Yangbangyan Jiang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 27

Top Topics

Geometric Models

Pairwise Comparison

Preference Learning

Quality Assessment

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, Yuchen Sun, Qingming Huang
HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection. CoRR (2024)
Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, Qingming Huang
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection. AAAI (2024)
Yangbangyan Jiang, Qianqian Xu, Yunrui Zhao, Zhiyong Yang, Peisong Wen, Xiaochun Cao, Qingming Huang
Positive-Unlabeled Learning With Label Distribution Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, Qingming Huang
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection. CoRR (2023)
Wenxin Ni, Qianqian Xu, Yangbangyan Jiang, Zongsheng Cao, Xiaochun Cao, Qingming Huang
PSNEA: Pseudo-Siamese Network for Entity Alignment between Multi-modal Knowledge Graphs. ACM Multimedia (2023)
Yangbangyan Jiang, Xiaodan Li, Yuefeng Chen, Yuan He, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
MaxMatch: Semi-Supervised Learning With Worst-Case Consistency. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Yunrui Zhao, Qianqian Xu, Yangbangyan Jiang, Peisong Wen, Qingming Huang
Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective. CoRR (2022)
Yunrui Zhao, Qianqian Xu, Yangbangyan Jiang, Peisong Wen, Qingming Huang
Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective. CVPR (2022)
Zhipeng Yu, Qianqian Xu, Yangbangyan Jiang, Haoyu Qin, Qingming Huang
Pay Attention to Your Positive Pairs: Positive Pair Aware Contrastive Knowledge Distillation. ACM Multimedia (2022)
Yangbangyan Jiang, Xiaodan Li, Yuefeng Chen, Yuan He, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
MaxMatch: Semi-Supervised Learning with Worst-Case Consistency. CoRR (2022)
Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming Huang
Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 44 (6) (2022)
Qianqian Xu, Zhiyong Yang, Zuyao Chen, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming Huang
Deep Partial Rank Aggregation for Personalized Attributes. AAAI (2021)
Peisong Wen, Qianqian Xu, Yangbangyan Jiang, Zhiyong Yang, Yuan He, Qingming Huang
Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association. CVPR (2021)
Peisong Wen, Qianqian Xu, Yangbangyan Jiang, Zhiyong Yang, Yuan He, Qingming Huang
Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association. CoRR (2021)
Zhaopeng Li, Qianqian Xu, Yangbangyan Jiang, Ke Ma, Xiaochun Cao, Qingming Huang
Neural Collaborative Preference Learning With Pairwise Comparisons. IEEE Trans. Multim. 23 (2021)
Yangbangyan Jiang, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao, Qingming Huang
What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models. AAAI (2021)
Zhaopeng Li, Qianqian Xu, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang
Quaternion-Based Knowledge Graph Network for Recommendation. ACM Multimedia (2020)
Zitai Wang, Qianqian Xu, Ke Ma, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang
Adversarial Preference Learning with Pairwise Comparisons. ACM Multimedia (2019)
Yangbangyan Jiang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
DM2C: Deep Mixed-Modal Clustering. NeurIPS (2019)
Zhiyong Yang, Qianqian Xu, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer. NeurIPS (2019)
Yangbangyan Jiang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
Duet Robust Deep Subspace Clustering. ACM Multimedia (2019)
Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang, Yuan Yao
Deep Robust Subjective Visual Property Prediction in Crowdsourcing. CVPR (2019)
Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang, Yuan Yao
Deep Robust Subjective Visual Property Prediction in Crowdsourcing. CoRR (2019)
Yangbangyan Jiang, Qianqian Xu, Xiaochun Cao, Qingming Huang
Who to Ask: An Intelligent Fashion Consultant. ICMR (2018)
Yangbangyan Jiang, Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang
When to Learn What: Deep Cognitive Subspace Clustering. ACM Multimedia (2018)
Yangbangyan Jiang, Qianqian Xu, Weigang Zhang, Qingming Huang
Active Sampling for Subjective Video Quality Assessment. BigMM (2018)
Yangbangyan Jiang, Qianqian Xu, Xiaochun Cao
Outfit Recommendation with Deep Sequence Learning. BigMM (2018)