Xinhai Chen

According to our database, Xinhai Chen authored at least 34 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Developing an advanced neural network and physics solver coupled framework for accelerating flow field simulations.

Xinhai Chen, Tiejun Li, Yunbo Wan, Yuechao Liang, Chunye Gong, Yufei Pang, Jie Liu

Eng. Comput., April, 2024

GNNRL-Smoothing: A Prior-Free Reinforcement Learning Model for Mesh Smoothing.

Zhichao Wang, Xinhai Chen, Chunye Gong, Bo Yang, Liang Deng, Yufei Sun, Yufei Pang, Jie Liu

CoRR, 2024

3DMeshNet: A Three-Dimensional Differential Neural Network for Structured Mesh Generation.

Jiaming Peng, Xinhai Chen, Jie Liu

CoRR, 2024

More Than Routing: Joint GPS and Route Modeling for Refine Trajectory Representation Learning.

Zhipeng Ma, Zheyan Tu, Xinhai Chen, Yan Zhang, Deguo Xia, Guyue Zhou, Yilun Chen, Yu Zheng, Jiangtao Gong

Proceedings of the ACM on Web Conference 2024, 2024

SuperCSR: A Space-Time-Efficient CSR Representation for Large-scale Graph Applications on Supercomputers.

Xinbiao Gan, Tiejun Li, Qiang Zhang, Bo Yang, Xinhai Chen, Jie Liu

Proceedings of the 53rd International Conference on Parallel Processing, 2024

ImPINN: Improved Physics-informed neural networks for solving inverse problems.

Yidi Bai, Xinhai Chen, Chunye Gong, Jie Liu

Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2024

2023

Predicting gene regulatory links from single-cell RNA-seq data using graph neural networks.

Guo Mao, Zhengbin Pang, Ke Zuo, Qinglin Wang, Xiangdong Pei, Xinhai Chen, Jie Liu

Briefings Bioinform., September, 2023

A novel framework for message dissemination with consideration of destination prediction in VFC.

Bingyi Liu, Ze Wang, Jing Qin, Yi Jiang, Xinhai Chen, Enshu Wang, Shengwu Xiong

Neural Comput. Appl., June, 2023

Long Short-Term Memory-Assisted Mixed Vehicle Platoon Control Strategy Considering Message Recovery Under Nonideal Information Environment.

Hang Zhao, Dihua Sun, Min Zhao, Baohui Li, Changchang He, Xinhai Chen

IEEE Intell. Transp. Syst. Mag., 2023

Proposing an intelligent mesh smoothing method with graph neural networks.

Zhichao Wang, Xinhai Chen, Junjun Yan, Jie Liu

CoRR, 2023

Auxiliary-Tasks Learning for Physics-Informed Neural Network-Based Partial Differential Equations Solving.

Junjun Yan, Xinhai Chen, Zhichao Wang, Enqiang Zhou, Jie Liu

CoRR, 2023

Modelling and Verification of Cooperative Vehicle Infrastructure System at Intersections Based on Timed Automata.

Xinhai Chen, Wei Liu, Chang Rao, Yu Zhang, Wanling Du

Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

ST-PINN: A Self-Training Physics-Informed Neural Network for Partial Differential Equations.

Junjun Yan, Xinhai Chen, Zhichao Wang, Enqiang Zhou, Jie Liu

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

A novel neural network approach for airfoil mesh quality evaluation.

Xinhai Chen, Chunye Gong, Jie Liu, Yufei Pang, Liang Deng, Lihua Chi, Kenli Li

J. Parallel Distributed Comput., 2022

Evaluating mesh quality with graph neural networks.

Zhichao Wang, Xinhai Chen, Tieju Li, Chunye Gong, Yufei Pang, Jie Liu

Eng. Comput., 2022

MGNet: a novel differential mesh generation method based on unsupervised neural networks.

