Publications

2023

• Positive-Unlabeled Learning with Label Distribution Alignment
  Yangbangyan Jiang, Qianqian Xu, Yunrui Zhao, Zhiyong Yang, Peisong Wen, Xiaochun Cao and Qingming Huang
  IEEE TPAMI 2022 (CCF-A, Regular paper, Early access)
• PSNEA: Pseudo-Siamese Network for Entity Alignment between Multi-modal Knowledge Graphs
  Wenxin Ni, Qianqian Xu, Yangbangyan Jiang, Zongsheng Cao, Xiaochun Cao, Qingming Huang
  ACM MM 2023 (CCF-A, Full paper, Accepted)

2022

• MaxMatch: Semi-Supervised Learning with Worst-Case Consistency
  Yangbangyan Jiang, Xiaodan Li, Yuefeng Chen, Yuan He, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
  IEEE TPAMI 2022 (CCF-A, Regular paper) [pdf] [code]
• Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction
  Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao and Qingming Huang
  IEEE TPAMI 2022 (CCF-A, Regular paper) [pdf] [code]
• Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective
  Yunrui Zhao, Qianqian Xu, Yangbangyan Jiang, Peisong Wen and Qingming Huang
  CVPR 2022 (CCF-A) [pdf] [supp] [code]
• Pay Attention to Your Positive Pairs: Positive Pair Aware Contrastive Knowledge Distillation
  Zhipeng Yu, Qianqian Xu, Yangbangyan Jiang, Haoyu Qin and Qingming Huang
  ACM MM 2022 (CCF-A, Full paper) [pdf] [code]

2021

• What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models
  Yangbangyan Jiang, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao and Qingming Huang
  AAAI 2021 (CCF-A) [pdf] [code] [supp]
• Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association
  Peisong Wen, Qianqian Xu, Yangbangyan Jiang, Zhiyong Yang, Yuan He and Qingming Huang
  CVPR 2021 (CCF-A) [pdf] [code]
• Deep Partial Rank Aggregation for Personalized Attributes
  Qianqian Xu, Zhiyong Yang, Zuyao Chen, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao and Qingming Huang
  AAAI 2021 (CCF-A) [pdf] [code]

2020

• Quaternion-Based Knowledge Graph Network for Recommendation
  Zhaopeng Li, Qianqian Xu, Yangbangyan Jiang, Xiaochun Cao and Qingming Huang
  ACM MM 2020 (CCF-A, Oral)
• Neural Collaborative Preference Learning with Pairwise Comparisons
  Zhaopeng Li, Qianqian Xu, Yangbangyan Jiang, Ke Ma, Xiaochun Cao and Qingming Huang
  IEEE TMM 2020 (CCF-B, Regular paper)

2019

• DM2C: Deep Mixed-Modal Clustering
  Yangbangyan Jiang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao and Qingming Huang
  NeurIPS 2019 (CCF-A, Spotlight, Acceptance Rate = 2.4%) [code] [poster] [slides]
• Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer
  Zhiyong Yang, Qianqian Xu, Yangbangyan Jiang, Xiaochun Cao and Qingming Huang
  NeurIPS 2019 (CCF-A, Poster)
• Deep Robust Subjective Visual Property Prediction in Crowdsourcing
  Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang and Yuan Yao
  CVPR 2019 (CCF-A, Poster) [pdf] [code]
• Duet Robust Deep Subspace Clustering
  Yangbangyan Jiang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao and Qingming Huang
  ACM MM 2019 (CCF-A, Full paper) [pdf] [code]
• Adversarial Preference Learning with Pairwise Comparisons
  Zitai Wang, Qianqian Xu, Ke Ma, Yangbangyan Jiang, Xiaochun Cao and Qingming Huang
  ACM MM 2019 (CCF-A, Oral) [pdf] [code]

2018

• When to Learn What: Deep Cognitive Subspace Clustering
  Yangbangyan Jiang, Zhiyong Yang, Qianqian Xu, Xiaochun Cao and Qingming Huang
  ACM MM 2018 (CCF-A, Full paper) [pdf] [code]
• Who to Ask: An Intelligent Fashion Consultant
  Yangbangyan Jiang, Qianqian Xu, Xiaochun Cao and Qingming Huang
  ICMR 2018 (CCF-B, Demo paper, Best demo runner-up)