Yes as you may expect on any academic homepage, this photo was taken 5+ years ago. |
Yan Wang, PhD
Senior Applied Scientist, Microsoft
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Yan Wang got his PhD degree in Oct. 2015, under supervision of Prof. Shih-Fu Chang. He had rich R&D experience in Adobe Research, Microsoft Research, and Facebook, with his algorithms integrated in Facebook Graph Search and Adobe Photoshop, and granted patents. He held the Olympic Torch of Beijing Olympic Games as a torchbearer in 2008, won the Tech Draft (a nation-wide programming challenge) in 2014, and is a certified airplane pilot. His current research interests include computer vision and machine learning, especially data-driven approaches for 3D data.
2014 | Winner of Tech Draft (an NFL-Draft-like nationwide programming challenge) |
2014 | Research Intern, Creative Technologies Lab, Adobe, Seattle, WA. |
2014 | Research Intern, Natural Interactions Group, Microsoft Research, Redmond, WA. |
2013 | Research Intern, Creative Technologies Lab, Adobe, Seattle, WA. |
2012 | Intern, Entities Team, Facebook, Menlo Park, CA. |
2010 | Research Intern, Media Computing Group, Microsoft Research Asia, Beijing, China |
2009 | Research Intern, Media Computing Group, Microsoft Research Asia, Beijing, China |
2008 | Torchbearer for Beijing Olympic Games, Hefei, China |
2013 Spring | Computer Vision / Machine Learning on Mobile Platforms. Instructor: Prof. Peter Belhumeur |
2013 Spring | Academic Writing. Instructor: Prof. Janet Kayfetz |
2013 Spring | Lean Launchpad. Instructor: Steve Blank |
2012 Fall | From Data to Solutions. Instructor: Prof. Julia Hirschberg, and Prof. Shih-Fu Chang |
2012 Fall | Sparse Representation and High Dimensional Geometry. Instructor: Prof. John Wright |
2012 Spring | Convex Optimization. Instructor: Prof. Garud Iyengar |
2011 Fall | Optimization I. Instructor: Prof. Donald Goldfarb |
2011 Fall | Data Mining. Instructor: Prof. Chris Volinsky |
2011 Spring | Visual Search Engine. Instructor: Prof. Shih-Fu Chang |
2011 Spring | Machine Learning. Instructor: Prof. Tony Jebara |
2011 Spring | Dealing with Massive Data (Auditing). Instructor: Prof. Sergei Vassilvitskii |
2010 Fall | Advanced Machine Learning. Instructor: Prof. Tony Jebara |
2010 Fall | Digital Signal Processing. Instructor: Prof. Dan Ellis |
With more than 20 years' programming experiences, including those in Facebook, Microsoft, and Adobe, and the still ongoing PhD education, I am super interested in pushing things looking impossible to the reality, thus bring values to the users and profits to the company. As a PhD student, I'm learning how to choose "good" topics and how to tackle very hard problems with fast learning and experiment-supported logics, while also being able to use 20+ programming languages/platforms to actually get things done.
For my demos, please visit [Turn on javascirpt to check the link].