Yan Wang, PhD

王言

Software Engineer, Microsoft

Email:
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Biography

Yan Wang got his PhD degree in Oct. 2015, under supervision of Prof. Shih-Fu Chang. He had rich internship 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.


Publications

  1. Yan Zhang, Rongrong Ji, Xiaopeng Fan, Yan Wang, Feng Guo, Yue Gao, Debin Zhao, "Search-based Depth Estimation via Coupled Dictionary Learning with Large-Margin Structure Inference," European Conference on Computer Vision (ECCV), 2016. [BibTeX] [Full text] [Poster]
  2. Yinxiao Li, Yan Wang, Yonghao Yue, Danfei Xu, Michael Case, Shih-Fu Chang, Eitan Grinspun, Peter Allen, Model-Driven Feed-Forward Prediction for Manipulation of Deformable Objects, arXiv:1607.04411. [Full text]
  3. Yan Wang, Sunghyun Cho, Jue Wang, and Shih-Fu Chang, "PanoSwarm: Collaborative and Synchronized Multi-Device Panoramic Photography," ACM International Conference on Intelligent User Interfaces (IUI), 2016. [BibTeX] [Full text] [Video]
  4. Jie Feng, Yan Wang, Shih-Fu Chang. "3D Shape Retrieval using a Single Depth Image from Low-cost Sensors," IEEE Winter Conference on Applications of Computer Vision (WACV), 2016. [BibTeX] [Full text] [Video]
  5. Yinxiao Li, Danfei Xu, Yonghao Yue, Yan Wang, Shih-Fu Chang, Eitan Grinspun, and Peter K. Allen, "Regrasping and Unfolding of Garments Using Predictive Thin Shell Modeling," IEEE International Conference on Robotics and Automation (ICRA), May 2015 [BibTeX] [Full text] [Video]
  6. Yan Wang, Jie Feng, Zhixiang Wu, Jun Wang, and Shih-Fu Chang, "From Low-Cost Depth Sensors to CAD: Cross-Domain 3D Shape Retrieval via Regression Tree Fields," European Conference on Computer Vision (ECCV), 2014. [BibTeX] [Full text] [Video]
  7. Yan Wang, Sunghyun Cho, Jue Wang, and Shih-Fu Chang, "Discriminative Indexing for Probabilistic Image Patch Priors," European Conference on Computer Vision (ECCV), 2014. [BibTeX] [Full text]
  8. Yinxiao Li*, Yan Wang*, Michael Case, Shih-Fu Chang, and Peter K. Allen, "Real-time Pose Estimation of Deformable Objects Using a Volumetric Approach," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 2014. (* indicates equal contribution) [BibTeX] [Full text] [Video] [Code]
  9. Yan Wang, Rongrong Ji, and Shih-Fu Chang, "Label Propagation from ImageNet to 3D Point Clouds," IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2013. [BibTeX] [Full text]
  10. Yan Wang, Tao Mei, and Xian-Sheng Hua, "Community Discovery from Movie and Its Application to Poster Generation," International Conference on MultiMedia Modeling (MMM), 2011. [BibTeX] [Full text]
  11. Yan Wang, Tao Mei, Jingdong Wang, and Xian-Sheng Hua, "Dynamic Video Collage," International Conference on MultiMedia Modeling (MMM), 2010. [BibTeX] [Full text]

Professional Services

  • Reviewer of IEEE Transactions on Image Processing (TIP)
  • Reviewer of IEEE Transactions on Multimedia (TMM)
  • Reviewer of Computer Vision and Image Understanding (CVIU)
  • Reviewer of Journal of Visual Communication and Image Representation (JVCI)
  • Reviewer of Applied Mathematics and Computation
  • Reviewer of Pattern Recognition
  • Reviewer of International Journal of Computer Games Technology
  • Reviewer of Science of Programming
  • Reviewer of Acta Astronautica
  • Reviewer of PLOS ONE Journal
  • PC Member of AAAI Conference on Artificial Intelligence (AAAI), 2017
  • PC Member of CCF Conference on Natural Language Processing and Chinese Computing (NLPCC), 2015
  • PC Member of ACM Symposium on User Interface Software and Technology (UIST), 2014
  • PC Member of ACM Multimedia, 2012, 2014
  • PC Member of International Conference on Multimedia and Expo (ICME), 2013, 2014, 2015, 2016, 2017
  • PC Member of International Conference on Multimedia Retrieval (ICMR), 2015, 2016
  • PC Member of Pacific Graphics, 2013, 2015
  • PC Member of Pacific-Rim Conference on Multimedia, 2011

Activities

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

Courses

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

Demos

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].


*Last updated on March 2015.