CV

Basics

Name Jike Wang
Label Ph.D. Candidate
Email jikewang@sjtu.edu.cn
Url https://wjk5117.github.io/
Summary My research focuses on robust, low-power sensing systems for intelligent robots and AIoT platforms operating in complex real-world environments. By combining wireless sensing, mobile robotics, and embedded intelligence, I aim to enable reliable perception and autonomy under occlusion, interference, and resource constraints. A central theme of my work is magnetic sensing for real-world autonomy, including METRO for all-weather road-marking perception, Polaris for vision-free robot pose estimation, and MagLens for mobile fine-grained imaging of hidden ferrous structures.

Education

  • 2021.09 - Present

    Shanghai, China

    Ph.D. Candidate
    Shanghai Jiao Tong University
    Computer Science and Technology
  • 2017.09 - 2021.06

    Shaanxi, China

    B.S.
    Xidian University
    Software Engineering

Publications

Projects

  • 2025.01 - 2026.02
    MagLens: Bringing Mobile, Fine-Grained Imaging to Ferrous Building Structures
    Developed a mobile and low-cost magnetic imaging system for hidden ferrous structures, enabling fine-grained contour reconstruction and depth estimation.
    • Background: Existing non-destructive inspection tools for hidden ferrous infrastructure provide coarse detection results and cannot recover detailed geometry in a low-cost and mobile manner.
    • Contribution: Enabled fine-grained contour reconstruction and depth estimation with errors below 1 mm and 0.5 cm, respectively.
    • Outcome: Accepted by ACM/IEEE SenSys 2026.
  • 2023.07 - 2024.12
    Polaris: Accurate, Vision-free Fiducials for Mobile Robots with Magnetic Constellation
    Proposed a vision-free magnetic fiducial system for robust robot pose estimation in complex environments.
    • Background: Traditional fiducial systems such as AprilTag are vulnerable to occlusion, energy consumption, and privacy issues.
    • Contribution: Achieved sub-millimeter pose estimation accuracy (<1 mm / 1°) with low-power deployment (25.08 mW).
    • Outcome: Published at ACM MobiCom 2024 and received Artifact Available and Functional badges.
  • 2021.10 - 2023.05
    METRO: Magnetic Road Markings for All-weather, Smart Roads
    Developed the first magnetic road-marking solution with long-term real-world deployment for robust all-weather road perception.
    • Background: Visual road surface markings degrade under rain, glare, occlusion, and wear, reducing driving reliability and safety.
    • Contribution: Achieved robust perception over 96% under high-speed and challenging conditions.
    • Outcome: Published at ACM SenSys 2023.

Awards

Volunteer

  • 2025.01 - 2025.12

    Reviewer
    ACM IUI 2025
    Reviewer for ACM IUI (Intelligent User Interfaces) 2025.
  • 2025.01 - 2025.12

    Member, Artifact Evaluation Committee
    ACM MobiCom 2025
    Served on the Artifact Evaluation Committee for ACM MobiCom 2025.
  • 2022.06 - 2023.08

    Shanghai, China

    Teaching Assistant
    Shanghai Jiao Tong University
    Teaching assistant for CS106: Programming Practice (2022 Summer, 2023 Summer).
  • 2021.09 - 2025.12

    Shanghai, China

    Teaching Assistant
    Shanghai Jiao Tong University
    Teaching assistant for CS1501: Programming Methodology (2021–2025 Fall). CS1501 is the introductory course to computer science and programming at SJTU.
    • Received an A grade evaluation in 2022 Fall.
    • Evaluated by 86 students.