Yimin Wang
Ph.D., Principal Investigator
Email: wangyimin@@gdiist.cn
Personal Profile
Yimin Wang is the Principal Investigator of the Lab of Computing and Visualization for Connectomics Data. He received B.S. degree from Fudan University in 2003 and Ph.D. degree from Nanyang Technological University in 2009, respectively. His research interests include visual computing and analysis of big data for brain science images, bioimage informatics, mixed reality, computer graphics, and artificial intelligence. He has been the Principal Investigator at Guangdong Institute of Intelligent Science and Technology since 2022. His research work is supported by several grants from National Natural Science Foundation of China and Natural Science Foundation of Shanghai. Recent results of the lab have been published in Nature, Nature Methods, Nature Communications, etc.
Laboratory of Computing and Visualization for Connectomics Data
Our lab is interested in a series of problems regarding the computational, visualization, and analysis of multi-scale multimodal data generated in the field of brain science. By developing new visualization, human-computer interaction, and artificial intelligence methods, we study brain science big data management, interactive neuronal structure annotation for whole brain images, automatic reconstruction of neuronal 3D morphology, representation and knowledge discovery of multimodal neural network data, and neural network structure prediction and generation. The goal is to provide effective technical support and key scientific discoveries for identifying neuronal types, resolving characteristics of neural circuits, establishing functional-structural correlations, and constructing and exploring connectome.
Representative publications
1. Zhang, Lingli, Lei Huang, Zexin Yuan, Yuning Hang, Ying Zeng, …, Yimin Wang*, Hanchuan Peng*. “Collaborative Augmented Reconstruction for Scaled Production of 3D Neuron Morphology in Mouse and Human Brains.” Nature Methods, 2024. (*, co-corresponding authors)
2. Jie Chen*, Zexin Yuan*, ..., and Yimin Wang. Efficient and Accurate Semi-automatic Neuron Tracing with Extended Reality, IEEE TVCG (ISAMR 2024 special issue). (* contributed equally)
3. Yang, Nianzu, Kaipeng Zeng, Haotian Lu, Yexin Wu, Zexin Yuan, Danni Chen, Shengdian Jiang, Jiaxiang Wu, Yimin Wang*, and Junchi Yan*. “MorphGrower: A Synchronized Layer-by-Layer Growing Approach for Plausible Neuronal Morphology Generation.” In Proceedings of the 41st International Conference on Machine Learning, 56749–92. PMLR, 2024. (*, co-corresponding authors)
4. Zhu, Xiaoqiang, Xiaomei Liu, Sihu Liu, Yalan Shen, Lihua You, and Yimin Wang*. “Robust Quasi-Uniform Surface Meshing of Neuronal Morphology Using Line Skeleton-Based Progressive Convolution Approximation.” Frontiers in Neuroinformatics 16 (2022). (*, corresponding author)
5. Jiang, Shengdian#, Yimin Wang#, Lijuan Liu#, Liya Ding, Zongcai Ruan, Hong-Wei Dong, Giorgio A. Ascoli, Michael Hawrylycz, Hongkui Zeng, and Hanchuan Peng. “Petabyte-Scale Multi-Morphometry of Single Neurons for Whole Brains.” Neuroinformatics 20, no. 2 (April 1, 2022): 525–36. (#, co-first authors)
6. Qu, Lei, Yuanyuan Li, Peng Xie, Lijuan Liu, Yimin Wang, Jun Wu, Yu Liu, et al. “Cross-Modal Coherent Registration of Whole Mouse Brains.” Nature Methods 19, no. 1 (January 2022): 111–18.
7. Peng, Hanchuan, Peng Xie, Lijuan Liu, Xiuli Kuang, Yimin Wang, Lei Qu, Hui Gong, et al. “Morphological Diversity of Single Neurons in Molecularly Defined Cell Types.” Nature 598, no. 7879 (October 2021): 174–81.
8. Muñoz-Castañeda, Rodrigo, Brian Zingg, Katherine S. Matho, Xiaoyin Chen, Quanxin Wang, Nicholas N. Foster, Anan Li, et al. “Cellular Anatomy of the Mouse Primary Motor Cortex.” Nature 598, no. 7879 (October 2021): 159–66.
9. BRAIN Initiative Cell Census Network (BICCN). “A Multimodal Cell Census and Atlas of the Mammalian Primary Motor Cortex.” Nature 598, no. 7879 (October 2021): 86–102.
10. Supple, Jack A., Daniel Pinto-Benito, Christopher Khoo, Trevor J. Wardill, Samuel T. Fabian, Molly Liu, Siddhant Pusdekar, et al. “Binocular Encoding in the Damselfly Pre-Motor Target Tracking System.” Current Biology 30, no. 4 (February 24, 2020): 645-656.e4. (selected as the cover article).
11. Yimin Wang*, Qi Li, Lijuan Liu, Zhi Zhou, Zongcai Ruan, Lingsheng Kong, Yaoyao Li, Yun Wang, Ning Zhong, Renjie Chai, Xiangfeng Luo, Yike Guo, Michael Hawrylycz, Qingming Luo, Zhongze Gu, Wei Xie, Hongkui Zeng, and Hanchuan Peng*. TeraVR Empowers Precise Reconstruction of Complete 3-D Neuronal Morphology in the Whole Brain.” Nature Communications 10, no. 1 (August 2, 2019): 3474. (*, co-corresponding authors)
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