Zhiding Yu 禹之鼎
5000 Forbes Ave, Pittsburgh, PA 15213
Email: yzhiding AT andrew.cmu.edu
I am currently a Fifth-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 EE, South China University of Technology in 2008.
My current research interests mainly focus on discriminative feature learning and structured prediction, with their applications to holistic scene understanding and autonomous driving. I'm also interested in machine learning problems related to spectral clustering and graph density estimation.
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 the committee member of VALSE Online Director Board (VODB) and VALSE Online Organization Committee (VOOC), 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, Computer Vision Group,
Mitsubish Electric Research Lab
Jul. 2016 - Nov. 2016
Mentor: Ming-Yu Liu
Research Intern, MIX (Previously MIC)
Group, Microsoft Research
May. 2015 - Aug. 2015
Mentor: Cha Zhang
Research Intern, Computer Vision Group, Adobe
Research. Jun. 2013 - Aug. 2013
Mentor: Gregg Wilensky
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