Shoubin Dong

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 70

Top Venues

Publications

Ziye Zhang, Wendong Yin, Shijin Wang, Xiaorou Zheng, Shoubin Dong
MBFusion: Multi-modal balanced fusion and multi-task learning for cancer diagnosis and prognosis. Comput. Biol. Medicine 181 (2024)
Xiaofei Wu, Shoubin Dong, Jinlong Hu, Zhidong Huang
An efficient many-objective optimization algorithm for computation offloading in heterogeneous vehicular edge computing network. Simul. Model. Pract. Theory 131 (2024)
Zhidong Huang, Xiaofei Wu, Shoubin Dong
Multi-objective task offloading for highly dynamic heterogeneous Vehicular Edge Computing: An efficient reinforcement learning approach. Comput. Commun. 225 (2024)
Jinlong Hu, Yangmin Huang, Shoubin Dong
Transformer and Snowball Graph Convolution Learning for Brain Functional Network Analysis. BIBM (2023)
Xiaofei Wu, Shoubin Dong, Jinlong Hu, Qianxue Hu
Multi-objective computation offloading based on Invasive Tumor Growth Optimization for collaborative edge-cloud computing. Soft Comput. 27 (23) (2023)
Zongbao Yang, Shoubin Dong, Jinlong Hu
Explainable Natural Language Inference via Identifying Important Rationales. IEEE Trans. Artif. Intell. 4 (3) (2023)
Jinlong Hu, Yangmin Huang, Shoubin Dong
Transformer and Snowball Graph Convolution Learning for Biomedical Graph Classification. CoRR (2023)
Jiajie Tan, Jinlong Hu, Shoubin Dong
Incorporating entity-level knowledge in pretrained language model for biomedical dense retrieval. Comput. Biol. Medicine 166 (2023)
Jinlong Hu, Yangmin Huang, Yi Zhuo, Shoubin Dong
BrainPST: Pre-training Stacked Transformers for Dynamic Brain Functional Network Analysis. BIBM (2023)
Hua Yuan, Jian Luo, Shoubin Dong
RC R-CNN for Bone Marrow Cell Recognition. ICTAI (2023)
Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community. CoRR (2023)
Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. AI Open 4 (2023)
Jinlong Hu, Yangmin Huang, Nan Wang, Shoubin Dong
BrainNPT: Pre-training of Transformer networks for brain network classification. CoRR (2023)
Zongbao Yang, Yinxin Xu, Jinlong Hu, Shoubin Dong
Generating knowledge aware explanation for natural language inference. Inf. Process. Manag. 60 (2) (2023)
Qianxue Hu, Xiaofei Wu, Shoubin Dong
A Two-Stage Multi-Objective Task Scheduling Framework Based on Invasive Tumor Growth Optimization Algorithm for Cloud Computing. J. Grid Comput. 21 (2) (2023)
Zongbao Yang, Yuchen Lin, Yinxin Xu, Jinlong Hu, Shoubin Dong
Interpretable Disease Prediction via Path Reasoning over medical knowledge graphs and admission history. Knowl. Based Syst. 281 (2023)
Yuqin Li, Jun Liu, Shengliang Zhong, Licheng Zhou, Shoubin Dong, Zejia Liu, Liqun Tang
Deep Learning Overloaded Vehicle Identification for Long Span Bridges Based on Structural Health Monitoring Data. CoRR (2023)
Yichen He, Xiaofeng Liu, Jinlong Hu, Shoubin Dong
Entity Relation Aware Graph Neural Ranking for Biomedical Information Retrieval. BIBM (2023)
Weixian Huang, Kaiwen Tan, Ziye Zhang, Jinlong Hu, Shoubin Dong
A Review of Fusion Methods for Omics and Imaging Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (1) (2023)
Kaiwen Tan, Weixian Huang, Xiaofeng Liu, Jinlong Hu, Shoubin Dong
