Yangbangyan Jiang

38 papers A* 18B 1Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
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
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`	Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection. CoRR Zhipeng Yu, Qianqian Xu, Yangbangyan Jiang, Yingfei Sun, Qingming Huang
2025	A*	`conf`	MGVC: MLLM-Guided Video Captioning for the IntentVC Challenge. ACM Multimedia Zhipeng Yu, Qianqian Xu, Yangbangyan Jiang, Pinci Yang, Qingming Huang
2025	—	`conf`	Pseudo-Partial Label Helps: A Simple Way to Mitigate Pseudo-Label Noise in Source-Free Domain Adaptation. MMAsia Yiran Zhang, Qianqian Xu, Yangbangyan Jiang, Qingming Huang
2024	A*	`conf`	ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection. AAAI Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, 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`	Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection. IEEE Trans. Image Process. Zhipeng Yu, Qianqian Xu, Yangbangyan Jiang, Yingfei Sun, Qingming Huang
2024	A*	`conf`	HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection. ACM Multimedia Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, Yuchen Sun, Qingming Huang
2024	J	`jnl`	HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection. CoRR Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, Yuchen Sun, Qingming Huang
2024	A*	`conf`	Regularized Contrastive Partial Multi-view Outlier Detection. ACM Multimedia Yijia Wang, Qianqian Xu, Yangbangyan Jiang, Siran Dai, Qingming Huang
2024	J	`jnl`	Regularized Contrastive Partial Multi-view Outlier Detection. CoRR Yijia Wang, Qianqian Xu, Yangbangyan Jiang, Siran Dai, Qingming Huang
2023	J	`jnl`	ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection. CoRR Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, 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	A*	`conf`	PSNEA: Pseudo-Siamese Network for Entity Alignment between Multi-modal Knowledge Graphs. ACM Multimedia Wenxin Ni, Qianqian Xu, Yangbangyan Jiang, Zongsheng Cao, 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
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	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`	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`	Pay Attention to Your Positive Pairs: Positive Pair Aware Contrastive Knowledge Distillation. ACM Multimedia Zhipeng Yu, Qianqian Xu, Yangbangyan Jiang, Haoyu Qin, 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	J	`jnl`	Neural Collaborative Preference Learning With Pairwise Comparisons. IEEE Trans. Multim. Zhaopeng Li, Qianqian Xu, Yangbangyan Jiang, Ke Ma, Xiaochun Cao, 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	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
2020	A*	`conf`	Quaternion-Based Knowledge Graph Network for Recommendation. ACM Multimedia Zhaopeng Li, Qianqian Xu, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang
2019	A*	`conf`	Adversarial Preference Learning with Pairwise Comparisons. ACM Multimedia Zitai Wang, Qianqian Xu, Ke Ma, Yangbangyan Jiang, 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
2018	—	`conf`	Active Sampling for Subjective Video Quality Assessment. BigMM Yangbangyan Jiang, Qianqian Xu, Weigang Zhang, Qingming Huang
2018	—	`conf`	Outfit Recommendation with Deep Sequence Learning. BigMM Yangbangyan Jiang, Qianqian Xu, 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
2018	B	`conf`	Who to Ask: An Intelligent Fashion Consultant. ICMR Yangbangyan Jiang, Qianqian Xu, Xiaochun Cao, Qingming Huang