An Efficient Parallel Crawler in Grid Environment. - Shoubin Dong; Xiaofeng Lu; Ling Zhang 005; Kejing He (GCC (1), 2003)

Charging and Accounting for Grid Computing System. - Zhengyou Liang; Ling Zhang 005; Shoubin Dong; Wenguo Wei (GCC (2), 2003)

An Improved Ganglia-Like Clusters Monitoring System. - Wenguo Wei; Shoubin Dong; Ling Zhang 005; Zhengyou Liang (GCC (2), 2003)

Service Management Architecture for Providing AAA and Differentiated Service in Mobile IPv6. - Shoubin Dong; Luliang Jiang; Liqun Tang; Jian Ma; Ling Zhang 005 (MWCN, 2003)

A stability-based multipath routing algorithm for ad hoc networks. - Jinglun Shi; Zhang Ling; Shoubin Dong; Zhou Jie (PIMRC, 2003)

Building Grid Monitoring System Based on Globus Toolkit: Architecture and Implementation. - Kejing He; Shoubin Dong; Ling Zhang 005; Binglin Song (CIS, 2004)

A Parallel Crawling Schema Using Dynamic Partition. - Shoubin Dong; Xiaofeng Lu; Ling Zhang 005 (International Conference on Computational Science, 2004)

On Two Problems of w-Wide Distance and (w-1)-Fault Distance, w-Wide Diameter ad (w-1)-Fault Diameter. - Wenguo Wei; Ling Zhang 005; Shoubin Dong; Bolian Liu (MSV/AMCS, 2004)

A Grid-Enabled Pipeline for siRNA Design. - Kejing He; Shoubin Dong; Zhengping Du; Yicheng Cao; Ling Zhang 005 (PDPTA, 2004)

Grid Computing Methodology for Protein Structure Prediction and Analysis. - Shoubin Dong; Pengfei Liu; Yicheng Cao; Zhengping Du (ISPA Workshops, 2005)

Design and Implementation of HTSPFS: High-Throughput and Scalable Parallel File System. - Wenguo Wei; Shoubin Dong; Ling Zhang 005; Chaotian Chen (PDPTA, 2005)

Cache Management of Cluster Parallel File System. - Wenguo Wei; Ling Zhang 005; Shoubin Dong; Chaotian Chen (PDPTA, 2005)

GSGCP-FEM: A General Service-Oriented Grid Computing Platform for FEM-Based Simulations. - Kejing He; Shoubin Dong; Jianfei He; Liqun Tang (APSCC, 2006)

Applying Software Component Technology to NP-based System for Novel Network Services. - Xian-Cheng Xu; Ling Zhang 005; Shoubin Dong (APSCC, 2006)

A Novel Cluster Parallel File System. - Wenguo Wei; Shoubin Dong; Ling Zhang 005; Jialin Li (DEXA Workshops, 2006)

Addressing Interest Diversity in P2P Based Collaborative Spam Filtering. - Weidong Fang; Shoubin Dong (GCC Workshops, 2006)

Reverse Auction-Based Grid Resources Allocation. - Zhengyou Liang; Yu Sun; Ling Zhang 005; Shoubin Dong (PRIMA, 2006)

Service-oriented grid computation for large-scale parameter estimation in complex environmental modeling. - Kejing He; Shoubin Dong; Li Zheng (SAC, 2006)

A Complex Virtual Screening Computing Platform Based on SOA. - Pengfei Liu; Shoubin Dong; Yicheng Cao; Zhengping Du; Zhike Mao (APSCC, 2007)

PGO: A parallel computing platform for global optimization based on genetic algorithm. - Kejing He; Li Zheng; Shoubin Dong; Liqun Tang; Jianfeng Wu; Chunmiao Zheng (Comput. Geosci., 2007)

Research on the Performance of xVM Virtual Machine Based on HPCC. - Tiezhu Zhao; Yilong Ding; Verdi March; Shoubin Dong; Simon See (ChinaGrid, 2009)

