About me

I am a Ph.D. candidate in Computer Science at the University of Texas at Dallas, advised by Prof. Yapeng Tian. My research focuses on multimodal AI, with an emphasis on audio-visual learning, video understanding, and LLM-augmented multimodal systems. I am particularly interested in building robust and agentic AI systems that operate reliably in real-world settings.

Prior to UTD, I received a Bachelor of Science in Mathematics from Sichuan University.

News

Selected Publications

Building robust and agentic multimodal AI systems for real-world understanding and assistance.

A Track A

Multimodal Perception & Robustness

Robust audio-visual perception, out-of-distribution understanding, and reliable multimodal systems under real-world shifts.

B Track B

Agentic Multimodal Reasoning

LLM-integrated reasoning over visual and multimodal evidence with tool use, verification, and structured decision-making.

C Track C

Egocentric & Real-World AI Applications

Causal egocentric perception and assistive multimodal AI designed for deployment, accessibility, and human-centered impact.

Projects

Publications

Resume

Education

  1. University of Texas at Dallas

    2023 — Present

    Artificial Intelligence; Machine Learning; Data Structure and Algorithm ...

  2. Sichuan University

    2018 — 2023

    Probability Theory, General Topology, Functional Analysis ...

Experience

  1. Research Assistant

    2024 — Present

    Working on LLM and HAYSTAC Projects.

  2. Teaching Assistant

    2023 — 2024

    Operation Systems & Discrete Math

My skills

  • Python - data preprocess
    80%
  • Pytorch - Deep learning Architecture
    70%
  • Linux
    90%