Developing a new mesh quality evaluation method based on convolutional neural network X Chen, J Liu, Y Pang, J Chen, L Chi, C Gong Engineering Applications of Computational Fluid Mechanics 14 (1), 391-400, 2020 | 49 | 2020 |
An improved data-free surrogate model for solving partial differential equations using deep neural networks X Chen, R Chen, Q Wan, R Xu, J Liu Scientific reports 11 (1), 19507, 2021 | 39 | 2021 |
Transfer learning for deep neural network-based partial differential equations solving X Chen, C Gong, Q Wan, L Deng, Y Wan, Y Liu, B Chen, J Liu Advances in Aerodynamics 3, 1-14, 2021 | 38 | 2021 |
VBSF: a new storage format for SIMD sparse matrix–vector multiplication on modern processors Y Li, P Xie, X Chen, J Liu, B Yang, S Li, C Gong, X Gan, H Xu The Journal of Supercomputing 76, 2063-2081, 2020 | 36 | 2020 |
MGNet: a novel differential mesh generation method based on unsupervised neural networks X Chen, T Li, Q Wan, X He, C Gong, Y Pang, J Liu Engineering with Computers 38 (5), 4409-4421, 2022 | 33 | 2022 |
A region-based hypergraph network for joint entity-relation extraction Q Wan, L Wei, X Chen, J Liu Knowledge-Based Systems 228, 107298, 2021 | 31 | 2021 |
Configurable multi-directional systolic array architecture for convolutional neural networks R Xu, S Ma, Y Wang, X Chen, Y Guo ACM Transactions on Architecture and Code Optimization (TACO) 18 (4), 1-24, 2021 | 31 | 2021 |
An efficient SIMD compression format for sparse matrix‐vector multiplication X Chen, P Xie, L Chi, J Liu, C Gong Concurrency and Computation: Practice and Experience 30 (23), e4800, 2018 | 31 | 2018 |
MVE-Net: An automatic 3-D structured mesh validity evaluation framework using deep neural networks X Chen, J Liu, C Gong, S Li, Y Pang, B Chen Computer-Aided Design 141, 103104, 2021 | 27 | 2021 |
TAMM: A new topology-aware mapping method for parallel applications on the Tianhe-2A supercomputer X Chen, J Liu, S Li, P Xie, L Chi, Q Wang Algorithms and Architectures for Parallel Processing: 18th International …, 2018 | 19 | 2018 |
Predicting gene regulatory links from single-cell RNA-seq data using graph neural networks G Mao, Z Pang, K Zuo, Q Wang, X Pei, X Chen, J Liu Briefings in Bioinformatics 24 (6), bbad414, 2023 | 17 | 2023 |
A novel neural network approach for airfoil mesh quality evaluation X Chen, C Gong, J Liu, Y Pang, L Deng, L Chi, K Li Journal of Parallel and Distributed Computing 164, 123-132, 2022 | 13 | 2022 |
Evaluating mesh quality with graph neural networks Z Wang, X Chen, T Li, C Gong, Y Pang, J Liu Engineering with Computers 38 (5), 4663-4673, 2022 | 9 | 2022 |
OHTMA: an optimized heuristic topology-aware mapping algorithm on the tianhe-3 exascale supercomputer prototype Y Li, X Chen, J Liu, B Yang, C Gong, X Gan, S Li, H Xu Frontiers of Information Technology & Electronic Engineering 21, 939-949, 2020 | 9 | 2020 |
ST-PINN: A Self-Training Physics-Informed Neural Network for Partial Differential Equations J Yan, X Chen, Z Wang, E Zhoui, J Liu 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 8 | 2023 |
An improved structured mesh generation method based on physics-informed neural networks X Chen, J Liu, J Yan, Z Wang, C Gong arXiv preprint arXiv:2210.09546, 2022 | 8 | 2022 |
An airfoil mesh quality criterion using deep neural networks X Chen, J Liu, C Gong, Y Pang, B Chen 2020 12th International Conference on Advanced Computational Intelligence …, 2020 | 8 | 2020 |
PINN-FFHT: A physics-informed neural network for solving fluid flow and heat transfer problems without simulation data Q Zhang, X Guo, X Chen, C Xu, J Liu International Journal of Modern Physics C 33 (12), 2250166, 2022 | 7 | 2022 |
A novel interactive recurrent attention network for emotion-cause pair extraction X Jia, X Chen, Q Wan, J Liu Proceedings of the 2020 3rd International Conference on Algorithms …, 2020 | 7 | 2020 |
Word-level bert-cnn-rnn model for chinese punctuation restoration Z Zhang, J Liu, L Chi, X Chen 2020 IEEE 6th International Conference on Computer and Communications (ICCC …, 2020 | 7 | 2020 |