I am Qiangguo Jin, a Tenured Associate Professor at the School of Software, Northwestern Polytechnical University (NPU), China. I received my B.E. (2010–2014), M.E. (2014–2017), and Ph.D. (2017–2021) in Software Engineering from School of Computer Software, Tianjin University (TJU), under the supervision of Prof. Zhaopeng Meng (B.E. & M.E.), and Profs. Ran Su (苏苒), Leyi Wei (魏乐义), and Zhaopeng Meng (Ph.D.). From 2019 to 2021, I was a Visiting Scholar at Data61, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia, where I closely collaborated with Changming Sun and Hui Cui (崔慧).

My research interests lie at the intersection of medical image analysis, bioinformatics, computer vision, and artificial intelligence, with a particular emphasis on disease detection, structural analysis, drug development, and the diagnosis and treatment of complex diseases. My current research emphasizes semi-supervised and weakly supervised learning, multimodal representation learning, and intelligent healthcare applications, aiming to bridge advanced AI techniques with real-world clinical and biomedical problems.

I have published over 50+ papers , including several in top-tier journals and conferences. I also serve as a reviewer for several top-tier academic conferences, including ICML, AAAI, ACMMM, IJCAI, MICCAI, ICME, BIBM, and ICASSP, as well as for leading journals such as IEEE TMI, MIA, TNNLS, TCSVT, JBHI, TAI, TII, TMM, PR, KBS, ESWA, EAAI, and BIB.

Call for research assistants/postdocs (Master/PhD students starting in Fall 2026)! 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.

🔥 News

• 2025.11: 🎉🎉 A paper has been accepted by AAAI 2026 (CCF A, Oral). See you all in Singapore.
• 2025.10: 🎉🎉 Our papaer has been accepted by NAR (IF=13.1)
• 2025.10: 🎉🎉 Three papers have been accepted by BIBM 2026
• 2025.09: 🎉🎉 A paper has been accepted by JBHI (SCI-1)
• 2025.08: 🎉🎉 A paper has been accepted by JBHI (SCI-1)
• 2025.08: 🎉🎉 A paper has been accepted by PG 2025
• 2025.07: 🎉🎉 A paper has been accepted by ACMM MM 2025 (CCF A), Congratulations to our collaborators!
• 2025.07: 🎉🎉 A paper has been accepted by EAAI (SCI-1)
• 2025.06: 🎉🎉 A paper has been accepted by KBS (SCI-1)

📝 Publications

🎙 2026

• FCS PKDF-Net: Anticancer peptide prediction via a prior-knowledge-aware dual-path feature-entangled network, Kexin Zhou, Linkuan Zhou, Fei Guo, Aihong Lu, Wu Fang, Qiangguo Jin✉
• EAAI Three-dimensional geometric deep learning for reaction prediction with equivariant graph transformer, Zhouxiang Wang, Haicheng Yi, Zhuhong You, Qiangguo Jin

🎙 2025

• NAR CNAScope: pan-cancer copy number aberration database with functional annotation and interactive visualization, Xikang Feng, Jieyi Zheng, Sisi Peng, Anna Jiang, Ka Ho Ng, Chengshang Lyu, Qiangguo Jin✉, Lingxi Chen. (IF=13.1)
• EAAI PKDF-Net: Anticancer peptide prediction via a prior-knowledge-aware dual-path feature-entangled network, Qiangguo Jin, Ankang Wu, Leyi Wei, Hui Cui, Ping Xuan, Xikang Feng, Ran Su
• BIBM 2025 ADSA-Net: Addressing intra- and inter-class variabilities for severity assessment of atopic dermatitis, Qiangguo Jin, Xurong Chen, Hui Cui, Changming Sun, Youpeng Deng, Cong Cong, Yuqi Fang, Ran Su, Leyi Wei, Xiaoqing Zhao
• ACM MM 2025 DSACap: Enhancing Visual-Semantic Alignment with Diffusion-based Framework for Image Captioning, Liangyu Fu, Junbo Wang, Yuke Li, Qiangguo Jin, et al.
• JBHI HRProtoKD: A hierarchical and relational prototype based knowledge distillation framework for few-shot cancer molecular subtyping, Fei Guo, Rui Shi, Jia Zhou, Junlin Xu, Hui Cui, Ping Xuan, Xikang Feng, Leyi Wei, Ran Su, Qiangguo Jin✉
• JBHI ERSR: An Ellipse-constrained pseudo-label refinement and symmetric regularization framework for semi-supervised fetal head segmentation in ultrasound images, Linkuan Zhou, Zhexin Chen, Yufei Shen, Junlin Xu, Ping Xuan, Yixin Zhu, Yuqi Fang, Cong Cong, Leyi Wei, Ran Su, Jia Zhou, Qiangguo Jin✉
• KBS Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation, Qiangguo Jin, Hui Cui, Junbo Wang, Changming Sun, Yimiao He, Ping Xuan, Linlin Wang, Cong Cong, Leyi Wei, Ran Su
• JCIM Multi-Knowledge Graph and Multi-View Entity Feature Learning for Predicting Drug-Related Side Effects, Ping Xuan, Tianhong Cheng, Hui Cui, Jing Gu, Qiangguo Jin, Tiangang Zhang

