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Yangbangyan Jiang
Yangbangyan Jiang
Other names姜阳邦彦
Verified email at ucas.ac.cn - Homepage
Title
Cited by
Cited by
Year
Dist-PU: Positive-Unlabeled Learning From a Label Distribution Perspective
Y Zhao, Q Xu, Y Jiang, P Wen, Q Huang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
842022
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection
J He, Q Xu, Y Jiang, Z Wang, Q Huang
Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 8481-8489, 2024
702024
Dm2c: Deep mixed-modal clustering
Y Jiang, Q Xu, Z Yang, X Cao, Q Huang
Advances in Neural Information Processing Systems, 5880-5890, 2019
552019
Seeking the shape of sound: An adaptive framework for learning voice-face association
P Wen, Q Xu, Y Jiang, Z Yang, Y He, Q Huang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
502021
When to learn what: Deep cognitive subspace clustering
Y Jiang, Z Yang, Q Xu, X Cao, Q Huang
Proceedings of the 26th ACM international conference on Multimedia, 718-726, 2018
432018
Quaternion-Based Knowledge Graph Network for Recommendation
Z Li, Q Xu, Y Jiang, X Cao, Q Huang
Proceedings of the 28th ACM International Conference on Multimedia, 880-888, 2020
402020
Maxmatch: Semi-supervised learning with worst-case consistency
Y Jiang, X Li, Y Chen, Y He, Q Xu, Z Yang, X Cao, Q Huang
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 5970-5987, 2022
352022
Positive-unlabeled learning with label distribution alignment
Y Jiang, Q Xu, Y Zhao, Z Yang, P Wen, X Cao, Q Huang
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (12 …, 2023
302023
PSNEA: Pseudo-Siamese Network for Entity Alignment between Multi-modal Knowledge Graphs
W Ni, Q Xu, Y Jiang, Z Cao, X Cao, Q Huang
Proceedings of the 31st ACM International Conference on Multimedia, 3489-3497, 2023
242023
Adversarial Preference Learning with Pairwise Comparisons
Z Wang, Q Xu, K Ma, Y Jiang, X Cao, Q Huang
Proceedings of the 27th ACM International Conference on Multimedia, 656-664, 2019
212019
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation
B Han, Q Xu, Z Yang, S Bao, P Wen, Y Jiang, Q Huang
Advances in Neural Information Processing Systems 37, 126863-126907, 2025
192025
Duet Robust Deep Subspace Clustering
Y Jiang, Q Xu, Z Yang, X Cao, Q Huang
Proceedings of the 27th ACM International Conference on Multimedia, 1596-1604, 2019
152019
Pay Attention to Your Positive Pairs: Positive Pair Aware Contrastive Knowledge Distillation
Z Yu, Q Xu, Y Jiang, H Qin, Q Huang
Proceedings of the 30th ACM International Conference on Multimedia, 5862-5870, 2022
122022
What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models
Y Jiang, Q Xu, K Ma, Z Yang, X Cao, Q Huang
Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 1708-1716, 2021
122021
Not all samples are trustworthy: Towards deep robust svp prediction
Q Xu, Z Yang, Y Jiang, X Cao, Y Yao, Q Huang
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (6), 3154-3169, 2020
92020
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer
Z Yang, Q Xu, Y Jiang, X Cao, Q Huang
Advances in Neural Information Processing Systems, 5854-5865, 2019
92019
Deep Partial Rank Aggregation for Personalized Attributes
Q Xu, Z Yang, Z Chen, Y Jiang, X Cao, Y Yao, Q Huang
Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 678-688, 2021
72021
Deep robust subjective visual property prediction in crowdsourcing
Q Xu, Z Yang, Y Jiang, X Cao, Q Huang, Y Yao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
72019
HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection
H Junwei, Q Xu, Y Jiang, Z Wang, Y Sun, Q Huang
Proceedings of the 32nd ACM International Conference on Multimedia, 1544-1553, 2024
52024
Neural Collaborative Preference Learning With Pairwise Comparisons
Z Li, Q Xu, Y Jiang, K Ma, X Cao, Q Huang
IEEE Transactions on Multimedia 23, 1977-1989, 2020
52020
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