李安安，海南大学生物医学工程学院教授，博士生导师，国家级高层次青年人才。现任海南省脑空间信息学与脑机接口技术创新中心副主任，华中科技大学苏州脑空间信息研究院副院长。毕业于华中科技大学生物医学工程专业，学士学位（2005），博士学位（2011、全国百篇优秀博士学位论文）。2011-2025华中科技大学武汉光电国家研究中心，历任副教授、教授（2016）。2025年加入海南大学。主持过国家自然科学基金优秀青年科学基金、青年基金、重大仪器（课题）和重大研究计划培育项目，科技部科技创新2030重大项目（课题）。
主要研究方向：
1. 生物医学图像智能处理
2. 脑网络分析与可视化
3. 数据驱动的脑科学发现
4. 数字孪生与类脑人工智能
5. 脑机接口与神经调控
招生专业：
招收生物医学工程、计算机科学与工程、软件工程、人工智能和自动化、物理和数学及相关专业的本科生、硕士生和博士生，以及相关研究方向的博士后和预聘教师，隶属脑空间信息学团队（骆清铭团队）。
联系方式 aali@hainanu.edu.cn
获奖与荣誉称号：
2006 湖北省科技进步一等奖（6/11）
2013 全国百篇优秀博士学位论文
2014 国家技术发明奖二等奖（3/8）
2021 黄家驷生物医学工程奖技术发明一等奖（3/8）
学术兼职：
中国图像图形学学会脑图谱专业委员会委员
中国认知科学学会认知神经环路与信息处理专业委员会委员
中国神经科学学会神经科学研究技术分会委员
中国光学学会生物医学光子学专委会青年主任委员
中国生物医学工程学会青年工作委员会委员
学术成果：
已发表研究论文150余篇，其中第一或通讯作者论文40余篇，包括Science、Nat Methods、Nat Commun.、PNAS、Neuron、Adv Sci、IEEE TMI、Bioinform等，以及NeurIPS、ICLR、ICCV等计算机顶会。
学术论文完整清单：https://scholar.google.com/citations?hl=en&user=PWmZx28AAAAJ
主要的学术论文：（#为第一作者，*为通讯作者，IF为SCI影响因子）
[1] Li A#, Gong H#, Zhang B#, …, Luo Q*. Micro-optical sectioning tomography to obtain a high-resolution atlas of the mouse brain. Science 330, 1404-1408, (2010). 【CNS顶刊；IF 45.8；并一排名第一】
[2] Zhong Q#, Li A#, …, Yuan J* & Luo Q*. High-definition imaging using line-illumination modulation microscopy. Nature Methods 18, 309-15 (2021). 【Nature大子刊；IF 48.5；并列一作】
[3] Zhang B#, Qiu L#, …, Li A* & Gao Z*. Reconstruction of the Hypothalamo-Neurohypophysial System and Functional Dissection of Magnocellular Oxytocin Neurons in the Brain. Neuron 109, 331-46 (2021). 【神经科学顶刊；IF 15.0；共通讯】
[4] Li H#, Jiang T#, …, Bian W*, Li A*, & Yu X*. Single-neuron projectomes of mouse paraventricular hypothalamic nucleus oxytocin neurons reveal mutually exclusive projection patterns. Neuron 112, 1081–1099 (2024). 【神经科学顶刊；IF 15.0；共通讯】
[5] Ding W#, Song W#, Shi X#, Feng Z#, …, Li A*, Wang X*, Deng J*, & Sun Y*. Single-neuron projectome reveals organization of somatosensory ascending pathways in the mouse brain. Neuron 113, 2083-2101.e5 (2025). 【神经科学顶刊；IF 15.0；共通讯】
[6] Zhou W#, Ke S#, …, Sun W*, Li A*, & Li P*. Mapping the Function of Whole‐Brain Projection at the Single Neuron Level. Advanced Science 9, 2202553 (2022). （中科院综合性期刊TOP；IF 14.1；共通讯）
[7] Yang R#, Xiao T#, Cheng Y#, Li A#, …, Suo J*, Luo Q*, & Dai Q*. Sharing massive biomedical data at magnitudes lower bandwidth using implicit neural function. Proceedings of the National Academy of Sciences of the United States of America 121, e2320870121 (2024). 【中科院综合性期刊TOP；IF 9.1；并列一作】
[8] Zhu T#, …, Li A*. Data-Driven Morphological Feature Perception of Single Neuron with Graph Neural Network. IEEE Transactions on Medical Imaging 42, 3069–3079 (2023). 【中科院医学TOP；IF 9.8；通讯作者】
[9] Zhu T#, Hu D#, Zhou J, Du K*, Li A*. Biologically Constrained Barrel Cortex Model Integrates Whisker Inputs and Replicates Key Brain Network Dynamics. In The Thirteenth International Conference on Learning Representations (ICLR) (2025). 【AI领域顶会；共通讯排名最后】
