University of Michigan - Shanghai Jiao Tong University Joint Institute

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Ming Yang

Ming Yang0904

Associate Dean & Professor

Office
  400H
Tel
  +86-21-34206765 Ext. 4008
Fax
  +86-21-34206525
Email
  mingyang@sjtu.edu.cn

Education

Ph.D. Computer Science, Tsinghua University (2003)
M.S. Computer Science, Tsinghua University (1999)
B.S. Automation, Huazhong University of Science and Technology (1997)

Work Experience

2019 – pres. Associate Dean, UM-SJTU Joint Institute, SJTU
2015 – 2019 Dean, Department of Automation, SEIEE, SJTU
2011 – pres. Professor, Department of Automation, SEIEE, SJTU
2005 – 2011 Associate Professor, Department of Automation, SEIEE, SJTU
2003 – 2005 Postdoc, INRIA, France

 Honors and Awards

  • National Excellent Teacher Award by BaoGang Education Foundation (2018)
  • National Teaching Achievements 1st Prize, Ministry of Education(2018)
  • Teaching and Educating 1st Prize, Shanghai Jiao Tong University (2018)
  • Tenured Professor, Shanghai Jiao Tong University (2018)
  • Shanghai Teaching Achievements 1st Prize, Shanghai Education Commission (2017)
  • Shanghai Yucai Awar, Shanghai Education Commission (2014)
  • Shanghai Teaching Achievements 1st Prize, Shanghai Education Commission (2013)
  • Beijing Teaching Achievements 1st Prize, Beijing Education Commission (2013)
  • National Excellent Teacher Award by BaoGang Education Foundation (2012)
  • Global Champion of FreeScale FTF Design Challenge, FreeScale (2009)
  • Shanghai Pujiang Talent Program, Shanghai (2007)

Selected Publications (10 selected in last 3 years)

  • Yeqiang QIAN, Ming YANG, Xu ZHAO, Chunxiang WANG, Bing WANG, Oriented Spatial Transformer Network for Pedestrian Detection Using Fish-Eye Camera, IEEE Transactions on Multimedia, 2019
  • Liuyuan DENG, Ming YANG, Hao LI, Tianyi LI, Bing HU, Chunxiang WANG, Restricted Deformable Convolution based Road Scene Semantic Segmentation using Surround View Cameras, IEEE Transactions on Intelligent Transportation Systems, 2019
  • Tianyi LI, Ming YANG, Hao LI, Liuyuan DENG, Chunxiang WANG, A Terrain-Based Vehicle Localization Approach Robust to Braking, IEEE Transactions on Intelligent Transportation Systems, 2019, DOI:10.1109/TITS.2018.2869475
  • Chunxiang WANG, Hairu HUANG, Yang JI, Bing WANG, Ming YANG, Vehicle Localization at an Intersection using a Traffic Light Map, IEEE Transactions on Intelligent Transportation Systems, April 2019, 20(4):1432-1441
  • Liang LI, Ming YANG, Chunxiang WANG, Bing WANG, Cubature Split Covariance Intersection Filter-based Point Set Registration, IEEE Transactions on Image Processing, Aug. 2018, 27(8):3942-3953
  • Wei TANG, Ming YANG, Zheming LYU, Ti SU, Bing WANG, Chunxiang WANG, MicroIV: A Cooperative Driving Hardware Simulation Platform for Cooperative-ITS, IEEE Transactions on Vehicular Technology, Aug. 2018, 67(10):9173-9182
  • Liang LI, Ming YANG, Chunxiang WANG, Bing WANG, Rigid Point Set Registration Based on Cubature Kalman Filter and Its Application in Intelligent Vehicles, IEEE Transactions on Intelligent Transportation Systems, June 2018, 19(6):1754-1765
  • Liang LI, Ming YANG, Chunxiang WANG, Bing WANG, Hybrid Filtering Framework based Robust Localization for Industrial Vehicles, IEEE Transactions on Industrial Informatics, March 2018, 14(3):941-950
  • Gang ZHU, Ming YANG, Hao LI, Bing WANG, Chunxiang WANG, Curvature Map-Based Magnetic Guidance for Automated Vehicles in an Urban Environment, IEEE Transactions on Intelligent Transportation Systems, Dec. 2016, 17(12):3541-3552
  • Liang LI, Ming YANG, Lindong Guo, Chunxiang WANG and Bing WANG, Hierarchical Neighborhood Based Precise Localization for Intelligent Vehicles in Urban Environments, IEEE Transactions on Intelligent Vehicles, Sept. 2016, 1(3):220-229

Professional Service

  • IEEE Transactions on Intelligent Vehicles, Associate Editor
  • 2012 IEEE Intelligent Vehicles Symposium (IV’12), Publication Co-Chair
  • 2017 IEEE Intelligent Vehicles Symposium (IV’17), Program Co-Chair
  • 2019 IEEE Intelligent Vehicles Symposium (IV’19), Outreach co-Chair

Courses Taught (Recent 5 Years)

  • Principle of Automatic Control, National Quality Resource Sharing Course
  • Introduction to Automation