CV

Basics

Name Jike Wang
Label Incoming Postdoctoral Researcher at SMU
Email wjkldp@gmail.com
Phone +86 13186082516
Url https://wjk5117.github.io/
Summary My research is driven by the goal of enabling reliable perception and autonomy for intelligent systems in the real world. I focus on building robust, low-power sensing systems for intelligent robots and AIoT platforms that can operate effectively in complex environments where conventional vision-based approaches often break down. By combining wireless sensing, mobile robotics, and embedded intelligence, I aim to expand the sensing frontier for real-world autonomy under occlusion, interference, and resource constraints. A central theme of my work is magnetic sensing, a modality inherently resilient to occlusion, lighting variation, and wireless interference. Along this direction, our team developed METRO for all-weather road-marking perception, Polaris, a vision-free magnetic fiducial system for accurate robot pose estimation, and MagLens for mobile fine-grained imaging of hidden ferrous structures. Our work has appeared at leading international venues, including ACM MobiCom, ACM SenSys, and NDSS Symposium.

Education

  • 2021.09 - 2026.06

    Shanghai, China

    Ph.D.
    Shanghai Jiao Tong University
    Computer Science and Technology
    • Research Interests: Artificial Internet of Things (AIoT), Wireless Sensing, and Mobile Robotics. Advisor: Prof. Dongyao Chen.
  • 2017.09 - 2021.06

    Shaanxi, China

    B.S.
    Xidian University
    Software Engineering
    • GPA 3.9/4.0 (Rank 3/459, Top 1%)

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.

Presentations

  • 2026.05
    MagLens: Bringing Mobile, Fine-Grained Imaging to Ferrous Building Structures
    ACM/IEEE SenSys 2026
    Saint-Malo, France
  • 2025.08
    Enabling Robust and Scalable Robot Perception with Magnetic Sensing
    The 3rd AIoTSys 2025
    Lanzhou, China

    Best Presentation Award.

  • 2024.11
    Polaris: Accurate, Vision-free Fiducials for Mobile Robots with Magnetic Constellation
    Microsoft Research Asia (MSRA, Shanghai)
    Shanghai, China
  • 2024.11
    Polaris: Accurate, Vision-free Fiducials for Mobile Robots with Magnetic Constellation
    ACM MobiCom 2024
    Washington, D.C., USA
  • 2023.11
    METRO: Magnetic Road Markings for All-weather, Smart Roads
    ACM SenSys 2023
    Istanbul, Türkiye

Awards

Academic / Teaching Services

  • 2026

    Reviewer
    IEEE TMC (Transactions on Mobile Computing)
    Reviewer for IEEE Transactions on Mobile Computing, 2026.
  • 2025, 2026

    Reviewer
    ACM IUI (Intelligent User Interfaces)
    Reviewer for ACM IUI (Intelligent User Interfaces), 2025 and 2026.
  • 2025

    Member, Artifact Evaluation Committee
    ACM MobiCom 2025
    Served on the Artifact Evaluation Committee for ACM MobiCom 2025.
  • 2022, 2023 Summer

    Shanghai, China

    Teaching Assistant
    Shanghai Jiao Tong University
    Teaching assistant for CS106: Programming Practice (2022 Summer, 2023 Summer).
  • 2021 - 2025 Fall

    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.