Hi, My name is Mouxing Yang (杨谋星). I’m a Ph.D. student from College of Computer Science, Sichuan Univerisity, advised by Prof.Xi Peng.

My research interests mainly focus on Multi-modal Learning and Multi-view Learning, especially the applications in the wild, e.g., missing modality and noisy correspondence.

🔥 News

• 2024.02:   One co-first-authored paper was accepted by IEEE Transactions on Image Processing (TIP).
• 2024.01:   One first-authored paper was accepted by International Conference on Learning Representations (ICLR 2024).
• 2024.01:   One first-authored paper was accepted by International Journal of Computer Vision (IJCV).
• 2023.12:   One paper was accepted by The AAAI Conference on Artificial Intelligence (AAAI 2024).
• 2023.11:   One paper was accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
• 2023.09:   One paper was accepted by Nature Communications.
• 2023.07:   One paper was accepted by International Conference on Computer Vision (ICCV 2023).
• 2023.04:   One paper was accepted by International Joint Conference on Artificial Intelligence (IJCAI 2023).
• 2022.06:   One paper was accepted by International Journal of Computer Vision (IJCV).
• 2022.03:   One first-authored paper was accepted by Computer Vision and Pattern Recognition (CVPR 2022).
• 2022.02:   One first-authored paper was accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
• 2021.03:   One first-authored paper was accepted by Computer Vision and Pattern Recognition (CVPR 2021).

📝 Selective Publications

CVPR 2022

Learning with Twin Noisy Labels for Visible-Infrared Person Re-Identification
Mouxing Yang, Zhenyu Huang, Peng Hu, Taihao Li, Jiancheng Lv, Xi Peng

Video | 中文简介 | Code

Reveal the twin noisy label problem (noisy annotation and the accompanying noisy correspondence).

TPAMI 2022

Robust Multi-view Clustering with Incomplete Information
Mouxing Yang, Yunfan Li, Peng Hu, Jinfeng Bai, Jiancheng Lv, Xi Peng

中文简介 | Code

The FIRST unified multi-view learning framework to solve both Partially View-unaligned Problem (PVP) and Partially Sample-missing Problem (PSP).

CVPR 2021

Partially View-aligned Representation Learning with Noise-robust Contrastive Loss
Mouxing Yang, Yunfan Li, Zhenyu Huang, Zitao Liu, Peng Hu, Xi Peng

Video | 中文简介 | Code

Design a false-negative (FN) robust contrastive loss and validate the loss in unsupervised multi-view clustering and classification tasks.

• ICCV 2023 Graph Matching with Bi-level Noisy Correspondence, Yijie Lin, Mouxing Yang, Jun Yu, Peng Hu, Changqing Zhang, Xi Peng

• IJCAI 2023 Incomplete Multi-view Clustering via Prototype-based Imputation, Haobin Li, Yunfan Li, Mouxing Yang, Peng Hu, Dezhong Peng, Xi Peng

• IJCV 2022 Twin Contrastive Learning for Online Clustering, Yunfan Li, Mouxing Yang, Dezhong Peng, Taihao Li, Jiantao Huang, Xi Peng

🎖 Honors and Awards

• 2023.10 PhD student Innovation Scholarship
• 2022.10 National Scholarship
• 2021.10 National Scholarship

🙋 Service

• Journal Reviewer: IEEE TPAMI, IEEE TCSVT, IEEE TSMC, etc.

• Conference Reviewer: ICLR, NeurIPS, ICML, CVPR, ICCV, AAAI, etc.