Haoyue Bai

Ph.D. student / William & Mary

Hi, I’mHaoyue Bai.

I study multimodal intelligence and how AI systems work together.

I’m a Ph.D. student in Data Science at William & Mary, advised by Prof. Jindong Wang. My research spans multimodal models, multi-model collaboration, multimodal agents, and trustworthy AI.

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Multimodal models · Agents · Trustworthy AI

01 / Research

What I work on.

Understanding across modalities.
Collaboration across models.

I’m interested in connecting multimodal understanding and generation, and coordinating complementary models.

  1. 01

    Multimodal models

    Unified understanding and generation across visual and textual modalities.

  2. 02

    Multi-model collaboration

    Coordination and routing that bring complementary model capabilities together.

  3. 03

    Multimodal agents

    Agents that interact with interfaces and reason over diverse information sources.

  4. 04

    Trustworthy AI

    Robustness, diagnostic evaluation, and reliable behavior in changing environments.

02 / Selected publications

Recent work.

All publications

6 selected publications

03 / Experience & education

Where I’ve been.

Research experience

  1. Dec 2025–Apr 2026

    Ant Group

    Research Intern

    Multimodal GUI agents and robustness.

  2. May–Aug 2025

    NEC Laboratories America

    Research Intern

    Cyberattack propagation and hybrid-source retrieval-augmented generation.

  3. Aug 2024–Dec 2025

    Arizona State University

    Research Assistant

    Generative simulation and data-centric AI.

Education

  1. Aug 2026–present

    William & Mary

    Ph.D. student · Data Science

    Advisor: Prof. Jindong Wang

  2. 2021–2024

    Hefei University of Technology

    Master of Engineering

    Advisor: Prof. Le Wu

  3. 2016–2020

    Central South University

    Bachelor of Engineering

04 / Contact

Let’s talk.

For research conversations, collaboration, or a simple hello, feel free to get in touch.

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