Prediction of Protein-Protein Interaction Sites Using Granularity Computing of Quotient Space Theory. - Xiuquan Du; Jiaxing Cheng (CSSE (1), 2008)

Protein Interface Residues Recognition Using Granular Computing Theory. - Jiaxing Cheng; Xiuquan Du; Jiehua Cheng (RSKT, 2010)

Predicting Protein-Protein Interaction Sites by Rotation Forests with Evolutionary Information. - Xinying Hu; Anqi Jing; Xiuquan Du (ICIC (3), 2014)

Using the Multi-instance Learning Method to Predict Protein-Protein Interactions with Domain Information. - Yanping Zhang 001; Yongliang Zha; Xinrui Li; Shu Zhao; Xiuquan Du (RSKT, 2014)

Multiple-Side Multiple-Learner for Incomplete Data Classification. - Yuan-Ting Yan; Yan-Ping Zhang 001; Xiu-Quan Du (RSFDGrC, 2015)

Direct Detection of Pixel-Level Myocardial Infarction Areas via a Deep-Learning Algorithm. - Chenchu Xu; Lei Xu 037; Zhifan Gao; Shen Zhao; Heye Zhang; Yanping Zhang 001; Xiuquan Du; Shu Zhao; Dhanjoo N. Ghista; Shuo Li 001 (MICCAI (3), 2017)

A selective neural network ensemble classification for incomplete data. - Yuan-Ting Yan; Yan-Ping Zhang 001; Yiwen Zhang 001; Xiu-Quan Du (Int. J. Mach. Learn. Cybern., 2017)

DeepPPI: Boosting Prediction of Protein-Protein Interactions with Deep Neural Networks. - Xiuquan Du; Shiwei Sun; Changlin Hu; Yu Yao 008; Yuan-Ting Yan; Yanping Zhang 001 (J. Chem. Inf. Model., 2017)

DeepMVF-RBP: Deep Multi-view Fusion Representation Learning for RNA-binding Proteins Prediction. - Xiuquan Du; Yanyu Diao; Yu Yao 008; Huaixu Zhu; Yuan-Ting Yan; Yanping Zhang 001 (BIBM, 2018)

Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation. - Jun Chen; Guang Yang 006; Zhifan Gao; Hao Ni 001; Elsa D. Angelini; Raad Mohiaddin; Tom Wong; Yanping Zhang 001; Xiuquan Du; Heye Zhang; Jennifer Keegan; David N. Firmin (MICCAI (2), 2018)

DeepSS: Exploring Splice Site Motif Through Convolutional Neural Network Directly From DNA Sequence. - Xiuquan Du; Yu Yao 008; Yanyu Diao; Huaixu Zhu; Yanping Zhang 001; Shuo Li 001 (IEEE Access, 2018)

Deep Regression Segmentation for Cardiac Bi-Ventricle MR Images. - Xiuquan Du; Weiwei Zhang 006; Heye Zhang; Jun Chen; Yanping Zhang 001; James Warrington; Gary Brahm; Shuo Li 001 (IEEE Access, 2018)

Direct delineation of myocardial infarction without contrast agents using a joint motion feature learning architecture. - Chenchu Xu; Lei Xu 037; Zhifan Gao; Shen Zhao; Heye Zhang; Yanping Zhang 001; Xiuquan Du; Shu Zhao; Dhanjoo N. Ghista; Huafeng Liu 003; Shuo Li 001 (Medical Image Anal., 2018)

A Parameter-Free Cleaning Method for SMOTE in Imbalanced Classification. - Yuan-Ting Yan; Ruiqing Liu; Zihan Ding; Xiuquan Du; Jie Chen 025; Yanping Zhang 001 (IEEE Access, 2019)

A novel machine-learning algorithm to estimate the position and size of myocardial infarction for MRI sequence. - Chenchu Xu; Lin Xu 008; Heye Zhang; Yanping Zhang 001; Xiuquan Du; Shuo Li 001 (Computing, 2019)

