Publications by authors named "Shoubin Dong"

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DGX: Uncovering General Behavior of Deep Graph Models With Model-Level Explanation.
Jinlong Hu, Jiacheng Liu, Shoubin Dong, Bin Liao, Junjie Liang

IEEE Trans Comput Biol Bioinform· December 2025

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Unsupervised SAM-guided mixture-of-multimodal-experts fusion network for medical image diagnosis.
Jing Li, Yixuan Wu, Xiaorou Zheng, Shoubin Dong

Neural Netw· November 2025

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Pretraining-based Relevance-aware Visit Similarity Network for Drug Recommendation.
Yichen He, Shoubin Dong, Yuchen Lin, Xiaorou Zheng, Jinlong Hu

IEEE J Biomed Health Inform· July 2025

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Confidence-aware adaptive fusion leaning of imbalance multi-modal data for cancer diagnosis and prognosis.
Ziye Zhang, Shijin Wang, Yuying Huang, XiaoRou Zheng, Shoubin Dong

IEEE J Biomed Health Inform· June 2025

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Identifying major depressive disorder based on cerebral blood flow and brain structure: An explainable multimodal learning study.
Jinlong Hu, Yaqian Hou, Bo Peng, Bin Liao, Ziyun Xu, Shoubin Dong

J Psychiatr Res· February 2025

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Spatio-temporal learning and explaining for dynamic functional connectivity analysis: Application to depression.
Jinlong Hu, Jianmiao Luo, Ziyun Xu, Bin Liao, Shoubin Dong

J Affect Disord· November 2024

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MBFusion: Multi-modal balanced fusion and multi-task learning for cancer diagnosis and prognosis.
Ziye Zhang, Wendong Yin, Shijin Wang, Xiaorou Zheng, Shoubin Dong

Comput Biol Med· October 2024

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BrainNPT: Pre-Training Transformer Networks for Brain Network Classification.
Jinlong Hu, Yangmin Huang, Nan Wang, Shoubin Dong

IEEE Trans Neural Syst Rehabil Eng· August 2024

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Incorporating entity-level knowledge in pretrained language model for biomedical dense retrieval.
Jiajie Tan, Jinlong Hu, Shoubin Dong

Comput Biol Med· November 2023

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A Review of Fusion Methods for Omics and Imaging Data.
Weixian Huang, Kaiwen Tan, Ziye Zhang, Jinlong Hu, Shoubin Dong

IEEE/ACM Trans Comput Biol Bioinform· April 2023

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A Syntax-enhanced model based on category keywords for biomedical relation extraction.
Xiaofeng Liu, Jiajie Tan, Jianye Fan, Kaiwen Tan, Jinlong Hu, Shoubin Dong

J Biomed Inform· August 2022

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A multi-modal fusion framework based on multi-task correlation learning for cancer prognosis prediction.
Kaiwen Tan, Weixian Huang, Xiaofeng Liu, Jinlong Hu, Shoubin Dong

Artif Intell Med· April 2022

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A Hierarchical Graph Convolution Network for Representation Learning of Gene Expression Data.
Kaiwen Tan, Weixian Huang, Xiaofeng Liu, Jinlong Hu, Shoubin Dong

IEEE J Biomed Health Inform· August 2021

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GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification.
Jinlong Hu, Lijie Cao, Tenghui Li, Shoubin Dong, Ping Li

BMC Bioinformatics· July 2021

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Interpretable Learning Approaches in Resting-State Functional Connectivity Analysis: The Case of Autism Spectrum Disorder.
Jinlong Hu, Lijie Cao, Tenghui Li, Bin Liao, Shoubin Dong

Comput Math Methods Med· April 2021

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Variant-Kudu: An Efficient Tool kit Leveraging Distributed Bitmap Index for Analysis of Massive Genetic Variation Datasets.
Jianye Fan, Shoubin Dong, Bo Wang

J Comput Biol· September 2020

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Evaluation of Cell's Passability in the ECM Network.
Yongrou Zhang, Zetao Huang, Shoubin Dong, Zejia Liu, Yiping Liu

Biophys J· September 2020

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A Multichannel 2D Convolutional Neural Network Model for Task-Evoked fMRI Data Classification.
Jinlong Hu, Yuezhen Kuang, Bin Liao, Lijie Cao, Shoubin Dong

Comput Intell Neurosci· July 2020

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A multi-omics supervised autoencoder for pan-cancer clinical outcome endpoints prediction.
Kaiwen Tan, Weixian Huang, Jinlong Hu, Shoubin Dong

BMC Med Inform Decis Mak· July 2020

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Document-Level Biomedical Relation Extraction Leveraging Pretrained Self-Attention Structure and Entity Replacement: Algorithm and Pretreatment Method Validation Study.
Xiaofeng Liu, Jianye Fan, Shoubin Dong

JMIR Med Inform· May 2020

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LCQS: an efficient lossless compression tool of quality scores with random access functionality.
Jiabing Fu, Bixin Ke, Shoubin Dong

BMC Bioinformatics· March 2020

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PipeMEM: A Framework to Speed Up BWA-MEM in Spark with Low Overhead.
Lingqi Zhang, Cheng Liu, Shoubin Dong

Genes (Basel)· November 2019

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A deep learning model incorporating part of speech and self-matching attention for named entity recognition of Chinese electronic medical records.
Xiaoling Cai, Shoubin Dong, Jinlong Hu

BMC Med Inform Decis Mak· April 2019

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ADS-HCSpark: A scalable HaplotypeCaller leveraging adaptive data segmentation to accelerate variant calling on Spark.
Anghong Xiao, Zongze Wu, Shoubin Dong

BMC Bioinformatics· February 2019

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