Shenghui Chen CS PhD @UTAustin

Shenghui (Vivian) Chen

I am a fifth-year Ph.D. student in Computer Science at the University of Texas at Austin, advised by Professor Ufuk Topcu. I obtained B.S. in Computer Science from the University of Virginia, advised by Professor Lu Feng.

My research focuses on how AI agents coordinate with humans and other agents under uncertainty and incomplete information.

Email: shenghui.chen [at] utexas [dot] edu

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News & Updates

  • Jul 2026 – Invited talk at Prof. Changliu Liu’s Intelligent Control Lab at Carnegie Mellon University.
  • Jul 2026 – Wrapped up a rewarding internship with AMD’s GenAI group.
  • Nov 2025 – Glad to be shortlisted for the ADF 2025 Rising Stars Asia program, see here.
  • Sep 2025 – Our paper on annotation-free video-to-text evaluation has been accepted to NeurIPS 2025! Learn more on our project page.

Publications

Human-Centered AI

Human-Agent Collaboration

Interaction & Game Theory

XAI and Human Trust
Evaluating Human Trust in LLM-Based Planners: A Preliminary Study ArXiv
Chen, Shenghui, Yang, Yunhao, Boggess, Kayla, Heo, Seongkook, Feng, Lu, Topcu, Ufuk
ArXiv, 2025
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Multi-Objective Controller Synthesis with Uncertain Human Preferences ICCPS 2022
Chen, Shenghui, Boggess, Kayla, Parker, David, Feng, Lu
International Conference on Cyber-Physical Systems (ICCPS), 2022
paper doi bibtex
Towards Transparent Robotic Planning via Contrastive Explanations IROS 2020
Chen, Shenghui, Boggess, Kayla, Feng, Lu
International Conference on Intelligent Robots and Systems (IROS), 2020
paper doi bibtex

Blog Posts

Dec 2024 On Boltzmann Rationality A brief overview of Boltzmann rationality, a model of human decision-making Dec 2022 A function primer for optimization Different types of functions essential in optimization. Oct 2022 Cost Design in Atomic Routing Games How to design appropriate costs that encourage more desirable social interactions?

Outreach Activities