A Hybrid Parallel Framework for the Cellular Potts Model Simulations. - Kejing He; Yi Jiang; Shoubin Dong (ICPADS, 2009)

Personalized search based on learning user click history. - Cheqian Chen; Kequan Lin; Heshan Li; Shoubin Dong (IEEE ICCI, 2010)

Trust-GSM: A Trust Aware Security Model for Multi-domain Grid. - Tiezhu Zhao; Shoubin Dong (ChinaGrid, 2010)

Evaluation of a Performance Model of Lustre File System. - Tiezhu Zhao; Verdi March; Shoubin Dong; Simon See (ChinaGrid, 2010)

Design Consideration and Implementation of Portscan Detection Module on NP-Based IDS. - Xian-Cheng Xu; Ling Zhang 005; Shoubin Dong (ICEE, 2010)

A Trust Aware Grid Access Control Architecture Based on ABAC. - Tiezhu Zhao; Shoubin Dong (NAS, 2010)

A New Replication Scheduling Strategy for Grid Workflow Applications. - Ming Tao 001; Shoubin Dong; Kejing He (ChinaGrid, 2011)

A multi-strategy collaborative prediction model for the runtime of online tasks in computing cluster/grid. - Ming Tao 001; Shoubin Dong; Liping Zhang (Clust. Comput., 2011)

Dynamic VM Consolidation for Energy-Aware and SLA Violation Reduction in Cloud Computing. - Zhibo Cao; Shoubin Dong (PDCAT, 2012)

Initiative movement prediction assisted adaptive handover trigger scheme in fast MIPv6. - Ming Tao 001; Huaqiang Yuan; Shoubin Dong; Hewei Yu (Comput. Commun., 2012)

Energy-Aware Framework for Virtual Machine Consolidation in Cloud Computing. - Zhibo Cao; Shoubin Dong (HPCC/EUC, 2013)

Increasing recommended effectiveness with markov chains and purchase intervals. - Wanrong Gu; Shoubin Dong; Zhizhao Zeng (Neural Comput. Appl., 2014)

An energy-aware heuristic framework for virtual machine consolidation in Cloud computing. - Zhibo Cao; Shoubin Dong (J. Supercomput., 2014)

A dynamic self-adaptive resource-load evaluation method in cloud computing. - Liyun Zuo; Lei Shu 001; Shoubin Dong; Zhangbing Zhou; Lei Wang 005 (QSHINE, 2015)

A Multi-Objective Optimization Scheduling Method Based on the Ant Colony Algorithm in Cloud Computing. - Liyun Zuo; Lei Shu 001; Shoubin Dong; Chunsheng Zhu; Takahiro Hara (IEEE Access, 2015)

ITGO: Invasive tumor growth optimization algorithm. - De-Yu Tang; Shoubin Dong; Yi Jiang; Huan Li; Yi-Shuan Huang (Appl. Soft Comput., 2015)

A Cloud Resource Evaluation Model Based on Entropy Optimization and Ant Colony Clustering. - Liyun Zuo; Shoubin Dong; Chunsheng Zhu; Lei Shu 001; Guangjie Han (Comput. J., 2015)

A velocity and neighbor density-based broadcast scheme in mobile ad hoc networks. - Dingzhu Lu; Shoubin Dong; Ming Tao 001; Chunru Dong; Bingcheng Qiu (J. High Speed Networks, 2015)

Multimedia event detection with ℓ2-regularized logistic Gaussian mixture regression. - Changyu Liu; Shoubin Dong; Bin Lu; Mohamed Abdel-Mottaleb (Neural Comput. Appl., 2015)

A lossless FASTQ Quality Scores file compression algorithm based on linear combination prediction. - Jiabing Fu; Yacong Ma; Shoubin Dong (BIBM, 2016)

LCTD: A lossless compression tool of FASTQ file based on transformation of original file distribution. - Jiabing Fu; Yacong Ma; Bixin Ke; Shoubin Dong (BIBM, 2016)

