Please visit the new website: chuanenlin.com

I am a third year Ph.D. student at the Human-Computer Interaction Institute in the School of Computer Science at Carnegie Mellon University, where I am advised by Professor Nik Martelaro. I completed my Bachelor's degree in Computer Science with First Class Honors and a full scholarship from HKUST, where I was advised by Professor Xiaojuan Ma and Professor Kwang-Ting Cheng. I also spent two wonderful internships at Adobe Research, where I was mentored by Fabian Caba Heilbron, Oliver Wang, and Joon-Young Lee, and Runway, where I was mentored by Anastasis Germanidis and Cristóbal Valenzuela. During my free time, I enjoy filming travel videos and listening to Avicii music.

Research Interests

My research interest is in building AI-assisted design tools to augment human creativity. Specifically, I am passionate about exploring how we can harness the knowledge within Large Language Models (LLMs) to support creative tasks. Currently, I am building a variety of LLM-infused video editing tools to support video editors in various editing tasks, such as adding sounds to video, uncovering highlight moments, organizing video assets, and more.

Publications

VideoMap: Video Editing in Latent Space

NeurIPS 2022 Workshop on Machine Learning for Creativity and Design

David Chuan-En Lin, Fabian Caba Heilbron, Joon-Young Lee, Oliver Wang, and Nikolas Martelaro

VideoMap is a proof-of-concept interface for video editing in the latent space.

🌐 Preliminary website📄 Preprint

Videogenic: Video Highlights via Photogenic Moments

NeurIPS 2022 Workshop on Machine Learning for Creativity and Design

David Chuan-En Lin, Fabian Caba Heilbron, Joon-Young Lee, Oliver Wang, and Nikolas Martelaro

Videogenic is a system for uncovering highlight moments within videos.

🌐 Preliminary website📄 Preprint

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, Cristóbal Valenzuela, Yining Shi, and Nikolas Martelaro

Soundify is a system for matching spatial sound effects to video.

🌐 Website📄 Paper🎬 Visualization🎬 Results🎬 Demo📊 Talk

Learning Personal Style from Few Examples

DIS 2021

David Chuan-En Lin and Nikolas Martelaro

PseudoClient is a system for modeling personal graphic design style based on a handful of examples.

🌐 Website📄 Paper🎬 Video📊 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

SeqDynamics is a visualization tool for analyzing student problem-solving with multi-scale views.

📄 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

ARchitect is a workflow for mapping physical objects to virtual proxies with matching interaction affordances.

🌐 Website📄 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

An imitation learning system for autonomous drone filming.

📄 Paper🎬 Video