Jingzhi Zhang

Jingzhi Zhang

Computer Science Undergraduate

Wuhan University

About Me

Hi there!👋 I’m a fourth-year undergraduate (looking for a Systems Ph.D. position) of computer science at WHU in the group of Prof. Yanjiao Chen. Currently, I serve as a research intern at NUS working with Prof. Ben Leong. My research revolves around computer networks, with interests in applying solid or novel algorithms to manage networked systems and services. Some strategic locations on the 📡 map of the currently discovered battlefield: Congestion Control, Microservice Architecture, and Dietary Detection.

None of us is as smart as all of us. If you have any ideas, please contact me.

Interests

  • Network Protocols
  • Distributed Systems
  • Smart Sensing
  • Reinforcement Learning

Education

  • B.Eng. in Computer Science, 2021

    Wuhan University

Experience

 
 
 
 
 

Research Intern

University of Illinois Urbana-Champaign

Oct 2020 – Dec 2020 Urbana, the U.S.
Improve inter-service communications in microservices
 
 
 
 
 

Research Intern

National University of Singapore

Jun 2020 – Sep 2020 Singapore
Dig into the competition between BBR (emerging power) and CUBIC (existing great power), for smoothly switching to a next-generation, low-latency congestion control
 
 
 
 
 

Attendee

SIGCOMM ‘19

Aug 2019 – Aug 2019 Beijing, China
Being shocked by real state-of-the-art works and enjoy foods in Shangri-La Hotel
 
 
 
 
 

Undergraduate Research Assistant

Wuhan University

Sep 2018 – Present Wuhan, China

Explore different levels (layers) or scales (areas) of computer networks:

  • Transport Layer / WAN: Harness Reinforcement Leaning for Internet Congestion Control
  • Application Layer / PAN: Utilize Computer Vision and Machine Learning to estimate calorie intakes
 
 
 
 
 

Potential Outstanding Researcher/Engineer

Wuhan University

Oct 2017 – Present Wuhan, China
As 1 of 29, being selected based on the potential in academia or industries from 368 students in School of Computer Science, Wuhan University

Projects

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Next-Generation, Low-Latency Congestion Control

Smoothly switch to BBR from CUBIC

Calorie Estimation via Smartphones

Facilitate Dietary Detection

Reinforcement Learning-based Congestion Control

Rethinking Congestion Control with Deep Reinforcement Learning

Accomplish­ments

Tianyuan Dic Scholarship

For excellent academic performance and innovative thinking

Outstanding Student Scholarship

For excellent yearly academic and social achievements

Excellent Student Cadre

For outstanding leadership and cooperation skills in student affairs

Freshmen Scholarship

For rising stars in the first term

Contact