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David Lin

chuanenl[at]cs.cmu.edu
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👋 I am a final year Ph.D. student in the CMU School of Computer Science. I work with Professor Nik Martelaro and conducted research at Toyota, Adobe, and Runway.

I build Human + AI tools to augment human creativity and productivity. I work on interaction design and ML modeling to create interactive multimodal systems, coming from my background in HCI and Computer Vision.

My research has been published in top HCI/AI conferences (such as CHI, UIST, DIS, CVPR, NeurIPS), including a CHI best paper honorable mention and several oral presentations. My work with collaborators has been featured by CMU in news and magazine.

Here is 60 seconds of my research as a parody of Apple's 2016 "Don't Blink" commercial.

Publications

CHI '25

Inkspire: Supporting Design Exploration with Generative AI through Analogical Sketching

David Chuan-En Lin, Hyeonsu Kang, Nikolas Martelaro, Aniket Kittur, Yan-Ying Chen, Matthew Hong

We developed a sketching tool that allows designers to sketch product designs with analogical inspirations and AI-generated shadows beneath the canvas.
PaperVideoTalkCite
CHI '25

BioSpark: Beyond Analogical Inspiration to LLM-augmented Transfer

Hyeonsu Kang, David Chuan-En Lin, Yan-Ying Chen, Matthew Hong, Nikolas Martelaro, Aniket Kittur

We developed an interactive system that helps designers discover analogical biology inspirations and transfer them to target domains.
PaperTalkCite
CHI '25 CompUI

Visual Lyrics: Automatic Generation of Animated Lyric Videos

David Chuan-En Lin, Cuong Nguyen, Hijung Valentina Shin, Nikolas Martelaro

We developed a code-driven animated lyrics generation pipeline with a text-based interface for creative control.
PreprintWebpageVideo
IUI '25

NoTeeline: Supporting Real-Time, Personalized Notetaking with LLM-Enhanced Micronotes

Faria Huq, Abdus Samee, David Chuan-En Lin, Xiaodi Alice Tang, Jeffrey Bigham

We built an interactive notetaking tool that lets users write quick keypoints while watching educational videos then automatically expands them into full notes.
PaperVideoCodeCite
CHI '24

Jigsaw: Supporting Designers to Prototype Multimodal Applications by Chaining AI Foundation Models

David Chuan-En Lin, Nikolas Martelaro

We developed a tool for combining AI models across different capabilities and modalities by combining them like puzzle pieces.
WebpagePaperVideoCodeCite
C&C '24

VideoMap: Supporting Video Editing Exploration, Brainstorming, and Prototyping in the Latent Space

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

We developed a proof-of-concept video editing interface that operates on video frames projected onto a latent space.
WebpageC&C PaperNeurIPS PaperVideoCite
C&C '24

Videogenic: Identifying Highlight Moments in Videos with Professional Photographs as a Prior

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

We developed a system for detecting highlight moments by leveraging photographs taken by photographers.
WebpageC&C PaperNeurIPS PaperVideoCite
UIST '23

Soundify: Matching Sound Effects to Video

David Chuan-En Lin, Anastasis Germanidis, Cristóbal Valenzuela, Yining Shi, Nikolas Martelaro

We developed a system to assist video editors in adding content-aware spatial sound effects to video.
WebpageUIST PaperNeurIPS PaperTalkDemoCodeCite
DIS '21

Learning Personal Style from Few Examples

David Chuan-En Lin, Nikolas Martelaro

We developed a model for learning personal graphic design style from a small handful of examples.
WebpagePaperTalkCite
CHI '20

ARchitect: Building Interactive Virtual Experiences from Physical Affordances by Bringing Human-in-the-Loop

Chuan-En Lin*, Ta Ying Cheng*, Xiaojuan Ma(* = equal contribution)

We explored an asymmetric workflow of an AR builder and a VR player for creating VR experiences that incorporate real-world interaction affordances.
WebpagePaperVideoCite
EuroVis '20

SeqDynamics: Visual Analytics for Evaluating Online Problem-solving Dynamics

Meng Xia, Min Xu, Chuan-En Lin, Ta Ying Cheng, Huamin Qu, Xiaojuan Ma

We developed an interactive visual analytics system for instructors to evaluate problem-solving dynamics of student learners.
PaperVideoCite
CVPR '19

Learning to Film from Professional Human Motion Videos

Chong Huang, Chuan-En Lin, Zhenyu Yang, Yan Kong, Peng Chen, Xin Yang, Kwang-Ting Cheng

We developed an automatic drone cinematography system by learning from cinematic drone videos captured by professionals.
PaperVideoCite

Misc. Projects

Last updated on May 2025