[10] Xu Z#, Feng Z, Zhao M, Sun Q, Deng L, Jia X, Jiang T, Luo P, Chen W, Tudi A, Yuan J, Li X, Gong H, Luo Q, Li A*. Whole-brain connectivity atlas of glutamatergic and GABAergic neurons in the mouse dorsal and median raphe nuclei. eLife, 10, e65502, (2021). 【中科院生物学TOP；通讯作者】
[11] A. Li#, …, Q. Luo*. Challenges of Processing and Analyzing Big Data in Mesoscopic Whole-brain Imaging. Genomics Proteomics & Bioinformatics 17, 337-343, (2019). 【IF 7.9；一作】
[12] Chen W#, …, Xiao C*, & Li A*. A hierarchically annotated dataset drives tangled filament recognition in digital neuron reconstruction. Patterns 5, 101007 (2024). 【IF 7.4；共通讯排名最后】
[13] Li Y#*, …, Li A*. A high-performance deep-learning-based pipeline for whole-brain vasculature segmentation at the capillary resolution. Bioinformatics 39, btad145 (2023). 【IF 5.4；共通讯排名最后】
[14] Chai X#, …, A. Li*. Knowledge mining of brain connectivity in massive literature based on transfer learning. Bioinformatics 40, btae648 (2024). 【IF 5.4；通讯作者】
[15] Li Y#, …, Li A*. Deep leaning-based interactive segmentation of three-dimensional blood vessel images. Biomedical Signal Processing and Control 104, 107507 (2025).【IF 4.9；通讯作者】
[16] Li Y#*, …, Li A*. VBNet: An end-to-end 3D neural network for vessel bifurcation point detection in mesoscopic brain images. Computer Methods and Programs in Biomedicine 214, 106567 (2022). 【IF 4.8；共通讯排名最后】
[17] Li W#, …, Li A*. Graph-based cell pattern recognition for merging the multi-modal optical microscopic image of neurons. Computer Methods and Programs in Biomedicine 256, 108392 (2024). 【IF 4.8；共通讯排名最后】
[18] Feng Z#, …, Li A, Dong H*, Gong H* & Luo Q*. A mouse brain stereotaxic topographic atlas with isotropic 1-μm resolution. Nature 645, 448-456 (2025). 【CNS顶刊；IF 48.5】
[19] Peng H#*, Xie P#, Liu L#, …, Li A, …, Zeng H*. Morphological diversity of single neurons in molecularly defined cell types. Nature 598, 159–166 (2021). 【CNS顶刊；IF 48.5】
[20] Muñoz-Castañeda R#, Zingg B#, Matho K#, Chen X#, Wang Q#, Foster N, Li A,…, Ascoli G*, Huang J*, Osten P*, Harris J* & Dong H*. Cellular anatomy of the mouse primary motor cortex. Nature 598, 159–166 (2021). 【CNS顶刊；IF 48.5】
[21] Foster N#*, …, Li A, …, Dong H*. The mouse cortico–basal ganglia–thalamic network. Nature 598, 188–194 (2021). 【CNS顶刊；IF 48.5】
[22] Qiu S#, Hu y#, Huangy#, Gao T#, …, A. Li, …, Sun Y*, Li C*, Yao H*, Gong H*, Sun Y* & Xu C*. Whole-brain spatial organization of hippocampal single-neuron projectomes. Science 383, eadj9198 (2024). 【CNS顶刊；IF 45.8】
[23] Gou L#, Wang Y#, …, Li A, …, Yang X*, Shen Z*, Xu C* & Yan J*. Single-neuron projectomes of macaque prefrontal cortex reveal refined axon targeting and arborization. Cell 188, 3806-3822.e24 (2025). 【CNS顶刊；IF 42.5】
BIOGRAPHY
Anan Li, PhD.
