Shenghui Chen
Scholar

Shenghui Chen

Google Scholar ID: MB0OgPEAAAAJ
University of Texas at Austin
Game TheoryHuman-Agent Interaction
Citations & Impact
All-time
Citations
54
 
H-index
4
 
i10-index
2
 
Publications
14
 
Co-authors
15
list available
Resume (English only)
Academic Achievements
  • Publications:
  • - VIBE: Annotation-Free Video-to-Text Information Bottleneck Evaluation for TL;DR
  • - Human-Agent Coordination in Games under Incomplete Information via Multi-Step Intent
  • - Human-Agent Cooperation in Games under Incomplete Information through Natural Language Communication
  • - Soft-Bellman Equilibrium in Affine Markov Games: Forward Solutions and Inverse Learning
  • - Cost Design in Atomic Routing Games
  • - Relationship Design for Socially-Aware Behavior in Static Games
  • - Deceptive Planning for Resource Allocation
  • - Towards transparent robotic planning via contrastive explanations
  • - Performance Modeling and Verification of Load Balancing in Cloud Systems Using Formal Methods
Research Experience
  • Currently a fourth-year Ph.D. student at the University of Texas at Austin, involved in multiple research projects including annotation-free video-to-text evaluation, human-agent collaboration, etc.
Education
  • Ph.D. in Computer Science at the University of Texas at Austin, advised by Professor Ufuk Topcu; B.S. in Computer Science from the University of Virginia, advised by Professor Lu Feng.
Background
  • Research interest: human-centered AI, with a focus on collaborative agents that infer intent, adapt their behavior, and communicate effectively with people. Recently, also interested in human-centered evaluation of vision-language models (VLMs).
Miscellany
  • Participated in outreach activities such as GenCyber Level UP Back@TACC, GirlStart Spooktacular, UT STEM Girl Day 2023, Del Valle High School Visit