HCI Researcher | Humanist Technologist
My research focuses on systems in Human-Computer Interaction (HCI). Recently, I am interested in elucidating intents in interactions. More specifically, I hope to leverage AI-powered interfaces to achieve accessible communication and effective disambiguation between cognition and computation.

I address this issue in three directions:
  • 1 translating open-ended human intents into structured machine-understandable formal language;
  • 2 making the computer accurately and naturally capture human intents;
  • 3 designing and deploying human-in-the-loop systems that support human activity.

I study Computer Science and Philosophy at the University of Notre Dame where I was advised by Dr. Toby Jia-jun Li. Previously, I interned at Creativity Lab led by Dr. Haijun Xia.
Publication
Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation

Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation

Sangho Suh*, Meng Chen*, Bryan Min, Toby Jia-Jun Li, Haijun Xia

Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2024)

A Bottom-Up End-User Intelligent Assistant Approach to Empower Gig Workers against AI Inequality

A Bottom-Up End-User Intelligent Assistant Approach to Empower Gig Workers against AI Inequality

Toby Jia-Jun Li, Yuwen Lu, Jaylexia Clark, Meng Chen, Victor Cox, Meng Jiang, Yang Yang, Tamara Kay, Danielle Wood, Jay Brockman

2022 Symposium on Human-Computer Interaction for Work (CHIWORK 2022)

An Empirical Study of Developer Behaviors for Validating and Repairing AI-Generated Code

An Empirical Study of Developer Behaviors for Validating and Repairing AI-Generated Code

Ningzhi Tang*, Meng Chen*, Zheng Ning, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li

13th Annual Workshop at the Intersection of PL and HCI (PLATEAU 2023)

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