| A multi-objective optimization scheduling method based on the ant colony algorithm in cloud computing L Zuo, L Shu, S Dong, C Zhu, T Hara Ieee Access 3, 2687-2699, 2015 | 375 | 2015 |
| High accuracy digital image correlation powered by GPU-based parallel computing L Zhang, T Wang, Z Jiang, Q Kemao, Y Liu, Z Liu, L Tang, S Dong Optics and Lasers in Engineering 69, 7-12, 2015 | 112 | 2015 |
| HAGERec: Hierarchical attention graph convolutional network incorporating knowledge graph for explainable recommendation Z Yang, S Dong Knowledge-Based Systems 204, 106194, 2020 | 111 | 2020 |
| An energy-aware heuristic framework for virtual machine consolidation in cloud computing Z Cao, S Dong The Journal of Supercomputing 69, 429-451, 2014 | 107 | 2014 |
| Toward a semantic search engine based on ontologies WD Fang, L Zhang, YX Wang, SB Dong 2005 International Conference on Machine Learning and Cybernetics 3, 1913-1918, 2005 | 92 | 2005 |
| Dynamic VM consolidation for energy-aware and SLA violation reduction in cloud computing Z Cao, S Dong 2012 13th International Conference on Parallel and Distributed Computing …, 2012 | 82 | 2012 |
| ITGO: Invasive tumor growth optimization algorithm DTSDYJHLY Huang Applied Soft Computing 36, 670-698, 2015 | 78 | 2015 |
| 模板化网页主题信息的提取方法 欧健文， 董守斌， 蔡斌 清华大学学报: 自然科学版, 1743-1747, 2005 | 76 | 2005 |
| SIFT-aided path-independent digital image correlation accelerated by parallel computing J Yang, J Huang, Z Jiang, S Dong, L Tang, Y Liu, Z Liu, L Zhou Optics and Lasers in Engineering 127, 105964, 2020 | 67 | 2020 |
| A multi-objective hybrid cloud resource scheduling method based on deadline and cost constraints L Zuo, L Shu, S Dong, Y Chen, L Yan IEEE access 5, 22067-22080, 2016 | 66 | 2016 |
| A multiqueue interlacing peak scheduling method based on tasks’ classification in cloud computing L Zuo, S Dong, L Shu, C Zhu, G Han IEEE Systems Journal 12 (2), 1518-1530, 2016 | 59 | 2016 |
| A lévy flight-based shuffled frog-leaping algorithm and its applications for continuous optimization problems D Tang, J Yang, S Dong, Z Liu Applied Soft Computing 49, 641-662, 2016 | 55 | 2016 |
| Multigrid contact detection method K He, S Dong, Z Zhou Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 75 (3 …, 2007 | 51 | 2007 |
| A deep learning model incorporating part of speech and self-matching attention for named entity recognition of Chinese electronic medical records X Cai, S Dong, J Hu BMC medical informatics and decision making 19, 101-109, 2019 | 50 | 2019 |
| Evaluation of a performance model of lustre file system T Zhao, V March, S Dong, S See 2010 Fifth Annual ChinaGrid Conference, 191-196, 2010 | 49 | 2010 |
| Increasing recommended effectiveness with markov chains and purchase intervals W Gu, S Dong, Z Zeng Neural Computing and Applications, 1-10, 2014 | 46 | 2014 |
| A multichannel 2D convolutional neural network model for task‐evoked fMRI data classification J Hu, Y Kuang, B Liao, L Cao, S Dong, P Li Computational intelligence and neuroscience 2019 (1), 5065214, 2019 | 44 | 2019 |
| Drug-drug interaction relation extraction with deep convolutional neural networks IN Dewi, S Dong, J Hu 2017 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2017 | 38 | 2017 |
| PGO: A parallel computing platform for global optimization based on genetic algorithm K He, L Zheng, S Dong, L Tang, J Wu, C Zheng Computers & Geosciences 33 (3), 357-366, 2007 | 38 | 2007 |
| A multi-strategy collaborative prediction model for the runtime of online tasks in computing cluster/grid M Tao, S Dong, L Zhang Cluster Computing 14, 199-210, 2011 | 35 | 2011 |
liqun tangSouth China University of TechnologyEmail verificata su scut.edu.cn