Projects per year
Personal profile
Personal profile
Jingxin Liu (刘净心) is an Associate Professor in the School of AI and Advanced Computing at XJTLU Entrepreneur College (Taicang). He received his Ph.D in Computer Science at The University of Nottingham in 2018, M.Sc in Signal Processing and Communications from The University of Edinburgh in 2013.Jingxin Liu’s research focus on medical image analysis, especially digital pathology and microscope image analysis, computational pathology, image processing and computer vision. He has published more than 20 peer-reviewed journal articles and conference papers, such as T-MI, MIA, J-BHI, ISBI, MICCAI.In the past years, he has successfully attracted over 2 million research funds from both academia and industry, including NSFC Young Scientist Fund, NSF of the Jiangsu Higher Education Institutions of China General Programme. He was awarded “Dual-Innovation Doctor”(双创博士) of Jiangsu in 2022, and Gusu Innovation and Entrepreneurship Leading Talents (姑苏领军人才) Programme in 2023.
PhD Recruitment
Dr. Liu is currently recruiting PhD students. Candidates with backgrounds in artificial intelligence, biomedical engineering, computational pathology, medical image analysis, and related fields are encouraged to apply. A limited number of half scholarships (tuition fee waived) are available. For project details and scholarship opportunities, please contact [jingxin.liu@xjtlu.edu.cn] directly.
📌 项目组长期招收博士研究生，欢迎人工智能、生物医学工程、计算病理、医学图像分析等相关专业背景的学生联系报名。目前有学费全免的奖学金名额，详情请直接联系刘老师了解。
Research interests
digital pathology image analysis, biomedical image analysis, image processing, machine learning, artificial intelligence
Experience
Associate Professor, Xian Jiaotong Liverpool University, 2024-Present
Assistant Professor, Xian Jiaotong Liverpool University, 2021-2023
AI Technical Director, HISTO Pathology Diagnostic Center, 2020-2021
Post Doctor Researcher, Shenzhen University, 2018-2020
Teaching
DTS101TC, Introduction to Neural Networks
Awards and honours
2023, Gusu Innovation and Entrepreneurship Leading Talents Programme - Youth Innovation Leading Talent ( 苏州市‘姑苏领军-青年创新领军人才’ )
2022, Innovation and Entrepreneurship Talent of Jiangsu Province (江苏省‘双创博士’)
2020, May -First labour Medal Baoshan, Shanghai ( 上海市宝山区‘五一劳动奖章’ )
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
Ph.D, University of Nottingham, 2018
M.Sc, University of Edinburgh, 2013
Research areas
- Artificial Intelligence (AI) and Image Processing
- Computer Vision
- Medical Image Analysis
- Medical image segmentation
- Digital Pathology
- Computational Pathology
Person Types
- Staff
Fingerprint
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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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Research and application of computer-aided quantitative analysis system for multi-type digital pathological images
Liu, J. (PI), Meng, J. (Team member), Wang, W. (Team member), Liu, H. (Team member), Huang, S. (Team member), Gong, H. (Team member) & Zhang, Z. (Team member)
1/07/23 → 30/06/26
Project: Governmental Research Project
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Research on Domain Generalization of Pathological Image Based on Self-supervised Learning
Liu, J. (PI)
1/01/23 → 31/12/25
Project: Governmental Research Project
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MoE Industry-Academia Collaboration Cooperative Education Program - AI Project Design and Implementation Based on Edge Computing
Liu, H. (PI), Li, H. (Team member), Liu, J. (Team member) & Huang, S. (Team member)
1/12/23 → 30/11/24
Project: Other
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Suzhou Multimodal Big Data Innovation Application Lab
Li, H. (PI), Stefanidis, A. (Team member), Su, J. (Team member), Xu, P. (Team member), Liu, H. (Team member), Liu, J. (Team member), Zhao, S. (Team member), Liu, H. (Team member), Huang, S. (Team member), Chen, Q. (Team member), Zhao, Y. (Team member), Zeng, Y. (Team member), Shen, F. (Team member), Sun, N. (Team member) & Lv, Y. (Team member)
1/09/23 → 31/08/25
Project: Governmental Research Project
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Research on Domain Generalization of Pathological Image Based on Self-supervised Learning
Liu, J. (PI), Liu, H. (Team member) & Hou, X. (Team member)
1/09/22 → 31/08/25
Project: Internal Research Project
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Advancing Cross-Organ Domain Generalization with Test-Time Style Transfer and Diversity Enhancement
Meng, B., Long, X., Yang, W., Liu, R., Tian, Y., Zheng, Y. & Liu, J., 2025, ISBI 2025 - 2025 IEEE 22nd International Symposium on Biomedical Imaging, Proceedings. IEEE Computer Society, (Proceedings - International Symposium on Biomedical Imaging).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
1 Citation (Scopus) -
Enhanced Corneal Endothelial Cell Segmentation via Frequency-Selected Residual Fourier Diffusion Models
Wang, T., Nan, X., Wang, Y., Yan, Y., Gao, Z. & Liu, J., 2025, In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings.Research output: Contribution to journal › Conference article › peer-review
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Salience-Enhanced Network for Metal Artifact Reduction in CT Imaging
Wang, J., Su, Y., Zhu, K., Basarah, M. A., Zhong, Y., Liu, Y., Zhao, Y., Stefanidis, A. & Liu, J., 2025, ISBI 2025 - 2025 IEEE 22nd International Symposium on Biomedical Imaging, Proceedings. IEEE Computer Society, (Proceedings - International Symposium on Biomedical Imaging).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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基于OSCAR的图文检索模型的训练方法和实现图文检索的方法
Wu, F. (Inventor), Qiu, W. (Inventor), Liu, J. (Inventor) & Lim, E. G. (Inventor), 27 Jun 2025, IPC No. ZL 2023 1 1395517.0, Patent No. CN 117390213 B, Priority date 27 Jun 2025Research output: Patent
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基于 OSCAR 的图文检索模型的训练方法和实现图文检索的方法
Translated title of the contribution :Training Method and Implementation Method of Image and Text Retrieval Model Based on OSCAR Research output: Patent
Activities
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Medical Image Computing Seminar (External organisation)
Jingxin Liu (Member)
1 May 2025 → …Activity: Membership › Membership of committee
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Suzhou Youth Science and Technology Talent Association (External organisation)
Jingxin Liu (Member)
Jan 2025 → …Activity: Membership › Membership of committee
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Cross-Organ and Cross-Scanner Adenocarcinoma Segmentation (COSAS 2024) challenge
Jingxin Liu (Chair)
8 May 2024 → 5 Oct 2024Activity: Participating in or organising an event › Organising an event e.g. a conference, workshop, …
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Quantitative Assessment of Digital Histopathology Images: Experiences of Industry and Academia
Jingxin Liu (Speaker)
20 Sept 2023Activity: Talk or presentation › Keynote Speech
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IEEE Transactions on Medical Imaging (Journal)
Jingxin Liu (Reviewer)
2020 → 2022Activity: Peer-review and editorial work of publications › Publication Peer-review