I am Qiangguo Jin, a Tenured Associate Professor at the School of Software, Northwestern Polytechnical University (NPU), Shaanxi, 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 60+ papers , including several in top-tier journals and conferences. I also serve as a reviewer for several top-tier academic conferences, including ICML, CVPR, AAAI, ACMMM, IJCAI, MICCAI, ICDM, ICME, and BIBM, as well as for leading journals such as IEEE TIP, TMI, MIA, TNNLS, TCSVT, JBHI, TAI, TII, TMM, PR, and BIB.

Call for research assistants/postdocs (Master/PhD students starting in Fall 2027)! 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

• 2026.10: 🎉🎉🎉🎉 Recognized among the World’s Top 2% Scientists based on the Stanford University&Elsevier ranking of global highly cited researchers.
• 2026.09: 🎉🎉 A papers have accepted by PR (SCI-1). Congratulations to our collaborators!
• 2026.09: 🎉🎉 Two papers have accepted by IEEE BIBM (CCF-B), See you all in Dallas, USA.
• 2026.08: 🎉🎉 A paper has been accepted by IEEE ICDM (CCF-B), Congratulations! See you all in Shenyang, China.
• 2026.08: 🎉🎉 A paper has been accepted by IEEE JBHI (SCI-1)
• 2026.07: I was invited to serve as an Senior Program Committee for AAAI 2027 conference.
• 2026.06: 🎉🎉 Two papers have been accepted by MICCAI 2026 (CCF-B)，Congratulations! See you all in Strasbourg, France.
• 2026.05: 🎉🎉 A paper has been accepted by ESWA (SCI-1)，Congratulations!
• 2026.05: 🎉🎉 A paper has been accepted by Interdiscip Sci Comput Life Sci (SCI-2)，Congratulations to our collaborators!
• 2026.04: 🎉🎉 Two papers have been accepted by ASOC (SCI-2).
• 2026.03: 🎉🎉 A paper has been accepted by ESWA (SCI-1), Congratulations to our collaborators!
• 2026.03: 🎉🎉 A paper has been accepted by TII (SCI-1)
• 2026.03: 🎉🎉 A paper has been accepted by BIB (SCI-1)
• 2026.02: 🎉🎉 Three papers have been accepted by CVPR 2026 (CCF A). One is recommended as Oral. See you all in Denver Colorado.
• 2026.01: I was invited to serve as an Area Chair for MICCAI 2026 conference.
• 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)

📅 Call for papers

We cordially invite researchers to submit their original contributions to our Special Issues:

• CIMB Functional Genomics and Comparative Genomics Analysis in Plants, 4th Edition, Quan Zou, Ran Su, Qiangguo Jin. (SCI-3, Deadline 31 October 2026)
• FAI Semi-Supervised Learning with Foundation Models for Biomedical Data Analysis: Multimodality, Generative AI, and Clinical Adaptation, Qiangguo Jin, Leyi Wei, Ran Su. (SCI-4, Deadline 31 January 2027)

