Xinhai Chen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 33

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Top Venues

Publications

Xinhai Chen, Tiejun Li, Yunbo Wan, Yuechao Liang, Chunye Gong, Yufei Pang, Jie Liu
Developing an advanced neural network and physics solver coupled framework for accelerating flow field simulations. Eng. Comput. 40 (2) (2024)
Zhipeng Ma, Zheyan Tu, Xinhai Chen, Yan Zhang, Deguo Xia, Guyue Zhou, Yilun Chen, Yu Zheng, Jiangtao Gong
More Than Routing: Joint GPS and Route Modeling for Refine Trajectory Representation Learning. WWW (2024)
Jiaming Peng, Xinhai Chen, Jie Liu
3DMeshNet: A Three-Dimensional Differential Neural Network for Structured Mesh Generation. CoRR (2024)
Xinbiao Gan, Tiejun Li, Qiang Zhang, Bo Yang, Xinhai Chen, Jie Liu
SuperCSR: A Space-Time-Efficient CSR Representation for Large-scale Graph Applications on Supercomputers. ICPP (2024)
Zhipeng Ma, Zheyan Tu, Xinhai Chen, Yan Zhang, Deguo Xia, Guyue Zhou, Yilun Chen, Yu Zheng, Jiangtao Gong
More Than Routing: Joint GPS and Route Modeling for Refine Trajectory Representation Learning. CoRR (2024)
Xinhai Chen, Wei Liu, Chang Rao, Yu Zhang, Wanling Du
Modelling and Verification of Cooperative Vehicle Infrastructure System at Intersections Based on Timed Automata. QRS Companion (2023)
Hang Zhao, Dihua Sun, Min Zhao, Baohui Li, Changchang He, Xinhai Chen
Long Short-Term Memory-Assisted Mixed Vehicle Platoon Control Strategy Considering Message Recovery Under Nonideal Information Environment. IEEE Intell. Transp. Syst. Mag. 15 (6) (2023)
Bingyi Liu, Ze Wang, Jing Qin, Yi Jiang, Xinhai Chen, Enshu Wang, Shengwu Xiong
A novel framework for message dissemination with consideration of destination prediction in VFC. Neural Comput. Appl. 35 (17) (2023)
Junjun Yan, Xinhai Chen, Zhichao Wang, Enqiang Zhou, Jie Liu
Auxiliary-Tasks Learning for Physics-Informed Neural Network-Based Partial Differential Equations Solving. CoRR (2023)
Zhichao Wang, Xinhai Chen, Junjun Yan, Jie Liu
Proposing an intelligent mesh smoothing method with graph neural networks. CoRR (2023)
Junjun Yan, Xinhai Chen, Zhichao Wang, Enqiang Zhou, Jie Liu
ST-PINN: A Self-Training Physics-Informed Neural Network for Partial Differential Equations. IJCNN (2023)
Junjun Yan, Xinhai Chen, Zhichao Wang, Enqiang Zhoui, Jie Liu
ST-PINN: A Self-Training Physics-Informed Neural Network for Partial Differential Equations. CoRR (2023)
Xinhai Chen, Zhichao Wang, Jie Liu, Chunye Gong, Yufei Pang
A Neural Network-Based Mesh Quality Indicator for Three-Dimensional Cylinder Modelling. Entropy 24 (9) (2022)
Xinhai Chen, Chunye Gong, Jie Liu, Yufei Pang, Liang Deng, Lihua Chi, Kenli Li
A novel neural network approach for airfoil mesh quality evaluation. J. Parallel Distributed Comput. 164 (2022)
Xinhai Chen, Tiejun Li, Qian Wan, Xiaoyu He, Chunye Gong, Yufei Pang, Jie Liu
MGNet: a novel differential mesh generation method based on unsupervised neural networks. Eng. Comput. 38 (5) (2022)
Junjun Yan, Xinhai Chen, Jie Liu
