šŸ“ Biography

I am currently a second-year Ph.D. student at Department of Computer Science, The University of Hong Kong, supervised by Prof. Yizhou Yu (ACM/IEEE Fellow). Before that, I received my M.Eng degree from School of Information Science and Engineering, Lanzhou University. My research focuses on the intersection of computer vision and machine learning, particularly in developing vision foundation models.

šŸ”„ News

  • 2025.04: Ā šŸŽ‰ OverLoCK is selected for a CVPR Oral Paper (3.3% of the accepted papers).
  • 2025.03: Ā šŸŽ‰ One paper is accepted by IEEE TNNLS.
  • 2025.02: Ā šŸŽ‰ Two papers are accepted by CVPR 2025.
  • 2025.01: Ā šŸŽ‰ One paper is accepted by Neural Networks.
  • 2024.12: Ā šŸŽ‰ One paper is accepted by IEEE JBHI.
  • 2024.12: Ā šŸŽ‰ One paper is accepted by AAAI 2025.
  • 2024.09: Ā šŸŽ‰ I’m recognized as one of the NeurIPS 2024 Top Reviewers.
  • 2024.01: Ā šŸ‘Øā€šŸŽ“ I commenced my PhD studies at HKU.

šŸ“š Publications

šŸ“„ OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels
Meng Lou, Yizhou Yu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 - Oral (Top 3.3% of the accepted papers)
[Paper] [Code]

šŸ“„ SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation
Yunxiang Fu, Meng Lou, Yizhou Yu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
[Paper] [Code]

šŸ“„ SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer Networks
Meng Lou, Yunxiang Fu, Yizhou Yu
AAAI Conference on Artificial Intelligence (AAAI), 2025
[Paper] [Code]

šŸ“„ TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition
Meng Lou, Shu Zhang, Hong-Yu Zhou, Sibei Yang, Chuan Wu, Yizhou Yu
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2025
[Paper] [Code]

šŸ“„ SDR-Former: A Siamese Dual-Resolution Transformer for Liver Lesion Classification Using 3D Multi-Phase Imaging
Meng Lou, Hanning Ying, Xiaoqing Liu, Hong-Yu Zhou, Yuqin Zhang, Yizhou Yu
Neural Networks, 2025
[Paper] [Data]

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āš™ļø Work Experiences

  • 2022.07 - 2023.12 Researcher, AI Lab, Deepwise Healthcare.
  • 2021.07 - 2021.10 R&D Intern, Intelligent Creation, ByteDance.

šŸ„‡ Honors and Awards

  • 2024.10 NeurIPS 2024 Top Reviewers Award
  • 2022.06 Outstanding Graduates
  • 2021.10 National Scholarship
  • 2019.06 Outstanding Graduates
  • 2016-2018 National Encouragement Scholarship

šŸ” Academic Services

  • Conference Reviewer:

    ICCV 2025, NeurIPS 2025/2024, MICCAI 2025/2024, etc.

  • Journal Reviewer:

    TPAMI, TMLR, TNNLS, Knowledge-Based Systems, Medical Physics, etc.

šŸŒ Visitor Map