Zijing Zhang

Emailzijing.zh@outlook.com
Phone+86 185 8738 7858
NationalityChinese

Education

2019.8 - 2023.6

Beijing University of Posts and Telecommunications

Bachelor’s Degree - School of Computer Science, Intelligent Science and Technology
Weighted Average Mark is 84.12 / 100, GPA is 3.37 / 4.0, and ranks 27 among a total of 69 students in the major.

Work

2023.07 - 2024.03

TuSimple

Autopilot Systems Engineer

2022.12 - 2023.05

Kong Inc.

Compiler Engineer (Internship) / Gateway Team

2022.01 - 2022.08

Microsoft

Data Mining Engineer (Internship) / BingViz Team

Papers

[Under review] Zijing Zhang, Hui Deng, Meijun Sun and Naihao Xu, “PCB defect detection model based on multi-head self-attention and adaptive fusion network in complex contexts”, Expert Systems With Applications (ESWA), 2025

[Under review] Zijing Zhang, Bate Liu and Jianfei Xiao, “HiLiteMamba: A Lightweight and High-Frequency Aware Network for Single Image Super-Resolution”, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025

Awards

2022.8

2022 National Compiler System Design Competition - Third Prize

Mercuri SysY Compiler

https://course.educg.net/course/6-124

2022.7

The 8th China International “Internet+” Competition Beijing - Gold Award

Dancing Metaverse - Intelligent Digital Virtual Human Motion Capture Engine

https://cy.ncss.cn/memberproject/detail/8a808087806fb70d0180dd2df09d3990

Skills

Tech Stack

AI Proficient in deep learning-based CV techniques such as CNNs, RNNs, and transformers, supported by thorough reading and critical evaluation of key scholarly papers to stay current with advancements.

Compiler In depth. Implemented lots of compilation optimization algorithms, be able to do static analysis (control flow analysis, data flow analysis, liveness analysis). LSRA and graph coloring register allocation algorithms.

PL I can program in most modern programming languages, including C++, Python, Java, and Rust.

English IELTS 6.5 (Listening: 6.5, Reading: 7.5, Writing: 6.5, Speaking: 5.5)

DevOps: Ability to use Git and Github devops. Linux Familiar with common Linux distriiutions and shell script. Docker Familiar with docker compose iuilding and deployment. Data analysis Kibana, Grafana and other daily tools. Spark, Livy, HDFS, Delta Lake, etc.