David Chuan-En Lin

Statistics

Publications

Citations

114

H-Index

Active since

2016

Affiliations

Carnegie Mellon University(Current)

Toyota Research Institute

Toyota Industries (United States)

David Chuan-En Lin is an author at Carnegie Mellon University specializing in arts, item cold-start recommendation, and deep learning for recommendation.

ORCID

Publications per year

2016–2025

Publications

Solving cold-start problem in large-scale recommendation engines: A deep learning approach

Jianbo Yuan, Walid Shalaby, Mohammed Korayem et al. · 2016 · 47 citations

Computing, Computer Science, Artificial Intelligence +14

Inkspire: Supporting Design Exploration with Generative AI through Analogical Sketching

David Chuan-En Lin, Hyeonsu B Kang, Nikolas Martelaro et al. · 2025 · 22 citations · Full text

Arts, Design, Generative Design +11

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

David Chuan-En Lin, Nikolas Martelaro · 2024 · 21 citations · Full text

Arts, Design, Creativity +11

Soundify: Matching Sound Effects to Video

David Chuan-En Lin, Anastasis Germanidis, Cristóbal Valenzuela et al. · 2023 · 12 citations · Full text

Arts, Media Arts, Immersive Visualization +15

BioSpark: An End-to-End Generative System for Biological-Analogical Inspirations and Ideation

Hyeonsu B Kang, David Chuan-En Lin, Nikolas Martelaro et al. · 2024 · 12 citations · Full text

Architecture, Biology, Design +17

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