基本信息

韩华  男  博导  中国科学院自动化研究所

中国科学院自动化研究所学术委员会委员、学位评定委员会委员
电子邮件: hua.han@ia.ac.cn
通信地址: 北京市海淀区中关村东路95号模式楼213
邮政编码: 100190

研究领域

研究领域:面向海量显微影像数据的三维重建和智能分析,探索深度学习、机器学习、模式识别等前沿理论,解决海量显微图像分类、检测、识别等挑战性问题。


高通量显微成像技术产生海量影像数据,如何重构数据、分析数据、可视数据等已成为脑科学与类脑研究领域的重大挑战。课题组致力于将人工智能最新进展和生命科学前沿问题紧密结合,建立以机器学习为驱动内核的显微大数据智能分析技术体系(AI for Science),为构建类脑计算仿真提供生物真实网络和仿生建模依据(BI from Connectome)。


已在SCIENCE、NAT.COMM.、CELL RES、CELL REP、JMCB、CMPB、BSPC、NEUROSCI BULLPHARMACOL RES等高水平杂志和IJCAI、CVPR、EMBC、ISBI等会议上发表学术论文60余篇,授权发明专利20余项。



招生信息

招生专业:模式识别与智能系统

招生方向:图像与视频处理、智能生物医学影像

招生部门:模式识别国家重点实验室/类脑智能研究中心(直博)、中国科学院大学未来技术学院(直博)

欢迎自动化、计算机、电子、数学等专业学生。

工作经历



工作简历
2020-10~现在, 中国科学院自动化研究所, 研究员(三级)
2019-06~现在, 中国科学院科教基础设施-脑智交叉平台, 总工程师
2016-09~现在, 中国科学院大学, 岗位教授
2014-10~现在, 中国科学院自动化所, 研究员(四级)
2004-08~2014-10,中国科学院自动化所, 助研/副高
1999-04~2001-08,江苏自动化研究所, 工程师
社会兼职
2022-12-01-今,中国电子显微镜学会生物医学电镜专委会, 委员
2022-03-01-今,北京电镜学会, 理事
2021-01-01-今,中国科学院电镜技术联盟, 理事
2020-07-01-今,中国科学院脑科学与智能技术卓越创新中心, 骨干
2018-01-01-今,中国仪器仪表学会显微仪器分会, 理事

出版信息

Selected Articles:

2023

Bei Hong, Jing Liu, Lijun Shen, Qiwei Xie, Jingbin Yuan, Ali Emrouznejad, Hua Han. Graph partitioning algorithms with biological connectivity decisions for neuron reconstruction in electron microscope volumes. Expert systems with applications. vol.222, no.119776, pp.119776, 2023.

Lilong Zhu, Xin Yu, Weifu Li, Lina Zhang, Nianxue Zhang, Yanan Lv, Lei Zhao, Wenyan Zhang, Zi Wang, Hongyao Yu, Zhongnan Bi, Hua Han, Jingjing Ruan, Liang Jiang. High-throughput investigation of Nb and Ta alloying effects on the microstructure and properties of a novel Ni-Co-based superalloy. Scripta materialia. vol.226, no.115215, pp.115215, 2023.

2022

Jing Liu, Junqian Qi, Xi Chen, Zhenchen Li, Bei Hong, Hongtu Ma, Guoqing Li, Lijun Shen, Danqian Liu, Yu Kong, Hao Zhai, Qiwei Xie, Hua Han, Yang Yang. Fear memory-associated synaptic and mitochondrial changes revealed by deep learning-based processing of electron microscopy data. Cell reports. vol.40, no.5, pp.111151, 2022.

Chi Xiao, Bei Hong, Jing Liu, Yuanyan Tang, Qiwei Xie, Hua Han. Deep residual contextual and subpixel convolution network for automated neuronal structure segmentation in micro-connectomics. Computer methods and programs in biomedicine. vol.219, pp.106759, 2022.

