Shoubin Dong

Orcid: 0000-0003-0153-850X

According to our database1, Shoubin Dong authored at least 108 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An efficient many-objective optimization algorithm for computation offloading in heterogeneous vehicular edge computing network.
Simul. Model. Pract. Theory, February, 2024

Multi-objective task offloading for highly dynamic heterogeneous Vehicular Edge Computing: An efficient reinforcement learning approach.
Comput. Commun., 2024

MBFusion: Multi-modal balanced fusion and multi-task learning for cancer diagnosis and prognosis.
Comput. Biol. Medicine, 2024

2023
Multi-objective computation offloading based on Invasive Tumor Growth Optimization for collaborative edge-cloud computing.
Soft Comput., December, 2023

Interpretable Disease Prediction via Path Reasoning over medical knowledge graphs and admission history.
Knowl. Based Syst., December, 2023

Incorporating entity-level knowledge in pretrained language model for biomedical dense retrieval.
Comput. Biol. Medicine, November, 2023

Explainable Natural Language Inference via Identifying Important Rationales.
IEEE Trans. Artif. Intell., June, 2023

A Two-Stage Multi-Objective Task Scheduling Framework Based on Invasive Tumor Growth Optimization Algorithm for Cloud Computing.
J. Grid Comput., June, 2023

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community.
AI Open, January, 2023

A Review of Fusion Methods for Omics and Imaging Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Generating knowledge aware explanation for natural language inference.
Inf. Process. Manag., 2023

Deep Learning Overloaded Vehicle Identification for Long Span Bridges Based on Structural Health Monitoring Data.
CoRR, 2023

BrainNPT: Pre-training of Transformer networks for brain network classification.
CoRR, 2023

Transformer and Snowball Graph Convolution Learning for Biomedical Graph Classification.
CoRR, 2023

RC R-CNN for Bone Marrow Cell Recognition.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Bilateral Mammogram Mass Detection Based on Window Cross Attention.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

BrainPST: Pre-training Stacked Transformers for Dynamic Brain Functional Network Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Transformer and Snowball Graph Convolution Learning for Brain Functional Network Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Entity Relation Aware Graph Neural Ranking for Biomedical Information Retrieval.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
HSRec: Hierarchical self-attention incorporating knowledge graph for sequential recommendation.
J. Intell. Fuzzy Syst., 2022

A Syntax-enhanced model based on category keywords for biomedical relation extraction.
J. Biomed. Informatics, 2022

Spark-ITGO: a parallel invasive tumor growth optimization algorithm on spark.
Clust. Comput., 2022

A multi-modal fusion framework based on multi-task correlation learning for cancer prognosis prediction.
Artif. Intell. Medicine, 2022

Vehicle Damage Detection based on MD R-CNN.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

2021
A Hierarchical Graph Convolution Network for Representation Learning of Gene Expression Data.
IEEE J. Biomed. Health Informatics, 2021

GPU accelerated parallel reliability-guided digital volume correlation with automatic seed selection based on 3D SIFT.
Parallel Comput., 2021

GFE: General Knowledge Enhanced Framework for Explainable Sequential Recommendation.
Knowl. Based Syst., 2021

Multi-granularity sequential neural network for document-level biomedical relation extraction.
Inf. Process. Manag., 2021

Information retrieval: a view from the Chinese IR community.
Frontiers Comput. Sci., 2021

AEFE: Automatic Embedded Feature Engineering for Categorical Features.
CoRR, 2021

GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification.
BMC Bioinform., 2021

2020
GFD: A Weighted Heterogeneous Graph Embedding Based Approach for Fraud Detection in Mobile Advertising.
Secur. Commun. Networks, 2020

Spherical search optimizer: a simple yet efficient meta-heuristic approach.
Neural Comput. Appl., 2020

Memetic quantum evolution algorithm for global optimization.
Neural Comput. Appl., 2020

A multi-omics supervised autoencoder for pan-cancer clinical outcome endpoints prediction.
BMC Medical Informatics Decis. Mak., 2020

HAGERec: Hierarchical Attention Graph Convolutional Network Incorporating Knowledge Graph for Explainable Recommendation.
Knowl. Based Syst., 2020

Variant-Kudu: An Efficient Tool kit Leveraging Distributed Bitmap Index for Analysis of Massive Genetic Variation Datasets.
J. Comput. Biol., 2020

Interpretable Learning Approaches in Resting-State Functional Connectivity Analysis: The Case of Autism Spectrum Disorder.
Comput. Math. Methods Medicine, 2020

