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Publication search results
found 112 matches
- 2024
- Yuan Zhou, Zhiyu Yang, Xiaofeng Bai, Chengwei Li, Shoubin Wang, Guili Peng, Guodong Li, Qinghua Wang, Huailei Chang:
Semantic Segmentation of Surface Cracks in Urban Comprehensive Pipe Galleries Based on Global Attention. Sensors 24(3): 1005 (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: 102870 (2024) - 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: 80-90 (2023) - Jiajie Tan, Jinlong Hu, Shoubin Dong:
Incorporating entity-level knowledge in pretrained language model for biomedical dense retrieval. Comput. Biol. Medicine 166: 107535 (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): 31 (2023) - Zongbao Yang, Yinxin Xu, Jinlong Hu, Shoubin Dong:
Generating knowledge aware explanation for natural language inference. Inf. Process. Manag. 60(2): 103245 (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: 111082 (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): 17747-17761 (2023) - Zongbao Yang, Shoubin Dong, Jinlong Hu:
Explainable Natural Language Inference via Identifying Important Rationales. IEEE Trans. Artif. Intell. 4(3): 438-449 (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): 74-93 (2023) - Yichen He, Xiaofeng Liu, Jinlong Hu, Shoubin Dong:
Entity Relation Aware Graph Neural Ranking for Biomedical Information Retrieval. BIBM 2023: 1118-1124 - Jinlong Hu, Yangmin Huang, Shoubin Dong:
Transformer and Snowball Graph Convolution Learning for Brain Functional Network Analysis. BIBM 2023: 2809-2816 - Jinlong Hu, Yangmin Huang, Yi Zhuo, Shoubin Dong:
BrainPST: Pre-training Stacked Transformers for Dynamic Brain Functional Network Analysis. BIBM 2023: 3020-3028 - Hua Yuan, Jian Luo, Shoubin Dong:
RC R-CNN for Bone Marrow Cell Recognition. ICTAI 2023: 836-840 - Jinlong Hu, Yangmin Huang, Shoubin Dong:
Transformer and Snowball Graph Convolution Learning for Biomedical Graph Classification. CoRR abs/2303.16132 (2023) - Jinlong Hu, Yangmin Huang, Nan Wang, Shoubin Dong:
BrainNPT: Pre-training of Transformer networks for brain network classification. CoRR abs/2305.01666 (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 abs/2307.09751 (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 abs/2309.01593 (2023) - 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: 102260 (2022) - Jiaqin Lin, Anghong Xiao, Shoubin Dong, Jing Zhou:
Spark-ITGO: a parallel invasive tumor growth optimization algorithm on spark. Clust. Comput. 25(4): 2633-2660 (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: 104135 (2022) - Zuoxi Yang, Shoubin Dong:
HSRec: Hierarchical self-attention incorporating knowledge graph for sequential recommendation. J. Intell. Fuzzy Syst. 42(4): 3749-3760 (2022) - Yuxin Chen, Hua Yuan, Shoubin Dong, Jinbo Peng:
Vehicle Damage Detection based on MD R-CNN. ICTAI 2022: 774-779 - 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 abs/2201.10353 (2022) - 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): 379 (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): 151601 (2021) - Xiaofeng Liu, Kaiwen Tan, Shoubin Dong:
Multi-granularity sequential neural network for document-level biomedical relation extraction. Inf. Process. Manag. 58(6): 102718 (2021) - Zuoxi Yang, Shoubin Dong, Jinlong Hu:
GFE: General Knowledge Enhanced Framework for Explainable Sequential Recommendation. Knowl. Based Syst. 230: 107375 (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: 102824 (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): 3219-3229 (2021)
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