I am a PhD candidate at University of Michigan. My research aims to leverage human computation and machine intelligence to effectively solve complex tasks that require domain expertise, such as software development. I study problems that users face during collaboration with existing tools and methods, and build computational systems to assist users via efficient collaboration and hybrid crowd-machine workflow. My advisor is Dr. Steve Oney.


April, 2020
Two VL/HCC papers got accepted
April, 2020
I passed my proposal

Selected Publications

Yan Chen, Jaylin Herskovitz, Walter S. Lasecki, Steve Oney. A Hybrid Crowd-Machine Workflow for Program Synthesis. IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 2020.

Bashon introduces a crowdsourcing approach to help make program synthesis systems more robust, reliable, and trustworthy, and reduces the cost of downstream data collection for training a program synthesis system.

Yan Chen, Jaylin Herskovitz, Gabriel Matute, April Wang, Sang Won Lee, Walter S. Lasecki, Steve Oney. EdCode: Towards Personalized Support at Scale for Remote Assistance in CS Education. IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), short paper, 2020.

EdCode applies a semi-asychronous on-demand help seeking model in a learning setting, aiming towards provide more personalized support at scale.

Yan Chen, Andrés Monroy-Hernández, Ian Wehrman, Steve Oney, Walter S. Lasecki, Rajan Vaish. Sifter: A Hybrid Workflow for Theme-based Video Curation at Scale. ACM Conference on Interactive Media Experiences (IMX), 2020.

Sifter improves the video curation process by combining automated techniques with a human-powered two-stage pipeline that browses, selects, and reaches an agreement.

Yan Chen, Maulishree Pandey, Jean Y. Song, Walter S. Lasecki, Steve Oney. Improving Crowd-Supported GUI Testing with Structural Guidance. ACM Conference on Human Factors in Computing Systems (CHI), 2020.

Two techniques, interactive event-flow graphs and GUI-level guidance, that guide GUI testers to discover more test cases and avoid duplicate test cases.

Yan Chen, Sang Won Lee, Yin Xie, YiWei Yang, Walter Lasecki, and Steve Oney. Codeon: On-Demand Software Development Assistance. ACM Conference on Human Factors in Computing Systems (CHI), 2017.
[pdf | full video | 30s preview | BibTeX ]

CodeOn enables effective task hand-offs between developers and remote helpers by allowing asynchronous responses to on-demand requests.

Yan Chen, Steve Oney and Walter Lasecki. Towards Providing On-Demand Expert Support for Software Developers. ACM Conference on Human Factors in Computing Systems (CHI), 2016.
[pdf | ACM DL | 30s preview | talk | BibTeX ]

Two studies that present the opportunities and the design recommendations of on-demand remote support systems for developers.

Other Peer-Reviewed Publications

Sang Lee, Yan Chen, and Walter S. Lasecki.
Sang Lee, Yan Chen, Noah Klugman, Sai R. Gouravajhala, Angela Chen, and Walter S. Lasecki.
CHI LBW 2017
Yan Chen, Steve Oney and Walter Lasecki.
Collective Intelligence 2016. Oral Presentation.
pdf ·  BibTeX
Esther Vasiete, Yan Chen, Ian Char, Tom Yeh, Vishal Patel, Larry Davis, and Rama Chellappa.
Mobile HCI Poster 2014
pdf ·  ACM DL
Vishal Patel, Tom Yeh, M Salem, Yangmuzi Zhang, Yan Chen, Rama Chellappa, Larry Davis.
IT Professional 2013
pdf ·  IEEE
Yan Chen, Harvey Segur
Proceedings of the Royal Society of London. Series A, Mathematical and Physical Sciences.