LCQS: an efficient lossless compression tool of quality scores with random access functionality.
BMC Bioinform., 2020

A Vascular Invasive Tumor Growth Optimization Algorithm for Multi-Objective Optimization.
IEEE Access, 2020

RACRec: Review Aware Cross-Domain Recommendation for Fully-Cold-Start User.
IEEE Access, 2020

GCN-LRP explanation: exploring latent attention of graph convolutional networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Enriching Pre-trained Language Model with Dependency Syntactic Information for Chemical-Protein Interaction Extraction.
Proceedings of the Information Retrieval - 26th China Conference, 2020

Graph Learning Approaches for Graph with Noise: Application to Disease Prediction in Population Graph.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
A deep learning model incorporating part of speech and self-matching attention for named entity recognition of Chinese electronic medical records.
BMC Medical Informatics Decis. Mak., 2019

A Multichannel 2D Convolutional Neural Network Model for Task-Evoked fMRI Data Classification.
Comput. Intell. Neurosci., 2019

ADS-HCSpark: A scalable HaplotypeCaller leveraging adaptive data segmentation to accelerate variant calling on Spark.
BMC Bioinform., 2019

SCUT-CCNL at TREC 2019 Precision Medicine Track.
Proceedings of the Twenty-Eighth Text REtrieval Conference, 2019

LTRRS: A Learning to Rank Based Algorithm for Resource Selection in Distributed Information Retrieval.
Proceedings of the Information Retrieval - 25th China Conference, 2019

2018
A Multiqueue Interlacing Peak Scheduling Method Based on Tasks' Classification in Cloud Computing.
IEEE Syst. J., 2018

Jointly Modeling User and Item Reviews by CNN for Multi-domain Recommendation.
Proceedings of the Information Retrieval - 24th China Conference, 2018

Top-N-Rank: A Scalable List-wise Ranking Method for Recommender Systems.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

pRNN: A Recurrent Neural Network based Approach for Customer Churn Prediction in Telecommunication Sector.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

CloudGT: A High Performance Genome Analysis Toolkit Leveraging Pipeline Optimization on Spark.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Dynamically Weighted Load Evaluation Method Based on Self-adaptive Threshold in Cloud Computing.
Mob. Networks Appl., 2017

iBGP: A Bipartite Graph Propagation Approach for Mobile Advertising Fraud Detection.
Mob. Inf. Syst., 2017

A neighbor knowledge and velocity-based broadcast scheme for wireless ad hoc networks.
Int. J. Distributed Sens. Networks, 2017

A Multi-Objective Hybrid Cloud Resource Scheduling Method Based on Deadline and Cost Constraints.
IEEE Access, 2017

Job Scheduling Optimization of High Performance Computing in Biological Gene Sequencing Based on Workload Analysis.
Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

A hybrid bipartite graph based recommendation algorithm for mobile games.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

ALL-CQS: Adaptive locality-based lossy compression of quality scores.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Drug-drug interaction relation extraction with deep convolutional neural networks.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Intrusive tumor growth inspired optimization algorithm for data clustering.
Neural Comput. Appl., 2016

A two-stage quantum-behaved particle swarm optimization with skipping search rule and weight to solve continuous optimization problem.
Neural Comput. Appl., 2016

Personalized news recommendation based on articles chain building.
Neural Comput. Appl., 2016

A lévy flight-based shuffled frog-leaping algorithm and its applications for continuous optimization problems.
Appl. Soft Comput., 2016

LCTD: A lossless compression tool of FASTQ file based on transformation of original file distribution.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

A lossless FASTQ Quality Scores file compression algorithm based on linear combination prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Multimedia event detection with ℓ2-regularized logistic Gaussian mixture regression.
Neural Comput. Appl., 2015

A velocity and neighbor density-based broadcast scheme in mobile ad hoc networks.
J. High Speed Networks, 2015

A Cloud Resource Evaluation Model Based on Entropy Optimization and Ant Colony Clustering.
Comput. J., 2015

ITGO: Invasive tumor growth optimization algorithm.
Appl. Soft Comput., 2015

A Multi-Objective Optimization Scheduling Method Based on the Ant Colony Algorithm in Cloud Computing.
IEEE Access, 2015

A dynamic self-adaptive resource-load evaluation method in cloud computing.
Proceedings of the 11th International Conference on Heterogeneous Networking for Quality, 2015

2014
An energy-aware heuristic framework for virtual machine consolidation in Cloud computing.
J. Supercomput., 2014

Increasing recommended effectiveness with markov chains and purchase intervals.
Neural Comput. Appl., 2014

