基本信息

杨戈  男  博导  人工智能学院
电子邮件: yangge@ucas.ac.cn,ge.yang@ia.ac.cn
通信地址: 北京市海淀区中关村东路95号自动化大厦510
邮政编码: 100190

研究领域

计算机视觉,模式识别,科学人工智能(AI for Science),生物医学图像处理,计算生物学

招生信息

欢迎自动化、人工智能、模识识别、计算生物学,生物物理学,数学等专业优秀学生报考。

招生部门:中国科学院大学人工智能学院,中国科学院自动化研究所多模态人工智能全国重点实验室, 计算生物学与机器智能团队

招生方向: 081203-计算机应用技术,081104-模式识别与智能系统

教授课程

生物图像处理与信息学
图像处理
学术道德与学术写作规范-分论
图像分析与处理
图像处理与分析
Fundamentals of Biomedical Imaging and Image Analysis
Engineering Molecular Cell Biology
Bioimage Informatics

指导学生

已指导学生

吴诗雨  硕士研究生  085210-控制工程  

肖云鹏  硕士研究生  081203-计算机应用技术  

周雅婷  硕士研究生  081104-模式识别与智能系统  

现指导学生

罗曜儒  博士研究生  081104-模式识别与智能系统  

何佳  博士研究生  081104-模式识别与智能系统  

裘梦轩  博士研究生  081203-计算机应用技术  

周岩峰  博士研究生  081203-计算机应用技术  

钟丽群  博士研究生  081203-计算机应用技术  

黄家兴  博士研究生  081104-模式识别与智能系统  

李泠睿  硕士研究生  081104-模式识别与智能系统  

朱凯捷  硕士研究生  081203-计算机应用技术  

王腾  博士研究生  081203-计算机应用技术  

罗沁轩  博士研究生  081203-计算机应用技术  

周嘉恒  博士研究生  081104-模式识别与智能系统  

李奥  博士研究生  081203-计算机应用技术  

王子辰  硕士研究生  081203-计算机应用技术  

张玉冬  博士研究生  081203-计算机应用技术  

工作经历

   
工作简历
2019-01~现在, 中国科学院大学人工智能学院, 教授 (长聘)
2019-01~现在, 中国科学院自动化研究所多模态人工智能系统全国重点实验室, 研究员
2014-07~2018-12,卡内基梅隆大学生物医学工程系与计算生物学系, 副教授
2009-01~2014-06,卡内基梅隆大学生物医学工程系与计算生物学系, 助理教授
2004-01~2008-12,美国斯克利普斯研究所 (TSRI), 博士后 (计算生物学)
学术兼职

Executive Editor, Biological Imaging, 2022-

Associate Editor, BMC Bioinformatics (area: bioimage informatics; term 2016-)
Associate Editor, IEEE Signal Processing Letters (area: biomedical imaging; term: 2012-2014)
Member,IEEE Signal Processing Society Bio Imaging and Signal Processing Technical Committee (2012-2014; 2015-2017)
Co-chair (with Dimitri Van De Ville of EPFL) of tutorial sessions,2015 IEEE International Symposium on Biomedical Imaging (ISBI 2015)


专利与奖励

   
成果荣誉

中国科学院大学-教育部华为智能基座优秀教师奖,2022

中国科学院大学-教育部华为智能基座优秀教师奖,2021

中国科学院大学优秀教师奖,2020

中国科学院高层次海外人才引进计划入选人, 2019

美国劳伦斯伯克利国家实验室,生物系统与工程分部,约翰劳伦斯讲座, 2017

Best Paper Award (with Hao-Chih Lee), IEEE International Symposium on Biomedical Imaging (ISBI), 2015 [3] 

