Summary

Final-year undergraduate student in the UESTC & University of Glasgow joint program. Research interests include large language models (LLMs) and computer vision.

Education

• Bachelor of Engineering | Communication Engineering (Joint Program)

  2026-07
  UESTC & University of Glasgow

  GPA: 84.9 / 3.73

  Courses: Linear Algebra and Space Analytic Geometry (98), Elements of Information Theory (88), Introductory Programming (95), Digital Circuit Design (92)

Work Experience

• Research Intern — Diffusion Models for Virtual Try-On Systems

  2024-09 - 2025-04
  National Supercomputing Center

  Supervisor: Dr. Changwei Wang (Jinan, China)

  • Developed a virtual try-on framework using diffusion models, enabling clothing visualization from a single image.
  • Improved realism and garment-fitting accuracy to enhance the online shopping experience.
  • Addressed long-sleeve to short-sleeve replacement using staged and partial replacement strategies.
• Research Assistant — Generative AI in Semantic Communication Systems

  2024-04 - 2025-05
  University of Electronic Science and Technology of China (UESTC)

  Supervisor: Prof. Yusha Liu (Chengdu, China)

  • Applied generative AI models to compress information into latent space before transmission and reconstruct it after transmission to conserve communication resources.
  • Explored underwater semantic communication enhancement by learning from large underwater communication datasets.
  • Adapted models for complex-valued communication systems (most AI models are designed for real-valued inputs).
• Research Project Lead — LLMs for Automated Machine Learning

  2024-02 - 2025-05
  Johns Hopkins University

  Supervisor: Dr. Yiqing Shen (Baltimore, MD)

  • Led an independent project applying LLMs to automate both discriminative and generative machine learning.
  • Ran experiments across multiple datasets; the framework performed better in most settings.
  • Conducted a user study with 25 participants validating usability and convenience.
  • Authored a paper accepted by IEEE BIBM 2025.

Skills

Publications

• A Human-Centered Multimodal AutoML Framework for Discriminative and Generative Tasks with Large Language Models

  2026
  IEEE BIBM 2025

  J. Guo, L. Zhang, and Y. Shen.

  View Publication

Portfolio

• Automated Pace Tracking Drone

  2025
  Project

  Designed and built a fully autonomous drone capable of tracking, object recognition, and object grasping; completed hardware assembly, programming, and validation independently (UESTC, Chengdu).
• Mini Smart Home Using Embedded Processor (STM32)

  2023
  Project

  Built a smart home prototype using STM32 to sense temperature/luminance/humidity and respond accordingly; independently programmed, built circuits, and tested (UESTC, Chengdu).
• Transformer-based Object Classification Model

  2024
  Project

  Built a Transformer model to classify 7 object categories; contributed to dataset creation; achieved better performance than peer models (UESTC).
• Reviewer, CVPR

  2024
  Activity

  Reviewed papers related to medical computer vision frameworks.
• Champion, College Football Tournament

  2022
  Activity

  Recognized as the Champion Class in the tournament.
• Outstanding Class Committee Member

  2023
  Activity

  Granted to class committee members who demonstrated exceptional dedication (also awarded in 2024-10).

Languages

• English

  IELTS 7.5

Interests

• Research Interests

  Large Language Models (LLMs), Computer Vision