Analogical Reasoning & Creative Cognition
May 1, 2023
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1 min read
This research thread explores the intersection of AI and creative cognition, focusing on how large language models can augment human creativity through analogical reasoning.
Key contributions include:
- Fluid Transformers — Exploring LLMs’ capacity for augmenting cross-domain analogical creativity (C&C 2023, Honorable Mention)
- Creative Inspiration Theory — Towards an interaction-oriented theory of creative inspiration from examples (CHI 2024)
- STEM Analogies — Elucidating STEM concepts through generative AI with multi-modal analogical reasoning (IJCAI 2023)
- Bayesian Optimization — How diverse initial samples help and hurt Bayesian optimizers in design (JMD 2023)
Authors
Zijian "Jason" Ding, PhD
(he/him)
Incoming Postdoctoral Fellow
KAIST School of Computing
PhD in Human-Centered AI
University of Maryland College Park
KAIST School of Computing
PhD in Human-Centered AI
University of Maryland College Park
Incoming Postdoctoral Fellow at KAIST School of Computing, working with Prof. Joseph Seering and Prof. Juho Kim. PhD in Human-Centered AI from the University of Maryland, College Park (Jun 2026).
8+ years of research in Human-Centered AI, 5+ years in Generative Models.
20+ publications at CHI, C&C, EMNLP, CSCW, UIST, IUI.