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

Projects

Learning Brain Tumor Representation in 3D High-Resolution MR Images via Interpretable State Space Models
In this project, we investigate the State Space Models, especially Mamba. We use Masked Image Modeling pre-training strategy, and fintune the model for 3D radiomics analysis. We evaluate the model in terms of downstream classification task and its latent space interpretability.
Qingqiao Hu, Daoan Zhang, Jiebo Luo, Zhenyu Gong, Benedikt Wiestler, Jianguo Zhang, Hongwei Bran Li
PDF Code
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 Zhang, Jan S. Kirschke, Benedikt Wiestler, Bjoern Menze, Jianguo Zhang, Hongwei Bran Li
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Publications

Xiaotong Zhang, Qingqiao Hu, Zhen Xiao, Tao Sun, Jiaxi Zhang, Jin Zhang, Zhenjiang Li (2024). Few-Shot Adaptation to Unseen Conditions for Wireless-Based Human Activity Recognition Without Fine-Tuning. IEEE TMC 2024.

PDF DOI

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