Yiming Wang
Orcid: 0000-0002-8765-7640Affiliations:
- Beijing Jiaotong University, Institute of Information Science, Beijing Key Laboratory of Advanced Information Science and Network Technology, China
According to our database1,
Yiming Wang authored at least 31 papers
between 2021 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Tensorial Multi-View Clustering via Alternative Rank Minimization and Inter-View Alignment.
IEEE Trans. Knowl. Data Eng., May, 2026
IEEE Trans. Knowl. Data Eng., March, 2026
Deep Multi-View Clustering With Intra-View Similarity and Cross-View Correlation Learning.
IEEE Trans. Multim., 2026
Neurocomputing, 2026
2025
ACM Trans. Multim. Comput. Commun. Appl., January, 2025
A Category-Driven Contrastive Recovery Network for Double Incomplete Multi-View Multi-Label Classification.
IEEE Trans. Multim., 2025
IEEE Trans. Multim., 2025
Pattern Recognit., 2025
Sci. China Inf. Sci., 2025
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
MCLiD: Multi-Target and Container-Independent Liquid Sensing via mmWave and Camera Fusion.
Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025
2024
Partially View-Aligned Representation Learning via Cross-View Graph Contrastive Network.
IEEE Trans. Circuits Syst. Video Technol., August, 2024
IEEE Trans. Neural Networks Learn. Syst., May, 2024
One for all: A novel Dual-space Co-training baseline for Large-scale Multi-View Clustering.
CoRR, 2024
2023
IEEE Trans. Cybern., November, 2023
Pattern Recognit., May, 2023
Projection-preserving block-diagonal low-rank representation for subspace clustering.
Neurocomputing, March, 2023
IEEE Trans. Multim., 2023
IEEE Trans. Circuits Syst. Video Technol., 2023
2022
Cross-view Graph Contrastive Representation Learning on Partially Aligned Multi-view Data.
CoRR, 2022
ACTIVE: Augmentation-Free Graph Contrastive Learning for Partial Multi-View Clustering.
CoRR, 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
2021
A hierarchical weighted low-rank representation for image clustering and classification.
Pattern Recognit., 2021
A new blind image denoising method based on asymmetric generative adversarial network.
IET Image Process., 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021