| A distributed spatial–temporal weighted model on MapReduce for short-term traffic flow forecasting D Xia, B Wang, H Li, Y Li, Z Zhang Neurocomputing 179, 246-263, 2016 | 207 | 2016 |
| Protein–protein interactions prediction based on ensemble deep neural networks L Zhang, G Yu, D Xia, J Wang Neurocomputing 324, 10-19, 2019 | 138 | 2019 |
| A map reduce-based nearest neighbor approach for big-data-driven traffic flow prediction D Xia, H Li, B Wang, Y Li, Z Zhang IEEE access 4, 2920-2934, 2016 | 73 | 2016 |
| A distributed WND-LSTM model on MapReduce for short-term traffic flow prediction D Xia, M Zhang, X Yan, Y Bai, Y Zheng, Y Li, H Li Neural Computing and Applications 33, 2393-2410, 2021 | 63 | 2021 |
| Geometrical convergence rate for distributed optimization with time-varying directed graphs and uncoordinated step-sizes Q Lü, H Li, D Xia Information Sciences 422, 516-530, 2018 | 55 | 2018 |
| Distributed optimization of first-order discrete-time multi-agent systems with event-triggered communication Q Lü, H Li, D Xia Neurocomputing 235, 255-263, 2017 | 53 | 2017 |
| Consensus analysis of multiagent systems with second-order nonlinear dynamics and general directed topology: An event-triggered scheme H Li, G Chen, Z Dong, D Xia Information Sciences 370, 598-622, 2016 | 52 | 2016 |
| Chaotic hash function based on the dynamic S-Box with variable parameters Y Li, G Ge, D Xia Nonlinear Dynamics 84 (4), 2387-2402, 2016 | 48 | 2016 |
| An efficient MapReduce‐based parallel clustering algorithm for distributed traffic subarea division D Xia, B Wang, Y Li, Z Rong, Z Zhang Discrete Dynamics in Nature and Society 2015 (1), 793010, 2015 | 34 | 2015 |
| Discovering spatiotemporal characteristics of passenger travel with mobile trajectory big data D Xia, S Jiang, N Yang, Y Hu, Y Li, H Li, L Wang Physica A: Statistical Mechanics and Its Applications 578, 126056, 2021 | 31 | 2021 |
| A MapReduce‐Based Parallel Frequent Pattern Growth Algorithm for Spatiotemporal Association Analysis of Mobile Trajectory Big Data D Xia, X Lu, H Li, W Wang, Y Li, Z Zhang Complexity 2018 (1), 2818251, 2018 | 29 | 2018 |
| Complex statistical analysis of big data: implementation and application of apriori and FP-growth algorithm based on MapReduce Z Rong, D Xia, Z Zhang 2013 IEEE 4th international conference on software engineering and service …, 2013 | 28 | 2013 |
| Noise-resistant statistical traffic classification B Wang, J Zhang, Z Zhang, L Pan, Y Xiang, D Xia IEEE Transactions on Big Data 5 (4), 454-466, 2017 | 27 | 2017 |
| IPFP: an improved parallel FP-growth algorithm for frequent itemsets mining D Xia, Y Zhou, Z Rong, Z Zhang Proc. 59th ISI World Statistics Congress, Hong Kong (Session CPS026), 4034-4039, 2013 | 25 | 2013 |
| A distributed stochastic gradient algorithm for economic dispatch over directed network with communication delays H Zhang, H Li, Y Zhu, Z Wang, D Xia International Journal of Electrical Power & Energy Systems 110, 759-771, 2019 | 21 | 2019 |
| A parallel grid-search-based SVM optimization algorithm on Spark for passenger hotspot prediction D Xia, Y Zheng, Y Bai, X Yan, Y Hu, Y Li, H Li Multimedia Tools and Applications 81 (19), 27523-27549, 2022 | 19 | 2022 |
| SW-BiLSTM: a Spark-based weighted BiLSTM model for traffic flow forecasting D Xia, N Yang, S Jian, Y Hu, H Li Multimedia Tools and Applications 81 (17), 23589-23614, 2022 | 19 | 2022 |
| A parallel NAW-DBLSTM algorithm on Spark for traffic flow forecasting D Xia, N Yang, S Jiang, Y Hu, Y Li, H Li, L Wang Neural Computing and Applications, 1-19, 2022 | 18 | 2022 |
| Primal-dual stochastic distributed algorithm for constrained convex optimization Y Niu, H Wang, Z Wang, D Xia, H Li Journal of the Franklin Institute 356 (16), 9763-9787, 2019 | 18 | 2019 |
| Achieving linear convergence for distributed optimization with zeno-like-free event-triggered communication scheme H Li, S Liu, YC Soh, L Xie, D Xia 2017 29th Chinese Control And Decision Conference (CCDC), 6224-6229, 2017 | 16 | 2017 |
Huaqing LiCollege of Electronic and Information Engineering, Southwest University; The University of Sydney在 swu.edu.cn 的电子邮件经过验证