A lévy flight-based shuffled frog-leaping algorithm and its applications for continuous optimization problems. - Deyu Tang; Jin Yang 004; Shoubin Dong; Zhen Liu 017 (Appl. Soft Comput., 2016)

Personalized news recommendation based on articles chain building. - Wanrong Gu; Shoubin Dong; Mingquan Chen (Neural Comput. Appl., 2016)

A two-stage quantum-behaved particle swarm optimization with skipping search rule and weight to solve continuous optimization problem. - Deyu Tang; Shoubin Dong; Xianfa Cai; Jie Zhao 011 (Neural Comput. Appl., 2016)

Intrusive tumor growth inspired optimization algorithm for data clustering. - De-Yu Tang; Shoubin Dong; Lifang He 001; Yi Jiang (Neural Comput. Appl., 2016)

Drug-drug interaction relation extraction with deep convolutional neural networks. - Ika Novita Dewi; Shoubin Dong; Jinlong Hu (BIBM, 2017)

ALL-CQS: Adaptive locality-based lossy compression of quality scores. - Jiabing Fu; Shoubin Dong (BIBM, 2017)

A hybrid bipartite graph based recommendation algorithm for mobile games. - Yong Cai; Shaorong Liu; Jinlong Hu; Guihong Bai; Shoubin Dong (IEEE BigData, 2017)

Job Scheduling Optimization of High Performance Computing in Biological Gene Sequencing Based on Workload Analysis. - Xiaofei Wu; Shoubin Dong; Liyun Zuo; Yizhen Sun (ISPA/IUCC, 2017)

A Multi-Objective Hybrid Cloud Resource Scheduling Method Based on Deadline and Cost Constraints. - Liyun Zuo; Lei Shu 001; Shoubin Dong; Yuanfang Chen; Li Yan (IEEE Access, 2017)

A neighbor knowledge and velocity-based broadcast scheme for wireless ad hoc networks. - Dingzhu Lu; Shoubin Dong (Int. J. Distributed Sens. Networks, 2017)

iBGP: A Bipartite Graph Propagation Approach for Mobile Advertising Fraud Detection. - Jinlong Hu; Junjie Liang; Shoubin Dong (Mob. Inf. Syst., 2017)

Dynamically Weighted Load Evaluation Method Based on Self-adaptive Threshold in Cloud Computing. - Liyun Zuo; Lei Shu 001; Shoubin Dong; Chunsheng Zhu; Zhangbing Zhou (Mob. Networks Appl., 2017)

CloudGT: A High Performance Genome Analysis Toolkit Leveraging Pipeline Optimization on Spark. - Anghong Xiao; Shoubin Dong; Cheng Liu; Lingqi Zhang; Zongze Wu (BIBM, 2018)

pRNN: A Recurrent Neural Network based Approach for Customer Churn Prediction in Telecommunication Sector. - Jinlong Hu; Yi Zhuang; Jiang Yang; Lei Lei; Minjie Huang; Runchao Zhu; Shoubin Dong (IEEE BigData, 2018)

Top-N-Rank: A Scalable List-wise Ranking Method for Recommender Systems. - Junjie Liang; Jinlong Hu; Shoubin Dong; Vasant G. Honavar (IEEE BigData, 2018)

Jointly Modeling User and Item Reviews by CNN for Multi-domain Recommendation. - Yong Cai; Shoubin Dong; Jinlong Hu (CCIR, 2018)

A Multiqueue Interlacing Peak Scheduling Method Based on Tasks' Classification in Cloud Computing. - Liyun Zuo; Shoubin Dong; Lei Shu 001; Chunsheng Zhu; Guangjie Han (IEEE Syst. J., 2018)

LTRRS: A Learning to Rank Based Algorithm for Resource Selection in Distributed Information Retrieval. - Tianfeng Wu; Xiaofeng Liu 014; Shoubin Dong (CCIR, 2019)

