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Xinchen Yan
严欣辰 (My name in Korean: 엄흔진)
PhD Candidate
Room 3944, Beyster Building
2260 Hayward Street, Ann Arbor, MI 48109
Email: skywalkeryxc [at] gmail [dot] com (primary)
           xcyan [at] umich [dot] edu




@CVPR'15 (Boston), June. 2015

About
I am Xinchen Yan, fourth-year PhD student in CSE Department, UM, Ann Arbor. My advisor is Professor Honglak Lee. I obtained my bachelor's degree in Computer Science from Shanghai Jiao Tong University (ACM Honored Class 交大ACM班) in 2014.

My research interest includes machine learning and its application in computer vision, graphics and robotics.

In the past, I worked as a research intern at Adobe Research (Summer 2017) and Google (Fall 2016 & Winter 2017). During my internship at Google Brain team, I collaborated with researchers at Brain and X Robotics on Deep Geometry-aware Grasping. Prior to my PhD studies, I visited Rapid-Rich Object Search (ROSE) Lab at Nanyang Technological University (Singapore) in 2014, advised by Professor Junsong Yuan. I also worked on several research projects during my undergrad in MOE-MSR Joint Key Lab of Intelligence Computing (BCMI Lab), advised by Professor Liqing Zhang


News
* 01/2018: One paper is accepted to ICRA 2018. Please check out our project page.
* 07/2017: Check out TensorFlow implementation of our NIPS 2016 paper on Github.
* 12/2016: Check out Torch implementation of our NIPS 2016 paper (unsupervised learning of 3D shape generation) on Github.
* 10/2016: Check out Torch implementation of our ECCV 2016 paper (conditional image generation) on GitHub.

Education & Research Experience (full in Mandarin)
(06/2017 -- 09/2017) Research Intern@Adobe Systems Inc, San Jose
(11/2016 -- 06/2017) Research Intern@Google Brain, Mountain View
(08/2014 -- current) PhD Candidate@University of Michigan, Ann Arbor

Professional Activities
* Conference Reviewer
     - NIPS 2016, NIPS 2017, NIPS 2018
     - ICML 2018
     - ICLR 2018
     - CoRL 2018
* Journal Reviewer
    - IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
    - IEEE Transactions on Image Processing (TIP)

Publications
* Learning 6-DOF Grasping Interaction via Deep Geometry-aware 3D Representations
Xinchen YanJasmine Hsu, Mohi Khansari, Yunfei Bai, Arkanath Pathak, Abhinav Gupta, James Davidson, Honglak Lee
To appear in Proceedings of International Conference on Robotics and Automation (ICRA)Brisbane, Australia, 2018

* Deep Variational Canonical Correlation Analysis
Weiran Wang, Xinchen Yan, Honglak Lee, Karen Livescu
Technical Report [arxiv]
TensorFlow Implementation: [code]

Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision
Xinchen Yan, Jimei Yang, Ersin Yumer, Yijie Guo, Honglak Lee
In Advances in Neural Information Processing Systems (NIPS), Barcelona, Spain, 2016
Torch Implementation: [data][code]
TensorFlow Implementation: [code]
Note, if you want to use your own camera matrix, please refer to the section "using your own camera" here.

* Generative Adversarial Text-to-Image Synthesis
Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, Honglak Lee
In Proceedings of the 33rd International Conference on Machine Learning (ICML), New York, USA, 2016
Torch Implementation: [code]

* Attribute2Image: Conditional Image Generation from Visual Attributes
Xinchen Yan, Jimei Yang, Kihyuk Sohn, Honglak Lee
In European Conference on Computer Vision (ECCV), Amsterdam, The Netherlands, 2016
Torch Implementation: [code]

* Learning Structured Output Representation using Deep Conditional Generative Models
Kihyuk Sohn, Xinchen Yan, Honglak Lee
In Advances in Neural Information Processing Systems (NIPS), Montreal, Canada, 2015. 

* A Unified Framework for Automatic Wound Segmentation and Analysis with Deep Convolutional Neural Networks
Changhan Wang, Xinchen Yan, Max Smith, Kanika Kochhar, Marcie Rubin, Stephen M. Warren, James Wrobel, Honglak Lee
In 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy, 2015.
 

* Efficient Online Spatio-Temporal Filtering for Video Event Detection
Xinchen Yan, Junsong Yuan, Hui Liang, Liqing Zhang
In ECCV Workshop on Video Event Categorization, Tagging and Retrieval towards Big Data (VECTaR 2014), Zurich, Switzerland, 2014.
C++/MATLAB Implementation: [code]

Teaching Experience
(09/2011 - 01/2012) Teaching Assistant of C++ Programming (Fall 2011)
(03/2012 - 06/2012) Teaching Assistant of Data Structures (Spring 2012)
(09/2012 - 12/2012) Assistant Lecturer of Math Foundations in Computer Science (Fall 2012)

Honors & Awards
(04/2018) Google PhD Fellowship in Machine Learning (8 selected world-wide)
(12/2017) Adobe Research Fellowship (10 selected in USA)
(12/2012) Academic Excellence Scholarship (Second-class) of Shanghai Jiao Tong University in Year 2011-2012
(12/2011) Academic Excellence Scholarship (Second-class) of Shanghai Jiao Tong University in Year 2010-2011
(Year 2008, 2009, & 2010) First Prizes in National Olympiad in Informatics in Provinces
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Xinchen Yan,
Jul 31, 2014, 2:27 AM
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Xinchen Yan,
Jul 31, 2014, 1:48 AM
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