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万晓华,北京理工大学长聘副教授、博士生导师,博士毕业于中国科学院计算技术研究所。2012年至2014年于美国加州大学圣地亚哥分校UCSD从事博士后研究工作,2015年至2012年在中国科学院计算技术研究所任副研究员,2015年入选中科院青年创新促进会。主要研究方向为生物医学图像分析和高性能计算,特别是针对电镜图像处理方面作出了一系列研究成果,相关算法及软件已经在美国圣地亚哥超算中心、美国国家显微镜与影像研究中心、清华大学、中科院生物物理所、北大国际医院、北京友谊医院、北京同仁医院等单位得到广泛应用。近年来在Nature Communication、SIAM Journal on Scientific Computing、Journal of Structural Biology、Bioinformatics、IPDPS、BIBM等国际顶级期刊和会议上发表60余篇论文。主持国家自然科学基金面上基金2项、国家自然科学基金青年基金1项、中科院先导项目(A 类)子课题1项、北京市自然科学基金重点研究项目课题1项;作为课题执行负责人承担了国家自然科学基金联合基金项目1项、国家重点研发计划2项。目前担任CCF生物信息学专业委员会委员,CAAI生物信息学与人工生命专业委员会委员,CCF高级会员。担任ISBRA2018 Publication Chair、BIBM2021和BIBM2022 PC member,受邀为TMI、Bioinformatics、JPDC、TCBB、BIBM、MICCAI等期刊或会议审稿。 教育培训经历 2008.09-2012.06 中国科学院计算技术研究所 博士 工作经历 2022.11-至今 北京理工大学医学技术学院 长聘副教授 2015.10-2022.10 中国科学院计算技术研究所 副研究员 2012.12-2014.09 美国加州大学圣地亚哥分校 博士后 2012.07-2015.09 中国科学院计算技术研究所 助理研究员 所获奖励/荣誉 2021年,中国科学院计算技术研究所 优秀科研人员 2020年,中科院“先导杯”并行计算应用大奖赛优胜奖 2016年,国家超级计算广州中心“天河之星”优秀应用奖 2015年,中科院“青年创新促进会”会员 2014年,中国科学院计算技术研究所 优秀科研人员 2013年,中国科学院计算技术研究所 “学术”百星 2012年,中国科学院院长优秀奖 2011年,中国科学院计算技术研究所 所长特别奖学金

