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楊戈

（中國科學院自動化研究所研究員）

鎖定
楊戈，博士生導師，中國科學院自動化研究所研究員，中國科學院大學人工智能學院長聘教授 [1]  。
2024年3月，從中國科學院自動化研究所獲悉，該所楊戈研究員團隊與中國科學院生物物理研究所孫飛研究員團隊合作，以人工智能技術賦能原位結構生物學，研究提出一種基於弱監督深度學習的快速準確顆粒挑選方法(DeepETPicker)，實現對生物大分子快速準確的定位識別。 [3] 
中文名
楊戈
外文名
Ge Yang
國    籍
中國
民    族
漢族

目錄

  1. 1 人物簡介
  2. 2 教育經歷
  3. 3 工作經歷
  1. 4 成果榮譽
  2. 5 學術兼職
  3. 6 開設課程
  1. 7 期刊論文
  2. 8 會議論文

楊戈人物簡介

楊戈，男，博士，研究員，中國科學院自動化研究所研究員，中國科學院大學長聘教授。 [1] 

楊戈教育經歷

1986年~1991年，清華大學機械工程與電氣工程學士 [1]  ；
1995年~1998年，中國科學院自動化研究所自動控制專業碩士；
1998年~2004年，美國明尼蘇達大學雙城分校機器人學博士；
2004年~2008年，美國斯克利普斯研究所計算細胞生物學博士後 [2]  。

楊戈工作經歷

2019-01~現在,中國科學院自動化研究所模式識別國家重點實驗室,研究員
2014-07~2018-12,卡內基梅隆大學生物醫學工程系與計算生物學系,副教授
2009-01~2014-06,卡內基梅隆大學生物醫學工程系與計算生物學系,助理教授
2004-01~2008-12,美國斯克利普斯研究所 (TSRI),博士後 （計算生物學）

楊戈成果榮譽

  • Best Paper Award (with Hao-Chih Lee), IEEE International Symposium on Biomedical Imaging (ISBI), 2015 [2] 
  • 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

楊戈學術兼職

  • 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)

楊戈開設課程

  • Spring 2018: CMU, Fundamentals of Biomedical Imaging and Image Analysis
  • Fall 2009-2016: CMU, BME42-620Engineering Molecular Cell Biology
  • Spring 2010-2016: CMU, BME42-731/CB02-740/ECE18-795Bioimage Informatics
  • Spring 2011, 2012, 2014: CMU, BSC03-741 Advance Cell Biology (co-taught with Adam Linstedt, Tina Lee, Manoj Puthenveedu, Phil Campbell)
  • Spring 2009: CMU02-701/Pitt MSCBIO/CMPBIO2060Current Topics in Computational Biology

