Boyu Zhang, Ph.D.

Boyu Zhang began his academic career at Jilin University, where he earned a Bachelor's degree in Computer Science & Technology in 2005. He then pursued further studies at Harbin Institute of Technology, receiving a Master's degree in 2009 and a Doctorate in Computer Science & Technology in 2016. After completing his doctorate, Zhang moved to Utah to join the Utah State University's Department of Computer Science as a postdoctoral research fellow.

In 2020, he relocated to Moscow and joined the University of Idaho's Department of Mathematics as a postdoctoral research fellow. His journey at the University of Idaho continued with postdoctoral research fellow positions at IMCI in 2021 and Computational Data Science with a focus on AI at IIDS in 2022.

As of August 2023, Zhang has been a faculty member in the Computer Science Department at the University of Idaho. His research centers on Machine Learning and Computer Vision, with current projects involving AI in wildlife conservation, cell dynamics analysis through Computer Vision, and the use of large language models for multimodal medical imaging diagnosis.

• Machine Learning
• Computer Vision
• Medical Imaging
• Natural Language Processing

• Dynamic Cellular Events in Assembling the Vertebrate Eye
• A Holistic Approach to Interactive Medical Diagnosis via Large Language Model

• Boyu Zhang, Aleksandar Vakanski, and Min Xian. Bi-rads-net-v2: A composite multitask neural network for computer-aided diagnosis of breast cancer in ultrasound images with semantic and quantitative explanations. IEEE Access, 2023.
• Fuchang Gao, Yiqing Ma, Boyu Zhang, and Min Xian. Sepnet: A neural network for directionally correlated data. Neural Networks, 153:215–223, 2022.
• Boyu Zhang, Mushen Zhou, Jianzhong Wu, and Fuchang Gao. Predicting the materials properties using a 3d graph neural network with invariant representation. IEEE Access, 10:62440–62449, 2022.
• Kuan Huang, Yingtao Zhang, HD Cheng, Ping Xing, and Boyu Zhang. Semantic segmentation of breast ultrasound image with fuzzy deep learning network and breast anatomy constraints. Neurocomputing, 450:319–335, 2021.
• Shan Gai, Boyu Zhang, Cihui Yang, and Lei Yu. Speckle noise reduction in medical ultrasound image using monogenic wavelet and laplace mixture distribution. Digital Signal Processing, 72:192–207, 2018.