Zhiding Yu 禹之鼎
5000 Forbes Ave, Pittsburgh, PA 15213
Email: yzhiding AT andrew.cmu.edu
I am currently a 3rd-Year Ph.D. candidate at the Department of Electrical and Computer Engineering, Carnegie Mellon University. Before that I obtained the M.Phil. degree from The Hong Kong University of Science and Technology in 2012. I graduated from the Elite Class of Electrical Eng., South China University of Technology in 2008.
My current research interests mainly focus on graphical models and mid-level discriminative element learning, with their applications to image parsing, scene understanding and autonomous driving. I'm also interested in machine learning problems related to spectral clustering, graphical density estimation and mode seeking.
I am the awardee of the 2009-2010/2011-2012 HKTIIT Post-Graduate Excellence Scholarships and Carnegie Institute of Technology Dean's Tuition Fellowship.
I am a member of the VALSE Online Organization Committee (VOOC) and the moderator of VALSE QQ Group, an elite academic discussion platform with many famous Chinese researchers and promising students in computer vision / machine learning. The group regularly holds paper reading webinars / invited talks on a weekly basis.
Ph.D., Electrical and Computer Eng.,
Carnegie Mellon University 2012 - Present
Advisor: Prof. Vijayakumar Bhagavatula
M.Phil., Elec. and Computer
Eng., The Hong Kong Univ. of Sci. and Tech. 2009 - 2012
Advisor: Prof. Oscar C. Au
B. Eng., Info. Eng. (Talented Student Program), South China Univ. of Tech. 2005 - 2008
Research Intern, MIX (Previously MIC)
Group, Microsoft Research
May. 2015 - Aug. 2015
Mentor: Cha Zhang
Research Intern, Computer Vision Group, Adobe Systems Inc. Jun. 2013 - Aug. 2013
Mentor: Gregg Wilensky, Brian Price, Scott Cohen, Walter Chang
Visiting Student, Robotics Institute,
Carnegie Mellon University Aug.
2011 - Apr. 2012
Advisor: Prof. Fernando De la Torre
Research Intern, Multimedia Lab, Shenzhen
Institutes of Adv. Tech.
Nov. 2010 - Aug. 2011
Advisor: Dr. Chunjing Xu, Prof. Jianzhuang Liu
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