I am a second year Ph.D. student at the Human-Computer Interaction Institute in the School of Computer Science at Carnegie Mellon University, working with Dr. Nik Martelaro. I completed my Bachelor's degree in Computer Science with First Class Honors and a full scholarship from HKUST, where I worked with Dr. Xiaojuan Ma and Dr. Kwang-Ting Cheng.

Research Theme

My research interest is building AI-assisted design tools to augment human creativity. Currently, I am building ML-infused video editing tools.

Publications

Soundify: Matching Sound Effects to Video
NeurIPS 2021 Workshop on Machine Learning for Creativity and Design (Oral, Top 6%)
David Chuan-En Lin, Anastasis Germanidis, CristΓ³bal Valenzuela, Yining Shi, and Nikolas Martelaro
We present Soundify, a system that matches sound effects to video, including adaptive panning and volume.
🌐 WebsiteπŸ“„ Paper🎬 Visualization🎬 Results🎬 DemoπŸ“Š Talk

Learning Personal Style from Few Examples
DIS 2021
David Chuan-En Lin and Nikolas Martelaro
We present PseudoClient, a system for modeling personal graphic design style based on a handful of examples.
🌐 WebsiteπŸ“„ Paper🎬 VideoπŸ“Š Talk

SeqDynamics: Visual Analytics for Evaluating Online Problem-solving Dynamics
EuroVis 2020
Meng Xia, Min Xu, Chuan-En Lin, Ta Ying Cheng, Huamin Qu, and Xiaojuan Ma
We present SeqDynamics, a visualization tool for analyzing student problem-solving with multi-scale views.
πŸ“„ Paper
ARchitect: Building Interactive Virtual Experiences from Physical Affordances by Bringing Human-in-the-Loop
CHI 2020
Chuan-En Lin*, Ta Ying Cheng*, and Xiaojuan Ma
We present ARchitect, a workflow for mapping physical objects to virtual proxies with matching interaction affordances.
🌐 WebsiteπŸ“„ Paper🎬 Video
* equal contribution
Learning to Film from Professional Human Motion Videos
CVPR 2019
Chong Huang, Chuan-En Lin, Zhenyu Yang, Yan Kong, Peng Chen, Xin Yang, and Kwang-Ting Cheng
We present an imitation learning system for autonomous drone videography.
πŸ“„ Paper🎬 Video