An end-to-end joint learning framework of artery-specific coronary calcium scoring in non-contrast cardiac CT. - Weiwei Zhang 006; Jinglin Zhang; Xiuquan Du; Yanping Zhang 001; Shuo Li 001 (Computing, 2019)

A three-way decision ensemble method for imbalanced data oversampling. - Yuan-Ting Yan; Zeng Bao Wu; Xiuquan Du; Jie Chen 025; Shu Zhao; Yanping Zhang 001 (Int. J. Approx. Reason., 2019)

Direct Segmentation-Based Full Quantification for Left Ventricle via Deep Multi-Task Regression Learning Network. - Xiuquan Du; Renjun Tang; Susu Yin; Yanping Zhang 001; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2019)

DUDA: Deep Unsupervised Domain Adaptation Learning for Multi-sequence Cardiac MR Image Segmentation. - Yueguo Liu; Xiuquan Du (PRCV (1), 2020)

Generative image inpainting for link prediction. - Fulan Qian; Jianhong Li; Xiuquan Du; Xi Chen; Shu Zhao; Yanping Zhang 001 (Appl. Intell., 2020)

Segmentation and visualization of left atrium through a unified deep learning framework. - Xiuquan Du; Susu Yin; Renjun Tang; Yueguo Liu; Yuhui Song; Yanping Zhang 001; Heng Liu 003; Shuo Li 001 (Int. J. Comput. Assist. Radiol. Surg., 2020)

DeepCQ: Deep multi-task conditional quantification network for estimation of left ventricle parameters. - Ruifeng Chen; Chenchu Xu; Zhangfu Dong; Yueguo Liu; Xiuquan Du (Comput. Methods Programs Biomed., 2020)

Simultaneous left atrium anatomy and scar segmentations via deep learning in multiview information with attention. - Guang Yang 006; Jun Chen; Zhifan Gao; Shuo Li 001; Hao Ni 001; Elsa D. Angelini; Tom Wong; Raad Mohiaddin; Eva Nyktari; Ricardo Wage; Lei Xu 037; Yanping Zhang 001; et al. (Future Gener. Comput. Syst., 2020)

Automatic segmentation of left ventricle using parallel end-end deep convolutional neural networks framework. - Zhangfu Dong; Xiuquan Du; Yueguo Liu (Knowl. Based Syst., 2020)

An integrated deep learning framework for joint segmentation of blood pool and myocardium. - Xiuquan Du; Yuhui Song; Yueguo Liu; Yanping Zhang 001; Heng Liu 003; Bo Chen 013; Shuo Li 001 (Medical Image Anal., 2020)

Incomplete data ensemble classification using imputation-revision framework with local spatial neighborhood information. - Yuan-Ting Yan; Yaya Wu; Xiuquan Du; Yanping Zhang 001 (Appl. Soft Comput., 2021)

TSU-net: Two-stage multi-scale cascade and multi-field fusion U-net for right ventricular segmentation. - Xiuquan Du; Xiaofei Xu; Heng Liu 003; Shuo Li 001 (Comput. Medical Imaging Graph., 2021)

Predicting transcription factor binding sites by dual-stream multiple instance learning network. - Ruqun Song; Xiuquan Du (BIBM, 2022)

ICGNet: Integration Context-based Reverse-Contour Guidance Network for Polyp Segmentation. - Xiuquan Du; Xuebin Xu; Kunpeng Ma (IJCAI, 2022)

DFpin: Deep learning-based protein-binding site prediction with feature-based non-redundancy from RNA level. - Xiujuan Zhao; Yanping Zhang 001; Xiuquan Du (Comput. Biol. Medicine, 2022)

AGMR-Net: Attention-guided multiscale recovery framework for stroke segmentation. - Xiuquan Du; Kunpeng Ma; Yuhui Song (Comput. Medical Imaging Graph., 2022)

