Yang Jianwei

Yang Jianwei

Educational experience:

Undergraduate 2015/09–2019/06 Yancheng Normal University

Master 2019/09-2022/06 Nanjing University of Posts and Telecommunications

PhD 2024/09-present Nanjing University of Information Science & Technology

Work experience:

2022/08-2023/05 oppo (Shanghai) Software Development Engineer

2023/08-2024/04 Suzhou Ruixin Microsystem Technology Co., Ltd. Software Development Engineer

Skills:

Programming language: Python, C/C++, LaTeX,

Foreign language ability: College English CET-4 and CET-6

Research projects:

Application of computer vision and deep learning methods in medical image analysis, disease diagnosis, and prognosis

Thesis results:

[1] Cailing Wang, Jianwei Yang, Guoping Jiang, “Learning image embeddings without labels,” J. Electron. Imaging 30(5), 050502 (2021)

Honors & Awards:

2019-2020 Nanjing University of Posts and Telecommunications Third Class Scholarship

2020-2021 Nanjing University of Posts and Telecommunications Second-Class Scholarship

2021-2022 Nanjing University of Posts and Telecommunications Second-Class Scholarship

Translated from the original Chinese source.

Tags :
Share :

Related Posts

Yuan Mingzhi

Yuan Mingzhi

Yuan Mingzhi, Ph.D., is a lecturer at the School of Artificial Intelligence (College of Future Technology), Nanjing University of Information Science & Technology, and a core member of the Jiangsu University Key Laboratory of Intelligent Medical Image Computing and the Smart Medical Research Institute. Obtained a bachelor’s degree in engineering (communication engineering) from Harbin Institute of Technology in June 2020, and a doctorate in engineering (biomedical engineering) from Fudan University in June 2025. The current main research directions are intelligent drug design, three-dimensional computer vision, etc. In the past three years, he has published 25 papers in top conferences and journals such as ICCV, ECCV, CVPR, ICRA, and BIB, including 17 first authors (including co-authors). He has long served as a reviewer for important journals in the field, TPAMI, TIP, RAL, and Automation Journal.

Read More
Hu Danqing

Hu Danqing

Hu Danqing, Ph.D., is a lecturer at the School of Artificial Intelligence (College of Future Technology), Nanjing University of Information Science & Technology, and a core member of the Jiangsu University Key Laboratory of Intelligent Medical Image Computing and the Smart Medical Research Institute. He graduated from Shandong University with an undergraduate degree in 2014, and graduated from Zhejiang University with a master’s degree and a doctoral degree in 2017 and 2022 respectively. Research directions include medical artificial intelligence, medical informatics, lung cancer full-process decision support, etc. Currently, he presides over the National Natural Science Youth Fund, and participates in the Beijing Natural Science Foundation Haidian Original Innovation Key Project, the “13th Five-Year Plan” National Key Research Special Precision Medicine Research Project, and the National Natural Science Foundation General Project. Published 17 papers in important medical information journal conferences such as IEEE JBHI, AIM, IJMI, IEEE EMBC, etc., and was the first author of 14 articles. He applied for 11 invention patents, 4 first inventor authorizations, and 4 authorized software copyrights. He won the CHIP2018 Best Paper Award from the Chinese Information Society of China. He has long served as a reviewer for important journals in the field IEEE JBHI, AIM, JMIR, CMPB, ESWA, IJMI, and JBI.

Read More
Luo Yuemei

Luo Yuemei

Luo Yuemei is a professor at the School of Artificial Intelligence of Nanjing University of Information Science & Technology, a Longshan Scholar, a national-level overseas young talent, and a core member of the Jiangsu University Key Laboratory of Intelligent Medical Image Computing and the Intelligent Medical Research Institute. She graduated from the University of Electronic Science and Technology of China with a bachelor’s degree, and then received a doctorate from Nanyang Technological University in Singapore and conducted postdoctoral research. She has published more than 40 papers in recent years. He has been engaged in the research of medical high-resolution optical coherence tomography technology for a long time. His main research direction is micron resolution optical coherence tomography (micro-OCT) and its application in the fields of gastrointestinal tract, cardiovascular, skin, and ophthalmology. The specific directions include the promotion and application of endoscopic micro-OCT in gastrointestinal and cardiovascular imaging, the application and promotion of micro-OCT in ophthalmology and skin imaging, non-destructive optical detection, and medical image recognition based on deep learning. Google Scholar homepage: https://scholar.google.com.sg/citations?user=piaBPSEAAAAJ&hl=en. Students who are interested in the research direction of this research group are welcome to join. Contact information: luoyuemei@nuist.edu.cn.

Read More