Huayu Wang

Huayu Wang

Hi! I’m a third-years PhD student in University of Washington, advised by Prof.Jenq-Neng Hwang and Linda Shapiro.

Previously, I obtained my master’s degree from Sun Yat-sen University, supervised by Prof.Yao Lu.

My current research interest is in human-centered AI, including human motion representation and environment interaction. I am also working on medical image analysis across different modalities. I have hands-on engineering experience as both a Machine Learning Engineer and a Software Engineer, with skills spanning from algorithm development to platform construction.

Publications

  1. Tempura: Temporal Event Masked Prediction and Understanding for Reasoning in Action
    Cheng, J. H., Wang, V., Wang, H., … & Hwang, J. N. (2025).
    Long video reasoning and understanding

  2. Morphology and Texture-Guided Deep Neural Network for Intracranial Aneurysm Segmentation in 3D TOF-MRA
    Orouskhani, M., Firoozeh, N., Wang, H., … & Zhu, C. (2024).
    Propose a loss function based on morphology and texture to improve 3D segmentation performance

  3. The Uncertainty of Boundary Can Improve the Classification Accuracy of BI-RADS 4A Ultrasound Image
    Wang, H., Hu, Y., Lu, Y., Zhou, J., & Guo, Y. (2022).
    Uncertainty of tumor boundary was defined and used for classification

  4. Concepts from Neurons: Building Interpretable Medical Image Diagnostic Models by Dissecting Opaque Neural Networks
    Gong, S., Wang, H., … & Qi, D. (2025).
    Extract human-understandable clinical concepts for explainable AI

  5. CrossFusion: A Multi-Scale Cross-Attention Convolutional Fusion Model for Cancer Survival Prediction
    Soraki, R., Wang, H., Elmore, J. G., & Shapiro, L. (2025).
    Fusion of multi-scale information improves classification results

  6. Uncertainty-Aware Semi-Supervised Method for Pectoral Muscle Segmentation
    Tang, Y., Guo, Y., Wang, H., Song, T., & Lu, Y. (2025).
    Combine the semi-supervised segmentation and uncertainty estimation in segmentation

Working Experience

Research Assistant, University of Washington, Since 2023

Full-time Research Scientist, Harborview Medical Center, 2023 Spring

Full-time Machine Learning Engineer, MicroPort MedBot Corporation, 2022-2023

Intern at the Precision Health Institution of GE, GE Healthcare Fall, 2020

Full-time Software Engineer, Perception Vision Medical Technologies 2017-2018