Ruidong Jin

CV pdf:download

Tel:(+86)159 2196 9781

(+81)070 4037 0482

Email:ruidong.jin@net.c.titech.ac.jp

sjtu.tracyking@gmail.com

Webpage:tracyking.space

Github:github.com/Tracy-King


  • Linux Kernel
  • Machine Learning
  • Deep Learning
  • Complex Network/Graph Neural Network

  • C/C++, Java, Python
  • Linux, Pytorch, Tensorflow
  • Frequent Japanese Listening/Reading/Speaking
  • Frequent English Listening/Reading/Speaking/Writing

  • Shanghai Jiao Tong University
  • Bachelor, Computer Science
    Shanghai, China
    Sept. 2014 - July 2018

  • Meiji University
  • Short term exchange student, Japanese
    Tokyo, Japan
    Feb. 2017

  • Tokyo Institute of Technology
  • Master, Computer Science
    Tokyo, Japan
    Sept. 2018 - July 2020(Expected)

  • Tokyo Institute of Technology
  • Doctor candidate, Aritificial Intelligence
    Tokyo, Japan
    Oct. 2020 - Mar. 2024(Expected)


  • National Institute of Advanced Industrial Science and Technology (AIST)
  • Research Assistant, Aritifical Intelligence Research Center(AIRC)
    Tokyo, Japan
    Oct. 2019 - Sep. 2023


  • Cyberspace Intelligence Computing Lab
  • Undergraduate, SJTU
    Software Defined Network, Sept. 2016 - Apr. 2017
    Spamming Review Detection, Apr. 2017 - Aug. 2018

  • Murata Lab
  • Master, Tokyo Tech
    Artificial Intelligence, Sept. 2018 - Mar. 2024(Expected)


  • Manual Fake Review Detection for O2O Commercial Platforms by Using Geolocation Features
  • Ruoyu Deng, Na Ruan*, Ruidong Jin, Yu Lu, Weijia Jia, Chunhua Su and Dandan Xu
    In: Information Security and Cryptology. Inscrypt 2018. Lecture Notes in Computer Science, vol 11449. Springer, Cham.

  • Predicting Emergency Medical Service Demand With Bipartite Graph Convolutional Networks
  • Ruidong Jin, T. Xia, X. Liu*, T. Murata and K. -S. Kim
    in IEEE Access, vol. 9, pp. 9903-9915, 2021.

  • Predicting Potential Real-Time Donations in YouTube Live Streaming Services via Continuous-Time Dynamic Graph.
  • Ruidong Jin, Xin Liu*, and Tsuyoshi Murata
    In Discovery Science: 25th International Conference, DS 2022, Montpellier, France, October 10–12, 2022, Proceedings. Springer-Verlag, Berlin, Heidelberg, 59–73.

  • Predicting Potential Real-time Donations in YouTube Live Streaming Services via Continuous-time Dynamic Graph
  • Ruidong Jin, Xin Liu*, Tsuyoshi Murata
    Machine Learning Journal, 2023

  • Predicting Popularity Trend in Social Media Networks with Multi-layer Temporal Graph Neural Networks.
  • Ruidong Jin, Xin Liu*, and Tsuyoshi Murata
    Complex & Intelligent Systems 2024


  • SJTU EE Lab IIB:Computer Controlling Cars
  • This project requires a system that a car based on a microcontroller can find the road automatically with the assistant of a computer.
    For more details, please refer to the project homepage
    Sept. 2015 - Jan. 2016

  • SJTU EE Lab IIIC:Smartphone Controlling Cars
  • This project requires a system that a car based on a microcontroller can run and transfer video under the control of a smartphone.
    For more details, please refer to the project homepage
    Sept. 2016 - Jan. 2017

  • SJTU SE Practice:A Text Editor with Fingerprint Recognition System
  • This software is a text editor with fingerprint recognition system. It's based on Java and need to be used with a fingerprint collector.
    For more details, please refer to the Github page
    Sept. 2016 - Jan. 2017

  • For more project information, Please refer to my Project and my Github

  • China Computer Federation Computing Accreditation for Professionals(CCF CAP)
  • Shanghai Jiao Tong University
    Sept. 2015

  • 32nd National College Physics Contest
  • 3rd Prize in Shanghai Area (non-physics A group)
    Dec. 2015

  • 2016 Chinese Undergraduate Mathematical Contest in Modeling(CUMCM)
  • 1st Prize in Shanghai Area
    Sept. 2016

  • Japan Association Student Service Organization(JASSO) Short Term Study Scholarship
  • Meiji University
    Feb. 2017

  • Japan Association Student Service Organization(JASSO) Honors Scholarship
  • Tokyo Tech
    Oct. 2018

  • Cross the border! Tokyo Tech Pioneering Doctoral Research Project
  • Tokyo Tech
    Oct. 2021


    Update in Apr. 2 2024