楊戈期刊論文

  1. Li A., Chai X., Zhang Y. J.* and Yang G.* (2018) Isogeometric analysis based simulation and analysis of material transport in complex geometry of neurons,submitted.
  2. Ba Q., Yu Y., Lee H.-C., and Yang G. (2018) High-resolution imaging and quantitative analysis of mitochondrial dynamics inDrosophilalarval segmental axons, submitted.
  3. Chai X., Ba. Q., and Yang G. (2018) Characterizing robustness and sensitivity of convolutional neural networks for quantitative analysis of mitochondrial morphology,Quantitative Biology, in press.
  4. Ba Q., Raghavan G., Kiselyov K., and Yang G. (2018) Whole-cell scale dynamicorganization of lysosomes revealed by spatial statistical analysis,Cell Reports. vol. 23, pp. 3591-3606.
  5. Ming X., Chai X., Muthakana H., Liang X., Yang G., Zeev-Ben-Mordehai T. and Xing E. (2017) Deep learning based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms,Bioinformatics, vol. 33, pp. i13-i22.
  6. Rastogi S. K., Raghavan G., Yang G.* and Cohen-Karni T.* (2017) Effect of graphene on nonneuronal and neuronal cell viability and stress,Nano Letters,vol. 17, pp. 3297-3301.
  7. Ba Q., and Yang G. (2016) Intracellular organelle networks: Understanding their organization and communication through systems-level modeling and analysis,Frontiers in Biology,doi:10.1007/s11515-016-1436-9.
  8. Yu Y., Lee H.-C., Chen K.-C., Suhan J., Qiu M., Ba Q. and Yang G. (2016) Inner membrane fusion mediates spatial distribution of axonal mitochondria,Scientific Reports,doi:10.1038/srep18981.
  9. Lee H.-C., Liao T., Zhang Y. J., and Yang G. (2015) Shape component analysis: structure-preserving dimension reduction on biological shape spaces,Bioinformatics, doi: 10.1093/bioinformatics/btv648.
  10. Liao T., Lee H.-C., Yang G., Zhang Y. J. (2015) Shape correspondence analysis for biomolecules based on volumetric eigenfunctions,Mol. Based Math. Biol., vol. 3, pp. 112-127.
  11. Weaver L. N., Ems-McClung S. C., Chen S. H., Yang G., Shaw S. L., and Walczak C. E. (2015) The Ran-GTP gradient spatially regulates XCTK2 in the spindle,Current Biology, vol. 25, pp. 1509-1514.
  12. Yang G. and Lee H.-C. (2015) Computational image analysis for cell mechanobiology, inIntegrative Mechanobiology: Micro and Nano Techniques in Cell Mechanobiology, Yu Sun, Craig Simmon, Deok-Ho Kim eds, Cambridge University Press, to appear.
  13. Yang G. (2014) Image-based computational tracking and analysis of spindle protein dynamics, in Mitosis: Methods and Protocols,Methods in Molecular Biology, D. Sharp ed., vol. 1136, DOI 10.1007/978-1-4939-0329-0_5, Springer.
  14. Gunawardena S., Yang G., and Goldstein L. S. B. (2013) Presenilin controls kinesin-1 and dynein function during AP vesicle transportin vivo,Human Molecular Genetics, vol. 22, pp. 3838-3843.
  15. Yang G. (2013) Bioimage informatics for understanding spatiotemporal dynamics of cellular processes (invited review),Wiley Interdisciplinary Reviews Systems Biology and Medicine, vol. 5, pp. 367-380.
  16. Booth-Gauthier E. A., Alcoser T. A., Yang G., and Dahl K. N. (2012) Force-induced changes in subnuclear movement and rheology,Biophysical Journal, vol. 103, pp. 2423-2431.
  17. Reis R. F.*, Yang G.*, Szpankowski L., Weaver C., Shah S. B., Robinson J. T., Hays T. S., Danuser G., and Goldstein L. S. B. (2012) Molecular motor function in axonal transport in vivo probed by genetic and computational analysis in Drosophila,Molecular Biology of the Cell, vol. 23, pp. 1700-1714. (*: equal contribution)
  18. Gable A., Qiu M., Titus J., Balchand S., Ferenz N. F., Ma N., Fagerstrom C., Ross R. L., Yang G., and Wadsworth P. (2012), Dynamic reorganization of Eg5 in the mammalian spindle throughout mitosis requires dynein and TPX2, Molecular Biology of the Cell,vol. 23, pp. 1254-1266.
