start Problem in CTR Prediction. ACM Multimedia Junyu Chen, Qianqian Xu, Zhiyong Yang, Ke Ma, Xiaochun Cao, Qingming Huang
2022	J	`jnl`	Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling. CoRR Shilong Bao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
2022	A*	`conf`	The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm. NeurIPS Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
2022	J	`jnl`	The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm. CoRR Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
2021	A*	`conf`	Deep Partial Rank Aggregation for Personalized Attributes. AAAI Qianqian Xu, Zhiyong Yang, Zuyao Chen, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming Huang
2021	A*	`conf`	Dual Quaternion Knowledge Graph Embeddings. AAAI Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
2021	A*	`conf`	Implicit Feedbacks are Not Always Favorable: Iterative Relabeled One-Class Collaborative Filtering against Noisy Interactions. ACM Multimedia Zitai Wang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
2021	A*	`conf`	Learning Unified Embeddings for Recommendation via Meta-path Semantics. ACM Multimedia Qianxiu Hao, Qianqian Xu, Zhiyong Yang, Qingming Huang
2021	J	`jnl`	Learning with Multiclass AUC: Theory and Algorithms. CoRR Zhiyong Yang, Qianqian Xu, Shilong Bao, Xiaochun Cao, Qingming Huang
2021	A*	`conf`	Pareto Optimality for Fairness-constrained Collaborative Filtering. ACM Multimedia Qianxiu Hao, Qianqian Xu, Zhiyong Yang, Qingming Huang
2021	A*	`conf`	Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association. CVPR Peisong Wen, Qianqian Xu, Yangbangyan Jiang, Zhiyong Yang, Yuan He, Qingming Huang
2021	J	`jnl`	Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association. CoRR Peisong Wen, Qianqian Xu, Yangbangyan Jiang, Zhiyong Yang, Yuan He, Qingming Huang
2021	J	`jnl`	Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction. IEEE Trans. Pattern Anal. Mach. Intell. Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang
2021	A*	`conf`	What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models. AAAI Yangbangyan Jiang, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao, Qingming Huang
2021	A*	`conf`	When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC. ICML Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang
2021	A*	`conf`	When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking. NeurIPS Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang
2020	J	`jnl`	Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction. CoRR Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang
2020	A*	`conf`	Task-distribution-aware Meta-learning for Cold-start CTR Prediction. ACM Multimedia Tianwei Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang
2020	A*	`conf`	Who Likes What? - SplitLBI in Exploring Preferential Diversity of Ratings. AAAI Qianqian Xu, Jiechao Xiong, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao
2019	A*	`conf`	Collaborative Preference Embedding against Sparse Labels. ACM Multimedia Shilong Bao, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao, Qingming Huang
2019	A*	`conf`	DM2C: Deep Mixed-Modal Clustering. NeurIPS Yangbangyan Jiang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
2019	A*	`conf`	Deep Robust Subjective Visual Property Prediction in Crowdsourcing. CVPR Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang, Yuan Yao
2019	J	`jnl`	Deep Robust Subjective Visual Property Prediction in Crowdsourcing. CoRR Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang, Yuan Yao
2019	A*	`conf`	Duet Robust Deep Subspace Clustering. ACM Multimedia Yangbangyan Jiang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
2019	A*	`conf`	Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer. NeurIPS Zhiyong Yang, Qianqian Xu, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang
2019	A*	`conf`	Learning Personalized Attribute Preference via Multi-Task AUC Optimization. AAAI Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang
2019	J	`jnl`	Learning Personalized Attribute Preference via Multi-task AUC Optimization. CoRR Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang
2019	A*	`conf`	Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin. AAAI Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao
2019	J	`jnl`	Split Multiplicative Multi-View Subspace Clustering. IEEE Trans. Image Process. Zhiyong Yang, Qianqian Xu, Weigang Zhang, Xiaochun Cao, Qingming Huang
2019	A*	`conf`	iSplit LBI: Individualized Partial Ranking with Ties via Split LBI. NeurIPS Qianqian Xu, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao
2019	J	`jnl`	iSplit LBI: Individualized Partial Ranking with Ties via Split LBI. CoRR Qianqian Xu, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao
2018	A*	`conf`	A Margin-based MLE for Crowdsourced Partial Ranking. ACM Multimedia Qianqian Xu, Jiechao Xiong, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao
2018	J	`jnl`	A Margin-based MLE for Crowdsourced Partial Ranking. CoRR Qianqian Xu, Jiechao Xiong, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao
2018	A*	`conf`	From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions. AAAI Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang
2018	J	`jnl`	Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin. CoRR Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao
2018	A*	`conf`	When to Learn What: Deep Cognitive Subspace Clustering. ACM Multimedia Yangbangyan Jiang, Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang
2017	J	`jnl`	From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions. CoRR Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang
2017	J	`jnl`	Optimizing area under the ROC curve via extreme learning machines. Knowl. Based Syst. Zhiyong Yang, Taohong Zhang, Jingcheng Lu, Dezheng Zhang, Dorothy Kalui
2016	—	`conf`	Extreme Large Margin Distribution Machine and its applications for biomedical datasets. BIBM Zhiyong Yang, Jingcheng Lu, Taohong Zhang