Hi! I’m a third-year PhD student at the University of Washington, advised by Prof. Jenq-Neng Hwang and Prof. Linda Shapiro. Previously, I obtained my master’s degree from Sun Yat-sen University, supervised by Prof. Yao Lu.

My research centers on diffusion models for human motion generation and fine-grained video understanding, building encoders that distinguish subtle motion details across large and diverse datasets. I also work on medical image analysis, video grounding, and object detection, combining machine learning research with hands-on engineering experience in scalable data pipelines, real-time computer vision systems, software development, and databases.

News

• May 2026: I will be joining Amazon as an Applied Scientist Intern in Summer 2026.

Selected Publications

1. Beyond Region Memory: Local Point Tracking for Vocal Cord Localization in Video Laryngoscopy
   Wang, H., Ko, G., Kim, J. H., Jian, J. X., et al.
   Accepted by WACV 2027

2. CLEP: Contrastive Language-Pose Pretraining
   Jia, S., Wang, H., Huang, H., An, Z., Hwang, J. N., Zhang, H., & Li, L.
   CVPR 2026

3. TEMPURA: Temporal Event Masked Prediction and Understanding for Reasoning in Action
   Cheng, J. H., Peng, Y. H., Zhou, H., Wang, V., Wang, H., Huang, H. W., et al.
   COLM 2026

4. Privacy-Preserving Radar-Based Italian Sign Language Recognition via ConvNeXt and Ensemble Learning
   Wang, H., Tan, Z., Jian, J. X., Zou, S., Huang, S., Chung, P. C., & Hwang, J. N.
   CVPR 2026 Workshop

5. Detector-in-the-Loop Tracking: Active Memory Rectification for Stable Glottic Opening Localization
   Wang, H., Alattar, B., & Hwang, J. N.
   MIDL: Medical Imaging with Deep Learning 2026

6. CrossFusion: A Multi-Scale Cross-Attention Convolutional Fusion Model for Cancer Survival Prediction
   Soraki, R., Wang, H., Elmore, J. G., & Shapiro, L.
   MIDL: Medical Imaging with Deep Learning 2026

7. Concepts from Neurons: Building Interpretable Medical Image Diagnostic Models by Dissecting Opaque Neural Networks
   Gong, S., Wang, H., Zhang, X., & Dou, Q. (2025).
   International Conference on Information Processing in Medical Imaging (IPMI)

8. 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).
   Medical Physics

Working Experience

Research Assistant, University of Washington, Since 2023

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

Teaching Experience

• EE 215: Fundamentals of Electrical Engineering
• EE 344: Data-Driven Modeling and Machine Learning
• EE 443: Machine Learning for Signal Processing Applications
• EE 596: Advanced Topics in Signal and Image Processing