I am a Ph.D. candidate under the supervision of Prof. Chunyi Peng in Computer Science at Purdue University. My research interests are in the interdisciplinary field of mobile computing and computer vision, with a focus on building efficient mobile vision system. Recently, I have been working on autonomous and connected drones.

Before joining Purdue, I received my master’s and bachelor’s degree in 2019 and 2017 from University of Michigan, Ann Arbor and Beijing University of Posts and Telecommunications (BUPT), respectively.

What is NEW?

02/2024 We were honored to receive the Best Demo Award at ACM HotMobile’24. Thanks to my collaborator Shengqing. Our web-based demo is released.
01/2024 Our demo for autonomous drone delivery to your door is accepted by HotMobile’24. Please check our demo video at Youtube. Our app is released at Github.
01/2024 Two papers are accepted by HotMobile’24.
04/2023 I passed the preliminary examination.
03/2023 I am awarded the student travel grant to attend INFOCOM’23. See you in New York.
12/2022 “OPA: One-Predict-All For Efficient Deployment” is accepted by INFOCOM’23.
04/2022 “VPPlus: Exploring the Potentials of Video Processing for Live Video Analytics at the Edge” is accepted by IWQoS’22.
04/2021 I will server as a TPC for S3 workshop at MobiCom 2021. Please consider submitting your work!

Selected Publications (a full list at here)

HotMobile’24, SSS: Towards Autonomous Drone Delivery to Your Door Over House-Aware Semantics
Shengqing Xia, Junpeng Guo, and Chunyi Peng.

INFOCOM’23, OPA: One-Predict-All For Efficient Deployment
Junpeng Guo, Shengqing Xia, and Chunyi Peng.

IWQoS’22, VPPlus: Exploring the Potentials of Video Processing for Live Video Analytics at the Edge
Junpeng Guo, Shengqing Xia, and Chunyi Peng.

HotMobile’21, Towards Drone-Sourced Live Video Analytics via Adaptive-yet-Compatible Compression
Junpeng Guo and Chunyi Peng.

Services

Reviewer, INFOCOM’24
Reviewer, IEEE Transactions on Mobile Computing (TMC)
Reviewer, Computer Communications
Program Committee, ACM S3 workshop 2021