📝 Publications

🎙 2026

• MICCAI Generative Anchor-Guided Federated Domain Generalization for Heterogeneous Pan Cancer Image Analysis, Qiangguo Jin, Yufei Shen, Linkuan Zhou, Fei Guo, Junlin Xu, Ping Xuan, Ran Su, Leyi Wei, and Cong Cong✉
• MICCAI LiSAD: A Label-Efficient Implicit Model with Spatially Adaptive Directional Total Variation for Spatial Transcriptomics, Yinghao Xia, Xiaoxuan Ji, Haoyang Liu, Fei Guo✉, Xikang Feng, Liang He, Hui Cui, Shuang Xu, Ran Su, Leyi Wei, and Qiangguo Jin✉
• BIBM MSD-Net: Multimodal Siamese Differential Network for Sarcopenia Screening from Hip X-rays and Clinical Data, Xue Li, Qiangguo Jin✉, Yuqian Chen, Ping Xuan, Yajie Meng, Junlin Xu, and Fei Guo✉
• BIBM CeMixSP: A centroid-based domain mixup and structure preserving unsupervised domain adaptation model for medical image segmentation, Qiangguo Jin, Linkuan Zhou, Hui Cui, Changming Sun, Cong Cong, Yuqian Chen, Zilong Zhang, Feifei Cui, Fei Guo, Ping Xuan, and Yuqi Fang✉
• ICDM HiMamba: A Hierarchical State Space Framework for Asymmetric Multimodal Data Mining in Clinical Assessment, Biandi Cheng, Peng Wang, Hui Cui, Ping Xuan, Cong Cong, Ran Su, Leyi Wei, Qiangguo Jin✉, Fei Guo✉, and Yupin Chen✉
• JBHI Speaking the Native Language of LLMs: A Discrete Architecture for Molecular Comprehension, Haoyang Liu, Xikang Feng, Fei Guo✉, Yuqian Chen, Zilong Zhang, Junlin Xu, Wenjie Du✉, Qiangguo Jin✉
• ESWA Slide-Aware Deep Feature Prompting for Enhanced Whole Slide Image Classification, Cong Cong, Yang Song, Antonio Di Ieva, Qiangguo Jin, Lei Fan, Angela Chou, Anthony J Gill, Sidong Liu
• ISCLS Pan-cancer Distant Metastasis Prediction Based on Graph Neural Network, Fengyun Zhang, Qiangguo Jin, Changming Sun, Ruibing Chen, Jie Geng, Siqi Chen, Wenrun Cai, Xugang Sun, Xiaofeng Liu, Ran Su
• ASOC ADSA-Net+: Atopic Dermatitis Severity Assessment from Smartphone Images based on Spatial Contextual Attention and Hard Sample Oriented Contrastive Learning, Xurong Chen, Hong Yu, Hui Cui, Changming Sun, Leyi Wei, Ran Su, Xiaoqing Zhao, Xikang Feng, Qiangguo Jin✉
• ASOC A Survey on Unsupervised Domain Adaptation in Medical Imaging: Methods, Dataset, and Future Outlook, Hancun Yang, Henjun Guo, Guanlin Liu, Linkuan Zhou, Junlin Xu, Leyi Wei, Ran Su, Qiangguo Jin✉
• TII KG-CMI: Knowledge graph enhanced cross-Mamba interaction for medical visual question answering, Xianyao Zheng, Hong Yu, Hui Cui, Changming Sun, Xiangyu Li, Ran Su, Leyi Wei, Jia Zhou, Junbo Wang, Qiangguo Jin✉
• ESWA Topology-enhanced hypergraph learning and adaptive multi-graph transformer for prediction of drug-related side effects, Ping Xuan, Xidong Yang, Sentao Chen, Hui Cui, Zelong Xu, Qiangguo Jin, Tiangang Zhang
• BIB CRESCENT: A Deep LearningFramework with Multi-Scale Attention for Detecting Recurrent Copy Number Aberrations, Xikang Feng, Zheng Xu, Sisi Peng, Jieyi Zheng, Chuan Ma, Qiangguo Jin✉, Lingxi Chen
• CVPR TAMER: A Tri-Modal Contrastive Alignment and Multi-Scale Embedding Refinement Framework for Zero-Shot ECG Diagnosis, Xuewei Zhou, Yajie Meng, Pan Zeng, Xianfang Tang, Feifei Cui, Qiangguo Jin✉, Jialiang Yang, Junlin Xu
• CVPR SHAPE: Structure-aware Hierarchical Unsupervised Domain Adaptation with Plausibility Evaluation for Medical Image Segmentation, Linkuan Zhou, Yinghao Xia, Yufei Shen, Xiangyu Li, Wenjie Du, Cong Cong, Leyi Wei, Ran Su, Qiangguo Jin✉
• CVPR MDCS-MoAME: Multi-directional Composite Scanning with Mixture of Attention and Mamba Experts for Cancer Survival Prediction, Linjie Qu, Jin Xiao, Xiangrong Liu, Changming Sun, Hui Cui, Yuqi Fang, Ran Su, Qiangguo Jin✉, Leyi Wei (ORAL 3.4%)
• AAAI EccoMamba: Enhanced Cross-hierarchical Continuity Orthogonal Mamba for Medical Image Segmentation, Junlin Xu, Jincan Li, Feifei Cui, Zhuang Zhang, Jialiang Yang, Shuting Jin, Qiangguo Jin✉, Yajie Meng (ORAL 5%)
• FCS AirWSeg: a comprehensive dataset collection for pulmonary airway segmentation in medical imaging, 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
• 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)

🎙 2025

• 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 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
• PG CMI-MTL: Cross-Mamba interaction based multi-task learning for medical visual question answering, Qiangguo Jin, Xianyao Zheng, Hui Cui, Changming Sun, Yuqi Fang, Cong Cong, Ran Su, Leyi Wei, Ping Xuan, Junbo Wang
• ACM MM 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 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 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 A multi-information dual-layer cross-attention model for esophageal fistula prognosis, Jianqiao Zhang, Hao Xiong, Qiangguo Jin, et al.
• MICCAI 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 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 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 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 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

🎙 2026

• First Prize, Scientific and Technological Progress Award, Chinese Institute of Command and Control (CICC)
• Science Star, Northwestern Polytechnical University (10 awardees/year)

🎙 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

• 2026.10, Intelligent Analysis Methods for Data-Limited Multimodal Biomedical Scenarios, China National Computer Congress, Chengdu, China.
• 2026.07, Intelligent and Precise Analysis Methods for Data-Scarce Biomedical Scenarios, Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China.
• 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)