Yi Jiang, Linlin Li, Keliang Pang, Jiazheng Liu, Bohao Chen, Jingbin Yuan, Lijun Shen, Xi Chen, Bai Lu, Hua Han. Synaptic degeneration in the prefrontal cortex of a rat AD model revealed by volume electron microscopy. Journal of molecular cell biology. vol.14, no.3, 2022.

Jing Liu, Shengxiong Wang, Yan Lu, Haoyu Wang, Fangfang Wang, Miaoxin Qiu, Qiwei Xie, Hua Han, Yunfeng Hua. Aligned Organization of Synapses and Mitochondria in Auditory Hair Cells. Neuroscience bulletin. vol.38, no.3, pp.235-248, 2022.

Zhen Gu, Jia Guo, Jinglei Zhai, Guihai Feng, Xianning Wang, Zili Gao, Kai Li, Shen Ji, Leyun Wang, Yanhong Xu, Xi Chen, Yiming Wang, Shanshan Guo, Man Yang, Linlin Li, Hua Han, Liyuan Jiang, Yongqiang Wen, Liu Wang, Jie Hao, Wei Li, Shutao Wang, Hongmei Wang, Qi Gu. A Uterus-Inspired Niche Drives Blastocyst Development to the Early Organogenesis. Advanced science. vol.9, no.28, pp.e2202282, 2022.

Keliang Pang, Richeng Jiang, Wei Zhang, Zhengyi Yang, Lin Lin Li, Makoto Shimozawa, Simone Tambaro, Johanna Mayer, Baogui Zhang, Man Li, Jiesi Wang, Hang Liu, Ailing Yang, Xi Chen, Jiazheng Liu, Bengt Winblad, Hua Han, Tianzi Jiang, Weiwen Wang, Per Nilsson, Wei Guo, Bai Lu. An App knock-in rat model for Alzheimer’s disease exhibiting Aβ and tau pathologies, neuronal death and cognitive impairments. Cell research. vol.32, no.2, pp.157-175, 2022.

Kai Yang, Tong Liu, Ze Wang, Jing Liu, Yuxinyao Shen, Xinyi Pan, Ruyi Wen, Haotian Xie, Zhaoxuan Ruan, Zixiao Tan, Yingying Chen, Aike Guo, He Liu, Hua Han, Zengru Di, Ke Zhang. Classifying Drosophila olfactory projection neuron boutons by quantitative analysis of electron microscopic reconstruction. iScience. vol.25, no.5, pp.104180, 2022.

Yanchao Zhang, Jiazheng Liu, Zhenchen Li, Jinyue Guo, Hua Han. CFDA-M: Coarse-to-Fine Domain Adaptation for Mitochondria Segmentation via Patch-wise Image Alignment and Online Self-training. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). pp.1810-1815.

Zejin Wang, Jiazheng Liu, Guoqing Li, Hua Han. Blind2Unblind: Self-supervised image denoising with visible blind spots. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

2021

Chi Xiao, Xi Chen, Qiwei Xie, Guoqing Li, Hao Xiao, Jingdong Song, Hua Han. Virus identification in electron microscopy images by residual mixed attention network. Computer methods and programs in biomedicine. vol.198, pp.105766, 2021.

Yi Jiang, Linlin Li, Xi Chen, Jiazheng Liu, Jingbin Yuan, Qiwei Xie, Hua Han. Three-dimensional ATUM-SEM reconstruction and analysis of hepatic endoplasmic reticulum-organelle interactions. Journal of molecular cell biology. vol.13, no.9, pp.636-645, 2021.

Jing Liu, Bei Hong, Xi Chen, Qiwei Xie, Yuanyan Tang, Hua Han. An effective AI integrated system for neuron tracing on anisotropic electron microscopy volume. Biomedical signal processing and control. vol.69, pp.102829, 2021.

Jiazheng Liu, Weifu Li, Jiangtao Peng, Lijun Shen, Hua Han, Peng Zhang, Lei Yang. Geolocation Error Estimation and Correction on Long-Term MWRI Data. IEEE transactions on geoscience and remote sensing: a publication of the IEEE Geoscience and Remote Sensing Society. vol.59, no.11, pp.9448-9461, 2021.

