My interest lies in Machine Learning and Computer Vision, with real-world applications. Proficient in Python/C++/Linux/PyTorch, I have extended experience with data collection/labeling, transfer learning, semi-supervised learning, data visualization, statistical analysis, high performance computing, distributed system, network programming, 3D graphics, GUI programming, Web design, operating system, hardware/low-level programming, software delivery. I have designed computer vision models to solve medical imaging problems, with top conference/journal publications. With a solid theory/engineering background and a good collaborative personality, I’m open to new computing challenges, and always eager to learn.

📖 Educations

• *2016.09 - 2023.05, Ph.D. Computer Engineering, University of Maryland.
• 2016.09 - 2020.01, M.Sc. Computer Engineering, University of Maryland.
• 2009.09 - 2013.06, B.Eng. Electrical Computer Engineering, Zhejiang University.

📝 Publications

Under submission to IEEE Journal of Biomedical And Health Informatics

MSLS: Multi-Sensitivity Segmentation and Lesion-Shuffle Training for Liver Tumor Detection, IEEE Journal of Biomedical And Health Informatics, Under submission

Fakai Wang, Chi-Tung Cheng, Chien-Wei Peng, Ke Yan, Chien-Hung Liao, Min Wu, Le Lu, and Ling Zhang

IEEE Transactions on Medical Imaging

Lumbar Bone Mineral Density Estimation from Chest X-ray Images: Anatomy-aware Attentive Multi-ROI Modeling, IEEE Transactions on Medical Imaging, published Sept 2022

Fakai Wang, Kang Zheng, Le Lu, Jing Xiao, Min Wu, Chang-Fu Kuo, Shun Miao

CVPR 2021

Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-constrained Optimization, CVPR 2021

Fakai Wang, Kang Zheng, Le Lu, Jing Xiao, Min Wu, Shun Miao

MICCAI PRIME workshop

Opportunistic Screening of Osteoporosis Using Plain Film Chest X-ray, MICCAI PRIME 2021

Fakai Wang, Kang Zheng, Yirui Wang, Xiaoyun Zhou, Le Lu, Jing Xiao, Min Wu, Chang-Fu Kuo, Shun Miao

Master thesis

Joint Space Narrowing Classification based on Hand X-Ray Image, Master thesis 2020

Fakai Wang

• Semi-supervised Learning for Bone Mineral Density Estimation in Hip X-Ray Images, Kang Zheng, Yirui Wang, Xiao-Yun Zhou, Fakai Wang, Le Lu, Chihung Lin, Lingyun Huang, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Shun Miao, MICCAI 2021

• Scalable Semi-supervised Landmark Localization for X-ray Images Using Few-Shot Deep Adaptive Graph, Xiao-Yun Zhou, Bolin Lai, Weijian Li, Yirui Wang, Kang Zheng, Fakai Wang, Chihung Lin, Le Lu, Lingyun Huang, Mei Han, Guotong Xie, Jing Xiao, Kuo Chang-Fu, Adam Harrison, Shun Miao , MICCAI workshop 2021

• Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning, Chen-I Hsieh, Kang Zheng, Chihung Lin, Ling Mei, Le Lu, Weijian Li, Fang-Ping Chen, Yirui Wang, Xiaoyun Zhou, Fakai Wang, Guotong Xie, Jing Xiao, Shun Miao, Chang-Fu Kuo, Nature Communications Sept 2021

🎖 Honors and Awards

• 2022.06 Ann G. Wylie Dissertation Fellowship, University of Maryland.
• 2013 Outstanding Graduates, Zhejiang University.
• 2013 Extraordinary Member, the Edison Class, ECE, Zhejiang University.
• 2012 Second Prize, National Final of Freescale Intelligent Car Racing.

💻 Internships

• 2022.01 - 2022.08, Alibaba, New York, USA.
• 2021.03 - 2021.12, PAII inc., Bethesda, USA.
• 2020.03 - 2020.12, PAII inc., Bethesda, USA.
• 2019.09 - 2019.12, PAII inc., Bethesda, USA.
• 2018.05 - 2018.08, SRI International, New Jersey, USA.

💻 Employment

• 2013.07 - 2015.07, Huawei, Hangzhou, China.