Welcome to my personal website, where I share my passion and expertise in CS related fields.

💬 About Me

I am a first-year Master of Engineering student at UCLA Samueli School of Engineering and a graduate of Shanghai Jiao Tong University from the ParisTech Elite Institute of Technology. My research interests include computer vision, natural language processing, and large language models.

📝 Publications

CEIP 2023

Zhiyu Liu, Yongqing Qu

Supervised by Prof. Mark Vogelsberger from MIT, a combination of Convolutional Neural Networks (CNNs) and Vision Transformer (ViT) was used to tackle the crowd counting issue.
CNN do well in local feature extraction, while ViT’s attention mechanism is ideal for global feature extraction. Our approach using integration presents a better performance than the original CNN model.

SRSE 2024

Zhiyu Liu, Zhiyi Zhang, Mohamed Sallak, Siqi Qiu*

My graduation thesis, supervised by Prof. Siqi Qiu, proposes a VMD-enhanced incremental learning model to improve fault diagnosis in rolling bearings.
By addressing catastrophic forgetting and enhancing diagnostic accuracy, it provides an adaptable solution for evolving fault patterns in industrial environments.

2024.06 Outstanding graduate of Shanghai Jiao Tong University (Top 15%)
2023.10 Third-year university student B scholarship of excellence (Top 10%)
2022.11 Merit Student in sophomore year (Top 4%)
2022.10 Second-year university student B scholarship of excellence (Top 15%)
2022.08 The Best Computer Vision Project (1st out of 12 groups) of Imperial College Data Science Online Summer School
2022.07 The First Prize (1st out of 10 groups) of National University of Singapore (NUS) School of Computing (SOC) Summer Workshop
2021.10 First-year university student C scholarship of excellence (Top 30%)

2024.09 - 2025.12 (expected), Master of Engineering, Artificial Intelligence track, UCLA Samueli School of Engineering, Los Angeles, California.
2020.09 - 2024.06, Bachelor’s Degree in Information Engineering & French Language, ParisTech Elite Institute of Technology, Shanghai Jiao Tong University, Shanghai.
- GPA: Information Engineering (91/100). French Language (87/100). Grade rank top 20%
- Courses: C Program and Algorithm Analysis, Database System Introduction, Data Structure, Digital Signal Processing, Optimization Theory, Graph Theory, Probability Theory, Computer Network, Machine Learning, Information Theory and Coding Principles, Computer Composition and Architecture, Mobile Communication System, Programming Language Theory
- Programming languages: Python, C, C++, MATLAB, SQL
- English level: TOEFL iBT score 104 (30 28 21 25), GRE score 337 (Quant 170, Verbal 167, global top 3%)
2016.09 - 2020.06, Nanchang Foreign Languages School (High school), Nanchang.
- Academic record: top 3 among c.600 students (top 0.5%). Early admission to Shanghai Jiao Tong university.

2024.03 - 2024.06 Interned as Large Language Model Engineer at an AI unicorn company MINIMAX
2023.03 - 2024.03 Topography Measurement by EBSD Calibration. Supervised by Prof. Qiwei Shi. Patent application approved
2023.06 - 2023.09 Referring Image Segmentation Research Internship. Supervised by Prof. Miaojing Shi
2023.01 - 2023.03 Crowd Counting Model Research. Supervised by Prof. Mark Vogelsberger. Paper accepted for publication
2022.12 - 2023.09 PRP (Participation in Research Program) project of Shanghai Jiao Tong University, No. 41: High frequency grammar points analysis in engineering French based on Natural Language Processing
2022.07 - 2022.08 Imperial College Data Science Online Summer School
2022.05 - 2022.07 National University of Singapore (NUS) School of Computing (SOC) Summer Workshop
2022.02 - 2022.02 The Mathematical Contest in Modeling (MCM) Project - Problem C - Trading Strategies