Yukun Chen

Yukun Chen (陈昱坤)
Research Scientist @ Facebook
Email: cykustc (at) gmail.edu
Address: 1 Hacker Way
Menlo Park, CA, 94025

Biography

Currently, I work as a research scientist at Facebook. I graduated with Ph.D. from College of Information Sciences and Technology (with minor in statistics), The Pennsylvania State University in May 2020. I have been advised by Prof. James Z. Wang and Prof. Jia Li at IIS research lab. My research interests mostly lie in computer vision, multimedia and machine learning. Before that, I received my B.Sc. degree in Applied Physics from University of Science and Technology of China in June 2014.

Software Engineering Intern at Facebook, (Mentored by Minghai Chen) Summer 2019
Software Engineering Intern at Facebook, (Mentored by Satish Chandra and Swarat Chaudhuri) Summer 2018
Software Engineering Intern at Google, (Mentored by Hongbo Deng and Xuanhui Wang) Summer 2017
Teaching Assistant for DS340W Applied Data Sciences, Spring 2018 (Taught by Prof. James Z. Wang and Prof. Jia Li)
Teaching Assistant for IST816 Web Fundamentals, Fall 2015 (Taught by Prof. Jim Jensen)
Research Assistant, The Intelligent Information Systems Research Lab, IST@PSU, Sept 2014-Present
Grading Assistant for IST230 Discrete Mathematics, Fall 2014 (Taught by Prof. James Z. Wang)
Research Assistant, Department of Physics, Oxford University, supervised by Prof. Radu Coldea June 2013-Sept 2013
Research Assistant, Institute of Physics, Chinese Academy of Science, July 2012

AI-PLAX: AI-based Placental Assessment and Examination using Photos
Yukun Chen, Zhuomin Zhang, Chenyan Wu, Dolzodmaa Davaasuren, Jeffery A. Goldstein, Alison D. Gernand and James Z. Wang.
Computerized Medical Imaging and Graphics, 2020 (accepted)

MEBOW: Monocular Estimation of Body Orientation In the Wild
Chenyan Wu, Yukun Chen, Jiajia Luo, Che-Chun Su, Anuja Dawane, Bikramjot Hanzra, Zhuo Deng, Bilan Liu, James Z. Wang and Cheng-hao Kuo.
CVPR 2020 (poster)

AI-based Rapid Placental Assessment Tool.
Alison D. Gernand, Jeffery A. Goldstein, W. Tony Parks, Yukun Chen, Zhuomin Zhang, Dolzodmaa Davaasuren, Chenyan Wu, Celeste Beck, Leigh Taylor and James Z. Wang.
Placenta, vol. 83, pp. e84-e85, 2019. (Presented at the International Federation of Placenta Associations Meeting, Buenos Aires, Argentina, September 2019)

Aggregated Wasserstein Distance and State Registration for Hidden Markov Models.
[an outdated arxiv version]
Yukun Chen, Jianbo Ye, Jia Li.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 (accepted)

Detecting Comma-shaped Clouds for Severe Weather Forecasting using Shape and Motion
[pdf], [Press coverage: phys.org ScienceDaily]
Xinye Zheng, Jianbo Ye, Yukun Chen, Stephen Wistar, Jia Li, Jose A. Piedra-Fernandez, Michael A. Steinberg and James Z. Wang.
IEEE Transactions on Geoscience and Remote Sensing, 2019

Fall 2016 Algorithm Design and Analysis (Taught by Prof. Sofya Raskhodnikova)
Spring 2016 Numerical Optimization Techniques (Taught by Prof. Barlow Jesse Louis)
Spring 2016 Statistical Inference (Taught by Prof. Bing Li)
Spring 2016 Operating System (Taught by Prof. Trent Jaeger)
Fall 2015 Machine Learning: Tools and Algorithms (Taught by Prof. Dan Kifer)
Fall 2015 Deep-learning for Pattern Discovery (Taught by Prof. Yanxi Liu)
Fall 2015 Principles of Artificial Intelligence (Taught by Prof. Honavar, Vasant Gajanan)
Fall 2015 Statistical Computing (Taught by Prof. Murali Haran)
Spring 2015 Stochastic Process and Monte Carlo (Taught by Prof. Murali Haran)
Spring 2015 Foundations of Human Centered Design (Taught by Prof. John M. Carroll)
Spring 2015 Computational Informatics (Taught by Prof. John Yen)
Fall 2014 Data Mining (Taught by Prof. Jia Li)
Fall 2014 Foundations of Social Informatics
Fall 2014 Information Science Research Methods