Jing Chen

Jing Chen

Ph.D. of Computer Networking

Tsinghua University, China

Biography

Jing Chen is a PhD student at the Network Architecture Laboratory of the Institute for Network Sciences and Cyberspace, Tsinghua University. She is advised by Prof. Mingwei Xu and Asst Prof. Bo Wang. Her research interests include low-latency network transport, interactive video streaming and their challenges on wireless networks.

Interests
  • Low-latency Network Transport
  • Interactive Video Streaming
  • Wireless Networks
Education
  • PhD in Network Sciences and Cyberspace, 2020 - present

    Tsinghua University

  • BSc in Electronic Engineering, 2016 - 2020

    Tsinghua University

News

Sep 2024   I was awarded student travel grant to ICNP 2024.

Jul 2024   Our paper Plum is accepted by ICNP 2024.

Jul 2023   My coauthored paper Hairpin is accepted by NSDI 2024.

Sep 2022   I successfully applied for a MD-PhD program at the Institute for Network Sciences and Cyberspace, Tsinghua University.

Oct 2021   I was awarded the Scholarship of Yangtze River Delta International R&D Community Elite.

Jun 2021   I attended IWQoS 2021 and presented our work HierTopo: Towards High-Performance and Efficient Topology Optimization for Dynamic Networks.

Jun 2021   I presented our poster work Physical-Layer Informed Multipath Redundancy Optimization for Mobile Real-Time Communication in APNet 2021.

Publications

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Experiences

 
 
 
 
 
Service - Artifact Evaluation Committee
June 2024 – November 2024 Beijing
Artifact reproduction and evaluation for three CoNEXT papers in two review windows.
 
 
 
 
 
Service - Artifact Evaluation Committee
July 2024 – September 2024 Beijing
Artifact reproduction and evaluation for two SIGCOMM papers.
 
 
 
 
 
Service - Shadow TPC
May 2022 – August 2022 Beijing
Reviewed 11 papers in two rounds and received 4 positive ratings among peer reviewers.
 
 
 
 
 
Research intern
July 2021 – October 2022 Shenzhen
Transport optimization for START cloud gaming interactive video streaming.
 
 
 
 
 
Summer intern
July 2019 – August 2019 Beijing
High-quality handwritten Chinese character generation with Generative Adversarial Networks (GAN).

Contact

The best way to contact me is via email.