Hi there! 👋

I am a final year CS Ph.D. student at CMU. I work with Professor Nik Martelaro and also with Toyota. Previously, I did research at Adobe and Runway.

Research Interest

My research interest is in developing human-AI design tools to help designers co-create with AI. I work on interaction design and build ML pipelines to create interactive, AI-infused systems that augment designers' creativity and productivity.

I primarily publish in HCI conferences (CHI, UIST, DIS) and relevant AI venues (CVPR, NeurIPS), with a CHI best paper honorable mention and features by CMU in news and magazine.

Watch a 1-minute overview of my research (parody of 2016 Apple commercial).

Research Papers

Inkspire: Supporting Design Exploration with Generative AI through Analogical Sketching

CHI '25

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.

Paper Video Talk Cite

Visual Lyrics: Automatic Generation of Animated Lyric Videos

Preprint

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.

Preprint Webpage Video

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

CHI '24

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.

Webpage Paper Video Code Cite

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

C&C '24

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.

Webpage C&C Paper NeurIPS Paper Video Cite

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

C&C '24

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.

Webpage C&C Paper NeurIPS Paper Video Cite

Soundify: Matching Sound Effects to Video

UIST '23

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.

Webpage UIST Paper NeurIPS Paper Talk Demo Code Cite

Learning Personal Style from Few Examples

DIS '21

David Chuan-En Lin, Nikolas Martelaro

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

Webpage Paper Talk Cite

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

CHI '20

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.

Webpage Paper Video Cite

Co-authored Papers

BioSpark: Beyond Analogical Inspiration to LLM-augmented Transfer

CHI '25

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.

Paper Talk Cite

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

IUI '25

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.

Paper Video Code Cite

Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition

BMVC '25

Chun-Hsiao Yeh, Ta-Ying Cheng, He-Yen Hsieh, Chuan-En Lin, Yi Ma, Andrew Markham, Niki Trigoni, H.T. Kung, Yubei Chen

We developed a pipeline and dataset for benchmarking multi-concept personalized text-to-image diffusion models.

Webpage Paper Video Code Cite

SeqDynamics: Visual Analytics for Evaluating Online Problem-solving Dynamics

EuroVis '20

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.

Paper Video Cite

Learning to Film from Professional Human Motion Videos

CVPR '19

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.

Paper Video Cite

Fun Projects

Last updated on August 2025