Zhengxiang Sun
Sydney,Australia
Summary
I am an Honours student majoring in Computer Science and minoring in Data Science. I am a collaborative, hardworking individual with strong academic and research performance. I have participated in various computer science and data science programs, and I am always eager to take on new challenges and solve complex problems.
Overview
1
1
year of professional experience
1
1
Certification
Work History
Project Experience - Low-Res Vs. High-Res Images
Faculty of Engeering,The University of Sydney
Sydney, Australia
08.2024 - 11.2024
- Conducted a comparative study on the performance of different YOLO model variants for long-range vehicle detection under varying image resolutions. Our team evaluated YOLOv8 and YOLOv10 across high-resolution and low-resolution datasets, focusing on their accuracy in detecting small, distant targets. Throughout the project, we maintained weekly communication with the client to adapt to evolving requirements. This capstone project received a final grade of 93, and the work was documented in a detailed final report:https://docs.google.com/document/d/1gPdf5cWuf11ros_-8-tQLzAG2NiB9eCunlkoVCVP3qg/edit?tab=t.0
Project Experience - WeChat Mini Program – Informa
Startup
Sydney, Australia
09.2024 - Current
- Developed a WeChat Mini Program that serves as a user-driven information-sharing platform, allowing users to upload and share resources with others. I was responsible for backend design, implementing cloud function calls, and participating in the development of the database architecture. Search in Wechat: 留学邦
Project Experience - Hackthon
Faculty of Engeering,The University of Sydney
Sydney, Australia
04.2024 - 04.2024
- We created a web platform for a social network and made it like a game. It allows users to pinpoint on a shared map. Users can choose the type of point they pinned. For now, there are three types: emergency, reward tasks, and normal. The first two tasks are just as they are called, while the third one is normal points, which may include some daily activities. We also built a chatroom; every point has a unique ID, and people could use this ID to join the chatroom about that point. We achieved a high ranking in the final round. Link:https://devpost.com/software/netshall
Project Experience - Datathon
Sydney Uni Data Society
Sydney, Australia
09.2024 - 09.2024
- Leveraged sentiment-related vocabulary from social media to predict stock market movements, focusing on Apple Inc. Using the dataset provided by the competition, we analyzed social media sentiment—classified as positive, neutral, or negative—during Apple’s product launch periods. We then calculated sentiment frequency distributions and used them to fit and evaluate our predictive model.
Research Internship
Faculty of Engeering,The University of Sydney
Sydney, Australia
08.2024 - 02.2025
- Investigated cross-modal synthesis between MRI and PET using diffusion models. Implemented and improved diffusion-based architectures to generate PET images from MRI inputs, aiming to enhance synthesis quality and structural consistency. Achieved improved performance through model refinement and parameter tuning.
Research Internship (honours Degree)
Faculty of Engeering,The University of Sydney
Sydney, Australia
01.2025 - Current
- Currently undertaking an Honours research project focused on the lightweight optimization of diffusion models. Given the high computational demands of diffusion-based methods, the project aims to reduce resource consumption through algorithmic improvements while maintaining synthesis quality and performance.
Research Internship
Faculty of Engeering,The University of Sydney
Sydney, Australia
07.2024 - 08.2024
- Researched the application of diffusion models for glioma cell segmentation. Conducted a focused review of recent generative models, including GANs, VAEs, and diffusion-based methods, summarizing their performance in glioma segmentation tasks. Reproduced and evaluated key segmentation pipelines using public datasets, with a focus on diffusion models to assess their effectiveness in capturing fine-grained tumor boundaries.
Research Internship
Bio-Microelectronics and Healthcare Group, School of Microelectronics, Shandong University
Jinan, China
11.2023 - 03.2024
- Self-learned artificial neural networks (ANNs) and convolutional neural networks (CNNs) through online resources, and applied generative adversarial networks (GANs) to two key medical imaging tasks: (1) early-stage lung cancer prediction using high-resolution computed tomography (HRCT) images, and (2) ultra-sparse view CT image reconstruction. The outcomes of this work were successfully published in a peer-reviewed research paper.
Education
Honours Degree - Computer Science (Generative AI)
The University of Sydney
Sydney, Nsw11-2025
Bachelor of Science - Computer Science, Data Science
University of Sydney
Sydney, NSW12.2024
Skills
- Machine learning
- Generative AI (diffusion)
- Data analysis
- Programming languages (Python, C, Java, R)
- Technical writing
- Effective communication
- Team collaboration
Languages
English
Professional
Chinese (Mandarin)
Native/ Bilingual
Certification
- CSUF: Compressed Sensing U-Net with Feedback for Ultra-sparse View CT Image Reconstruction Co-auther Accepted by Journal of X-Ray Science and Technology)
- BiDiBM: Bidirection Block Matching Based Speckle Tracking for Echocardiography Co-author. submitted to Journal of Imaging Informatics in Medicine
- BiDiBM: Bidirection Block Matching Based Speckle Tracking for Echocardiography
Co-author. Currently under revision based on peer review comments, submitted to the Journal of Imaging Informatics in Medicine.
Accomplishments
- Vice Chancellor's Global Mobility Scholarship
Timeline
Research Internship (honours Degree)
Faculty of Engeering,The University of Sydney
01.2025 - Current
Project Experience - WeChat Mini Program – Informa
Startup
09.2024 - Current
Project Experience - Datathon
Sydney Uni Data Society
09.2024 - 09.2024
Project Experience - Low-Res Vs. High-Res Images
Faculty of Engeering,The University of Sydney
08.2024 - 11.2024
Research Internship
Faculty of Engeering,The University of Sydney
08.2024 - 02.2025
Research Internship
Faculty of Engeering,The University of Sydney
07.2024 - 08.2024
Project Experience - Hackthon
Faculty of Engeering,The University of Sydney
04.2024 - 04.2024
Research Internship
Bio-Microelectronics and Healthcare Group, School of Microelectronics, Shandong University
11.2023 - 03.2024
Honours Degree - Computer Science (Generative AI)
The University of Sydney
Bachelor of Science - Computer Science, Data Science
University of Sydney
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