  19. Roy S., Yang G., Tang Y., and Scott D. (2012) A simple photoactivation and image analysis module for visualizing and analyzing axonal transport with high temporal resolution,Nature Protocols, vol. 7, pp. 62-68, 2012.
  20. Matov A., Edvall M.M., Yang G., and Gaudenz Danuser (2011), Optimal-flow minimum-cost correspondence assignment in particle flow tracking, Computer Vision and Image Understanding,vol. 115, pp. 531-540.
  21. Weinger J., Qiu M., Yang G., and Kapoor T. (2011) A nonmotor microtubule binding site in kinesin-5 is required for filament crosslinking and sliding,Current Biology, vol. 21, pp. 1-7.
  22. Goodman B., Channels W., Qiu M., Iglesias P., Yang G.*, Zheng Y.* (2010) Lamin B counteracts the kinesin Eg5 to restrain spindle pole separation during spindle assembly,Journal of Biological Chemistry, vol. 285, pp. 35238-35244.
  23. Cameron, L.A., Houghtaling, B.R., and Yang G. (2010)Fluorescent Speckle Microscopy,inOptical Imaging Techniques: a Laboratory Manual, Yuste R. eds., Cold Spring Harbor Laboratory Press, pp. 667-682.
  24. Applegate, K., Yang G., Danuser, G. (2009)High-content analysis of cytoskeleton functions by fluorescent speckle microscopy,Nanotechnology, vol. 5, Nanomedicine, Vogel V. et al. eds., pp. 167-206, Wiley-VCH.
  25. Houghtaling B.R., Yang G.*, Matov A.*, Danuser G., and Kapoor T. (2009) Op18 reveals the contribution of non-kinetochore microtubules to the dynamic organization of the vertebrate meiotic spindle,Proceedings of the National Academy of Sciences, vol. 106, pp. 15338-15343.
  26. Yang G.*, Cameron L.A.*, Danuser G., and Salmon E.D. (2008) Regional variation of microtubule flux reveals microtubule organization in Xenopus extract meiotic spindles,Journal of Cell Biology, vol. 182, pp. 631-639.
  27. Dorn J., Danuser G., and Yang G. (2007)Computational processing and analysis of dynamic fluorescence image data,inFluorescent Proteins, Methods in Cell Biology, vol. 85, pp. 497-538.
  28. Yang G.*, Houghtaling B.R.*, Gaetz J., Liu J.Z., Danuser G., and Kapoor T.M. (2007), Architectural dynamics of the meiotic spindle revealed by single-fluorophore imaging,Nature Cell Biology, vol. 9, pp. 1233-1242. (*equal contribution)
  29. Haghnia M., Cavalli V., Shah S.B., Schimmelpfeng K., Brusch R., Yang G., Herrera C., Pilling A., and Goldstein, L.S.B. (2007), Dynactin is required for coordinated bidirectional motility, but not for dynein membrane attachment,Molecular Biology of the Cell, vol. 18, pp. 2081-2089.
  30. Yang G. and Nelson, B.J. (2007)Fundamentals of microscopy and machine vision,inLife Science Automation: Fundamentals and Applications, Zhang M.J., Nelson B.J., and Felder R.A. eds., pp.125-149, Artech House.
  31. Cameron L.A., Yang G., Cimini D., Canman J.C., Kisurina-Evgenieva O., Khodjakov A., Danuser G., and Salmon E.D. (2006) Kinesin 5-independent poleward flux of kinetochore microtubules in PtK1 cells,Journal of Cell Biology, vol. 173, pp. 173-179. (Cover)
  32. Shah S., Yang G., Danuser G., and Goldstein L.S.B. (2006)Axonal transport: imaging and modeling of a neuronal process,inProc. Nobel Symposium 131: Controlled Nanoscale Motion in Biological and Artificial Systems. Lecture Notes in Physics, vol. 711, pp. 65-84, Springer-Verlag.
  33. Yang G. and Nelson B.J. (2005) Optomechatronic design of microassembly systems for manufacturing hybrid microsystems,IEEE Transactions on Industrial Electronics, vol. 52, pp. 1013-1023.
  34. Yang G., Gaines J.A., and Nelson B.J. (2003) A supervisory wafer-level microassembly system for hybrid MEMS fabrication,Journal of Intelligent and Robotic Systems, vol. 37, pp. 43-68.
  35. Yang G. and Nelson B.J. (2003)Automated microassembly, inMEMS Packaging, T.-R. Hsu ed., pp. 109-140, IEE Press.
  36. Vikramaditya B., Nelson B.J., Yang G., and Enikov E.T. (2001) Microassembly of hybrid magnetic MEMS,Journal of Micromechatronics, vol. 1, pp. 99-116.

