Academic Profile of Ruoyu Zhang
I am Ruoyu Zhang, and I have obtained my Master’s degree in Software Engineering from Guizhou University. I am currently applying for PhD programs for the Fall 2025 intake. Additionally, I am open to opportunities for the Spring 2025 intake, should there be availability. Below is an overview of my background:
EDUCATION
Guizhou University Guizhou, China
Supervisor: Prof. Lihui Wang Sep 2021 – July 2024
Master in Software Engineering
( Ranked 10th in Software Engineering in China (Top 7%, 2024 ShanghaiRanking) ShanghaiRanking 2024 - Software Engineering )
GPA: 3.24/4 (Ranked 1st out of 44 students in comprehensive evaluation)
Shandong University of Science and Technology Qingdao, China
B.S. in Computer Science Sep 2016 – July 2020
GPA: 82.02/100
PESEARCH INTERESTS
Machine Learning, Computer Vision and Pattern Recognition, MR/AR/VR, Human-Computer Interaction, Educational Technology
PUBLICATIONS
LGST-Drop: Label-guided structural dropout for spatial–temporal convolutional neural networks Hu Cui, Renjing Huang, Ruoyu Zhang, Chuhua Huang Journal of Electronic Imaging, IF: 31(3): 033036-033036, 2022
Brief Description: This work utilizes deep learning methods for action recognition and improves the performance of convolutional neural networks through a novel dropout method.
PREPRINTS
GESH-Net: Graph-Enhanced Spherical Harmonic Convolutional Networks for Cortical Surface Registration Ruoyu Zhang, Lihui Wang, Kun Tang, Jingwen Xu, Hongjiang Wei, Arxiv Preprint
Please note that this preprint represents early findings and has not yet undergone thorough revision. The results are preliminary and are intended to provide an initial insight into my research.
Brief Description: This work is dedicated to the study of deep learning methods on non-Euclidean shapes. By applying convolutional neural networks and graph attention on spherical surfaces, it enhances the performance of cortical surface image registration.
DSTSA-GCN: Advancing Skeleton-Based Gesture Recognition with Semantic-Aware Spatio-Temporal Topology Modeling Hu Cui, Renjing Huang, Ruoyu Zhang, Tessai Hayama
RESEARCH EXPERIENCE
• Cortical Surface Image Registration Research
Intelligent Medical Image Analysis and Precision Diagnosis Lab(IMIAPD Lab) Oct 2022 – Jun 2024
Research assistant, supervised by Prof. Lihui Wang
Processed large-scale cortical surface data and developed a deep learning model for cortical surface registration, improving alignment and analysis accuracy.
Conducted research on spherical convolutional neural networks (Spherical CNNs), focusing on applying them to cortical surface data for advanced spatial analysis.
• Intelligent Recognition of Fatigue Driving Based on Edge-Cloud Collaborative Computing
IMIAPD Lab and Network Security Laboratory Oct 2023 – Jan 2024
Research assistant, supervised by Prof. Lihui Wang & Guowei Shen
Developed an edge-cloud collaborative application system aimed at faster detection of fatigue and distracted driving.
Designed an object detection model based on YOLOv8 and quantized it for deployment in the ModelBox development framework to enhance inference speed. Achieved efficient communication between edge and cloud under the Linux system, and implemented multiple fatigue driving alert features.
• Perception and Tracking Algorithms for AR Devices
Artificial Intelligence Lab Aug 2021 – Oct 2022
Research assistant, supervised by Prof. Chuhua Huang
Developed and implemented SLAM (Simultaneous Localization and Mapping) technology for AR devices and smartphones, enhancing real-time spatial awareness and interaction.
Collaborated on the development of a deep learning model for action recognition, optimizing accuracy and performance for real-world applications.
• Deep Learning-Based Open-Domain Generative Chatbot
School of Computer Science Jan 2020 – May 2020
Conducted data preprocessing on publicly available Chinese corpora, including data cleaning, word segmentation, and building training datasets.
Used Long Short-Term Memory (LSTM) to construct a deep learning model for natural language dialogue generation, resulting in a Chinese chatbot capable of multi-turn conversations, with improved coherence and naturalness through model structure optimization and training strategies.
SELECTED AWARDS AND HONORS
• Special Academic Scholarship (Top 3%), Guizhou University 2024
• National First Prize(Top 1% to 3%), 18th “Challenge Cup” National College Students’ Extracurricular Academic Science and Technology Competition 2023
• First-class Graduate Academic Scholarship (Top 5%), Guizhou University 2022
• National Third Prize(Top 20%), Robocom Robotics Developer Competition 2022
• Second-class Scholarship (Top 20%), Shandong University of Science and Technology 2017 & 2018
WORK EXPERIENCE
• Java Backend Developer & Database Manager Dec 2021 – May 2022
Hangzhou Zhuokun Technology Co., Ltd.
The project aimed to create health cards for disabled individuals in Guiyang, providing health cards to over 10,000 disabled individuals in Guizhou to ensure free access to public services like transportation.
Developed the backend system in Java, managed databases, and coordinated data-related tasks with the Guizhou Disabled Persons’ Federation.
• Lecturer in Data Structures Sept 2022 – Jan 2023
Guiyang Institute of Information Science and Technology
- Delivered lectures for the Data Structures course, designed and created teaching materials, homework and exams. for approximately 120 students across two classes.
INVITED TALKS AND MEDIA COVERAGE
• Invited talk for the 2023 3rd International Conference on Artificial Intelligence, Robotics, and Communication (ICAIRC 2023), Xiamen, China, December 23, 2023.
SKILLS
Technical Skills: C/C++, Java, Python (Pytorch, Tensorflow, PyG), LaTeX, MATLAB, Development and debugging on Linux servers, Statistics
Language Skills: English(IELTS Band 6.5, Listening 6 Reading 8 Writing 6 Speaking 5.5), Mandarin(Native)
Soft Skills: Effective communication in technical and academic contexts, Strong teamwork and collaboration abilities in multidisciplinary projects