Two-stage segmentation network with feature aggregation and multi-level attention mechanism for multi-modality heart images. - Yuhui Song; Xiuquan Du; Yanping Zhang 001; Shuo Li 001 (Comput. Medical Imaging Graph., 2022)

TC-Net: Triple Context Network for Automated Stroke Lesion Segmentation. - Xiuquan Du; Kunpeng Ma (CoRR, 2022)

DeepBtoD: Improved RNA-binding proteins prediction via integrated deep learning. - Xiuquan Du; Xiujuan Zhao; Yanping Zhang 001 (J. Bioinform. Comput. Biol., 2022)

JLCRB: A unified multi-view-based joint representation learning for CircRNA binding sites prediction. - Xiuquan Du; Zhigang Xue (J. Biomed. Informatics, 2022)

Constraint-Based Unsupervised Domain Adaptation Network for Multi-Modality Cardiac Image Segmentation. - Xiuquan Du; Yueguo Liu (IEEE J. Biomed. Health Informatics, 2022)

Multi-shot Prototype Contrastive Learning and Semantic Reasoning for Medical Image Segmentation. - Yuhui Song; Xiuquan Du; Yanping Zhang 001; Chenchu Xu (MICCAI (4), 2023)

Deep Multi-Label Joint Learning for RNA and DNA-Binding Proteins Prediction. - Xiuquan Du; Jiajia Hu (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Multimodal adversarial representation learning for breast cancer prognosis prediction. - Xiuquan Du; Yuefan Zhao (Comput. Biol. Medicine, 2023)

TSRL-Net: Target-aware supervision residual learning for stroke segmentation. - Lei Li 048; Kunpeng Ma; Yuhui Song; Xiuquan Du (Comput. Biol. Medicine, 2023)

ASCRB: Multi-view based attentional feature selection for CircRNA-binding site prediction. - Lei Li 048; Zhigang Xue; Xiuquan Du (Comput. Biol. Medicine, 2023)

KSAG-Net::Kernel-Size Attention Guidance Dual-Branch Network for Coronary Artery Segmentation. - Xiuquan Du; Weijian Gao (IJCNN, 2024)

CBNet: Cooperation-Based Weakly Supervised Polyp Detection. - Xiuquan Du; Jiajia Chen; Xuejun Zhang (ACM Multimedia, 2024)

MDNet: Morphology-Driven Weakly Supervised Polyp Detection. - Jiajia Chen; Xuejun Zhang; Jie Gui; Xiuquan Du; Wen Sha (PRCV (15), 2024)

MFIS-Net: A Deep Learning Framework for Left Atrial Segmentation. - Jie Gui; Wen Sha; Xiuquan Du (PRCV (15), 2024)

GCNet: Global Context-Guided Uncertainty Boundary for Polyp Segmentation. - Xuejun Zhang; Jiajia Chen; Jie Gui; Xiuquan Du; Wen Sha (PRCV (15), 2024)

Interactive prototype learning and self-learning for few-shot medical image segmentation. - Yuhui Song; Chenchu Xu; Boyan Wang; Xiuquan Du; Jie Chen 025; Yanping Zhang 001; Shuo Li 001 (Artif. Intell. Medicine, 2025)

MultiJSQ: Direct joint segmentation and quantification of left ventricle with deep multitask-derived regression network. - Xiuquan Du; Zheng Pei; Ying Liu; Xinzhi Cao; Lei Li 048; Shuo Li 001 (CAAI Trans. Intell. Technol., 2025)

Boosting polyp screening with improved point-teacher weakly semi-supervised. - Xiuquan Du; Xuejun Zhang; Jiajia Chen; Lei Li 048 (Comput. Biol. Medicine, 2025)

UM-Net: Rethinking ICGNet for polyp segmentation with uncertainty modeling. - Xiuquan Du; Xuebin Xu; Jiajia Chen; Xuejun Zhang; Lei Li 048; Heng Liu 003; Shuo Li 001 (Medical Image Anal., 2025)