Outfit Recommendation with Deep Sequence Learning. - Yangbangyan Jiang; Qianqian Xu; Xiaochun Cao (BigMM, 2018)

Active Sampling for Subjective Video Quality Assessment. - Yangbangyan Jiang; Qianqian Xu; Weigang Zhang; Qingming Huang (BigMM, 2018)

Who to Ask: An Intelligent Fashion Consultant. - Yangbangyan Jiang; Qianqian Xu; Xiaochun Cao; Qingming Huang (ICMR, 2018)

When to Learn What: Deep Cognitive Subspace Clustering. - Yangbangyan Jiang; Zhiyong Yang 001; Qianqian Xu; Xiaochun Cao; Qingming Huang (ACM Multimedia, 2018)

Deep Robust Subjective Visual Property Prediction in Crowdsourcing. - Qianqian Xu; Zhiyong Yang 001; Yangbangyan Jiang; Xiaochun Cao; Qingming Huang; Yuan Yao 011 (CVPR, 2019)

Duet Robust Deep Subspace Clustering. - Yangbangyan Jiang; Qianqian Xu; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (ACM Multimedia, 2019)

Adversarial Preference Learning with Pairwise Comparisons. - Zitai Wang; Qianqian Xu; Ke Ma 001; Yangbangyan Jiang; Xiaochun Cao; Qingming Huang (ACM Multimedia, 2019)

DM2C: Deep Mixed-Modal Clustering. - Yangbangyan Jiang; Qianqian Xu; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (NeurIPS, 2019)

Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer. - Zhiyong Yang 001; Qianqian Xu; Yangbangyan Jiang; Xiaochun Cao; Qingming Huang (NeurIPS, 2019)

Quaternion-Based Knowledge Graph Network for Recommendation. - Zhaopeng Li; Qianqian Xu; Yangbangyan Jiang; Xiaochun Cao; Qingming Huang (ACM Multimedia, 2020)

What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models. - Yangbangyan Jiang; Qianqian Xu; Ke Ma 001; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (AAAI, 2021)

Deep Partial Rank Aggregation for Personalized Attributes. - Qianqian Xu; Zhiyong Yang 001; Zuyao Chen; Yangbangyan Jiang; Xiaochun Cao; Yuan Yao 011; Qingming Huang (AAAI, 2021)

Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association. - Peisong Wen; Qianqian Xu; Yangbangyan Jiang; Zhiyong Yang 001; Yuan He 011; Qingming Huang (CVPR, 2021)

Neural Collaborative Preference Learning With Pairwise Comparisons. - Zhaopeng Li; Qianqian Xu; Yangbangyan Jiang; Ke Ma 001; Xiaochun Cao; Qingming Huang (IEEE Trans. Multim., 2021)

Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective. - Yunrui Zhao; Qianqian Xu; Yangbangyan Jiang; Peisong Wen; Qingming Huang (CVPR, 2022)

Pay Attention to Your Positive Pairs: Positive Pair Aware Contrastive Knowledge Distillation. - Zhipeng Yu; Qianqian Xu; Yangbangyan Jiang; Haoyu Qin; Qingming Huang (ACM Multimedia, 2022)

Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction. - Qianqian Xu; Zhiyong Yang 001; Yangbangyan Jiang; Xiaochun Cao; Yuan Yao 011; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

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 Multimedia, 2023)

MaxMatch: Semi-Supervised Learning With Worst-Case Consistency. - Yangbangyan Jiang; Xiaodan Li; Yuefeng Chen; Yuan He 011; Qianqian Xu; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Positive-Unlabeled Learning With Label Distribution Alignment. - Yangbangyan Jiang; Qianqian Xu; Yunrui Zhao; Zhiyong Yang 001; Peisong Wen; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection. - Junwei He 003; Qianqian Xu; Yangbangyan Jiang; Zitai Wang; Qingming Huang (AAAI, 2024)

HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection. - Junwei He 003; Qianqian Xu; Yangbangyan Jiang; Zitai Wang; Yuchen Sun; Qingming Huang (ACM Multimedia, 2024)

Regularized Contrastive Partial Multi-view Outlier Detection. - Yijia Wang; Qianqian Xu; Yangbangyan Jiang; Siran Dai; Qingming Huang (ACM Multimedia, 2024)

AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation. - Boyu Han; Qianqian Xu; Zhiyong Yang 001; Shilong Bao; Peisong Wen; Yangbangyan Jiang; Qingming Huang (NeurIPS, 2024)

Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection. - Zhipeng Yu; Qianqian Xu; Yangbangyan Jiang; Yingfei Sun; Qingming Huang (IEEE Trans. Image Process., 2024)