Weihua Liu| AI | Best Researcher Award

 Dr. Weihua Liu| AI | Best Researcher Award

 Dr at AthenaEyesCO., LTD. China

With extensive contributions to academia and industry, I’ve authored over 20 influential papers and filed more than 80 patents, underscoring my commitment to innovation at the intersection of AI and healthcare. My career spans leadership in national science foundation projects and pioneering advancements in medical imaging and diagnostic technologies.


  1. Orcid


Post-Doctoral Research Beijing Institute of Technology, School of Medical Technology (Nov 2021 – Jun 2024) Co-supervisor: Chen Duanduan, Focus: Construction and Application of Medical Multi-modal Large Models. PhD in Computer Science Beijing Institute of Technology, School of Computer Science (Sep 2014 – Jun 2021) Supervisor: Liu Xiabi Dissertation: “Deep Network Structure and Its Learning Method Based on Pulmonary Nodule Detection and Lung Parenchyma Segmentation”. Bachelor’s and Master’s Degrees Changsha University of Science and Technology, School of Computer and Communication Engineering Bachelor’s Degree in Computer Science and Technology (Sep 2002 – Jun 2006), Master’s Degree in Software Engineering and Theory (Graduated Jun 2009), Research Focus: Image Processing and Pattern Recognition

🔬Research Projects

National Natural Science Foundation of China Project: Research on Intelligent Assessment Method for Stroke Risk Based on High-Risk Carotid Plaque-Complex Blood Flow Image Feature Analysis (2023-2026). Beijing Natural Science Foundation Project: Research on the Model of Acute Respiratory Distress Syndrome Assisted Diagnosis and Treatment Based on AI and Data Mining (2023-2026). Changsha Major Science and Technology Special Project Research and Application of Trustworthy Intelligent Vision Key Technologies in 5G Environment (2020-2023)

🚀 Professional Experience:

As an AI Algorithm Scientist at 3M’s Beijing Research and Development Center, I spearheaded the development of the BAX framework, a unified cross-platform AI deployment system widely adopted in biometric intelligence systems globally.

💡 Patents:

I’ve filed over 80 patents, showcasing my innovations in areas like multimodality-based medical models, facial recognition, and medical identity authentication.

🌟 Research Expertise:

With a profound focus on AI and healthcare intersections, I bring extensive theoretical knowledge in biometric technology, physiological and psychological computing, and medical assistant diagnosis.

Publications Top Notes 📝

  • Shape-margin knowledge augmented network for thyroid nodule segmentation and diagnosis
    • Year: 2024
    • Authors: Liu, Weihua; Lin, Chaochao; Chen, Duanduan; Niu, Lijuan; Zhang, Rui; Pi, Zhaoqiong
    • Source: Computer Methods and Programs in Biomedicine


  • A pyramid input augmented multi-scale CNN for GGO detection in 3D lung CT images
    • Year: 2023
    • Authors: Liu, Weihua; Liu, Xiabi; Luo, Xiongbiao; Wang, Murong; Han, Guanghui; Zhao, Xinming; Zhu, Zheng
    • Source: Pattern Recognition


  • Stone needle: A general multimodal large-scale model framework towards healthcare
    • Year: 2023
    • Authors: Liu, Weihua; Zuo, Yong
    • Source: arXiv preprint arXiv:2306.16034


  • Contraction Mapping of Feature Norms for Data Quality Imbalance Learning
    • Year: 2022
    • Authors: Liu, Weihua; Liu, Xiabi; Li, Huiyu; Lin, Chaochao
    • Source: Available at SSRN 4250246


  • Integrating lung parenchyma segmentation and nodule detection with deep multi-task learning
    • Year: 2021
    • Authors: Liu, Weihua; Liu, Xiabi; Li, Huiyu; Li, Mincan; Zhao, Xinming; Zhu, Zheng
    • Source: IEEE Journal of Biomedical and Health Informatics


  • A new three-stage curriculum learning approach for deep network based liver tumor segmentation
    • Year: 2020
    • Authors: Li, Huiyu; Liu, Xiabi; Boumaraf, Said; Liu, Weihua; Gong, Xiaopeng; Ma, Xiaohong
    • Source: 2020 International Joint Conference on Neural Networks (IJCNN)


  • URDNet: a unified regression network for GGO detection in lung CT images
    • Year: 2020
    • Authors: Liu, Weihua; Ren, Yuchen; Li, Huiyu
    • Source: Wireless Communications and Mobile Computing


  • Content-sensitive superpixel segmentation via self-organization-map neural network
    • Year: 2019
    • Authors: Wang, Murong; Liu, Xiabi; Soomro, Nouman Q; Han, Guanhui; Liu, Weihua
    • Source: Journal of Visual Communication and Image Representation


  • Hybrid resampling and multi-feature fusion for automatic recognition of cavity imaging sign in lung CT
    • Year: 2019
    • Authors: Han, Guanghui; Liu, Xiabi; Zhang, Heye; Zheng, Guangyuan; Soomro, Nouman Qadeer; Wang, Murong; Liu, Weihua
    • Source: Future Generation Computer Systems