Learning to Film From Professional Human Motion Videos. - Chong Huang; Chuan-En Lin; Zhenyu Yang; Yan Kong; Peng Chen 008; Xin Yang 008; Kwang-Ting Cheng (CVPR, 2019)

ARchitect: Building Interactive Virtual Experiences from Physical Affordances by Bringing Human-in-the-Loop. - Chuan-En Lin; Ta Ying Cheng; Xiaojuan Ma (CHI, 2020)

SeqDynamics: Visual Analytics for Evaluating Online Problem-solving Dynamics. - Meng Xia 002; Min Xu; Chuan-En Lin; Ta Ying Cheng; Huamin Qu; Xiaojuan Ma (Comput. Graph. Forum, 2020)

Learning Personal Style from Few Examples. - David Chuan-En Lin; Nikolas Martelaro (Conference on Designing Interactive Systems, 2021)

VideoMap: Video Editing in Latent Space. - David Chuan-En Lin; Fabian Caba Heilbron; Joon-Young Lee; Oliver Wang; Nikolas Martelaro (CoRR, 2022)

Videogenic: Video Highlights via Photogenic Moments. - David Chuan-En Lin; Fabian Caba Heilbron; Joon-Young Lee; Oliver Wang; Nikolas Martelaro (CoRR, 2022)

Soundify: Matching Sound Effects to Video. - David Chuan-En Lin; Anastasis Germanidis; Cristóbal Valenzuela; Yining Shi; Nikolas Martelaro (UIST, 2023)

Jigsaw: Supporting Designers in Prototyping Multimodal Applications by Assembling AI Foundation Models. - David Chuan-En Lin; Nikolas Martelaro (CoRR, 2023)

What Do I Hear? Generating Sounds for Visuals with ChatGPT. - David Chuan-En Lin; Nikolas Martelaro (CoRR, 2023)

VideoMap: Supporting Video Exploration, Brainstorming, and Prototyping in the Latent Space. - David Chuan-En Lin; Fabian Caba Heilbron; Joon-Young Lee; Oliver Wang; Nikolas Martelaro (Creativity & Cognition, 2024)

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 (Creativity & Cognition, 2024)

BioSpark: An End-to-End Generative System for Biological-Analogical Inspirations and Ideation. - Hyeonsu B. Kang; David Chuan-En Lin; Nikolas Martelaro; Aniket Kittur; Yan-Ying Chen; Matthew K. Hong (CHI Extended Abstracts, 2024)

Jigsaw: Supporting Designers to Prototype Multimodal Applications by Chaining AI Foundation Models. - David Chuan-En Lin; Nikolas Martelaro (CHI, 2024)

Inkspire: Sketching Product Designs with AI. - David Chuan-En Lin; Hyeonsu B. Kang; Nikolas Martelaro; Aniket Kittur; Yan-Ying Chen; Matthew K. Hong (UIST (Adjunct Volume), 2024)

Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition. - Chun-Hsiao Yeh; Ta Ying Cheng; He-Yen Hsieh; Chuan-En Lin; Yi Ma 001; Andrew Markham; Niki Trigoni; Hsiang-Tsung Kung 001; Yubei Chen (CoRR, 2024)

NoTeeline: Supporting Real-Time Notetaking from Keypoints with Large Language Models. - Faria Huq; Abdus Samee; David Chuan-En Lin; Alice Xiaodi Tang; Jeffrey P. Bigham (CoRR, 2024)

BioSpark: Beyond Analogical Inspiration to LLM-augmented Transfer. - Hyeonsu B. Kang; David Chuan-En Lin; Yan-Ying Chen; Matthew K. Hong; Nikolas Martelaro; Aniket Kittur (CHI, 2025)

Inkspire: Supporting Design Exploration with Generative AI through Analogical Sketching. - David Chuan-En Lin; Hyeonsu B. Kang; Nikolas Martelaro; Aniket Kittur; Yan-Ying Chen; Matthew K. Hong (CHI, 2025)

NoTeeline: Supporting Real-Time, Personalized Notetaking with LLM-Enhanced Micronotes. - Faria Huq; Abdus Samee; David Chuan-En Lin; Alice Xiaodi Tang; Jeffrey P. Bigham (IUI, 2025)