A Multi-modal Fusion Framework Based on Multi-task Correlation Learning for Cancer Prognosis Prediction. CoRR (2022)
Zuoxi Yang, Shoubin Dong
HSRec: Hierarchical self-attention incorporating knowledge graph for sequential recommendation. J. Intell. Fuzzy Syst. 42 (4) (2022)
Yuxin Chen, Hua Yuan, Shoubin Dong, Jinbo Peng
Vehicle Damage Detection based on MD R-CNN. ICTAI (2022)
Jiaqin Lin, Anghong Xiao, Shoubin Dong, Jing Zhou
Spark-ITGO: a parallel invasive tumor growth optimization algorithm on spark. Clust. Comput. 25 (4) (2022)
Kaiwen Tan, Weixian Huang, Xiaofeng Liu, Jinlong Hu, Shoubin Dong
A multi-modal fusion framework based on multi-task correlation learning for cancer prognosis prediction. Artif. Intell. Medicine 126 (2022)
Xiaofeng Liu, Jiajie Tan, Jianye Fan, Kaiwen Tan, Jinlong Hu, Shoubin Dong
A Syntax-enhanced model based on category keywords for biomedical relation extraction. J. Biomed. Informatics 132 (2022)
Xiaofeng Liu, Kaiwen Tan, Shoubin Dong
Multi-granularity sequential neural network for document-level biomedical relation extraction. Inf. Process. Manag. 58 (6) (2021)
Zhumin Chen, Xueqi Cheng, Shoubin Dong, Zhicheng Dou, Jiafeng Guo, Xuanjing Huang, Yanyan Lan, Chenliang Li, Ru Li, Tie-Yan Liu, Yiqun Liu, Jun Ma, Bing Qin, Mingwen Wang, Ji-Rong Wen, Jun Xu, Min Zhang, Peng Zhang, Qi Zhang
Information retrieval: a view from the Chinese IR community. Frontiers Comput. Sci. 15 (1) (2021)
Jinlong Hu, Lijie Cao, Tenghui Li, Shoubin Dong, Ping Li
GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification. BMC Bioinform. 22 (1) (2021)
Zhenyuan Zhong, Jie Yang, Yacong Ma, Shoubin Dong, Jinlong Hu
AEFE: Automatic Embedded Feature Engineering for Categorical Features. CoRR (2021)
Kaiwen Tan, Weixian Huang, Xiaofeng Liu, Jinlong Hu, Shoubin Dong
A Hierarchical Graph Convolution Network for Representation Learning of Gene Expression Data. IEEE J. Biomed. Health Informatics 25 (8) (2021)
Linchao Cai, Junrong Yang, Shoubin Dong, Zhenyu Jiang
GPU accelerated parallel reliability-guided digital volume correlation with automatic seed selection based on 3D SIFT. Parallel Comput. 108 (2021)
Zuoxi Yang, Shoubin Dong, Jinlong Hu
GFE: General Knowledge Enhanced Framework for Explainable Sequential Recommendation. Knowl. Based Syst. 230 (2021)
Jinlong Hu, Lijie Cao, Tenghui Li, Bin Liao, Shoubin Dong, Ping Li
Interpretable Learning Approaches in Resting-State Functional Connectivity Analysis: The Case of Autism Spectrum Disorder. Comput. Math. Methods Medicine 2020 (2020)
Jianye Fan, Xiaofeng Liu, Shoubin Dong, Jinlong Hu
Enriching Pre-trained Language Model with Dependency Syntactic Information for Chemical-Protein Interaction Extraction. CCIR (2020)
Kaiwen Tan, Weixian Huang, Jinlong Hu, Shoubin Dong
A multi-omics supervised autoencoder for pan-cancer clinical outcome endpoints prediction. BMC Medical Informatics Decis. Mak. (3) (2020)
Jiabing Fu, Bixin Ke, Shoubin Dong
LCQS: an efficient lossless compression tool of quality scores with random access functionality. BMC Bioinform. 21 (1) (2020)
Jinlong Hu, Tenghui Li, Shoubin Dong
GCN-LRP explanation: exploring latent attention of graph convolutional networks. IJCNN (2020)
Jie Zhao, Deyu Tang, Zhen Liu, Yongming Cai, Shoubin Dong
