Mouxing Yang

According to our database, Mouxing Yang authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Semantic Invariant Multi-View Clustering With Fully Incomplete Information.

Pengxin Zeng, Mouxing Yang, Yiding Lu, Changqing Zhang, Peng Hu, Xi Peng

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Cross-Modal Retrieval With Noisy Correspondence via Consistency Refining and Mining.

Xinran Ma, Mouxing Yang, Yunfan Li, Peng Hu, Jiancheng Lv, Xi Peng

IEEE Trans. Image Process., 2024

An Empirical Study of Parameter Efficient Fine-tuning on Vision-Language Pre-train Model.

Yuxin Tian, Mouxing Yang, Yunfan Li, Dayiheng Liu, Xingzhang Ren, Xi Peng, Jiancheng Lv

CoRR, 2024

Decoupled Contrastive Multi-View Clustering with High-Order Random Walks.

Yiding Lu, Yijie Lin, Mouxing Yang, Dezhong Peng, Peng Hu, Xi Peng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Robust Multi-View Clustering With Incomplete Information.

Mouxing Yang, Yunfan Li, Peng Hu, Jinfeng Bai, Jiancheng Lv, Xi Peng

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Incomplete Multi-view Clustering via Prototype-based Imputation.

Haobin Li, Yunfan Li, Mouxing Yang, Peng Hu, Dezhong Peng, Xi Peng

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Graph Matching with Bi-level Noisy Correspondence.

Yijie Lin, Mouxing Yang, Jun Yu, Peng Hu, Changqing Zhang, Xi Peng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Twin Contrastive Learning for Online Clustering.

Yunfan Li, Mouxing Yang, Dezhong Peng, Taihao Li, Jiantao Huang, Xi Peng

Int. J. Comput. Vis., 2022

Learning with Twin Noisy Labels for Visible-Infrared Person Re-Identification.

Mouxing Yang, Zhenyu Huang, Peng Hu, Taihao Li, Jiancheng Lv, Xi Peng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Partially View-Aligned Representation Learning With Noise-Robust Contrastive Loss.

Mouxing Yang, Yunfan Li, Zhenyu Huang, Zitao Liu, Peng Hu, Xi Peng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021