Best Paper Award (with Kuan-Chieh Chen), International Symposium on Computational Modeling of Image Objects (CompIMAGE'14), 2014
National Science Foundation Faculty Early Career Award, 2012
Invited participant, IEEE EMBS Forum on Grand Challenges in Biomedical Imaging, 2012
Invited participant, NSF Ideas Lab on Innovations in Biological Imaging and Visualization, 2010
Wimmer Faculty Fellow, Wimmer Foundation and Eberly Center for Teaching Excellence, Carnegie Mellon University, 2009
Nomination for Burroughs-Wellcome Interfaces in Science Award, Scripps Research Institute, 2007
Burroughs-Wellcome LJIS Interdisciplinary Fellowship, Burroughs-Wellcome Fund, 2006-2007
Excellent Student Award, Institute of Automation, Chinese Academy of Sciences, 1997
Elite Fellowship, Chinese Academy of Sciences, 1996
Guanghua Fellowship, Tsinghua University, 1989


出版信息

   
发表论文
[1] Liu, Guole, Niu, Tongxin, Mengxuan Qiu, Zhu, Yun, Sun, Fei, Yang,Ge. DeepETPicker: Fast and accurate 3D particle picking for cryo-electron tomography using weakly supervised deep learning. Nature Communications[J]. 2024, 15: 2090-, [2] 周雅婷, 李文静, 杨戈. SCTS: Instance segmentation of single cells using a Transformer-based semantic-aware model and space-filling augmentation. 2023 IEEE/CVF Winter Conference on Applications of Computer Visionnull. 2023, [3] Kaijie Zhu, Xixu Hu, Jindong Wang, Xing Xie, Ge Yang. Improving generalization of adversarial training via robust critical fine-tuning. International Conference on Computer Visionnull. 2023, [4] Sun, Shasha, Liu, Dongyue, Zhou, Yanfeng, Yang, Ge, Cui, LongBiao, Xu, Xian, Guo, Yuanhao, Sun, Ting, Jiang, Jiacheng, Li, Na, Wang, Yabin, Li, Sulei, Wang, ***, Fan, Li, Cao, Feng. Longitudinal real world correlation study of blood pressure and novel features of cerebral magnetic resonance angiography by artificial intelligence analysis on elderly cognitive impairment. FRONTIERS IN AGING NEUROSCIENCE[J]. 2023, 15: http://dx.doi.org/10.3389/fnagi.2023.1121152.
[5] Li, Wenjing, Jin, Kehan, Luo, Jichang, Xu, Wenlong, Wu, Yujie, Zhou, Jia, Wang, Yilin, Xu, Ran, Jiao, Liqun, Wang, Tao, Yang, Ge. NF-kappa B and its crosstalk with endoplasmic reticulum stress in atherosclerosis. FRONTIERS IN CARDIOVASCULAR MEDICINEnull. 2022, 9: http://dx.doi.org/10.3389/fcvm.2022.988266.
[6] 罗曜儒, 刘国乐, 郭远昊, 杨戈. Deep neural networks learn meta-structure from noisy labels in semantic segmentation. AAAI2022null. 2022, [7] Shiyu Wu, Guole Liu, Ge Yang. Fast particle picking for cryo-electron tomography using one-stage detection. 2022 IEEE International Symposium on Biomedical Imagingnull. 2022, [8] Yuanhao Guo, Di Shen, Yanfeng Zhou, Yutong Yang, Jinzhao Liang, Yating Zhou, Ningning Li, Yu Liu, Ge Yang, Wenjing Li. Deep Learning-Based Morphological Classification of Endoplasmic Reticulum Under Stress. FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY[J]. 2022, 9: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8865080/.
[9] Liu, Guole, Shi, Hao, Zhang, Huan, Zhou, Yating, Sun, Yujiao, Li, Wei, Huang, Xuefeng, Jiang, Yuqiang, Fang, Yaliang, Yang, Ge. Fast Noninvasive Morphometric Characterization of Free Human Sperms Using Deep Learning. MICROSCOPY AND MICROANALYSIS[J]. 2022, 28(5): 1767-1779, http://dx.doi.org/10.1017/S1431927622012132.