Zejin Wang, Jing Liu, Xi Chen, Guoqing Li, Hua Han. Sparse self-attention aggregation networks for neural sequence slice interpolation. BioData mining. vol.14, no.1, pp.10, 2021.

Zi Wang, Lina Zhang, Weifu Li, Zijun Qin, Zexin Wang, Zihang Li, Liming Tan, Lilong Zhu, Feng Liu, Hua Han, Liang Jiang. A high-throughput approach to explore the multi-component alloy space: A case study of nickel-based superalloys. Journal of alloys and compounds. vol.858, pp.158100, 2021.

Tong Xin, Bohao Chen, Xi Chen, Hua Han. UTR: Unsupervised Learning of Thickness-Insensitive Representations for Electron Microscope Image. 2021 IEEE International Conference on Image Processing (ICIP). pp.155-159.

2020

Danqian Liu, Weifu Li, Chenyan Ma, Weitong Zheng, Yuanyuan Yao, Chak Foon Tso, Peng Zhong, Xi Chen, Jun Ho Song, Woochul Choi, Se Bum Paik, Hua Han, Yang Dan. A common hub for sleep and motor control in the substantia nigra. Science. vol.367, no.6476, pp.440-445, 2020.

Qiwei Xie, Yanfei Liu, Hui Huang, Bei Hong, Jinxin Wang, Hua Han, Yue Liu. An innovative method for screening and evaluating the degree of diabetic retinopathy and drug treatment based on artificial intelligence algorithms. Pharmacological research: the official journal of the Italian Pharmacological Society. vol.159, pp.104986, 2020.

Jie Zhao, Lijun Shen, Fang Liu, Pan Zhao, Qi Huang, Hua Han, Lianmao Peng, Xuelei Liang. Quality metrology of carbon nanotube thin films and its application for carbon nanotube-based electronics. Nano research. vol.13, no.6, pp.1749-1755, 2020.

Xi Chen, Hao Zhai, Danqian Liu, Weifu Li, Chaoyue Ding, Qiwei Xie, Hua Han. SiamBOMB: A real-time AI-based system for home-cage animal tracking, segmentation and behavioral analysis. Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI). pp.5300-5302.

Yanan Lv, Xi Chen, Chang Shu, Hua Han. Robust Global Optimized Affine Registration Method for Microscopic Images of Biological Tissue. 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2020). pp.1070-1074.

2019

Hao Wang, Qingyuan Zhu, Lufeng Ding, Yan Shen, Chao Yu Yang, Fang Xu, Chang Shu, Yujie Guo, Zhiwei Xiong, Qinghong Shan, Fan Jia, Peng Su, Qian Ru Yang, Bing Li, Yuxiao Cheng, Xiaobin He, Xi Chen, Feng Wu, Jiang Ning Zhou, Fuqiang Xu, Hua Han, Pak Ming Lau, Guo Qiang Bi. Scalable volumetric imaging for ultrahigh-speed brain mapping at synaptic resolution. National science review. vol.6, no.5, pp.982-992, 2019.

Yuan Lin, Lin Lin Li, Wei Nie, Xiaolei Liu, Avital Adler, Chi Xiao, Fujian Lu, Liping Wang, Hua Han, Xianhua Wang, Wen Biao Gan, Heping Cheng. Brain activity regulates loose coupling between mitochondrial and cytosolic Ca2+ transients. Nature communications. vol.10, no.1, pp.5277, 2019.

Youru Li, Zhenfeng Zhu, Deqiang Kong, Hua Han, Yao Zhao. EA-LSTM: Evolutionary attention-based LSTM for time series prediction. Knowledge-Based Systems. vol.181, pp.104785, 2019.

