Ma Lei (马雷)

Ph.D., Associate Research Professor

PI, National Biomedical Imaging Center, Peking University

Director of Platform Ⅳ, National Multimode Trans-scale Biomedical Imaging Facility

Director of Life Simulation Research Center, Beijing Academy of Artificial Intelligence

From 2003 to 2007, I pursued my Bachelor‘s Degree in Software Engineering at Zhejiang University. From 2007 to 2010, I completed my Master's Degree in Computer Application Technology at Shanghai Jiao Tong University. Subsequently, from 2013 to 2019, I engaged in doctoral studies at the Institute of Software, Chinese Academy of Sciences, specializing in Computer Application Technology. I worked as a Senior Engineer at the Autodesk China Research and Development Center from 2010 to 2012. Then, from 2012 to 2013, I held the positions of Research and Development Director and Chief Technology Officer at VISTANDARD Co., Ltd., Shanghai Branch. From 2019 to 2022, I worked as an Associate Researcher at Peking University's School of Computer Science.

I have long been dedicated to research in the fields of neuro-AI, computer graphics and image processing. Over the past five years, I made valuable academic contributions and innovative achievements in fundamental algorithms, applied research, and platform development. These efforts have generated substantial scientific value and economic benefits. I have published a total of 41 academic papers in prestigious journals and conferences within their research domains, such as IEEE TPAMI, IEEE TIP, Neural Networks, ACM TOG, IEEE TVCG, and CVPR. Furthermore, I have applied for a total of 15 invention patents, 8 patents have been granted, and obtained 2 software copyrights.

1. Wang, Z., Yu, J., Zhai, M. et al. System-level time computation and representation in the suprachiasmatic nucleus revealed by large-scale calcium imaging and machine learning. Cell Res 34, 493–503 (2024) Cell Research Cover Story

2. Zhang, Yichen, et al. "A GPU-based computational framework that bridges Neuron simulation and Artificial Intelligence." Nature Communications 14.1 (2023): 5798.

3. Embedded Prompt Tuning: Towards Enhanced Calibration of Pretrained Models for Medical Images. Medical Image Analysis, 2024

4. Huang, Keke, et al. "Structure inference of networked system with the synergy of deep residual network and fully connected layer network." Neural Networks 145 (2022): 288-299.

5. Zhao, Mingyang, et al. "Graphreg: Dynamical point cloud registration with geometry-aware graph signal processing." IEEE Transactions on Image Processing 31 (2022): 7449-7464.