楊戈會議論文

  1. Chai X., Ba Q., and Yang G. (2018) Characterizing robustness and sensitivity of convolutional neural networks in segmentation of fluorescence microscopy images,2018 IEEE International Conference on Image Processing (ICIP), accepted
  2. Chai X., Qian D., Ba Q., Li A., Zhang J., and Yang G. (2017) Image-based measurement of cargo traffic flow in complex neurite networks,Proc.2017 IEEE International Conference on Image Processing (ICIP), pp. 3290-3294.
  3. Yang H., Wang J., Tang H., Ba Q., Yang G., and Tang X. (2017) Mitochondrial shape analysis using large deformation diffeomorphic metric curve matching,2017 IEEE Engineering in Medicine and Biology Conference (EMBC), pp. 4062-4065.
  4. Chen K.C., Yu Y., Kovacevic J., and Yang G. (2015) A sliding-window data aggregation method for super-resolution imaging of live cells,Proc. 2015 IEEE International Symposium on Biomedical Imaging (ISBI), pp. 785-788. Selected for oral presentation.
  5. Lee H.-C. and Yang G. (2015) Image-based computational methods for characterizing whole-cell scale spatiotemporal dynamics of intracellular transport,Proc. 2015 IEEE International Symposium on Biomedical Imaging (ISBI),pp. 699-702,ISBI 2015 Best Paper Award.
  6. Chen K.C., Yang G., and Kovacevic J. (2014) Spatial density estimation based segmentation of super-resolution localization microscopy images,Proc. 2014 IEEE International Conference on Image Processing (ICIP), pp. 867-871.
  7. Xu J.Q., Yu Y., Lee H.-C., Fan Q., Winter J., and Yang G. (2014) Cell penetrating peptide mediated quantum dot delivery and release in live mammalian cells,Proc. 36th Annual International Conference of IEEE Engineering in Medicine and Biology Society (EMBC2014), pp. 4260-4263.
  8. Chen K.C., Qiu M., Kovacevic J., and Yang G. (2014) Computational image modeling for characterization and analysis of intracellular cargo transport,Proc. of CompIMAGE'14 (Computational Modeling of Image Objects), Lecture Notes in Computer Science, vol. 8641, pp. 292-303.CompIMAGE'14 Best Paper Award.
  9. Lee H.-C. and Yang G. (2014) Computational removal of background fluorescence for biological fluorescence microscopy,Proc. 2014 IEEE International Symposium on Biomedical Imaging (ISBI), pp. 205-208.
  10. Lee H.-C. and Yang G. (2014) Integrating dimension reduction with mean-shift clustering for biological shape classification,Proc. 2014 IEEE International Symposium on Biomedical Imaging (ISBI), pp. 254-257. Selected for oral presentation
  11. Chen K.-C. Kovacevic J., and Yang G. (2014) Structure-based determination of imaging length for super-resolution localization microscopy,Proc. 2014 IEEE International Symposium on Biomedical Imaging (ISBI), pp. 991-994. Selected for oral presentation.
  12. Yang G. and Olivo-Marin J.-C. (2013) Image-based representation and modeling of spatiotemporal cell dynamics,Proc. 2013 IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1198-1201.
  13. Qiu M. and Yang G. (2013), Drift correction for fluorescence live cell imaging through correlated motion detection,Proc. 2013 IEEE International Symposium on Biomedical Imaging (ISBI), pp. 452-455.
  14. Chen K.-C., Yu Y., Li R., Lee H.-C., Yang G., and Kovacevic J. (2012), Adaptive active-mask image segmentation for quantitative characterization of mitochondrial morphology,Proc. 2012 IEEE International Conference on Image Processing (ICIP), pp. 2033-2036.
  15. Qiu M., Lee H.-C., and Yang G. (2012), Nanometer resolution tracking and modeling of bidirectional axonal cargo transport,Proc. 2012 IEEE International Symposium on Biomedical Imaging (ISBI), pp. 992-995. Selected for oral presentation.
  16. Yang G. (2011) Nanometer resolution imaging and tracking of axonal cargo transport in normal and degenerative neurons (invited paper),Proc. 45th Annual Asilomar Conference on Signals, Systems, and Computers, pp. 431-435.
  17. Yang G., Matov A., and Danuser G. (2005) Reliable tracking of large-scale dense particle motion for fluorescent live cell imaging.Proc. Workshop on Computer Vision Methods for Bioinformatics,IEEE Int. Conf. Computer Vision and Pattern Recognition. pp. 9-17.
  18. Yang G. and Nelson B.J. (2003) Wavelet-based autofocusing and unsupervised segmentation of microscopic images.Proc. IEEE/RSJ Int. Conf. Intelligent Robots and Systems,vol. 3, pp. 2143-2148.
  19. Yang G. and Nelson B.J. (2003) Micromanipulation contact transition control by selective focusing and microforce control.Proc. IEEE Int. Conf. Robotics and Automation,vol. 3, pp. 3200-3206.
  20. Yang G. and Nelson B.J. (2002) Integration of microscopic vision and microforce feedback for microassembly.Proc. 3rd Int. Workshop on Microfactories,pp. 145-148.
  21. Greminger M., Yang G., and Nelson B.J. (2002) Sensing nanonewton level forces by visually tracking structural deformations.Proc. IEEE Int. Conf. Robotics and Automation, vol. 2, pp. 1943-1948.
  22. Yang G., Gaines J.A., and Nelson B.J. (2001) A flexible experimental workcell for efficient and reliable wafer-level 3D microassembly.Proc. IEEE Int. Conf. on Robotics and Automation, vol. 1, pp. 133-138.
參考資料