Yi Jiang, Chi Xiao, Linlin Li, Xi Chen, Lijun Shen, Hua Han. An Effective Encoder-Decoder Network for Neural Cell Bodies and Cell Nucleus Segmentation of EM Images. IEEE Engineering in Medicine and Biology Society Conference (EMBC). vol.2019, pp.6302-6305, 2019.

Xi Chen, Lijun Shen, Qiwei Xie, Hua Han. Skeleton-based image registration of serial electron microscopy sections. Medical Imaging 2019: Digital PathologySPIE. vol 10956. pp.9-14.

2018

Luoqing Li, Weifu Li, Bin Zou, Yulong Wang, Yuan Yan Tang, Hua Han. Learning With Coefficient-Based Regularized Regression on Markov Resampling. IEEE transactions on neural networks and learning systems. vol.29, no.9, pp.4166-4176, 2018.

Guodong Dong, Jie Zhao, Lijun Shen, Jiye Xia, Hu Meng, Wenhuan Yu, Qi Huang, Hua Han, Xuelei Liang, Lianmao Peng. Large-area and highly uniform carbon nanotube film for high-performance thin film transistors. Nano research. vol.11, no.8, pp.4356-4367, 2018.

Weifu Li, Jing Liu, Chi Xiao, Hao Deng, Qiwei Xie, Hua Han. A fast forward 3D connection algorithm for mitochondria and synapse segmentations from serial EM images. BioData mining. vol.11, pp.24, 2018.

Rong Sun, Xi Chen, Chun Ying Yin, Lei Qi, Pak Ming Lau, Hua Han, Guo Qiang Bi. Correlative light and electron microscopy for complex cellular structures on PDMS substrates with coded micro-patterns. Lab on a chip. vol.18, no.24, pp.3840-3848, 2018.

Xi Chen, Qiwei Xie, Lijun Shen, Hua Han. Morphology-retained non-linear image registration of serial electron microscopy sections. 2018 25th IEEE International Conference on Image Processing (ICIP). pp.3833-3837.

Jing Liu, Weifu Li, Chi Xiao, Bei Hong, Qiwei Xie, Hua Han. Automatic Detection and Segmentation of Mitochondria from SEM Images using Deep Neural Network. IEEE Engineering in Medicine and Biology Society Conference (EMBC). vol.2018, pp.628-631, 2018.

Weifu Li, Jing Liu, Chi Xiao, Hao Deng, Qiwei Xie, Hua Han. A Novel 3D Connection Algorithm of Mitochondria From ATUM-SEM Stacks Based on Segmentation Information in Context. IEEE Engineering in Medicine and Biology Society Conference (EMBC). vol.2018, pp.5105-5108, 2018.

Chi Xiao, Jing Liu, Xi Chen, Hua Han, Chang Shu, Qiwei Xie. Deep contextual residual network for electron microscopy image segmentation in connectomics. 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018). pp.378-381.

Chang Shu, Xi Chen, Qiwei Xie, Chi Xiao, Hua Han. Non-iterative simultaneous rigid registration method for serial sections of biological tissue. 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018). pp.436-440.

Chang Shu, Xi Chen, Qiwei Xie, Hua Han. An unsupervised network for fast microscopic image registration. Medical Imaging 2018: Digital Pathology (SPIE). vol 10581. pp.363-370.

Chi Xiao, Weifu Li, Xi Chen, Hua Han, Qiwei Xie. An effective fully deep convolutional neural networks for mitochondria segmentation based on ATUM-SEM. Medical Imaging 2018: Image Processing(SPIE).. vol 10574. pp.65-70.

Chi Xiao, Weifu Li, Hao Deng, Xi Chen, Yang Yang, Qiwei Xie, Hua Han. Effective automated pipeline for 3D reconstruction of synapses based on deep learning. BMC bioinformatics. vol.19, no.1, pp.263, 2018.

2017

Bing Xu, Yu Zhang, Xu Fei Du, Jia Li, Hua Xing Zi, Ji Wen Bu, Yong Yan, Hua Han, Jiu Lin Du. Neurons secrete miR-132-containing exosomes to regulate brain vascular integrity. Cell research. vol.27, no.7, pp.882-897, 2017.

