📝 Publications
🎙 2026
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 LiuISCLS 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 SuASOC 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 ZhangBIB 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 ChenCVPR 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 XuCVPR 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 JinNAR 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 SuBIBM 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 ZhaoPG 2025 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 WangACM 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 SuJCIM 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 LuICME 2024 Retinal vessel segmentation via cross-attention feature fusion, Tian Feng, Jiaheng Wang, Junao Shen, Qiangguo Jin, Zhiyuan Zhu, Xinyu WangESWA 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 SuMICCAI 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
🎙 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 SuKBS Free-form tumor synthesis in computed tomography images via richer generative adversarial network, Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Ran SuASOC 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)
