Junfeng Guan

Hi, I’m Junfeng (Jayden) Guan

I am a Wireless Research Engineer at Bosch Research, USA.
Before that, I was a postdoctoral researcher in the Laboratory of Sensing and Networking Systems (SENS) at École Polytechnique Fédérale de Lausanne (EPFL), working with my PhD advisor Prof. Haitham Hassanieh from 2023 to 2024.
I received my PhD from the Electrical and Computer Engineering Department at University of Illinois Urbana-Champaign (UIUC), where I was a member of the Systems & Networking Research Group (SyNRG).

My research interests are in the area of wireless sensing and networking systems, including radar perception for autonomous vehicles, millimeter-wave networks, and Joint Communictions and Sensing Systems (JCAS), as well as machine learning for wireless and radar data.

Updates

Sept. 2024

I joint Bosch Research in Sunnyvale, USA as a wireless research engineer.

Aug. 2024

Our paper "Around the Corner mmWave Imaging in Practical Environments" has been conditionally accepted to MobiCom'24.

Jun. 2024

I attended the "From Waves to Insights: AI/ML Techniques for Wireless Communications and Radar" workshop in IMS'24 and presented "High-Resolution mm-Wave Imaging and Detection for Self-Driving Cars" in Washington DC, USA.

Jun. 2024

Dong-Hee and I delivered our tutorial, "Introduction to 4D Radar: Hardware, MIMO, Signal Processing, Dataset, and Neural Network", at IV'24 in Jeju, Korea.

Email: junfeng.guan@epfl.ch

384 Santa Trinita Ave
Sunnyvale
CA 94085

Education

University of Illinois Urbana-Champaign, 2017-2022
Doctor of Philosophy
Electrical and Computer Engineering
Advisor: Haitham Hassanieh
Dissertation: High-Performance Wireless Perception Using Deep Learning and MEMS Devices

University of Illinois Urbana-Champaign, 2013-2017
Bachelor of Science
Electrical Engineering
Undergraduate Thesis Advisor: Songbin Gong

Selected Research Projects

Millimeter-Wave Radar Perception

Bootstrapping Autonomous Radars with Self-Supervised Learning
Y. Hao*, S. Madani*, J. Guan, M. Alloulah, S. Gupta, and H. Hassanieh
* co-primary first authors
CVPR 2024

Accurate Detection Using Multi-Resolution Cascaded MIMO Radar
J. Guan*, S. Madani*, W. Ahmed*, S. Gupta, and H. Hassanieh
* indicates equal contribution
ECCV 2022 / Paper / Supp / Slides / Video

Exploiting Virtual Array Diversity for Accurate Radar Detection
J. Guan, S. Madani, W. Ahmed, S. Hussein, S. Gupta, and H. Hassanieh
ICASSP 2023 / Paper / Video

Through Fog High Resolution Imaging Using Millimeter Wave Radar
J. Guan, S. Madani, S. Jog, S. Gupta, and H. Hassanieh
CVPR 2020 / Paper / Supp / Slides

MEMS Spike-Train Filter Enhanced Wireless Sensing and Localization

Enabling IoT Self-Localization Using Ambient 5G Signals
S. Jog, J. Guan, S. Madani, R. Lu, S. Gong, and H. Hassanieh
NSDI 2022 / Paper / Slides

Enabling IoT Self-Localization Using Ambient 5G mmWave Signals
J. Guan, S. Jog, S. Madani, R. Lu, S. Gong, and H. Hassanieh
SIGCOMM 2022 Poster / Abstract / Poster

Efficient Wideband Spectrum Sensing Using MEMS Acoustic Resonators
J. Guan, J. Zhang, R. Lu, H. Seo, J. Zhou, S. Gong, and H. Hassanieh
NSDI 2021 / Paper / Slides / Video
ACM SIGMOBILE Research Highlights

Joint Communication and Sensing in mmWave 5G/6G Networks

3D Imaging Using Millimeter Wave 5G Signal Reflections
J. Guan, A. Paidimarri, A. Valdes-Garcia, and B. Sadhu
IEEE TMTT 2021 / Paper

3D Imaging using 5G Signals
J. Guan, A. Paidimarri, A. Valdes-Garcia, and B. Sadhu
RFIC 2020 / Paper
Best Industrial Paper Finalists

Acoustic Internet of Things

WINC: A Wireless IoT Network for Multi-Noise Source Cancellation
I. Janveja, J. Wang, J. Guan, S. Jog, and H. Hassanieh
IPSN 2023 / Paper / Slides

MUTE: Bringing IoT to Noise Cancellation
S. Shen, N. Roy, J. Guan, H. Hassanieh, and R. Choudhury
SIGCOMM 2018 / Paper / Slides / Video

Experience

École Polytechnique Fédérale de Lausanne, 2023-2024
Postdoctoral Researcher
Lausanne, Switzerland

Nokia Bell Labs, Jun. 2021 - Aug. 2021
Radio Systems Bell Labs Summer Intern
Murray Hill, New Jersey (Remote)

IBM Research, May. 2019 - Aug. 2019
Graduate Research Intern
IBM Thomas J. Watson Research Center, New York