研究领域

生物医学图像分析、生物信息学、高性能计算

近期论文

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期刊论文 Jing Cheng#, Tong Liu#, Xin You, Fa Zhang, Sen-Fang Sui, Xiaohua Wan*, Xinzheng Zhang*. Determining protein structures in cellular lamella at pseudo-atomic resolution by GisSPA. Nature Communication 14, 1282 (2023). Dehui Qiu#, Xinyue Zhang#, Xiaohua Wan*, Jiacheng Li, Ziheng Xu, Senlin Lin, Fa Zhang, Xuekun Song, Rui Zhang, Yulong Chen, Yuling Zheng*. A novel tongue feature extraction method on mobile devices. Biomedical Signal Processing and Control, 2023, 80. Hongjia Li, Ge Chen, Shan Gao, Jintao Li, Xiaohua Wan*, Fa Zhang*. A Transfer Learning-based Classification Model for Particle Pruning in Cryo-electron Microscopy. Journal of Computational Biology, 2022, 29(10): 1117-1131. Hongjia Li#, Hui Zhang#, Xiaohua Wan, Zhidong Yang, Chengmin Li, Jintao Li, Renmin Han*, Ping Zhu*, Fa Zhang*, Noise-Transfer2Clean: denoising cryo-EM images based on noise modeling and transfer. Bioinformatics, 38(7), 2022, 2022–2029. Yu Hao, Xiaohua Wan, Rui Yan, Zhiyong Liu, Jintao Li, Shihua Zhang*, Xuefeng Cui*, Fa Zhang*. VP-Detector: A 3D multi-scale dense convolutional neural network for macromolecule localization and classification in cryo-electron tomograms. Computer Methods and Programs in Biomedicine, 2022, 221:106871. Enze Zhang#, Boheng Zhang, Shaohan Hu, Fa Zhang, Zhiyong Liu, Xiaohua Wan*. Multi-labelled proteins recognition for high-throughput microscopy images using deep convolutional neural networks. BMC Bioinformatics, 2021, 22(Suppl 3):327. Zenan Shen#, Zhimeng Gan#, Fa Zhang, Xinyao Yi, Jinzhi Zhang, Xiaohua Wan*. Analysis of codon usage patterns in citrus based on coding sequence data. BMC genomics, 2020, 21(5): 234-243. Zhilong Lv, Fubo Mi, Zhongke Wu, Yicheng Zhu, Xinyu Liu, Mei Tian, Fa Zhang, Xingce Wang*, Xiaohua Wan*. A parallel cerebrovascular segmentation algorithm based on focused multi-gaussians model and heterogeneous markov random field. IEEE Transactions on Nanobioscience, 2020, 19(3): 538-546. Zihao Wang, Jingrong Zhang, Weifang Gao, Zhiyong Liu*, Xiaohua Wan*, Fa Zhang*. A consensus framework of distributed multiple-tilt reconstruction in electron tomography. Journal of Computational Biology, 2020, 27(2): 212-222. Renmin Han, Xiaohua Wan, Lun Li, Albert Lawrence, Peng Yang, Yu Li, Sheng Wang, Fei Sun, Zhiyong Liu, Xin Gao*, Fa Zhang*. AuTom-dualx: a toolkit for fully automatic ?ducial marker-based alignment of dual-axis tilt series with simultaneous reconstruction. Bioinformatics, 2019, 35: 319-328. Zihao Wang, Yu Chen, Jingrong Zhang, Lun Li, Xiaohua Wan, Zhiyong Liu*, Fei Sun, Fa Zhang*. ICON-MIC: implementing a CPU/MIC collaboration parallel framework for ICON on Tianhe-2 supercomputer. Journal of Computational Biology, 2018, 25: 270-281. Yu Chen, Zihao Wang, Lun Li, Jingrong Zhang, Xiaohua Wan, Fei Sun*, Fa Zhang*. AutoGDeterm: automatic geometry determination for electron tomography. Tsinghua Science and Technology, 23 (2018) 369-376. Xiaohua Wan, Tsvi Katchalski, Christopher Churas, Sreya Ghosh, Sebastien Phan, Albert Lawrence*, Yu Hao, Ziying Zhou, Ruijuan Chen, Yu Chen, Fa Zhang, Mark H. Ellisman. Electron tomography simulator with realistic 3D phantom for evaluation of acquisition, alignment and reconstruction methods. Journal of Structural Biology, 2017,198(2): 103-115. Renmin Han#, Xiaohua Wan#, Zihao Wang, Yu Hao, Jingrong Zhang, Yu Chen, Xin Gao, Zhiyong Liu, Fei Ren, Fei Sun*, Fan Zhang*. AuTom: A novel automatic platform for electron tomography reconstruction. Journal of Structural Biology, 2017, 199(3): 196-208. Fa Zhang, Yu Chen, Fei Ren, Xuan Wang, Zhiyong Liu, Xiaohua Wan. A two-phase improved correlation method for automatic particle selection in cryo-EM. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2017, 14: 316-325. 会议论文 Ziheng Xu, Dehui Qiu, Senlin Lin, Xinyue Zhang, Fa Zhang*, Xiaohua Wan*. Temporal Correlation Network for Video Polyp Segmentation. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Shuo Li, Hongjia Li, Chi Zhang, Fa Zhang*, Xiaohua Wan*. A Segmentation-aware Synergy Network for Single Particle Recognition in Cryo-EM. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Fangyuan Zhao, Xiaohua Wan*, Sijia Li, Zhongchang Sun*, Wenjing Zhang, Dehui Qiu, Fa Zhang, Xinyu Liu, Guangming Tan. CSAM: a Channel and Spatial Attention Mechanism for Impervious Surface Extraction in Difficult Areas. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 17-22, 2022, Virtual. Senlin Lin#, Xuekun Song#, Ziheng Xu, Xinyue Zhang, Yinqing Lin, Rui Zhang, Yulong Chen, Fa Zhang, Dehui Qiu, Yuling Zheng*, Xiaohua Wan*. Moment Invariants with Data Augmentation for Tongue Image Segmentation. IEEE International Conference on Bioinformatics & Biomedicine (BIBM), 2021.12.9-12. Chi Zhang, Hongjia Li, Xiaohua Wan, Xuemei Chen, Zhenghe Yang, Jieqing Feng, Fa Zhang. TransPicker: a Transformer-based Framework for Particle Picking in cryoEM Micscrographs. IEEE International Conference on Bioinformatics & Biomedicine (BIBM), (EI, CCF B) 2021.12.9-12. Zihao Wang, Xiaohua Wan*, Zhiyong Liu*, Qianshuo Fan, Fa Zhang*, Guangming Tan. A multi-GPU design for large size cryo-EM 3D reconstruction. 35th IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2021, pp. 847-858. May 17-21, 2021, Virtual. Penglei Song, Ce Chi, Kaixuan Ji, Zhiyong Liu, Fa Zhang, Shikui Zhang, Dehui Qiu*, Xiaohua Wan*. A deep reinforcement learning-based task scheduling algorithm for energy efficiency in data centers. 2021 International Conference on Computer Communications and Networks (ICCCN), 2021, pp. 1-9. Shikui Zhang, Ce Chi, Kaixuan Ji, Zhiyong Liu, Fa Zhang, Penglei Song, Huimei Yuan, Dehui Qiu*, Xiaohua Wan*. A new meta-heuristic task scheduling algorithm for optimizing energy efficiency in data centers. 2021 IEEE International Conference on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), 2021. Zihao Yang, Zhaobin Cao, Xiaohua Wan*, Fa Zhang, Guangming Tan. Spatio-temporal features processing network for change detection in remote sensing images. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 12-16, 2021, Virtural. (EI, corresponding author) Zhaobin Cao, Mengmeng Wu, Rui Yan, Fa Zhang, Xiaohua Wan*. Detection of small changed regions in remote sensing imagery using convolutional neural network. IOP Conference Series: Earth and Environmental Science, 502, 012017, 2020, Beijing, China. Zhilong Lv, Rui Yan, Xinyu Liu, Zhongke Wu, Yicheng Zhu, Shiwei Sun, Fa Zhang, Xingce Wang*, Xiaohua Wan*. Cerebrovascular segmentation algorithm based on focused multi-Gaussians model and weighted 3D markov random field. IEEE International Conference on Bioinformatics & Biomedicine (BIBM), Nov 18-21, 2019, San Diego, USA. Qin Zhang, Li Zha*, Xiaohua Wan, Boqun Cheng. A GPU inference system scheduling algorithm with asynchronous data transfer. IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), May 20-24, 2019, Rio, Brazil. Zenan Shen, Zhimeng Gan, Fa Zhang, Xinyao Yi, Jinzhi Zhang, Xiaohua Wan*. Analysis of codon usage patterns in citrus based on coding sequence data. 15th International Symposium on Bioinformatics Research and Applications (ISBRA), June 3-6, 2019, Barcelona, Spain. Enze Zhang, Boheng Zhang, Shaohan Hu, Fa Zhang, Xiaohua Wan*. Classifying mixed patterns of proteins in high-throughput microscopy images using deep neural networks. International Conference on Intelligent Computing (ICIC). August 3-6, 2019, Nanchang, China. Zihao Wang, Jingrong Zhang, Xintong Liu, Zhiyong Liu*, Xiaohua Wan*, Fa Zhang*. DM-SIRT: A Distributed Method for Multi-Tilt Reconstruction in Electron Tomography. 15th International Symposium on Bioinformatics Research and Applications (ISBRA), June 3-6, 2019, Barcelona, Spain. Zihao Wang, Mingzhe Zhang, Jingrong Zhang, Rui Yan, Xiaohua Wan, Zhiyong Liu*, Fa Zhang*, Xuefeng Cui. Mmalloc: A dynamic memory management on many-core coprocessor for the acceleration of storage-intensive bioinformatics application. IEEE International Conference on Bioinformatics & Biomedicine (BIBM), Dec 3-6, 2018, Madrid, Spain. Yu Hao, Renmin Han, Xiaohua Wan, Fa Zhang*, Shiwei Sun. Fiducial marker detection via deep learning approach for electron tomography. IEEE International Conference on Bioinformatics & Biomedicine (BIBM), Dec 3-6, 2018, Madrid, Spain.

学术兼职

中国计算机学会CCF生物信息专委会,委员 中国人工智能学会CAAI生物信息学与人工生命专委会,委员 中国计算机学会CCF,高级会员 中国图形图像学会CSIG,会员 ISBRA’2018 Publication Chair BIBM’2021、BIBM’2022 PC member TMI、Bioinformatics、JPDC、TCBB、BSPC、BIBM、MICCAI等审稿人

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