Professor, PhD. supervisor
School of Biomedical Engineering
Hainan University, Haikou, China
Email: aali@hainanu.edu.cn
Academic Position & Affiliation
Anan Li is a Professor at the School of Biomedical Engineering, Hainan University, Prior to this, he held academic positions at Huazhong University of Science and Technology (HUST) from 2011 to 2025, where he was promoted to Associate Professor and later appointed Full Professor in 2016. He also served as the Vice Director of the HUST-Suzhou Institute for Brainsmatics starting from 2017.
Education Background
Prof. Li received his Bachelor of Engineering (B.E.) and Doctor of Philosophy (Ph.D.) degree in Biomedical Engineering from Huazhong University of Science and Technology (HUST), in 2005 and 2011, respectively. His doctoral research was supervised by Professor Qingming Luo, and his dissertation was honored with the National Top 100 Excellent Doctoral Dissertations Award of China in 2013—one of the highest academic honors for doctoral candidates in China.
Research Interests & Expertise
His research lies at the dynamic intersection of biomedical engineering, computational neuroscience, and artificial intelligence, where he merges cutting-edge imaging technology (MOST/fMOST) with algorithmic innovation to decode the brain’s intricate architecture and inspire next-generation AI systems. His core research focuses on four interconnected directions:
1. Intelligent Processing of Biomedical Images
2. Brain Network Analysis and Visualization
3. Data-Driven Discovery in Brain Science
4. Digital Twin and Brain-Inspired Artificial Intelligence
5. Brain–Computer Interface and Neuromodulation
Research Achievements
He has published over 150 peer-reviewed research articles in leading comprehensive, methodological, and neuroscience-focused academic journals, with more than 40 as first or corresponding author. His work has been featured in top-tier publications such as Science, Nature Methods, Nature Communications, PNAS, Neuron, and Advanced Science, as well as flagship computer science conferences including NeurIPS, ICLR, and ICCV. For a complete list of Prof. Li’s academic publications, please refer to his Google Scholar Profile:
https://scholar.google.com/citations?hl=en&user=PWmZx28AAAAJ
Key Academic Publications (# First Author; * Corresponding Author)
[1] Li A#, Gong H#, Zhang B#, …, Luo Q*. Micro-optical sectioning tomography to obtain a high-resolution atlas of the mouse brain. Science 330, 1404-1408 (2010). (First among Co-First Authors)
[2] Zhong Q#, Li A#, …, Yuan J* & Luo Q*. High-definition imaging using line-illumination modulation microscopy. Nature Methods 18, 309-315 (2021). (Co-First Author)
[3] Zhang B#, Qiu L#, …, Li A* & Gao Z*. Reconstruction of the Hypothalamo-Neurohypophysial System and Functional Dissection of Magnocellular Oxytocin Neurons in the Brain. Neuron 109, 331-346 (2021). (Co-Corresponding Author)
[4] Li H#, Jiang T#, …, Bian W*, Li A*, & Yu X*. Single-neuron projectomes of mouse paraventricular hypothalamic nucleus oxytocin neurons reveal mutually exclusive projection patterns. Neuron 112, 1081–1099 (2024). (Co-Corresponding Author)
[5] Ding W#, Song W#, Shi X#, Feng Z#, …, Li A*, Wang X*, Deng J*, & Sun Y*. Single-neuron projectome reveals organization of somatosensory ascending pathways in the mouse brain. Neuron 113, 2083-2101.e5 (2025). (Co-Corresponding Author)
[6] Zhou W#, Ke S#, …, Sun W*, Li A*, & Li P*. Mapping the Function of Whole‐Brain Projection at the Single Neuron Level. Advanced Science 9, 2202553 (2022). (Co-Corresponding Author)