🎙 2024

• BIBM 2024 TSEML: A task-specific embedding-based method for few-shot classification of cancer molecular subtypes, Ran Su, Rui Shi, Hui Cui, Ping Xuan, Chengyan Fang, Xikang Feng, Qiangguo Jin✉
• BIBM 2024 MSKI-Net: Towards modality-specific knowledge interaction for glioma survival prediction, Ran Su, Jin Xiao, Hui Cui, Ping Xuan, Xikang Feng, Leyi Wei, Qiangguo Jin✉
• ASOC Evolving graph convolutional network with transformer for CT segmentation, Hui Cui, Qiangguo Jin, et al.
• MICCAI 2024 A multi-information dual-layer cross-attention model for esophageal fistula prognosis, Jianqiao Zhang, Hao Xiong, Qiangguo Jin, et al.
• MICCAI 2024 Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones, Qiangguo Jin, Jiapeng Huang, Changming Sun, Hui Cui, Ping Xuan, Ran Su, Leyi Wei, Yu-Jie Wu, Chia-An Wu, Henry BL Duh, Yueh-Hsun Lu
• ICME 2024 Retinal vessel segmentation via cross-attention feature fusion, Tian Feng, Jiaheng Wang, Junao Shen, Qiangguo Jin✉, Zhiyuan Zhu, Xinyu Wang
• ESWA Inter-and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation, Qiangguo Jin, Hui Cui, Changming Sun, Yang Song, Jiangbin Zheng, Leilei Cao, Leyi Wei, Ran Su

🎙 2023

• BIBM 2023 Shape-aware contrastive deep supervision for esophageal tumor segmentation from CT scans, Qiangguo Jin, Hui Cui, Changming Sun, Jiapeng Huang, Ping Xuan, Yiyue Xu, Linlin Wang, Leilei Cao, Leyi Wei, Ran Su
• MICCAI 2023 Multi-modality contrastive learning for sarcopenia screening from hip x-rays and clinical information, Qiangguo Jin, Changjiang Zou, Hui Cui, Changming Sun, Shu-Wei Huang, Yi-Jie Kuo, Ping Xuan, Leilei Cao, Ran Su, Leyi Wei, Henry BL Duh, Yu-Pin Chen

🎙 2022

• MICCAI 2022 Semi-supervised histological image segmentation via hierarchical consistency enforcement, Qiangguo Jin, Hui Cui, Changming Sun, Jiangbin Zheng, Leyi Wei, Zhenyu Fang, Zhaopeng Meng, Ran Su

🎙 2021

• ESWA Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images, Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Leyi Wei, Ran Su
• KBS Free-form tumor synthesis in computed tomography images via richer generative adversarial network, Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Ran Su
• ASOC Cascade knowledge diffusion network for skin lesion diagnosis and segmentation, Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Ran Su

🎙 2020

• FBIOE RA-UNet: A Hybrid Deep Attention-Aware Network to Extract Liver and Tumor in CT Scans, Qiangguo Jin, Zhaopeng Meng, Changming Sun, Hui Cui, Ran Su (ESI highly cited paper)
• KBS DUNet: A deformable network for retinal vessel segmentation, Qiangguo Jin, Zhaopeng Meng, Tuan D Pham, Qi Chen, Leyi Wei, Ran Su (ESI highly cited paper)

🎖 Honors and Awards

🎙 2025

• First Prize, Excellent Scientific Research Achievement Award, Shaanxi Higher Education Institutions
• First Prize and Second Prize, Teaching Achievement Awards (Undergraduate Level), Northwestern Polytechnical University
• Second Prize, Teaching Research Achievement Award, Northwestern Polytechnical University
• Advanced Worker Award, Northwestern Polytechnical University
• Outstanding Enrollment Contribution Award, Northwestern Polytechnical University
• Outstanding Teacher Award, School of Software, Northwestern Polytechnical University

🎙 2024

• First Prize, Natural Science Award, Suzhou City, China
• Third Prize, Science and Technology Innovation Achievement Transformation Award, Jiangsu Science and Technology Innovation Association
• Outstanding Teacher Award, Northwestern Polytechnical University
• Outstanding Enrollment Contribution Award, Northwestern Polytechnical University
• Outstanding Undergraduate Academic Advisor Award, Northwestern Polytechnical University

🎙 2023

• Second Prize, Natural Science Award, Chinese Association of Automation (CAA)
• Grand Prize, Teaching Achievement Award (Graduate Level), Northwestern Polytechnical University
• Outstanding Teacher Award, School of Software, Northwestern Polytechnical University
• Third Prize, Natural Science Academic Paper Award, Taicang City, China

📖 Educations

• 2017.09 - 2021.06, Ph.D. in School of Computer Software, College of Intelligence and Computing, Tianjin University, Tianjin, China.
• 2014.09 - 2017.01, M.S. in School of Computer Software, Tianjin University, Tianjin, China.
• 2010.09 - 2014.06, B.S. in School of Computer Software, Tianjin University, Tianjin, China.

💬 Invited Talks

• 2025.12, Intelligent Analysis Methods for Few-Shot Biomedical Imaging, ChangZhou Institute Of Technology, Changzhou, China.
• 2025.10, Intelligent Analysis Methods for Few-Shot Biomedical Imaging, The 22nd Congress of Cardiac Imaging and Cardiac Intervention, Chinese Association of Health Promotion and Education, Beijing, China.
• 2024.06, Inter-and intra-uncertainty based feature aggregation model for semi-supervised image segmentation, BIIP, Chinese Association for Artificial Intelligence, Guilin, China.
• 2024.04, Inter-and intra-uncertainty based feature aggregation model for semi-supervised image segmentation, BIO-3NEW, CCF, Xi’an, China.
• 2023.04, Few-Shot Biomedical Image Processing, School of Software, Zhejiang University, Ningbo, China.

📚 Teaching

• Comprehensive Project Practice in Internet System, Undergraduate Course / Graduate Course (Fall Semester)
• Software Engineering, Undergraduate Course (Fall Semester)
• Software Engineering Technical Laboratory (C/C++ Programming), Graduate Course (Fall Semester)

📺 Social media

Welcome to follow our Wechat official account: iBioMedInfo, we will share recent studies on biomedical image and bioinformation analysis there.