[10] Yang, Tianjie, Luo, Yaoru, Ji, Wei, Yang, Ge. Advancing biological super-resolution microscopy through deep learning: a brief review. BIOPHYSICS REPORTS[J]. 2021, http://arxiv.org/abs/2106.13064.
[11] Liqun Zhong, Guole Liu, 杨戈. Blind denoising of fluorescence microscopy images using GAN-based global noise modeling. 2021 IEEE International Symposium on Biomedical Imagingnull. 2021, [12] 杨戈. Few-shot domain adaptation for in situ macromolecular structural classification in cryo-electron tomograms. Bioinformatics. 2020, [13] Guo, Yuanhao, Verbeek, Fons J, Yang, Ge, IEEE. PROBABILISTIC INFERENCE FOR CAMERA CALIBRATION IN LIGHT MICROSCOPY UNDER CIRCULAR MOTION. 2020 IEEE 17TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2020)null. 2020, 149-153, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000578080300015.
[14] Li, Wenjing, Zhang, Shuhao, Yang, Ge. Dynamic organization of intracellular organelle networks. WILEY INTERDISCIPLINARY REVIEWS-SYSTEMS BIOLOGY AND MEDICINE[J]. 2020, http://dx.doi.org/10.1002/wsbm.1505.
[15] Song Chuanbiao, He Kun, Wang Liwei, Hopcroft John E. Improving the Generalization of Adversarial Training with Domain Adaptation. 2019, http://arxiv.org/abs/1810.00740.
[16] Feng, Yile, Chai, Xiaoqi, Ba, Qinle, Yang, Ge, IEEE. QUALITY ASSESSMENT OF SYNTHETIC FLUORESCENCE MICROSCOPY IMAGES FOR IMAGE SEGMENTATION. 2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)null. 2019, 814-818, [17] Angran Li, Xiaoqi Chai, Ge Yang, Yongjie Jessica Zhang. An Isogeometric Analysis Computational Platform for Material Transport Simulation in Complex Neurite Networks. 分子与细胞生物力学(英文)[J]. 2019, 16(2): 123-140, http://lib.cqvip.com/Qikan/Article/Detail?id=7100590019.
[18] Ba, Qinle, Raghavan, Guruprasad, Kiselyov, Kirill, Yang, Ge. Whole-Cell Scale Dynamic Organization of Lysosomes Revealed by Spatial Statistical Analysis. CELL REPORTS[J]. 2018, 23(12): 3591-3606, http://dx.doi.org/10.1016/j.celrep.2018.05.079.
[19] 杨戈. Effects of graphene on nonneuronal and neuronal cell viability and stress. Nano Letters. 2017, [20] Ba Qinle, Yang Ge. Intracellular organelle networks: Understanding their organization and communication through systems-level modeling and analysis. 生物学前沿:英文版[J]. 2017, 12(1): 7-18, http://lib.cqvip.com/Qikan/Article/Detail?id=671483195.
[21] 杨戈. Deep learning based subdivion approach for large scale macromolecular structure recovery from electron cryo tomograms. Bioinformatics. 2017, [22] Yu, Yiyi, Lee, HaoChih, Chen, KuanChieh, Suhan, Joseph, Qiu, Minhua, Ba, Qinle, Yang, Ge. Inner membrane fusion mediates spatial distribution of axonal mitochondria. SCIENTIFIC REPORTS[J]. 2016, 6: https://www.webofscience.com/wos/woscc/full-record/WOS:000368660200003.
[23] 杨戈. Shape component analysis: structure-preserving dimension reduction on biological shape space. Bioinformatics. 2015, [24] Guole Liu, Tongxin Niu, Mengxuan Qiu, Yun Zhu, Fei Sun, Ge Yang. DeepETPicker: Fast and accurate 3D particle picking for cryo-electron tomography using weakly supervised deep learning. NATURE COMMUNICATIONS. 15(1): http://dx.doi.org/10.1038/s41467-024-46041-0.

科研活动

   
科研项目
( 1 ) 基于深度学习的生物荧光显微图像分割关键技术研究与应用, 负责人, 国家任务, 2020-01--2023-12
( 2 ) 全细胞尺度溶酶体空间分布与互作调控的计算分析与建模, 负责人, 国家任务, 2020-01--2023-12
( 3 ) 生物大分子跨尺度结构研究的大数据深度学习整合分析技术, 负责人, 中国科学院计划, 2020-01--2024-12