SCUT-CCNL at TREC 2019 Precision Medicine Track. - Xiaofeng Liu 014; Lu Li; Zuoxi Yang; Shoubin Dong (TREC, 2019)

ADS-HCSpark: A scalable HaplotypeCaller leveraging adaptive data segmentation to accelerate variant calling on Spark. - Anghong Xiao; Zongze Wu; Shoubin Dong (BMC Bioinform., 2019)

A Multichannel 2D Convolutional Neural Network Model for Task-Evoked fMRI Data Classification. - Jinlong Hu; Yuezhen Kuang; Bin Liao 005; Lijie Cao; Shoubin Dong; Ping Li 026 (Comput. Intell. Neurosci., 2019)

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 Medical Informatics Decis. Mak., 2019)

Graph Learning Approaches for Graph with Noise: Application to Disease Prediction in Population Graph. - Lang Chen; Yangmin Huang; Bin Liao 005; Kun Nie; Shoubin Dong; Jinlong Hu (BIBM, 2020)

Enriching Pre-trained Language Model with Dependency Syntactic Information for Chemical-Protein Interaction Extraction. - Jianye Fan; Xiaofeng Liu 014; Shoubin Dong; Jinlong Hu (CCIR, 2020)

GCN-LRP explanation: exploring latent attention of graph convolutional networks. - Jinlong Hu; Tenghui Li; Shoubin Dong (IJCNN, 2020)

RACRec: Review Aware Cross-Domain Recommendation for Fully-Cold-Start User. - Yaru Jin; Shoubin Dong; Yong Cai; Jinlong Hu (IEEE Access, 2020)

A Vascular Invasive Tumor Growth Optimization Algorithm for Multi-Objective Optimization. - Jing Zhou; Shoubin Dong; Deyu Tang; Xiaofei Wu (IEEE Access, 2020)

LCQS: an efficient lossless compression tool of quality scores with random access functionality. - Jiabing Fu; Bixin Ke; Shoubin Dong (BMC Bioinform., 2020)

Interpretable Learning Approaches in Resting-State Functional Connectivity Analysis: The Case of Autism Spectrum Disorder. - Jinlong Hu; Lijie Cao; Tenghui Li; Bin Liao 005; Shoubin Dong; Ping Li 026 (Comput. Math. Methods Medicine, 2020)

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., 2020)

HAGERec: Hierarchical Attention Graph Convolutional Network Incorporating Knowledge Graph for Explainable Recommendation. - Zuoxi Yang; Shoubin Dong (Knowl. Based Syst., 2020)

A multi-omics supervised autoencoder for pan-cancer clinical outcome endpoints prediction. - Kaiwen Tan; Weixian Huang; Jinlong Hu; Shoubin Dong (BMC Medical Informatics Decis. Mak., 2020)

Memetic quantum evolution algorithm for global optimization. - Deyu Tang; Zhen Liu 017; Jie Zhao 011; Shoubin Dong; Yongming Cai (Neural Comput. Appl., 2020)

Spherical search optimizer: a simple yet efficient meta-heuristic approach. - Jie Zhao 011; Deyu Tang; Zhen Liu 017; Yongming Cai; Shoubin Dong (Neural Comput. Appl., 2020)

GFD: A Weighted Heterogeneous Graph Embedding Based Approach for Fraud Detection in Mobile Advertising. - Jinlong Hu; Tenghui Li; Yi Zhuang; Song Huang; Shoubin Dong (Secur. Commun. Networks, 2020)

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 026 (BMC Bioinform., 2021)

AEFE: Automatic Embedded Feature Engineering for Categorical Features. - Zhenyuan Zhong; Jie Yang; Yacong Ma; Shoubin Dong; Jinlong Hu (CoRR, 2021)

