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Jingwen Bai

PhD Student in Computer Science at the National University of Singapore

I am a PhD student in Computer Science at the National University of Singapore, and a member of the NUS Ubicomp Lab, advised by Prof. Brian Y. Lim. My research lies at the intersection of Human Centered AI, Explainable AI (XAI), and human-AI collaboration, with a focus on designing systems and tools that improve human and AI understanding, performance, and learning.

Previously, I received my M.Eng. in Computer Technology and B.Eng. in Software Engineering from Peking University, and worked on HCI and AI projects with collaborators at SUSTech, Peking University, and the University of Waterloo.

Research

Research Themes

My work broadly explores how AI systems can be made easier to understand, evaluate, and use in human-centered settings.

01

Human-Centered AI

Studying how people understand, interact with, and shape AI systems in ways that are more meaningful and usable.

02

Explainable AI

Investigating how AI systems can better communicate their reasoning and become more understandable, transparent, and useful to people.

03

Interactive AI Systems

Building systems that support collaboration, learning, and communication between people and AI.

Publications

Publications

A list of recent publications and preprints related to my current research.

2026 Preprint Accepted to CHI 2026

iRULER: Intelligible Rubric-Based User-Defined LLM Evaluation for Revision

Bai, J., Cheong, W. S., Muller, P., & Lim, B. Y.

arXiv preprint arXiv:2602.12779. Accepted to CHI 2026.

2026 Preprint Accepted to CHI 2026

Editable XAI: Toward Bidirectional Human-AI Alignment with Co-Editable Explanations of Interpretable Attributes

Chen, H., Bai, J., Tian, F., & Lim, B. Y.

arXiv preprint arXiv:2602.12569. Accepted to CHI 2026.

2025 IWMUT

TherAIssist: Assisting Art Therapy Homework and Client-Practitioner Collaboration through Human-AI Interaction

Liu, D.*, Bai, J.*, Zhang, Z., Zhang, Y., Zhang, Z., Zhao, J., & An, P.

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 9(3), Article 113.

Note: * indicates co-first authors.

Experience

Research and Professional Experience

Research Experience

Aug. 2024 - Present

National University of Singapore, Ubicomp Lab

Doctoral Researcher · Advised by Prof. Brian Y. Lim

Jun. 2023 - Aug. 2024

Southern University of Science and Technology

Visiting Student · Advised by Prof. Pengcheng An

Apr. 2023 - Sep. 2023

Peking University

Research Assistant · Advised by Prof. Yizhou Fan

Jun. 2022 - Aug. 2023

University of Waterloo

Research Intern (Remote) · Advised by Prof. Jian Zhao

Industry Experience

  • OneFlow Inc. AI Intern · Feb. 2023 - May. 2023
  • NetEase Games ThunderFire Studio Full Stack · Jul. 2022 - Mar. 2023
  • AMD AI Compiler Intern · Apr. 2022 - Oct. 2022
  • Meituan Web Development Intern · Jun. 2020 - Sep. 2020

Technical Strengths

  • Python
  • JavaScript / TypeScript
  • Java
  • PyTorch
  • React
  • Vue
  • Flask
  • Spring
  • D3.js
  • Docker
  • User Study
  • Linux / Shell

Contact

Open to research conversations, collaboration, and new ideas.