Winston Hu

Winston Hu

CS Ph.D. student

Stony Brook University

Biography

Hi, I am Qingqiao (Winston) Hu, a CS PhD student at Stony Brook University. I am doing research in machine learning and medical imaging analysis. I finished my master at UCLA ECE department, working with Prof. Vwani Roychowdhury. I work closely with Prof. Jianguo Zhang and Dr. Hongwei (Bran) Li on medical imaging analysis during my master and my bachelor.

Download my resumé .

Interests
  • Medical Imaging Analysis
  • Machine Learning
Education

  • Ph.D. in Computer Science, 2029

    Stony Brook University

  • M.S. in Electrical and Computer Engineering, 2024

    University of California, Los Angeles

  • BEng in Computer Science and Technology, 2021

    Southern University of Science and Technology

Publications

Qingqiao Hu*, Hao Wang*, Jing Luo, Yunhao Luo, Zhiheng Zhangg, Jan S. Kirschke, Benedikt Wiestler, Bjoern Menze, Jianguo Zhang, Hongwei Bran Li (2023). Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural Networks. arXiv 2023.

PDF Code Project

Qingqiao Hu*, Hongwei Li*, Jianguo Zhang (2022). Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach. MICCAI 2022.

PDF Code Poster

Projects

Bayeisan One-Encoder-Multiple-Decoder (BOEMD) Network
In this project, we1 proposed a simple yet effective Bayesian Neural Network (BNN) framework, especifically designed for inter-rater uncertainty quantification probelm in medical imaging. We call this framework, Bayesian One-Encoder-Multiple-Decoder (BOEMD) network.
Qingqiao Hu*, Hao Wang*, Jing Luo, Yunhao Luo, Zhiheng Zhangg, Jan S. Kirschke, Benedikt Wiestler, Bjoern Menze, Jianguo Zhang, Hongwei Bran Li
PDF Code