Information retrieval: a view from the Chinese IR community. - Zhumin Chen; Xueqi Cheng; Shoubin Dong; Zhicheng Dou; Jiafeng Guo; Xuanjing Huang 001; Yanyan Lan; Chenliang Li; Ru Li; Tie-Yan Liu; Yiqun Liu 001; Jun Ma 001; et al. (Frontiers Comput. Sci., 2021)

Multi-granularity sequential neural network for document-level biomedical relation extraction. - Xiaofeng Liu 014; Kaiwen Tan; Shoubin Dong (Inf. Process. Manag., 2021)

GFE: General Knowledge Enhanced Framework for Explainable Sequential Recommendation. - Zuoxi Yang; Shoubin Dong; Jinlong Hu (Knowl. Based Syst., 2021)

GPU accelerated parallel reliability-guided digital volume correlation with automatic seed selection based on 3D SIFT. - Linchao Cai; Junrong Yang; Shoubin Dong; Zhenyu Jiang (Parallel Comput., 2021)

A Hierarchical Graph Convolution Network for Representation Learning of Gene Expression Data. - Kaiwen Tan; Weixian Huang; Xiaofeng Liu 014; Jinlong Hu; Shoubin Dong (IEEE J. Biomed. Health Informatics, 2021)

Vehicle Damage Detection based on MD R-CNN. - Yuxin Chen; Hua Yuan; Shoubin Dong; Jinbo Peng (ICTAI, 2022)

A multi-modal fusion framework based on multi-task correlation learning for cancer prognosis prediction. - Kaiwen Tan; Weixian Huang; Xiaofeng Liu 014; Jinlong Hu; Shoubin Dong (Artif. Intell. Medicine, 2022)

Spark-ITGO: a parallel invasive tumor growth optimization algorithm on spark. - Jiaqin Lin; Anghong Xiao; Shoubin Dong; Jing Zhou (Clust. Comput., 2022)

A Syntax-enhanced model based on category keywords for biomedical relation extraction. - Xiaofeng Liu 014; Jiajie Tan; Jianye Fan; Kaiwen Tan; Jinlong Hu; Shoubin Dong (J. Biomed. Informatics, 2022)

HSRec: Hierarchical self-attention incorporating knowledge graph for sequential recommendation. - Zuoxi Yang; Shoubin Dong (J. Intell. Fuzzy Syst., 2022)

Entity Relation Aware Graph Neural Ranking for Biomedical Information Retrieval. - Yichen He; Xiaofeng Liu 014; Jinlong Hu; Shoubin Dong (BIBM, 2023)

Transformer and Snowball Graph Convolution Learning for Brain Functional Network Analysis. - Jinlong Hu; Yangmin Huang; Shoubin Dong (BIBM, 2023)

BrainPST: Pre-training Stacked Transformers for Dynamic Brain Functional Network Analysis. - Jinlong Hu; Yangmin Huang; Yi Zhuo; Shoubin Dong (BIBM, 2023)

Bilateral Mammogram Mass Detection Based on Window Cross Attention. - Hua Yuan; YiMao Yan; Shoubin Dong (ICANN (4), 2023)

RC R-CNN for Bone Marrow Cell Recognition. - Hua Yuan; Jian Luo; Shoubin Dong (ICTAI, 2023)

Transformer and Snowball Graph Convolution Learning for Biomedical Graph Classification. - Jinlong Hu; Yangmin Huang; Shoubin Dong (CoRR, 2023)

BrainNPT: Pre-training of Transformer networks for brain network classification. - Jinlong Hu; Yangmin Huang; Nan Wang; Shoubin Dong (CoRR, 2023)

Deep Learning Overloaded Vehicle Identification for Long Span Bridges Based on Structural Health Monitoring Data. - Yuqin Li; Jun Liu; Shengliang Zhong; Licheng Zhou; Shoubin Dong; Zejia Liu; Liqun Tang (CoRR, 2023)

Generating knowledge aware explanation for natural language inference. - Zongbao Yang; Yinxin Xu; Jinlong Hu; Shoubin Dong (Inf. Process. Manag., 2023)

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., 2023)

