Jingao Xu|徐京傲

I am currently a postdoctoral researcher at the Living Edge Lab within the Computer Science Department of Carnegie Mellon University, working with Professor Mahadev Satyanarayanan. My current work focuses on advancing Edge Computing within Drone-based systems. Prior to that, I received both my Ph.D. (2022) and B.E. (2017) degrees with highest honors in Software Engineering from the School of Software at Tsinghua University, under the supervision of Prof. Yunhao Liu and Prof. Zheng Yang.
Address: GHC 9120, 5000 Forbes Ave, Pittsburgh, PA, 15213
E-mail: xujingao13@gmail.com / jingaox@andrew.cmu.edu
Research Interests:
- AIoT, Edge Computing, Drone-based Computing
- Visual SLAM Systems, Event-Camera-based Mobile Applications
- Check out my CV, Full Publications, Google Scholar
Research Highlight: Building system supports to Enhance Drone’s Intelligence and Autonomy is the current focus and also a long-term commitment in my research endeavors. As a system researcher and builder, I adhere to the research motto: “Working Code on Flying Drones Trumps All Hype” (inspired by Prof. Satya). In pursuit of making code operational and drones airborne, I think this problem from the following three important perspectives.
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Algorithm Front: Write Working Code suitable for Flying Drones.
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Computing Front: Enable Flying Drones to effectively run Working Code.
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To push forward system performance, beyond developing algorithms and leveraging computational platforms separately, I also try to bridge them through Software-Hardware Co-Design.
Thanks to these system supports, some of our proposed drone localization solutions and edge-based computing platforms have been adopted by industry partners.

News
Jul, 2025 |
Our work PRE-Mamba on raw-data-level event camera denoising using mamba got accepted by ICCV 2025 ![]() |
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Jun, 2025 |
VISC, which achieves mmWave-based scene flow estimation with vision supervision is accepted by IEEE/RSJ IROS 2025 ![]() |
Apr, 2025 |
Our work TerraSLAM, on GPS-Denied Global Positioning for Drones, got accepted by ACM MobiSys 2025.
Extended version of MobiAir got accepted by IEEE TMC ![]() |
Feb, 2025 |
Our work mmE-Loc, on accurate landing for Meituan Delivery Drones, got accepted by ACM SenSys 2025 ![]() |
Jul, 2024 | Invited to serve as the Finance Co-Chair of ACM MobiSys 2025. Consider submitting your best works! |