Nuojunxi Zhang (Steven)

Computer Science @ Kean University (Expected May 2026)

Research in Weakly Supervised Segmentation and Active Learning

Dean’s Honor List • 3.91 GPA (2024-2025)

Publications

Segmenting What Matters: A Dual-Stage Active Learning Framework for Weakly Supervised Breast Ultrasound Segmentation

Nuojunxi Zhang, Meng Xu, Guanchao Tong, and Kuan Huang

IEEE International Conference on Bioinformatics and Biomedicine (IEEE-BIBM 2025)

Status: Accepted

see detail in above pages

NSF-Funded Research Assistant - Kean University (2024-Present)

Developed dual-stage active learning framework for weakly supervised tumor segmentation using breast ultrasound datasets
Achieved 68.25% IoU and 79.39% DSC on BUSI dataset with SAM-enhanced pseudo labels
First-author paper accepted at IEEE-BIBM 2025 under Prof. Kuan Huang supervision

Medical Imaging Research - Wenzhou-Kean University (2023-2024)

Synthetic medical image generation using VAE and diffusion models for data augmentation
Computer vision applications for healthcare rehabilitation systems

Bachelor of Science in Computer Science

Kean University

Expected May 2026

ML/DL: PyTorch, TensorFlow, SAM, OpenCV, Scikit-learn

Programming: Python, Java, C#, MATLAB

Specialized: Medical Image Processing, Computer Vision, Active Learning, Weakly Supervised Learning

Tools: Git, Docker, CUDA, Linux