Spherical search optimizer: a simple yet efficient meta-heuristic approach. Neural Comput. Appl. 32 (13) (2020)
Lang Chen, Yangmin Huang, Bin Liao, Kun Nie, Shoubin Dong, Jinlong Hu
Graph Learning Approaches for Graph with Noise: Application to Disease Prediction in Population Graph. BIBM (2020)
Deyu Tang, Zhen Liu, Jie Zhao, Shoubin Dong, Yongming Cai
Memetic quantum evolution algorithm for global optimization. Neural Comput. Appl. 32 (13) (2020)
Jinlong Hu, Tenghui Li, Yi Zhuang, Song Huang, Shoubin Dong
GFD: A Weighted Heterogeneous Graph Embedding Based Approach for Fraud Detection in Mobile Advertising. Secur. Commun. Networks 2020 (2020)
Jianye Fan, Shoubin Dong, Bo Wang
Variant-Kudu: An Efficient Tool kit Leveraging Distributed Bitmap Index for Analysis of Massive Genetic Variation Datasets. J. Comput. Biol. 27 (9) (2020)
Yaru Jin, Shoubin Dong, Yong Cai, Jinlong Hu
RACRec: Review Aware Cross-Domain Recommendation for Fully-Cold-Start User. IEEE Access 8 (2020)
Zuoxi Yang, Shoubin Dong
HAGERec: Hierarchical Attention Graph Convolutional Network Incorporating Knowledge Graph for Explainable Recommendation. Knowl. Based Syst. 204 (2020)
Jing Zhou, Shoubin Dong, Deyu Tang, Xiaofei Wu
A Vascular Invasive Tumor Growth Optimization Algorithm for Multi-Objective Optimization. IEEE Access 8 (2020)
Xiaoling Cai, Shoubin Dong, Jinlong Hu
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. (2) (2019)
Xiaofeng Liu, Lu Li, Zuoxi Yang, Shoubin Dong
SCUT-CCNL at TREC 2019 Precision Medicine Track. TREC (2019)
Tianfeng Wu, Xiaofeng Liu, Shoubin Dong
LTRRS: A Learning to Rank Based Algorithm for Resource Selection in Distributed Information Retrieval. CCIR (2019)
Jinlong Hu, Yuezhen Kuang, Bin Liao, Lijie Cao, Shoubin Dong, Ping Li
A Multichannel 2D Convolutional Neural Network Model for Task-Evoked fMRI Data Classification. Comput. Intell. Neurosci. 2019 (2019)
Anghong Xiao, Zongze Wu, Shoubin Dong
ADS-HCSpark: A scalable HaplotypeCaller leveraging adaptive data segmentation to accelerate variant calling on Spark. BMC Bioinform. 20 (1) (2019)
Jinlong Hu, Yi Zhuang, Jiang Yang, Lei Lei, Minjie Huang, Runchao Zhu, Shoubin Dong
pRNN: A Recurrent Neural Network based Approach for Customer Churn Prediction in Telecommunication Sector. IEEE BigData (2018)
Yong Cai, Shoubin Dong, Jinlong Hu
Jointly Modeling User and Item Reviews by CNN for Multi-domain Recommendation. CCIR (2018)
Junjie Liang, Jinlong Hu, Shoubin Dong, Vasant G. Honavar
Top-N-Rank: A Scalable List-wise Ranking Method for Recommender Systems. IEEE BigData (2018)
Junjie Liang, Jinlong Hu, Shoubin Dong, Vasant G. Honavar
Top-N-Rank: A Scalable List-wise Ranking Method for Recommender Systems. CoRR (2018)
Anghong Xiao, Shoubin Dong, Cheng Liu, Lingqi Zhang, Zongze Wu
CloudGT: A High Performance Genome Analysis Toolkit Leveraging Pipeline Optimization on Spark. BIBM (2018)
Liyun Zuo, Shoubin Dong, Lei Shu, Chunsheng Zhu, Guangjie Han
A Multiqueue Interlacing Peak Scheduling Method Based on Tasks' Classification in Cloud Computing. IEEE Syst. J. 12 (2) (2018)
Yong Cai, Shaorong Liu, Jinlong Hu, Guihong Bai, Shoubin Dong
A hybrid bipartite graph based recommendation algorithm for mobile games. IEEE BigData (2017)
