| Applying simulated annealing and parallel computing to the mobile sequential recommendation Z Ye, K Xiao, Y Ge, Y Deng IEEE Transactions on Knowledge and Data Engineering 31 (2), 243-256, 2018 | 44 | 2018 |
| Multi-user mobile sequential recommendation: An efficient parallel computing paradigm Z Ye, L Zhang, K Xiao, W Zhou, Y Ge, Y Deng Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 28 | 2018 |
| Multi-user mobile sequential recommendation for route optimization K Xiao, Z Ye, L Zhang, W Zhou, Y Ge, Y Deng ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (5), 1-28, 2020 | 21 | 2020 |
| A parallel simulated annealing enhancement of the optimal-matching heuristic for ridesharing L Zhang, Z Ye, K Xiao, B Jin 2019 IEEE international conference on data mining (ICDM), 906-915, 2019 | 21 | 2019 |
| Intelligent career planning via stochastic subsampling reinforcement learning P Guo, K Xiao, Z Ye, H Zhu, W Zhu Scientific reports 12 (1), 8332, 2022 | 18 | 2022 |
| Route optimization via environment-aware deep network and reinforcement learning P Guo, K Xiao, Z Ye, W Zhu ACM Transactions on Intelligent Systems and Technology (TIST) 12 (6), 1-21, 2021 | 18 | 2021 |
| A unified theory of the mobile sequential recommendation problem Z Ye, K Xiao, Y Deng 2018 IEEE International Conference on Data Mining (ICDM), 1380-1385, 2018 | 15 | 2018 |
| Weighted aggregating stochastic gradient descent for parallel deep learning P Guo, Z Ye, K Xiao, W Zhu IEEE Transactions on Knowledge and Data Engineering 34 (10), 5037-5050, 2020 | 12 | 2020 |
| Investigation of simulated annealing cooling schedule for mobile recommendations Z Ye, K Xiao, Y Deng 2015 IEEE International Conference on Data Mining Workshop (ICDMW), 1078-1084, 2015 | 11 | 2015 |
| A weighted aggregating sgd for scalable parallelization in deep learning P Guo, Z Ye, K Xiao 2019 IEEE International Conference on Data Mining (ICDM), 1072-1077, 2019 | 5 | 2019 |
| Parallel MCMC methods for global optimization L Zhang, Z Ye, Y Deng Monte Carlo Methods and Applications, 2019 | 3 | 2019 |
| Route Recommendations by Parallel Simulated Annealing Z Ye State University of New York at Stony Brook, 2020 | | 2020 |
| A Multi-User Mobile Sequential Recommendation Model for Human Mobility K Xiao, Z Ye, L Zhang, W Zhou, Y Ge, Y Deng ACM Transactions on Knowledge Discovery from Data, 2019 | | 2019 |
| Supercomputing for the Multi-Driver Routing Z Ye, Y Deng CDR 10, 10.4, 0 | | |
Keli XiaoStony Brook UniversityDirección de correo verificada de stonybrook.edu
