Zhengxiang Sun
Sydney
Summary
I am an Honours student majoring in Computer Science and minoring in Data Science in The University of Sydney. I have participated in various computer science and data science programs, and I am planning to pursue doctoral studies beginning Fall 2026..
Overview
2
2
years of professional experience
1
1
Certification
Work History
Research Internship (honours Degree)
Faculty of Engeering,The University of Sydney
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
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.
Project Experience - Low-Res Vs. High-Res Images
Faculty of Engeering,The University of Sydney
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 - Datathon
Sydney Uni Data Society
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
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.
Project Experience - Hackthon
Faculty of Engeering,The University of Sydney
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
Research Internship
Bio-Microelectronics and Healthcare Group, School of Microelectronics, Shandong University
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
11-2025
Bachelor of Science - Computer Science, Data Science
University of Sydney
Sydney, NSW12.2024
Accomplishments
- Vice Chancellor's Global Mobility Scholarship
Certification
- CSUF: Compressed Sensing U-Net with Feedback for Ultra-sparse View CT Image Reconstruction 2 nd Co-auther Accepted by Journal of X-Ray Science and Technology)
- BiDiBM: Bidirection Block Matching Based Speckle Tracking for Echocardiography 3 rd Co-author. submitted to Journal of Imaging Informatics in Medicine
- SSL-DA: Semi-and Self-Supervised Learning with Dual Attention for Echocardiogram Segmentation 3 rd Co-author. Currently under revision based on peer review comments, Accepted by the journal of imaging informatics in medicine
Languages
English
Professional
Chinese (Mandarin)
Native/ Bilingual
Timeline
Research Internship (honours Degree)
Faculty of Engeering,The University of Sydney
01.2025 - 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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