Zhi (Varus) Jing

5000 Forbes Ave, Pittsburgh, PA 15213
varusjing@gmail.com or zjing2@cs.cmu.edu

I am a SWE at Google Search. I earned my Master's degree from CMU of program MCDS in 2023, and I earned my Bachelor's degree from SYSU in 2022.

This site is updated in Mar. 2024


Education

Carnegie Mellon University (CMU)

School of Computer Science (SCS)

Master of Computational Data Science (MCDS)

QPA: 3.9/4.3

Aug. 2022 - present
Pittsburgh PA, USA

Sun Yat-sen University (SYSU)

School of Computer Science and Engineering
Bachelor of Engineering, Software Engineering

Overall GPA: 3.9/4.0 (90.73/100)
Major GPA: 4.0/4.0 (92.16/100)

Sep. 2018 - Jun. 2022
Guangzhou, China

Experience

Google

SWE Intern at Visual Dictionary, Search Quality, supervised by Dr. Lei Wang

  • Delivered an internal model of Vdict v1.5, the prototype of Vdict v2 which is now up and running inside Google Search
  • May 2023 - Aug. 2023
    Mountain View, CA

    Microsoft Research Asia (MSRA)

    Research Intern at Machine Learning Group, supervised by Dr. Weiqing Liu

  • Engaged in a joint-corporate project of stock investment between Microsoft and China Asset Management Company (ChinaAMC) using machine learning methods.
  • Conducted original research project on multivariate time series forecasting based on various factors in domain of finance.
  • Contributed baseline models like MTGNN and Informer to the main project.
  • Jul. 2021 - Feb. 2022
    Beijing, China

    HKUST Fok Ying Tung Research Institute (FYTRI)

    Research Assistant supervised by Prof. Yangqiu Song

  • Carried out a whole data analysis project, including using crawlers to collect target Twitter accounts, text processing using sentiment analysis and topic analysis, completing data statistics and visualization.
  • Designed an innovative model that applied graph neural networks (RGCN) to a question-answering (QA) framework, introducing hierarchical Memory Networks to improve LSTM structure, took charge of the model building, and experiments.
  • Nov. 2019 - Feb. 2021
    Guangzhou, China

    Sun Yat-sen University (SYSU)

    Lab Assistant advised by Prof. Qinliang Su

  • Completed a research project on a Transformer-based text generation task, known as Knowledge Graph to Text.
  • Sept. 2020 ‑ Jun. 2022
    Guangzhou, China

    MIT Remote Summer School

    Student advised by Prof. Manolis Kellis

  • The course was a simplified version of 6.047/6.878: Computational Biology: Genomes, Networks, Evolution, which is taught at MIT by Prof. Manolis Kellis himself.
  • Worked with 3 senior-year students on a paper that applies Variational Autoencoder (VAE) for Drug Response.
  • Achieved an overall grade of A+ with our paper accepted by AI4PH workshop, ICLR 2021.
  • Jul. 2020 - Aug. 2020
    Shanghai, China

    Skills

    Programming Languages & Tools
    • Python

    Interests

    I love movies, music, and sports.


    Blogs

    News

    2022.3.14

    Started this personal website.