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Zhiding Yu  (禹之鼎)

Senior Research Scientist
Machine Learning Research Group, NVIDIA Research
2788 San Tomas Expressway, Santa Clara, CA 95051

Email: zhidingy AT nvidia.com
[GitHub]   [Google Scholar]   [Twitter]   [LinkedIn]

About Me

I am a senior research scientist at the Machine Learning Research Group, NVIDIA Research. Before joining NVIDIA in 2018, I obtained Ph.D. in ECE from Carnegie Mellon University in 2017, and M.Phil. in ECE from The Hong Kong University of Science and Technology in 2012. I graduated with a bachelor's degree from the Union Class of Electrical Engineering (FENG Bingquan Pilot Class), South China University of Technology in 2008.

My current research interests mainly focus on deep representation learning, weakly/semi-supervised learning, transfer learning and deep structured prediction, with their applications to vision and robotics problems. I am broadly interested in: (1) general scene and video understanding, (2) bottom-up grouping and mid-level representation, (3) robust representation for cross-domain/cross-task/open set generalization and adaptation, (4) lifelong learning with interactive/weak/self-supervisions. My research goal is to is to leverage the abundant domain knowledge, priors and structured information to eliminate uncertainties with minimum human supervision and uncover the secret towards true visual intelligence.

I am a winner of the Domain Adaptation for Semantic Segmentation Track, WAD Challenge@CVPR18. I received the Best Paper Award at WACV15, and was twice awarded the HKTIIT Post-Graduate Excellence Scholarships in 2010 and 2012.

Education Background

Ph.D., Carnegie Mellon University
Electrical and Computer Engineering
Advisor: Prof. Vijayakumar Bhagavatula

2012 - Present

M.Phil., The Hong Kong University of Science and Technology
Electronic and Computer Engineering
Advisor: Prof. Oscar C. Au

2009 - 2012

B.Eng., South China University of Technology
Information Engineering
Talented Student Program (Union Class of Electrical Eng)

2005 - 2008

Intern Experience

Research Intern, Mitsubishi Electric Research Laboratories (MERL)
Computer Vision Group
Mentor: Srikumar Ramalingam

2016.07 - 2016.10

Research Intern, Microsoft Research (Redmond, WA)
Multimedia, Interaction, and Communication (MIC) Group
Mentor: Cha Zhang

2015.06 - 2015.08

Research Intern, Adobe Research (San Jose, CA)
Computer Vision Group
Mentor: Gregg Wilensky

2013.06 - 2013.08

 

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