[7] Yang R#, Xiao T#, Cheng Y#, Li A#, …, Suo J*, Luo Q*, & Dai Q*. Sharing massive biomedical data at magnitudes lower bandwidth using implicit neural function. Proceedings of the National Academy of Sciences of the United States of America 121, e2320870121 (2024). (Co-First Author)
[8] Zhu T#, …, Li A*. Data-Driven Morphological Feature Perception of Single Neuron with Graph Neural Network. IEEE Transactions on Medical Imaging 42, 3069–3079 (2023). (Corresponding Author)
[9] Zhu T#, Hu D#, Zhou J, Du K*, Li A*. Biologically Constrained Barrel Cortex Model Integrates Whisker Inputs and Replicates Key Brain Network Dynamics. In The Thirteenth International Conference on Learning Representations (ICLR) (2025). (Co-Corresponding Author (last in sequence))
[10] Xu Z#, Feng Z, Zhao M, Sun Q, Deng L, Jia X, Jiang T, Luo P, Chen W, Tudi A, Yuan J, Li X, Gong H, Luo Q, Li A*. Whole-brain connectivity atlas of glutamatergic and GABAergic neurons in the mouse dorsal and median raphe nuclei. eLife 10, e65502 (2021). (Corresponding Author)
[11] A. Li#, …, Q. Luo*. Challenges of Processing and Analyzing Big Data in Mesoscopic Whole-brain Imaging. Genomics Proteomics & Bioinformatics 17, 337-343 (2019). (First Author)
[12] Chen W#, …, Xiao C*, & Li A*. A hierarchically annotated dataset drives tangled filament recognition in digital neuron reconstruction. Patterns 5, 101007 (2024). (Co-Corresponding Author (last in sequence))
[13] Li Y#, …, Li A*. A high-performance deep-learning-based pipeline for whole-brain vasculature segmentation at the capillary resolution. Bioinformatics 39, btad145 (2023). (Co-Corresponding Author (last in sequence))
[14] Chai X#, …, A. Li*. Knowledge mining of brain connectivity in massive literature based on transfer learning. Bioinformatics 40, btae648 (2024). (Corresponding Author)
[15] Li Y#, …, Li A*. Deep learning-based interactive segmentation of three-dimensional blood vessel images. Biomedical Signal Processing and Control 104, 107507 (2025). (Corresponding Author)
[16] Li Y#, …, Li A*. VBNet: An end-to-end 3D neural network for vessel bifurcation point detection in mesoscopic brain images. Computer Methods and Programs in Biomedicine 214, 106567 (2022). (Co-Corresponding Author (last in sequence))
[17] Li W#, …, Li A*. Graph-based cell pattern recognition for merging the multi-modal optical microscopic image of neurons. Computer Methods and Programs in Biomedicine 256, 108392 (2024). (Co-Corresponding Author (last in sequence))
[18] Feng Z#, …, Li A, Dong H*, Gong H* & Luo Q*. A mouse brain stereotaxic topographic atlas with isotropic 1-μm resolution. Nature 645, 448-456 (2025).
Honors & Awards
l State Technological Invention Award (Second Class, 3rd of 8 contributors), China (2013)
l National Top 100 Excellent Doctoral Dissertations Award, China (2013)
l Huang Jiashi Biomedical Engineering Technology Invention Award (First Class, 3rd of 8 contributors), Chinese Society of Biomedical Engineering (2021)
l Excellent Young Scientists Fund, National Natural Science Foundation of China (NSFC) (2021)
l Hubei Provincial Science and Technology Progress Award (First Class, 6th of 11 contributors), China (2006)
Academic Service
l Member, Committee on Brain Atlasing, Chinese Society of Image and Graphics (CSIG)
l Committee of Cognitive Neural Circuits and Information Processing, Chinese Society of Cognitive Science (CSCS)
l Member, Neuroscience Research Technology Branch, Chinese Neuroscience Society (CNS)
l Young Director, Committee on Biomedical Photonics, Chinese Optical Society (COS)
l Member, Youth Working Committee, Chinese Society of Biomedical Engineering (CSBE)