Xiaofei Wu, Shoubin Dong, Liyun Zuo, Yizhen Sun
Job Scheduling Optimization of High Performance Computing in Biological Gene Sequencing Based on Workload Analysis. ISPA/IUCC (2017)
Dingzhu Lu, Shoubin Dong
A neighbor knowledge and velocity-based broadcast scheme for wireless ad hoc networks. Int. J. Distributed Sens. Networks 13 (11) (2017)
Jinlong Hu, Junjie Liang, Shoubin Dong
iBGP: A Bipartite Graph Propagation Approach for Mobile Advertising Fraud Detection. Mob. Inf. Syst. 2017 (2017)
Ika Novita Dewi, Shoubin Dong, Jinlong Hu
Drug-drug interaction relation extraction with deep convolutional neural networks. BIBM (2017)
Jiabing Fu, Shoubin Dong
ALL-CQS: Adaptive locality-based lossy compression of quality scores. BIBM (2017)
Liyun Zuo, Lei Shu, Shoubin Dong, Chunsheng Zhu, Zhangbing Zhou
Dynamically Weighted Load Evaluation Method Based on Self-adaptive Threshold in Cloud Computing. Mob. Networks Appl. 22 (1) (2017)
Liyun Zuo, Lei Shu, Shoubin Dong, Yuanfang Chen, Li Yan
A Multi-Objective Hybrid Cloud Resource Scheduling Method Based on Deadline and Cost Constraints. IEEE Access 5 (2017)
De-Yu Tang, Shoubin Dong, Lifang He, Yi Jiang
Intrusive tumor growth inspired optimization algorithm for data clustering. Neural Comput. Appl. 27 (2) (2016)
Wanrong Gu, Shoubin Dong, Mingquan Chen
Personalized news recommendation based on articles chain building. Neural Comput. Appl. 27 (5) (2016)
Deyu Tang, Jin Yang, Shoubin Dong, Zhen Liu
A lévy flight-based shuffled frog-leaping algorithm and its applications for continuous optimization problems. Appl. Soft Comput. 49 (2016)
Deyu Tang, Shoubin Dong, Xianfa Cai, Jie Zhao
A two-stage quantum-behaved particle swarm optimization with skipping search rule and weight to solve continuous optimization problem. Neural Comput. Appl. 27 (8) (2016)
Jiabing Fu, Yacong Ma, Bixin Ke, Shoubin Dong
LCTD: A lossless compression tool of FASTQ file based on transformation of original file distribution. BIBM (2016)
Jiabing Fu, Yacong Ma, Shoubin Dong
A lossless FASTQ Quality Scores file compression algorithm based on linear combination prediction. BIBM (2016)
Liyun Zuo, Shoubin Dong, Chunsheng Zhu, Lei Shu, Guangjie Han
A Cloud Resource Evaluation Model Based on Entropy Optimization and Ant Colony Clustering. Comput. J. 58 (6) (2015)
Dingzhu Lu, Shoubin Dong, Ming Tao, Chunru Dong, Bingcheng Qiu
A velocity and neighbor density-based broadcast scheme in mobile ad hoc networks. J. High Speed Networks 21 (3) (2015)
Liyun Zuo, Lei Shu, Shoubin Dong, Chunsheng Zhu, Takahiro Hara
A Multi-Objective Optimization Scheduling Method Based on the Ant Colony Algorithm in Cloud Computing. IEEE Access 3 (2015)
De-Yu Tang, Shoubin Dong, Yi Jiang, Huan Li, Yi-Shuan Huang
ITGO: Invasive tumor growth optimization algorithm. Appl. Soft Comput. 36 (2015)
Changyu Liu, Shoubin Dong, Bin Lu, Mohamed Abdel-Mottaleb
Multimedia event detection with ℓ2-regularized logistic Gaussian mixture regression. Neural Comput. Appl. 26 (7) (2015)
Liyun Zuo, Lei Shu, Shoubin Dong, Zhangbing Zhou, Lei Wang
A dynamic self-adaptive resource-load evaluation method in cloud computing. QSHINE (2015)
Wanrong Gu, Shoubin Dong, Zhizhao Zeng