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. - Qingyao Ai; Ting Bai; Zhao Cao; Yi Chang 001; Jiawei Chen 007; Zhumin Chen; Zhiyong Cheng 001; Shoubin Dong; Zhicheng Dou; Fuli Feng; Shen Gao; Jiafeng Guo; et al. (AI Open, 2023)

A Two-Stage Multi-Objective Task Scheduling Framework Based on Invasive Tumor Growth Optimization Algorithm for Cloud Computing. - Qianxue Hu; Xiaofei Wu; Shoubin Dong (J. Grid Comput., 2023)

Explainable Natural Language Inference via Identifying Important Rationales. - Zongbao Yang; Shoubin Dong; Jinlong Hu (IEEE Trans. Artif. Intell., 2023)

Incorporating entity-level knowledge in pretrained language model for biomedical dense retrieval. - Jiajie Tan; Jinlong Hu; Shoubin Dong (Comput. Biol. Medicine, 2023)

Interpretable Disease Prediction via Path Reasoning over medical knowledge graphs and admission history. - Zongbao Yang; Yuchen Lin; Yinxin Xu; Jinlong Hu; Shoubin Dong (Knowl. Based Syst., 2023)

Multi-objective computation offloading based on Invasive Tumor Growth Optimization for collaborative edge-cloud computing. - Xiaofei Wu; Shoubin Dong; Jinlong Hu; Qianxue Hu (Soft Comput., 2023)

Supervoxels-based Self-supervised Few-shot 3D Medical Image Segmentation via Multiple Features Transfer. - Jing Li; Yixuan Wu; Xiaorou Zheng; Shoubin Dong (BIBM, 2024)

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. Medicine, 2024)

Multi-objective task offloading for highly dynamic heterogeneous Vehicular Edge Computing: An efficient reinforcement learning approach. - Zhidong Huang; Xiaofei Wu; Shoubin Dong (Comput. Commun., 2024)

DCSim: Computing and Networking Integration based Container Scheduling Simulator for Data Centers. - Jinlong Hu; Zhizhe Rao; Xingchen Liu; Lihao Deng; Shoubin Dong (CoRR, 2024)

Explicit High-Level Semantic Network for Domain Generalization in Hyperspectral Image Classification. - Xusheng Wang; Shoubin Dong; Xiaorou Zheng; Runuo Lu; Jianxin Jia (IEEE Trans. Geosci. Remote. Sens., 2024)

An efficient many-objective optimization algorithm for computation offloading in heterogeneous vehicular edge computing network. - Xiaofei Wu; Shoubin Dong; Jinlong Hu; Zhidong Huang (Simul. Model. Pract. Theory, 2024)

Training and inference Time Efficiency Assessment Framework for machine learning algorithms: A case study for hyperspectral image classification. - Xiaorou Zheng; Jianxin Jia; Shoubin Dong; Yawei Wang; Runuo Lu; Yuwei Chen; Yueming Wang (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Adaptive disentangled target representation for unsupervised domain adaptation in remote sensing segmentation. - Runuo Lu; Shoubin Dong; Jianxin Jia; Xusheng Wang; Kai Liu; Jinsong Chen; Shanxin Guo; Xiaorou Zheng (Eng. Appl. Artif. Intell., 2025)

Knowledge enhanced edge-driven graph neural ranking for biomedical information retrieval. - Xiaofeng Liu 014; Jiajie Tan; Shoubin Dong (Expert Syst. Appl., 2025)

ADFusion: Multi-modal adaptive deep fusion for cancer subtype prediction. - Ziye Zhang; Weixian Huang; Shijin Wang; Kaiwen Tan; Xiaorou Zheng; Shoubin Dong (Inf. Fusion, 2025)

Car Damage Detection Based on Multi-View Fusion and Alignment: Dataset and Method. - Jinbo Peng; Shoubin Dong; Hua Yuan; Xiaorou Zheng (IEEE Trans. Intell. Transp. Syst., 2025)