Multiple sclerosis identification by convolutional neural network with dropout and parametric ReLU YD Zhang, C Pan, J Sun, C Tang Journal of computational science 28, 1-10, 2018 | 207 | 2018 |
Federated learning-based computation offloading optimization in edge computing-supported internet of things Y Han, D Li, H Qi, J Ren, X Wang Proceedings of the ACM Turing Celebration Conference-China, 1-5, 2019 | 186 | 2019 |
Multiple sclerosis identification by 14-layer convolutional neural network with batch normalization, dropout, and stochastic pooling SH Wang, C Tang, J Sun, J Yang, C Huang, P Phillips, YD Zhang Frontiers in neuroscience 12, 818, 2018 | 158 | 2018 |
Alcoholism identification based on an AlexNet transfer learning model SH Wang, S Xie, X Chen, DS Guttery, C Tang, J Sun, YD Zhang Frontiers in psychiatry 10, 205, 2019 | 142 | 2019 |
High performance multiple sclerosis classification by data augmentation and AlexNet transfer learning model YD Zhang, VV Govindaraj, C Tang, W Zhu, J Sun Journal of Medical Imaging and Health Informatics 9 (9), 2012-2021, 2019 | 102 | 2019 |
Twelve-layer deep convolutional neural network with stochastic pooling for tea category classification on GPU platform YD Zhang, K Muhammad, C Tang Multimedia Tools and Applications 77, 22821-22839, 2018 | 97 | 2018 |
Cerebral micro-bleeding detection based on densely connected neural network S Wang, C Tang, J Sun, Y Zhang Frontiers in neuroscience 13, 422, 2019 | 89 | 2019 |
Diagnosis of COVID-19 by wavelet Renyi entropy and three-segment biogeography-based optimization SH Wang, X Wu, YD Zhang, C Tang, X Zhang International Journal of Computational Intelligence Systems 13 (1), 1332-1344, 2020 | 68 | 2020 |
Cooperative and Competitive Dynamics Model for Information Propagation in Online Social Networks Y Zhang, C Tang, L Weigang Journal of Applied Mathematics 2014, 610382, 2014 | 22 | 2014 |
Collaborative edge computing and caching with deep reinforcement learning decision agents J Ren, H Wang, T Hou, S Zheng, C Tang IEEE Access 8, 120604-120612, 2020 | 21 | 2020 |
京津冀区域经济一体化的困境与选择——与 “长三角” 对比研究 张亚明, 张心怡, 唐朝生 北京行政学院学报, 70-76, 2012 | 19 | 2012 |
Hearing loss identification via wavelet entropy and combination of Tabu search and particle swarm optimization C Tang, E Lee 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), 1-5, 2018 | 18 | 2018 |
MFBCNNC: Momentum factor biogeography convolutional neural network for COVID-19 detection via chest X-ray images J Sun, X Li, C Tang, SH Wang, YD Zhang Knowledge-Based Systems 232, 107494, 2021 | 14 | 2021 |
Face recognition based on local gradient number pattern and fuzzy convex-concave partition J Sun, Y Lv, C Tang, H Sima, X Wu IEEE Access 8, 35777-35791, 2020 | 10 | 2020 |
微博机制和转发预测研究 张亚明, 唐朝生, 李伟钢 情报学报 32 (8), 868-876, 2013 | 10 | 2013 |
竞合视域下京津冀区域地缘经济关系测度分析 张亚明, 李新华, 唐朝生 城市发展研究 19 (5), 22-27, 2012 | 9 | 2012 |
在线社交网络谣言传播兴趣衰减与社会强化机制研究 张亚明, 唐朝生, 李伟钢 情报学报 34 (8), 833-844, 2015 | 8 | 2015 |
Facial emotion recognition via stationary wavelet entropy and Biogeography-based optimization X Li, C Tang, J Sun EAI Endorsed Transactions on e-Learning 6 (19), e4-e4, 2020 | 7 | 2020 |
Information propagation model based on the dynamics of complex networks in mircoblogging Y Zhang, C Tang Journal of Computational Information Systems 10 (1), 443-451, 2014 | 7 | 2014 |
环首都经济圈亚核心与发展路径选择 张亚明, 孙瑞佳, 唐朝生 中国科技论坛, 106-111, 2012 | 7 | 2012 |