WangZeqiang

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Wang Zeqiang 王泽强
Smart Medical Center, Institute of Basic Medicine and Oncology, Chinese Academy of Sciences
Visiting Student
Mail:
ZeqiangWang.MedicalAI@outlook.com Zeqiang.Wang22@student.xjtlu.edu.cn
Concat:
Xi'an Jiaotong-Liverpool University, 111 Ren'ai Road, Suzhou Industrial Park, Suzhou

Education

MRes,Department of Computer Science, University of Liverpool (Xi’an Jiaotong-liverpool University) 2022.09-

B.S,Department of Computer Science and Technology (Honor Class), Hunan Agricultural University 2017.09-2021.6

RESEARCH EXPERIENCE

Department of Nephrology, Peking University First Hospital-2021.10-

Validation of Risk Prediction Equations for Incident Chronic Kidney Disease under the guidance of Dr. Jinwei Wang.

Yang Jie’s Laboratory, School of Medicine, Zhejiang University-2021.07-2022.10

Working at the intersection of medical and artificial intelligence under the supervision of Prof. Jie Yang, my main research interests are in natural language processing based on medical texts, including work on named entity recognition and embedding of external knowledge sources.

Research Office of Artificial Intelligence and Intelligent Agriculture, Hunan Agricultural University-2017.09-2021.06

Under the supervision of Prof. Yiming Chen, I am engaged in research related to deep learning and computer vision. My research interests are in computer vision based on deep learning, focusing on classification, detection and segmentation models therein and applying them to document image detection and analysis tasks.

Research Project

Research and Application of Table Detection Algorithm Based on Transformer-Excellent (Graduation Thesis of Hunan Agricultural University)

PDF Text Information Structuring Engine based on Deep Learning

Xiaoxiang Research Institute of Big Data-2018.09-2020.12

Research at the intersection of computer vision and plant science under the supervision of Prof. Jun Xu and Mr. Wukun Yi, focusing on the classification of bamboo species and vine man cross-sectional images and further use of detection and segmentation algorithms to calculate morphological parameters: vascular bundles (water transport channels) and tissue ratios (support cells attached around pipes) in bamboo species.

Research Project

Recognition and detection of vascular bundles based on deep learning (International Center for Bamboo and Rattan-National Natural Science Foundation of China)

LEADSHIP EXPERIENCE

Artificial Intelligence Association of Hunan Agricultural University-2019.06-2020.06

MISCELLANEOUS

Certifications: