Run Wang

Run Wang

PhD Student at Clemson University

Education Experience

  • Clemson University, Clemson, SC
    Ph.D. Student in Computer Science, Aug. 2025 - Present
    Concentration: 3D Computer Vision, AI Security and Mobile Computing

  • Carnegie Mellon University, Pittsburgh, PA
    M.S. in Electrical and Computer Engineering (Applied Advanced Program), Sep. 2021 - May 2023

  • Rensselaer Polytechnic Institute, Troy, NY
    B.S. in Computer & Systems Engineering, Sep. 2017 - May 2021

CV (PDF) | Google Scholar | GitHub | Email

Research Topics

  • 3D Vision
  • AI Security
  • Mobile Computing

Selected Publications

  • Lightweight Detection of Abnormal Battery Drain Induced by Network Operations of Mobile Apps. Run Wang, Marco Brocanelli, Xiaorui Wang. INFOCOM, 2026 (Acceptance Rate: 329/1740 (18.91%))

  • FlexMap: Generalized HD Map Construction from Flexible Camera Configurations. Run Wang, Chaoyi Zhou, Amir Salarpour, Xi Liu, Zhi-Qi Cheng, Feng Luo, Mert D. Pesé, Siyu Huang. arXiv, 2026. Link

  • FF3R: Feedforward Feature 3D Reconstruction from Unconstrained Views. Chaoyi Zhou, Run Wang, et al.. CVPR Findings, 2026

  • MAPP: Predictive UI View Pre-Caching for Improving the Responsiveness of Mobile Apps. Run Wang, Zach Herman, Marco Brocanelli, Xiaorui Wang. IWQoS, 2025 (Acceptance Rate: 81/326 (24.8%)). Link

Research Experience Snapshot

  • Graduate Research Assistant, Clemson University (2025-08 – Present)

  • Graduate Research Associate, Ohio State University (2024-05 – 2025-08)

  • Research Assistant, CERLAB, Carnegie Mellon University (2022-05 – 2023-05)

Recent Highlights

  • [01/15/2026] FF3R: Feedforward Feature 3D Reconstruction from Unconstrained Views, CVPR Findings 2026 (Accepted)

  • [12/08/2025] Lightweight Detection of Abnormal Battery Drain Induced by Network Operations of Mobile Apps, INFOCOM 2026 (Acceptance Rate: 329/1740 (18.91%)) (Accepted)

  • [08/01/2025] Become a PhD student at Clemson University (Co-advised by Dr. Siyu Huang and Dr. Mert D. Pesé)

  • [07/02/2025] MAPP: Predictive UI View Pre-Caching for Improving the Responsiveness of Mobile Apps, IWQoS 2025 (Acceptance Rate: 81/326 (24.8%)) (Accepted)

Global Visitors

Collaboration

I welcome research collaborations in autonomous driving perception, trustworthy AI, and mobile/edge intelligence. If our interests overlap, please email me at runw@clemson.edu.