Jiarui Li
EN中文

ABOUT

About

A background in computer science and electronic engineering, connecting perception, software and systems.

I am Jiarui Li, an MEng student in Electrical & Computer Engineering at the University of Illinois Urbana-Champaign (UIUC), expecting to graduate in December 2027. My background connects computer science, electronic engineering and system integration.

During my internships, I worked on visual detection for industrial and automotive settings, and on embodied simulation for vision-guided cloth folding. My responsibilities included model reproduction and fine-tuning, inference pipelines, trajectory visualization, data replay and simulation debugging.

In my coursework and final-year project, I combined sensing, software and interaction: an Arduino sonar system with Python visualization, and an indoor AR navigation application with route recording, graph management and navigation.

Education

  1. Expected graduation: Dec 2027

    University of Illinois Urbana-Champaign

    MEng · Electrical & Computer Engineering

  2. 2024.09 — 2026.05

    University of Liverpool

    BEng · Computer Science & Electronic Engineering

    • GPA: 3.98 / 4.0.
    • Final-year project in indoor AR navigation and embedded sonar coursework.

  3. 2022.09 — 2024.08

    Xi’an Jiaotong-Liverpool University

    BEng · Computer Science & Technology

    • GPA: 3.8 / 4.0; top 3%.

Internships & engineering

  1. 2026.07 — 2026.08 · Remote

    VisionX LLC

    Software Engineering Intern

    Connected X-VLA inference with simulation to inspect the integration from visual observations to policy actions.

    Explore my contributions

  2. 2024.06 — 2024.08 · Wuhan, China

    VIA Technologies, Inc.

    Algorithm Engineer Intern · Computer Vision

    Adapted visual models for seatbelt, helmet and smoking detection and integrated them with embedded safety monitoring.

    Explore my contributions

Areas of interest

  • Computer vision
  • Embodied simulation
  • Sensing and spatial navigation

Publications

  • SLIP-flood: Soft-combination of Swin Transformer and Lightweight Language-Image Pre-training for Flood Images Classification

    2025 · International Journal of Applied Earth Observation and Geoinformation

    Authors & attribution

    Heng Tang, Xiaoping Rui, Jiarui Li, Ninglei Ouyang, Yiheng Xie, Xiaodie Liu, and Yiming Bi

    Third author; specific contribution to be added.

  • The Ten-Classification of Whole-body Parts from Infrared Thermal Images

    2024 · 2024 9th International Conference on Communication, Image and Signal Processing (CCISP)

    Authors & attribution

    Yuzhuo Wang, Jiarui Li, Shishuo Chen, Sikai Ge, Shuihua Wang, and Chengyu Wang

    Second author; specific contribution to be added.