Research output per year
Research output per year
Personal profile
Personal profile
Dr. Chengyu Wang is currently an Assistant Professor at the HeXie Management Research Centre, College of Industry-Entrepreneurs, XJTLU.
Over the past five years, Dr. Wang has published six academic papers as the first author in SCI journals or international conferences; he is also the first inventor of three invention patents. Before joining XJTLU, he worked as an R&D manager at a high-tech startup company, where he was also responsible for applying for several talent and funding projects in Jiangsu Province and Suzhou City on behalf of the company and its founder. Furthermore, he has successfully managed several industry-academia cooperation projects with the University of Science and Technology of China, Soochow University, and the National University of Singapore (Suzhou) Research Institute.
Research interests
Computer vision, medical image processing, deep learning, large language models, multimodal learning, contrastive learning, and the innovative integration of HeXie Management Theory with computable organization models and bionics.
Experience
Assistant Professor, Xian Jiaotong-Liverpool University, 2023 to now
Project Manager, RD Manager of DMetrix (Suzhou) Medical Technology Co., LTD, 2012 to 2018
RD Engineer, Project Manager of Suzhou Beelinker Technology Co., Ltd, 2009 to 2012
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
PhD, Mathematical Sciences, University of Liverpool, 2018 to 2023
Master's degree, Software Engineering, Southeast University, 2006 to 2009
Bachelor's degree, Computer Science and Technology, Jiangnan University, 2001 to 2005
Person Types
- Staff
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Fully Automatic Karyotyping via Deep Convolutional Neural Networks
Wang, C., Yu, L., Su, J., Shen, J., Selis, V., Yang, C. & Ma, F., 22 Mar 2024, In: IEEE Access. 12, p. 46081-46092 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
图像分类方法,模型,存储介质及电子设备
Translated title of the contribution :Image classification method and model, storage medium and electronic equipment Research output: Patent
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Down Syndrome detection with Swin Transformer architecture
Wang, C., Yu, L., Su, J., Mahy, T., Selis, V., Yang, C. & Ma, F., Sept 2023, In: Biomedical Signal Processing and Control. 86, 105199.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
CNN based Chromosome Classification Architecture for Combined Dataset
Wang, C., Han, M., Wu, Y., Wang, Z., Ma, F. & Su, J., 2021, Proceedings - 2021 6th International Conference on Communication, Image and Signal Processings, CCISP 2021. Zhang, J. (ed.). Institute of Electrical and Electronics Engineers Inc., p. 69-74 6 p. (Proceedings - 2021 6th International Conference on Communication, Image and Signal Processings, CCISP 2021).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
3 Citations (Scopus) -
Extended ResNet and label feature vector based chromosome classification
Wang, C., Yu, L., Zhu, X., Su, J. & Ma, F., 2020, In: IEEE Access. 8, p. 201098-201108 11 p.Research output: Contribution to journal › Article › peer-review
Open Access12 Citations (Scopus)