| Contention-aware prediction for performance impact of task co-running in multicore computers S Ren, L He, J Li, Z Chen, P Jiang, CT Li Wireless Networks, 1-8, 2019 | 10 | 2019 |
| Developing a Loss Prediction-based Asynchronous Stochastic Gradient Descent Algorithm for Distributed Training of Deep Neural Networks J Li, L He, S Ren, R Mao 49th International Conference on Parallel Processing-ICPP, 1-10, 2020 | 5 | 2020 |
| Developing the Parallelization Methods for Finding the All-Pairs Shortest Paths in Distributed Memory Architecture M Alghamdi, L He, Y Zhou, J Li 2019 IEEE 38th International Performance Computing and Communications …, 2019 | 3 | 2019 |
| Data Fine-Pruning: A Simple Way to Accelerate Neural Network Training J Li, L He, S Ren, R Mao IFIP International Conference on Network and Parallel Computing, 114-125, 2018 | 3 | 2018 |
| Scheduling DAG Applications for Time Sharing Systems S Ren, L He, J Li, C Chen, Z Gu, Z Chen International Conference on Algorithms and Architectures for Parallel …, 2018 | 2 | 2018 |
| vGrouper: Optimizing the Performance of Parallel Jobs in Xen by Increasing Synchronous Execution of Virtual Machines P Jiang, L He, S Ren, J Li, Y Cui IFIP International Conference on Network and Parallel Computing, 148-152, 2018 | | 2018 |