CSR&RV: An Efficient Value Compression Format for Sparse Matrix-Vector Multiplication. NPC (2022)
Zhichao Wang, Xinhai Chen, Tieju Li, Chunye Gong, Yufei Pang, Jie Liu
Evaluating mesh quality with graph neural networks. Eng. Comput. 38 (5) (2022)
Xinhai Chen, Jie Liu, Junjun Yan, Zhichao Wang, Chunye Gong
An Improved Structured Mesh Generation Method Based on Physics-informed Neural Networks. CoRR (2022)
Qingyang Zhang, Lei Xu, Rongliang Chen, Lin Chen, Xinhai Chen, Qinglin Wang, Jie Liu, Bo Yang
Improving the Performance of Lattice Boltzmann Method with Pipelined Algorithm on A Heterogeneous Multi-zone Processor. PDCAT (2022)
Lingqiu Zeng, Fukun Xie, Lei Ye, Shijie Fang, Qingwen Han, Xinhai Chen, Longxiang Wang
C-V2X Test Data Exchange Progress and Test Interface Definition. ITSC (2022)
Qian Wan, Luona Wei, Xinhai Chen, Jie Liu
Modeling Full Information with Graph Network for Joint Entity-Relation Extraction. ACAI (2021)
Chunye Gong, Xinhai Chen, Shuling Lv, Jie Liu, Bo Yang, Qinglin Wang, Weimin Bao, Yufei Pang, Yang Sun
An efficient image to column algorithm for convolutional neural networks. IJCNN (2021)
Rui Xu, Sheng Ma, Yaohua Wang, Xinhai Chen, Yang Guo
Configurable Multi-directional Systolic Array Architecture for Convolutional Neural Networks. ACM Trans. Archit. Code Optim. 18 (4) (2021)
Qian Wan, Luona Wei, Xinhai Chen, Jie Liu
A region-based hypergraph network for joint entity-relation extraction. Knowl. Based Syst. 228 (2021)
Pengchun Wu, Bin Song, Xinhai Chen, Bingyi Liu
A Traffic Light Control System Based on Reinforcement Learning and Adaptive Timing. NCAA (2021)
Lei Ye, Yuping Wu, Qingwen Han, Xiaoyuan Zhang, Lingqiu Zeng, Yuqing Chen, Xinhai Chen
An MSCN-Based Virtual Computing Cell-Oriented BSM Dissemination Mechanism. Mob. Inf. Syst. 2021 (2021)
Xinhai Chen, Jie Liu, Chunye Gong, Shengguo Li, Yufei Pang, Bo Chen
MVE-Net: An Automatic 3-D Structured Mesh Validity Evaluation Framework Using Deep Neural Networks. Comput. Aided Des. 141 (2021)
Yishui Li, Xinhai Chen, Jie Liu, Bo Yang, Chunye Gong, Xinbiao Gan, Shengguo Li, Han Xu
OHTMA: an optimized heuristic topology-aware mapping algorithm on the Tianhe-3 exascale supercomputer prototype. Frontiers Inf. Technol. Electron. Eng. 21 (6) (2020)
Xinhai Chen, Jie Liu, Chunye Gong, Yufei Pang, Bo Chen
An Airfoil Mesh Quality Criterion using Deep Neural Networks. ICACI (2020)
Xiangyu Jia, Xinhai Chen, Qian Wan, Jie Liu
A Novel Interactive Recurrent Attention Network for Emotion-Cause Pair Extraction. ACAI (2020)
Yishui Li, Peizhen Xie, Xinhai Chen, Jie Liu, Bo Yang, Shengguo Li, Chunye Gong, Xinbiao Gan, Han Xu
VBSF: a new storage format for SIMD sparse matrix-vector multiplication on modern processors. J. Supercomput. 76 (3) (2020)
Xinhai Chen, Jie Liu, Shengguo Li, Peizhen Xie, Lihua Chi, Qinglin Wang
TAMM: A New Topology-Aware Mapping Method for Parallel Applications on the Tianhe-2A Supercomputer. ICA3PP (1) (2018)
Xinhai Chen, Peizhen Xie, Lihua Chi, Jie Liu, Chunye Gong
An efficient SIMD compression format for sparse matrix-vector multiplication. Concurr. Comput. Pract. Exp. 30 (23) (2018)