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Journal Articles
- 2024
[j5]Zhipeng Yu
, Qianqian Xu, Yangbangyan Jiang, Yingfei Sun, Qingming Huang:
Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection. IEEE Trans. Image Process. 33: 6083-6097 (2024)- 2023
- [j4]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): 5970-5987 (2023) - [j3]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): 15345-15363 (2023) - 2022
- [j2]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): 3154-3169 (2022) - 2021
- [j1]Zhaopeng Li, Qianqian Xu, Yangbangyan Jiang, Ke Ma, Xiaochun Cao, Qingming Huang:
Neural Collaborative Preference Learning With Pairwise Comparisons. IEEE Trans. Multim. 23: 1977-1989 (2021)
Conference and Workshop Papers
- 2024
- [c19]Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, Qingming Huang:
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection. AAAI 2024: 8481-8489 - [c18]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. ACM Multimedia 2024: 1544-1553 - [c17]Yijia Wang, Qianqian Xu, Yangbangyan Jiang, Siran Dai, Qingming Huang:
Regularized Contrastive Partial Multi-view Outlier Detection. ACM Multimedia 2024: 8711-8720 - 2023
- [c16]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: 3489-3497 - 2022
- [c15]Yunrui Zhao, Qianqian Xu, Yangbangyan Jiang, Peisong Wen, Qingming Huang:
Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective. CVPR 2022: 14441-14450 - [c14]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: 5862-5870 - 2021
- [c13]Qianqian Xu, Zhiyong Yang, Zuyao Chen, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming Huang:
Deep Partial Rank Aggregation for Personalized Attributes. AAAI 2021: 678-688 - [c12]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: 1708-1716 - [c11]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: 16347-16356 - 2020
- [c10]Zhaopeng Li, Qianqian Xu, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang:
Quaternion-Based Knowledge Graph Network for Recommendation. ACM Multimedia 2020: 880-888 - 2019
- [c9]Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang, Yuan Yao:
Deep Robust Subjective Visual Property Prediction in Crowdsourcing. CVPR 2019: 8993-9001 - [c8]Zitai Wang, Qianqian Xu, Ke Ma, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang:
Adversarial Preference Learning with Pairwise Comparisons. ACM Multimedia 2019: 656-664 - [c7]Yangbangyan Jiang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
Duet Robust Deep Subspace Clustering. ACM Multimedia 2019: 1596-1604 - [c6]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: 5846-5857 - [c5]Yangbangyan Jiang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
DM2C: Deep Mixed-Modal Clustering. NeurIPS 2019: 5880-5890 - 2018
- [c4]Yangbangyan Jiang, Qianqian Xu, Xiaochun Cao:
Outfit Recommendation with Deep Sequence Learning. BigMM 2018: 1-5 - [c3]Yangbangyan Jiang, Qianqian Xu, Weigang Zhang, Qingming Huang:
Active Sampling for Subjective Video Quality Assessment. BigMM 2018: 1-5 - [c2]Yangbangyan Jiang, Qianqian Xu, Xiaochun Cao, Qingming Huang:
Who to Ask: An Intelligent Fashion Consultant. ICMR 2018: 525-528 - [c1]Yangbangyan Jiang, Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang:
When to Learn What: Deep Cognitive Subspace Clustering. ACM Multimedia 2018: 718-726
Informal and Other Publications
- 2024
- [i8]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 abs/2407.21742 (2024) - [i7]Yijia Wang, Qianqian Xu, Yangbangyan Jiang, Siran Dai, Qingming Huang:
Regularized Contrastive Partial Multi-view Outlier Detection. CoRR abs/2408.07819 (2024) - [i6]Boyu Han, Qianqian Xu, Zhiyong Yang, Shilong Bao, Peisong Wen, Yangbangyan Jiang, Qingming Huang:
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation. CoRR abs/2409.20398 (2024) - 2023
- [i5]Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, Qingming Huang:
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection. CoRR abs/2312.14535 (2023) - 2022
- [i4]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 abs/2209.12611 (2022) - [i3]Yunrui Zhao, Qianqian Xu, Yangbangyan Jiang, Peisong Wen, Qingming Huang:
Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective. CoRR abs/2212.02801 (2022) - 2021
- [i2]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 abs/2103.07293 (2021) - 2019
- [i1]Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang, Yuan Yao:
Deep Robust Subjective Visual Property Prediction in Crowdsourcing. CoRR abs/1903.03956 (2019)
Coauthor Index
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