Increasing recommended effectiveness with markov chains and purchase intervals. Neural Comput. Appl. 25 (5) (2014)
Zhibo Cao, Shoubin Dong
An energy-aware heuristic framework for virtual machine consolidation in Cloud computing. J. Supercomput. 69 (1) (2014)
Zhibo Cao, Shoubin Dong
Energy-Aware Framework for Virtual Machine Consolidation in Cloud Computing. HPCC/EUC (2013)
Zhibo Cao, Shoubin Dong
Dynamic VM Consolidation for Energy-Aware and SLA Violation Reduction in Cloud Computing. PDCAT (2012)
Ming Tao, Huaqiang Yuan, Shoubin Dong, Hewei Yu
Initiative movement prediction assisted adaptive handover trigger scheme in fast MIPv6. Comput. Commun. 35 (10) (2012)
Ming Tao, Shoubin Dong, Liping Zhang
A multi-strategy collaborative prediction model for the runtime of online tasks in computing cluster/grid. Clust. Comput. 14 (2) (2011)
Ming Tao, Shoubin Dong, Kejing He
A New Replication Scheduling Strategy for Grid Workflow Applications. ChinaGrid (2011)
Tiezhu Zhao, Shoubin Dong
A Trust Aware Grid Access Control Architecture Based on ABAC. NAS (2010)
Cheqian Chen, Kequan Lin, Heshan Li, Shoubin Dong
Personalized search based on learning user click history. IEEE ICCI (2010)
Xian-Cheng Xu, Ling Zhang, Shoubin Dong
Design Consideration and Implementation of Portscan Detection Module on NP-Based IDS. ICEE (2010)
Tiezhu Zhao, Verdi March, Shoubin Dong, Simon See
Evaluation of a Performance Model of Lustre File System. ChinaGrid (2010)
Tiezhu Zhao, Shoubin Dong
Trust-GSM: A Trust Aware Security Model for Multi-domain Grid. ChinaGrid (2010)
Kejing He, Yi Jiang, Shoubin Dong
A Hybrid Parallel Framework for the Cellular Potts Model Simulations. ICPADS (2009)
Tiezhu Zhao, Yilong Ding, Verdi March, Shoubin Dong, Simon See
Research on the Performance of xVM Virtual Machine Based on HPCC. ChinaGrid (2009)
Pengfei Liu, Shoubin Dong, Yicheng Cao, Zhengping Du, Zhike Mao
A Complex Virtual Screening Computing Platform Based on SOA. APSCC (2007)
Kejing He, Li Zheng, Shoubin Dong, Liqun Tang, Jianfeng Wu, Chunmiao Zheng
PGO: A parallel computing platform for global optimization based on genetic algorithm. Comput. Geosci. 33 (3) (2007)
Zhengyou Liang, Yu Sun, Ling Zhang, Shoubin Dong
Reverse Auction-Based Grid Resources Allocation. PRIMA (2006)
Kejing He, Shoubin Dong, Li Zheng
Service-oriented grid computation for large-scale parameter estimation in complex environmental modeling. SAC (2006)
Kejing He, Shoubin Dong, Jianfei He, Liqun Tang
GSGCP-FEM: A General Service-Oriented Grid Computing Platform for FEM-Based Simulations. APSCC (2006)
Weidong Fang, Shoubin Dong
Addressing Interest Diversity in P2P Based Collaborative Spam Filtering. GCC Workshops (2006)
Xian-Cheng Xu, Ling Zhang, Shoubin Dong
Applying Software Component Technology to NP-based System for Novel Network Services. APSCC (2006)
Wenguo Wei, Shoubin Dong, Ling Zhang, Jialin Li
A Novel Cluster Parallel File System. DEXA Workshops (2006)
Shoubin Dong, Pengfei Liu, Yicheng Cao, Zhengping Du
Grid Computing Methodology for Protein Structure Prediction and Analysis. ISPA Workshops (2005)
Wenguo Wei, Ling Zhang, Shoubin Dong, Chaotian Chen
Cache Management of Cluster Parallel File System. PDPTA (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shoubin Dong