王宜敏
博士，研究員，研究組組長
Email: ywang@@www.plm-bat.com
個人簡介：
王宜敏，研究員，神經(jīng)網(wǎng)絡(luò)數(shù)據(jù)計算與可視化研究組組長。2003年于復(fù)旦大學(xué)取得學(xué)士學(xué)位，2009年于新加坡南洋理工大學(xué)取得博士學(xué)位。研究方向包括腦科學(xué)圖像大數(shù)據(jù)可視計算與分析、生物圖像信息學(xué)、混合現(xiàn)實、計算機圖形學(xué)、人工智能等。2022年起任廣東省智能科學(xué)和技術(shù)研究院研究員和研究組長。主持國家自然科學(xué)基金委基金2項，上海市科委自然科學(xué)基金等項目多項。研究成果發(fā)表于 Nature，Nature Methods，Nature Communications 等雜志。
神經(jīng)網(wǎng)絡(luò)數(shù)據(jù)計算與可視化研究組：
本課題組圍繞腦科學(xué)領(lǐng)域中產(chǎn)生的多尺度多模態(tài)數(shù)據(jù)開展一系列的計算、可視化和分析研究。基于發(fā)展新的可視化、人機交互和人工智能等方法，研究腦科學(xué)大數(shù)據(jù)管理、面向全腦圖像的交互式神經(jīng)元結(jié)構(gòu)標(biāo)注、神經(jīng)元三維形態(tài)自動重建、多模態(tài)神經(jīng)網(wǎng)絡(luò)數(shù)據(jù)的表示與知識發(fā)現(xiàn)、神經(jīng)網(wǎng)絡(luò)結(jié)構(gòu)預(yù)測與生成等問題。目標(biāo)為鑒定神經(jīng)元類型、解析神經(jīng)環(huán)路特征、建立功能與結(jié)構(gòu)的關(guān)聯(lián)、構(gòu)建和探索腦連接圖譜提供有效的技術(shù)支撐和關(guān)鍵的科學(xué)發(fā)現(xiàn)。
課題組長期招收博士生。目前組內(nèi)博士生由澳門大學(xué)、香港理工大學(xué)、北京師范大學(xué)等高校聯(lián)合培養(yǎng)。此外，課題組也長期招收博士后、實習(xí)生等人員。
歡迎有意向者提前郵件聯(lián)系（ywang@www.plm-bat.com）并提供簡歷。
代表論著：
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. Mu?oz-Casta?eda, 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)