Xixia Li, Gang Ji, Xi Chen, Wei Ding, Lei Sun, Wei Xu, Hua Han, Fei Sun. Large scale three-dimensional reconstruction of an entire Caenorhabditis elegans larva using AutoCUTS-SEM. Journal of structural biology. vol.200, no.2, pp.87-96, 2017.

Qiwei Xie, Xi Chen, Hao Deng, Danqian Liu, Yingyu Sun, Xiaojuan Zhou, Yang Yang, Hua Han. An automated pipeline for bouton, spine, and synapse detection of in vivo two-photon images. BioData mining. vol.10, pp.40, 2017.

Maoying Liao, Hongtu Ma, Dongliang Yu, Hua Han, Xuran Xu, Xufei Zhu. Formation mechanism of anodic titanium oxide in mixed electrolytes. Materials research bulletin. vol.95, pp.539-545, 2017.

Chi Xiao, Qiang Rao, Dandan Zhang, Xi Chen, Hua Han, Qiwei Xie. 3D reconstruction of synapses with deep learning based on EM Images. Medical Imaging 2017: Physics of Medical Imaging(SPIE).. vol 10132. pp.1206-1211.

Qiang Rao, Chi Xiao, Hua Han, Xi Chen, Lijun Shen, Qiwei Xie. Deep learning and shapes similarity for joint segmentation and tracing single neurons in SEM images. Medical Imaging 2017: Image Processing(SPIE).. vol 10133. pp.625-632.

Huiwen Cao, Hua Han, Qiang Rao, Chi Xiao, Xi Chen. Microscopic neural image registration based on the structure of mitochondria. Medical Imaging 2017: Image Processing(SPIE).. vol 10133. pp.597-602.

 




