- 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