Yue Wu

Yue Wu

Ph.D student

  • Email: wuyuesophia@gmail.com
  • Address: JEC 6219, Rensselaer Polytechnic Institute, Troy, NY, USA
I successfully defended my dissertation on Nov. 15, 2016.

I was a Ph.D student at the Department of Electrical, Computer, and System Engineering, at Rensselaer Polytechnic Institute. My advisor was Prof. Qiang Ji. I successfully defended my dissertation on Nov. 15, 2016. I also got M.S. in Applied Mathematics as a second degree. I will be joining Tesla Autopilot group as a computer vision research scientist.

My research interests are machine learning and computer vision:

  • Probabilistic Graphical Models
  • Deep Learning, Restricted Boltzmann Machines
  • Facial feature point detection and tracking
  • Facial expression analysis and facial behaviour analysis
  • Head pose estimation
  • Eye detection
  • Honors and Awards

    • RPI Founders Award of Excellence, 2016

    • IBM Ph.D Fellowship, Sep. 2015 - May. 2016

    • Travel Awards, CVPR 2015

    • Travel Awards, ICPR 2014

    Professional Experiences

    • IBM T.J. Watson Research Center, Yorktown Heights, NY, USA.
      Intern, Intelligent Information Systems group
      May. 2015 - Aug. 2015.

    • Daimler AG, Ulm, Germany.
      Part-time working student
      Nov. 2009 - Mar. 2010



    • Chao Gou, Yue Wu, Kang Wang, Kunfeng Wang, Fei-Yue Wang and Qiang Ji, "A Joint Cascaded Framework for Simultaneous Eye Detection and Eye State Estimation", Pattern Recognition, 2016 (accepted).

    • Shangfei Wang, Shan He, Yue Wu, Menghua He, Qiang Ji, "Fusion of visible and thermal images for facial expression recognition", Frontiers of Computer Science, 8(2), pp 232-242, 2014.

    Conference Proceedings:


    Guest reviewer, Pattern Recognition and Machine Intelligence.
    Guest reviewer, International Journal of Computer Vision.
    Guest reviewer, Pattern Recognition.
    Guest reviewer, Journal of Image and Vision Computing.
    Guest reviewer, Machine Vision and Applications.
    Guest reviewer, IEEE Transactions on Neural Networks and Learning Systems.

    Other Resources

    • Demo: Facial landmark tracking, expression recognition, and head pose estimation.

    • Demo: Driver facial tracking and facial behavior analysis.

    • Demo: Robot facial animation.

    • Demo: Real time head pose and eye gaze tracking.