| FlowGAN: A conditional generative adversarial network for flow prediction in various conditions D Chen, X Gao, C Xu, S Chen, J Fang, Z Wang, Z Wang 2020 IEEE 32nd international conference on tools with artificial …, 2020 | 43 | 2020 |
| Adaptive optimization of sparse matrix-vector multiplication on emerging many-core architectures S Chen, J Fang, D Chen, C Xu, Z Wang 2018 IEEE 20th International Conference on High Performance Computing and …, 2018 | 34 | 2018 |
| FlowDNN: a physics-informed deep neural network for fast and accurate flow prediction D Chen, X Gao, C Xu, S Wang, S Chen, J Fang, Z Wang Frontiers of Information Technology & Electronic Engineering 23 (2), 207-219, 2022 | 31 | 2022 |
| Optimizing sparse matrix–vector multiplications on an armv8-based many-core architecture D Chen, J Fang, S Chen, C Xu, Z Wang International Journal of Parallel Programming 47, 418-432, 2019 | 27 | 2019 |
| Characterizing Scalability of Sparse Matrix–Vector Multiplications on Phytium FT-2000+ D Chen, J Fang, C Xu, S Chen, Z Wang International Journal of Parallel Programming 48, 80-97, 2020 | 17 | 2020 |
| Optimizing sparse matrix-vector multiplication on emerging many-core architectures S Chen, J Fang, D Chen, C Xu, Z Wang arXiv preprint arXiv:1805.11938, 2018 | 14 | 2018 |
| FlowDNN: 一种用于快速精确流场预测的物理启发深度神经网络 D CHEN, X GAO, C XU, S WANG, S CHEN, J FANG, Z WANG Frontiers 23 (2), 207-219, 2022 | | 2022 |
xu chuanfuNational University of Defense TechnologyVerified email at nudt.edu.cn
