Peisong Wen - RankMe

39 papers A* 15Journal 24

Year	Rank	Type	Title / Venue / Authors
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`	From Static to Dynamic: Exploring Self-supervised Image-to-Video Representation Transfer Learning. CoRR Yang Liu, Qianqian Xu, Peisong Wen, Siran Dai, Xilin Zhao, Qingming Huang
2026	A*	`conf`	HiGFA: Hierarchical Guidance for Fine-grained Data Augmentation with Diffusion Models. AAAI Zhiguang Lu, Qianqian Xu, Peisong Wen, Siran Dai, Qingming Huang
2026	J	`jnl`	Semantic Concentration for Self-Supervised Dense Representations Learning. IEEE Trans. Pattern Anal. Mach. Intell. Peisong Wen, Qianqian Xu, Siran Dai, Runmin Cong, 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	J	`jnl`	Bootstrapping Physics-Grounded Video Generation through VLM-Guided Iterative Self-Refinement. CoRR Yang Liu, Xilin Zhao, Peisong Wen, Siran Dai, Qingming Huang
2025	J	`jnl`	Exploring Non-contrastive Self-supervised Representation Learning for Image-based Profiling. CoRR Siran Dai, Qianqian Xu, Peisong Wen, Yang Liu, Qingming Huang
2025	J	`jnl`	Exploring Structural Degradation in Dense Representations for Self-supervised Learning. CoRR Siran Dai, Qianqian Xu, Peisong Wen, Yang Liu, Qingming Huang
2025	J	`jnl`	HiGFA: Hierarchical Guidance for Fine-grained Data Augmentation with Diffusion Models. CoRR Zhiguang Lu, Qianqian Xu, Peisong Wen, Siran Dai, Qingming Huang
2025	J	`jnl`	Learn Faster and Remember More: Balancing Exploration and Exploitation for Continual Test-time Adaptation. CoRR Pinci Yang, Peisong Wen, Ke Ma, Qianqian Xu
2025	J	`jnl`	Semantic Concentration for Self-Supervised Dense Representations Learning. CoRR Peisong Wen, Qianqian Xu, Siran Dai, Runmin Cong, 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`	TuckA: Hierarchical Compact Tensor Experts for Efficient Fine-Tuning. CoRR Qifeng Lei, Zhiyong Yang, Qianqian Xu, Cong Hua, Peisong Wen, Qingming Huang
2025	A*	`conf`	When the Future Becomes the Past: Taming Temporal Correspondence for Self-supervised Video Representation Learning. CVPR Yang Liu, Qianqian Xu, Peisong Wen, Siran Dai, Qingming Huang
2025	J	`jnl`	When the Future Becomes the Past: Taming Temporal Correspondence for Self-supervised Video Representation Learning. CoRR Yang Liu, Qianqian Xu, Peisong Wen, Siran Dai, 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	A*	`conf`	Not All Pairs are Equal: Hierarchical Learning for Average-Precision-Oriented Video Retrieval. ACM Multimedia Yang Liu, Qianqian Xu, Peisong Wen, Siran Dai, Qingming Huang
2024	J	`jnl`	Not All Pairs are Equal: Hierarchical Learning for Average-Precision-Oriented Video Retrieval. CoRR Yang Liu, Qianqian Xu, Peisong Wen, Siran Dai, 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	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`	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`	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	A*	`conf`	Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCµ. AAAI Peifeng Gao, Qianqian Xu, Peisong Wen, Huiyang Shao, Yuan He, 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`	Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective. CVPR Yunrui Zhao, Qianqian Xu, Yangbangyan Jiang, Peisong Wen, Qingming Huang
2022	J	`jnl`	Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective. CoRR Yunrui Zhao, Qianqian Xu, Yangbangyan Jiang, Peisong Wen, 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	J	`jnl`	Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Yun Liu, Yu-Huan Wu, Peisong Wen, Yujun Shi, Yu Qiu, Ming-Ming Cheng
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	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	A*	`conf`	DMVOS: Discriminative Matching for Real-time Video Object Segmentation. ACM Multimedia Peisong Wen, Ruolin Yang, Qianqian Xu, Chen Qian, Qingming Huang, Runmin Cong, Jianlou Si