Cell子刊:开发小鼠听觉皮层亚细胞结构的三维电镜重构算法  

https://m.thepaper.cn/baijiahao_19344669

小鼠运动行为自动分析助力睡眠与运动的神经机制研究

http://www.ia.cas.cn/xwzx/kydt/202002/t20200221_5502770.html

脑微观重建与智能分析助力线粒体解码神经元活动研究  

https://www.nsfc.gov.cn/csc/20340/20343/48772/index.html

揭示肝脏细胞中内质网与细胞器纳米分辨率三维互作全景图  

https://m.thepaper.cn/baijiahao_13686596

人工智能助力病毒形态识别

https://www.163.com/dy/article/FP4N8FEO0511VCHN.html

基于深度学习实现耳蜗毛细胞的高通量三维电镜重构  

https://mp.weixin.qq.com/s/z67W7cX8eIePflsRbSd18g

前沿生物医学电子显微技术的发展态势与战略分析  

https://d.wanfangdata.com.cn/periodical/zgkx-cc202011003

发表著作
(1) 《神经科学》(4版), 北京大学医学出版社, 2022-10, 第 其他 作者

学生培养

2010级

张旭  硕士研究生  430112-计算机技术  华北电力大学  毕业去向:大唐电信

2011级

胡敏  硕士研究生  085211-计算机技术  华中科技大学  毕业去向IBM研究院

2014级

曹会文  硕士研究生  085211-计算机技术  天津大学  毕业去向:中科院

饶强     硕士研究生  081104-模式识别与智能系统  西安交通大学  毕业去向:华为 

2015级

舒畅      直博研究生  081203-计算机应用技术 华中科技大学 毕业去向:美团

杨茂柯  硕士研究生  085211-计算机技术  中南大学 毕业去向:深动 

肖振鹏  硕士联培生   085211-计算机技术  武汉理工大学 毕业去向:比特大陆 

2016级

肖驰     博士研究生  081104-模式识别与智能系统  北京理工大学 毕业去向:海南大学

刘静     硕博研究生  081104-模式识别与智能系统  西北工业大学 毕业去向:中科院

赵盼     硕士联培生  085211-计算机技术    青岛科技大学 毕业去向:阿里

2017级

周芳旭 直博研究生  081104-模式识别与智能系统   北京交通大学 毕业去向:北京大学

江熠     直博研究生  081104-模式识别与智能系统  安徽大学 毕业去向:上海交大

常胜     硕博研究生  085211-计算机技术  北京化工大学  毕业去向:中科院

2018级

刘家正  直博研究生  081104-模式识别与智能系统  中国地质大学(武汉) 毕业去向:中科院

辛桐     直博研究生  081104-模式识别与智能系统  南京邮电大学

王泽锦 硕博研究生  081104-模式识别与智能系统  武汉理工大学

2019级

洪贝     博士研究生 081104-模式识别与智能系统 湖北大学  毕业去向:国家实验室

李贞辰 直博研究生  081104-模式识别与智能系统  西安电子科技大学

孙国栋 硕士研究生 081104-模式识别与智能系统  华北电力大学 毕业去向:商汤

2020级

翟昊    直博研究生  081104-模式识别与智能系统  北京科技大学

袁静斌 博士研究生 081104-模式识别与智能系统  哈尔滨理工大学

2021级

郭锦越   直博研究生  081104-模式识别与智能系统  北京理工大学

张衍超   直博研究生  081104-模式识别与智能系统  东北大学

2022级

闫海洋   直博研究生  081104-模式识别与智能系统  北京理工大学

陈浩然   硕博研究生  081104-模式识别与智能系统  同济大学

张书嘉   硕士研究生  081104-模式识别与智能系统  天津大学

2023级

蒋刘赟   直博研究生  081104-模式识别与智能系统  北京理工大学

吕亚楠   博士研究生  081104-模式识别与智能系统  中国科学院自动化所

赵壮壮   博士研究生  081104-模式识别与智能系统  中国科学院微电子所

联合培养学生

许宇璇(硕士,北京大学)

汪璐(博士,北京大学)毕业去向:中科院高能所

陈波昊(硕士,中科院自动化所

吕亚楠(硕士,中科院自动化所毕业去向:中科院自动化所

王圣雄(博士,中科院生物物理所) 毕业去向:上海精准医学研究院

李伟夫(博士,湖北大学)毕业去向:华中农业大学

邓昊(博士,澳门科技大学) 毕业去向:华中农业大学

罗杰(硕士,湖北大学) 毕业去向:中科慧眼

赵兴辉(硕士,湖北大学)毕业去向:中科院自动化所

科研活动


在研项目
( 1 ) 灵长类全脑神经联接图谱计划(国际大科学计划培育项目), 负责人, 中国科学院计划, 2017-01--2021-12
( 2 ) 生物序列高通量扫描电镜三维影像系统产业化, 负责人, 地方任务, 2018-07--2020-06
( 3 ) 微观脑网络结构重构与分析, 负责人, 中国科学院计划, 2018-01--2022-12
( 4 ) 怀柔科学城脑智技术产业转化(2035创新任务), 负责人, 研究所自选, 2021-05--2023-12
( 5 ) 斑马鱼全脑微观连接图谱, 负责人, 中国科学院计划, 2020-06--2023-12
( 6 ) 脑微观图谱的高通量技术体系研发, 负责人, 地方任务, 2020-09--2022-12
( 7 ) 生物切片阵列大面积离子减薄仪, 负责人, 中国科学院计划, 2022-01--2023-12
( 8 ) 器官重建与制造-器官长时程功能维持与监测, 负责人, 中国科学院计划, 2021-11--2022-12
( 9 ) 基于深度学习的纳米尺度高通量脑连接图谱解析研究, 负责人, 国家任务, 2022-01--2025-12
( 10 ) 生物高通量电镜三维影像系统, 负责人, 中国科学院计划, 2017-01--2018-12
( 11 ) 脑认知功能图谱与类脑智能交叉研究平台(2035创新任务), 负责人, 研究所自选, 2020-04--2022-12