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Ph.D., Tenure-track Associate Professor, |
[2025/09] "HRProtoKD: A hierarchical and relational prototype based knowledge distillation framework for few-shot cancer molecular subtyping" has been accepted by IEEE Journal of Biomedical and Health Informatics (JBHI).
[2025/08] "ERSR: An Ellipse-constrained pseudo-label refinement and symmetric regularization framework for semi-supervised fetal head segmentation in ultrasound images" has been accepted by IEEE Journal of Biomedical and Health Informatics (JBHI).
[2025/08] a paper has been accepted by The 33rd Pacific Conference on Computer Graphics and Applications (Pacific Graphics 2025).
[2025/07] "PKDF-Net: Anticancer peptide prediction via a prior-knowledge-aware dual-path feature-entangled network" has been accepted by Engineering Applications of Artificial Intelligence (EAAI).
[2025/06] "Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation" has been accepted by Knowledge-Based Systems (KBS).
[2024/12] Two papers have been accepted by Frontiers of Computer Science (FCS).
[2024/08] Two papers have been accepted by IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[2024/06] "Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones" has been accepted by International Conference On Medical Image Computing & Computer Assisted Intervention (MICCAI).
[2024/05] "A Multi-Information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis" has been accepted by Medical Image Computing and Computer Assisted Intervention (MICCAI).
Qiangguo Jin is currently an associate professor@Northwestern Polytechnical University (NWPU), China. He received BA, ME, and Ph.D degrees from Tianjin University. His research lies in medical image analysis and bioinformatics. Qiangguo Jin has published papers in highly regarded journals and conferences.
Medical Image Analysis: Mainly focusing on improving lesion detection and anatomical structure analysis.
Bioinformatics: Mainly focusing on drug development, complex disease diagnosis and treatment.
Call for graduate and undergraduate students! Hope you are hardworking, determined, and have basic programming skills and mathematics knowledge. You can receive detailed supervision on research and would have a promising career. Feel free to contact me via email.
[2019/09 - 2021/04] Visiting scholar at Data61, CSIRO, Australia. (supervised by Prof. Changming Sun)
[2017/09 - 2021/07] Ph.D. in College of Intelligence and Computing, Tianjin University. (co- supervised by Prof. Zhaopeng Meng and Prof. Ran Su)
[2014/09 - 2017/01] M.S. in School of Computer Software, Tianjin University. (supervised by Prof. Zhaopeng Meng)
[2010/09 - 2014/07] B.S. in School of Computer Software, Tianjin University. (supervised by Prof. Zhaopeng Meng)
Some selected papers are listed, visit Google Scholar for more publications.
Journal:
[ESWA]
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation
Expert Systems with Applications (2023).
Qiangguo Jin, Hui Cui, Changming Sun, Yang Song, et al.
[PDF] [Code]
[ESWA]
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images
Expert Systems with Applications (2021).
Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Leyi Wei, and Ran Su.
[PDF] [Code]
[KNOSYS]
Free-form tumor synthesis in computed tomography images via richer generative adversarial network
Knowledge-Based Systems (2021).
Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, and Ran Su.
[PDF] [Code]
[ASOC]
Cascade knowledge diffusion network for skin lesion diagnosis and segmentation
Applied Soft Computing (2021).
Qiangguo Jin, Hui Cui, Zhaopeng Meng, Changming Sun, and Ran Su.
[PDF] [Code]
[FBIOE]
RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans
Frontiers in Bioengineering and Biotechnology (2020).
Qiangguo Jin, Zhaopeng Meng, Changming Sun, Hui Cui, and Ran Su.
[PDF] [Code]
[KNOSYS]
DUNet: A deformable network for retinal vessel segmentation.
Knowledge-Based Systems (2019)
Qiangguo Jin, Zhaopeng Meng, Tuan D Pham, Qi Chen, Leyi Wei, and Ran Su.
[PDF] [Code]
Conference:
[BIBM]
Shape-aware contrastive deep supervision for esophageal tumor segmentation from CT scans
IEEE International Conference on Bioinformatics and Biomedicines (2023).
Qiangguo Jin, Hui Cui, Changming Sun, et al.
[PDF]
[MICCAI]
Multi-modality contrastive learning for sarcopenia screening from hip X-rays and clinical information
International Conference on Medical Image Computing and Computer-Assisted Intervention (2023).
Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Leyi Wei, et al.
[PDF] [Code]
[MICCAI]
Semi-supervised histological image segmentation via hierarchical consistency enforcement
International Conference on Medical Image Computing and Computer-Assisted Intervention (2022).
Qiangguo Jin, Hui Cui, Changming Sun, et al.
[PDF]
I serve as a reviewer of:
Association for the Advancement of Artificial Intelligence (AAAI 202320242025)
ACM International Conference on Multimedia (ACM MM20212022202320242025)
International Joint Conference on Artificial Intelligence (IJCAI 2024)
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 202220232024/2025)
IEEE Transactions on Medical Imaging (TMI)
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
IEEE Conference on Multimedia Expo (ICME 2024)
IEEE Transactions on Industrial Informatics (TII)
IEEE Transactions on Multimedia (TMM)
IEEE Transactions on Artificial Intelligence (TAI)
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2023)
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
Pattern Recognition (PR)
Medical Image Analysis (MIA)
Knowledge-Based Systems (KBS)
Expert Systems With Applications (ESWA)
Applied Soft Computing (ASOC)
IEEE Journal of Biomedical and Health Informatics (JBHI)
Computers in Biology and Medicine (CIBM)
Engineering Applications of Artificial Intelligence (EAAI)
Briefings in Bioinformatics (BIB)
Biocybernetics and Biomedical Engineering (BBE)
Neural Networks (NEUNET)
International Journal of Machine Learning and Cybernetics (JMLC)
Machine Vision and Applications (MVAP)
Informatics in Medicine Unlocked (IMU)
Interdisciplinary Sciences: Computational Life Sciences (INSC)
etc
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