Yangbangyan Jiang

Orcid: 0000-0002-0148-8306

According to our database1, Yangbangyan Jiang authored at least 25 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection.
IEEE Trans. Image Process., 2024

AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation.
CoRR, 2024

Regularized Contrastive Partial Multi-view Outlier Detection.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Positive-Unlabeled Learning With Label Distribution Alignment.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

MaxMatch: Semi-Supervised Learning With Worst-Case Consistency.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

PSNEA: Pseudo-Siamese Network for Entity Alignment between Multi-modal Knowledge Graphs.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022
Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Pay Attention to Your Positive Pairs: Positive Pair Aware Contrastive Knowledge Distillation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Neural Collaborative Preference Learning With Pairwise Comparisons.
IEEE Trans. Multim., 2021

Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Deep Partial Rank Aggregation for Personalized Attributes.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Quaternion-Based Knowledge Graph Network for Recommendation.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

DM2C: Deep Mixed-Modal Clustering.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Adversarial Preference Learning with Pairwise Comparisons.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Duet Robust Deep Subspace Clustering.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Deep Robust Subjective Visual Property Prediction in Crowdsourcing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
When to Learn What: Deep Cognitive Subspace Clustering.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Who to Ask: An Intelligent Fashion Consultant.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Active Sampling for Subjective Video Quality Assessment.
Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018

Outfit Recommendation with Deep Sequence Learning.
Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018


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