Huaijin
name

Huaijin (George) Chen

PhD Student at Rice University

Summary

I'm currently a PhD student at the Electrical and Computer Engineering Department of Rice University, working with Ashok Veeraraghavan. My research lies at the intersection of computer vision and computational photography, where I build imaging system with novel optics and leverage physics-based imagaging model to improve the performance of deep neural network in low-level vision tasks.

From 2015 to 2016, I have been visiting Oliver Cossairt's Group at Northwestern University, and Alyosha Molnar's Group, working with Suren Jayasuriya, at Cornell University. During my undergraduate days, I was fortunate enough to work with James Hays at Brown University, as well as Richard Zanibbi and Jinwei Gu at RIT Center for Imaging Science.

I'm interning at NVIDIA Research this summer (2017) and had great intern experience with IBM Research Austin in 2016. My project at IBM was featured at various media outlets.

I'm partially supported by a Texas Instruments Distinguished Graduate Student Fellowship. Thank you, TI!

Research and Publications

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Compressive holographic video

Zihao Wang, Leonidas Spinoulas, Kuan He, Lei Tian, Oliver Cossairt, Aggelos K. Katsaggelos, and Huaijin G. Chen, Opt. Express 25 (1), 250-262 (2017)

Paper

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ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks using Angle Sensitive Pixels

Huaijin G. Chen*, Suren Jayasuriya*, Jiyue Yang, Judy Stephen, Sriram Sivaramakrishnan, Ashok Veeraraghavan, Alyosha Molnar (* = joint first authors), CVPR 2016 (Oral)

Project Website

Paper

Poster

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FPA-CS: Focal Plane Array-Based Compressive Imaging in Short-Wave Infrared

Huaijin G. Chen, M. Salman Asif, Aswin Sankaranarayanan and Ashok Veeraraghavan, CVPR 2015
ELEC 599 Project Committee: Ashok Veeraraghavan, Richard Baraniuk and Kevin Kelly

Project Website

PDF

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Text Inpainting and Its Application in Video CAPTCHA Text Removal

Undergraduate Thesis, mentored by Richard Zanibbi, at DPRL, RIT Department of Computer Science

Report

Poster

Experience

NVIDIA Research

NVIDIA

Intern, Mobile Visual Computing Lab, May - Aug, 2017
Deep Learning Powered Low-level Vision

Rice University

Rice University

Research Assistant, Ashok Veeraraghavan Lab, Sep 2013 - Present
Deep Learning Powered Computational Photography and Computer Vision

IBM Research - Austin

IBM

Intern, Cognitive System Solutions, May - Aug 2016
MERA: Multi-purpose Eldercare Robot Assistant
Press Coverage: [Austin American-Statesman] [PR News Wire] [IEEE GlobalSpec] [KUOW Seattle Public Radio]

Northwestern University

Northwestern University

Visiting Researcher, Oliver Cossairt Lab, Mar - May 2016
Compressive Spatial-temporal Multiplexing ToF Camera and Video Holography

Cornell University

Cornell

Visiting Researcher, Alyosha Molnar Lab, Sep - Nov 2015
Deep Learning with ASP Sensor

Brown University

Brown University

Undergraduate Research Intern, James Hays Lab, Jun - Sep 2012
Internet-scale Image Geo-localization

Education

Rice University, TX, USA

Rice University

Ph.D, Electrical and Computer Engineering, 2016 - Present
M.S., Electrical and Computer Engineering, 2013 - 2016

Rochester Institute of Technology, NY, USA

RIT

B.S. (High Honors), Imaging Science, 2009 - 2013
Concentration in Music

University of Oxford, UK

Oxford

Visiting Student at St. Catherines's College, Fall 2012
Courses in Music and Computer Science

Shenzhen Experimental School, Guangdong, China

Shenzhen Experimental School

High School Diploma, Jun 2009

Entrepreneurship

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SenseWatch

Created and managed SenseWatch with Rice OwlSpark program at Texas Medical Center Accelerator (TMCx). SenseWatch is a startup focused on utilizing wearable devices for human-computer interaction via gesture recognition and vital sign interpretation.

Musical Works

Geo

Colorspace

by Chen, Huaijin, Hope Cowan and Emma Wine, Live harp and computer music performance, 15th LaTex Electrionic Music Festival, Rice University, Houston, TX Nov 20-21, 2015

Video

Students Advised

Napas Udomsak, B.S. ECE, Rice University 19’, Century Scholar
Yuzhong Huang, B.S. ECE, Franklin W. Olin College of Engineering 18’
Jiyue Yang, B.S. ECE, Cornell University 16’, now at UCLA ECE
Judy Stephen, B.S. ECE, Cornell University 16’
Yixin Chen, B.S. ECE, Rice University 18’

Professional Services

Volunteer Chair, IEEE International Conference on Computational Photography 2016
Reviewer, OSA Applied Optics

Teaching

Lead TA, ELEC/COMP 576 Intro to Deep Learning, Rice University, 2017
TA, ELEC 345/546 Introduction to Computer Vision, Rice University, Spring 2017
Invited Instructor, ELEC 681 Fundamentals of Machine Learning, Rice University, Spring 2016
TA, BIOE 451/452, ELEC 494 Senior Design, Rice University, Fall 2015 - Spring 2016
TA, ELEC 241 Fundamentals of Electrical Engineering I, Rice University, Spring 2014

Curriculum Vitae

PDF

About Me

From 2009 to 2013, I was an undergraduate student at RIT, studying Imaging Science in the Carlson Center for Imaging Science and Management Information System in the Saunders College of Business. I spent the fall semester of my senior year at St. Catz at University of Oxford, UK as a visiting student, taking courses in Computer Graphics and Machine Learning, and studying Analysis of 18th Century Music with Dr. John Traill. I graduated from RIT with a Bachelor's Degree (High Honors) in Imaging Science and a concentration in Music in May 2013.

I lived in the beautiful city of Shenzhen before I came to the United State. Shenzhen Experimental School had been my school for 12 years from elementary school to high school.

In my spare time, I enjoy playing piano, writing wired music, rock climbing, driving and traveling with my camera. I opened a small bar Nakama with my high school roommates in Shenzhen.