2013
Energy-Aware Framework for Virtual Machine Consolidation in Cloud Computing.
Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013

2012
Initiative movement prediction assisted adaptive handover trigger scheme in fast MIPv6.
Comput. Commun., 2012

Dynamic VM Consolidation for Energy-Aware and SLA Violation Reduction in Cloud Computing.
Proceedings of the 13th International Conference on Parallel and Distributed Computing, 2012

2011
A multi-strategy collaborative prediction model for the runtime of online tasks in computing cluster/grid.
Clust. Comput., 2011

A New Replication Scheduling Strategy for Grid Workflow Applications.
Proceedings of the Sixth Chinagrid Annual Conference, ChinaGrid 2011, Dalian, Liaoning, 2011

2010
A Trust Aware Grid Access Control Architecture Based on ABAC.
Proceedings of the Fifth International Conference on Networking, Architecture, and Storage, 2010

Design Consideration and Implementation of Portscan Detection Module on NP-Based IDS.
Proceedings of the International Conference on E-Business and E-Government, 2010

Evaluation of a Performance Model of Lustre File System.
Proceedings of the Fifth Annual ChinaGrid Conference, ChinaGrid 2010, Guangzhou, 2010

Trust-GSM: A Trust Aware Security Model for Multi-domain Grid.
Proceedings of the Fifth Annual ChinaGrid Conference, ChinaGrid 2010, Guangzhou, 2010

Personalized search based on learning user click history.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2009
A Hybrid Parallel Framework for the Cellular Potts Model Simulations.
Proceedings of the 15th IEEE International Conference on Parallel and Distributed Systems, 2009

Research on the Performance of xVM Virtual Machine Based on HPCC.
Proceedings of the Fourth ChinaGrid Annual Conference, ChinaGrid 2009, Yantai, Shandong, 2009

2007
PGO: A parallel computing platform for global optimization based on genetic algorithm.
Comput. Geosci., 2007

A Complex Virtual Screening Computing Platform Based on SOA.
Proceedings of The 2nd IEEE Asia-Pacific Services Computing Conference, 2007

2006
Service-oriented grid computation for large-scale parameter estimation in complex environmental modeling.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

Reverse Auction-Based Grid Resources Allocation.
Proceedings of the Agent Computing and Multi-Agent Systems, 2006

Addressing Interest Diversity in P2P Based Collaborative Spam Filtering.
Proceedings of the Grid and Cooperative Computing Workshops, 2006

A Novel Cluster Parallel File System.
Proceedings of the 17th International Workshop on Database and Expert Systems Applications (DEXA 2006), 2006

Applying Software Component Technology to NP-based System for Novel Network Services.
Proceedings of The 1st IEEE Asia-Pacific Services Computing Conference, 2006

GSGCP-FEM: A General Service-Oriented Grid Computing Platform for FEM-Based Simulations.
Proceedings of The 1st IEEE Asia-Pacific Services Computing Conference, 2006

2005
Cache Management of Cluster Parallel File System.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2005

Design and Implementation of HTSPFS: High-Throughput and Scalable Parallel File System.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2005

Grid Computing Methodology for Protein Structure Prediction and Analysis.
Proceedings of the Parallel and Distributed Processing and Applications, 2005

2004
A Grid-Enabled Pipeline for siRNA Design.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2004

On Two Problems of w-Wide Distance and (w-1)-Fault Distance, w-Wide Diameter ad (w-1)-Fault Diameter.
Proceedings of the International Conference on Modeling, 2004

A Parallel Crawling Schema Using Dynamic Partition.
Proceedings of the Computational Science, 2004

Building Grid Monitoring System Based on Globus Toolkit: Architecture and Implementation.
Proceedings of the Computational and Information Science, First International Symposium, 2004

2003
A stability-based multipath routing algorithm for ad hoc networks.
Proceedings of the IEEE 14th International Symposium on Personal, 2003

Service Management Architecture for Providing AAA and Differentiated Service in Mobile IPv6.
Proceedings of the Mobile and Wireless Communications Networks, 2003

An Improved Ganglia-Like Clusters Monitoring System.
Proceedings of the Grid and Cooperative Computing, Second International Workshop, 2003

Charging and Accounting for Grid Computing System.
Proceedings of the Grid and Cooperative Computing, Second International Workshop, 2003

An Efficient Parallel Crawler in Grid Environment.
Proceedings of the Grid and Cooperative Computing, Second International Workshop, 2003


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