Xinhai Chen, Tiejun Li, Qian Wan, Xiaoyu He, Chunye Gong, Yufei Pang, Jie Liu

Eng. Comput., 2022

A Neural Network-Based Mesh Quality Indicator for Three-Dimensional Cylinder Modelling.

Xinhai Chen, Zhichao Wang, Jie Liu, Chunye Gong, Yufei Pang

Entropy, 2022

An Improved Structured Mesh Generation Method Based on Physics-informed Neural Networks.

Xinhai Chen, Jie Liu, Junjun Yan, Zhichao Wang, Chunye Gong

CoRR, 2022

Improving the Performance of Lattice Boltzmann Method with Pipelined Algorithm on A Heterogeneous Multi-zone Processor.

Qingyang Zhang, Lei Xu, Rongliang Chen, Lin Chen, Xinhai Chen, Qinglin Wang, Jie Liu, Bo Yang

Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2022

CSR&RV: An Efficient Value Compression Format for Sparse Matrix-Vector Multiplication.

Junjun Yan, Xinhai Chen, Jie Liu

Proceedings of the Network and Parallel Computing, 2022

C-V2X Test Data Exchange Progress and Test Interface Definition.

Lingqiu Zeng, Fukun Xie, Lei Ye, Shijie Fang, Qingwen Han, Xinhai Chen, Longxiang Wang

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

Configurable Multi-directional Systolic Array Architecture for Convolutional Neural Networks.

Rui Xu, Sheng Ma, Yaohua Wang, Xinhai Chen, Yang Guo

ACM Trans. Archit. Code Optim., 2021

An MSCN-Based Virtual Computing Cell-Oriented BSM Dissemination Mechanism.

Lei Ye, Yuping Wu, Qingwen Han, Xiaoyuan Zhang, Lingqiu Zeng, Yuqing Chen, Xinhai Chen

Mob. Inf. Syst., 2021

A region-based hypergraph network for joint entity-relation extraction.

Qian Wan, Luona Wei, Xinhai Chen, Jie Liu

Knowl. Based Syst., 2021

MVE-Net: An Automatic 3-D Structured Mesh Validity Evaluation Framework Using Deep Neural Networks.

Xinhai Chen, Jie Liu, Chunye Gong, Shengguo Li, Yufei Pang, Bo Chen

Comput. Aided Des., 2021

A Traffic Light Control System Based on Reinforcement Learning and Adaptive Timing.

Pengchun Wu, Bin Song, Xinhai Chen, Bingyi Liu

Proceedings of the Neural Computing for Advanced Applications, 2021

An efficient image to column algorithm for convolutional neural networks.

Chunye Gong, Xinhai Chen, Shuling Lv, Jie Liu, Bo Yang, Qinglin Wang, Weimin Bao, Yufei Pang, Yang Sun

Proceedings of the International Joint Conference on Neural Networks, 2021

Modeling Full Information with Graph Network for Joint Entity-Relation Extraction.

Qian Wan, Luona Wei, Xinhai Chen, Jie Liu

Proceedings of the ACAI 2021: 4th International Conference on Algorithms, Computing and Artificial Intelligence, Sanya, China, December 22, 2021

2020

VBSF: a new storage format for SIMD sparse matrix-vector multiplication on modern processors.

Yishui Li, Peizhen Xie, Xinhai Chen, Jie Liu, Bo Yang, Shengguo Li, Chunye Gong, Xinbiao Gan, Han Xu

J. Supercomput., 2020

OHTMA: an optimized heuristic topology-aware mapping algorithm on the Tianhe-3 exascale supercomputer prototype.

Yishui Li, Xinhai Chen, Jie Liu, Bo Yang, Chunye Gong, Xinbiao Gan, Shengguo Li, Han Xu

Frontiers Inf. Technol. Electron. Eng., 2020

An Airfoil Mesh Quality Criterion using Deep Neural Networks.

Xinhai Chen, Jie Liu, Chunye Gong, Yufei Pang, Bo Chen

Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

A Novel Interactive Recurrent Attention Network for Emotion-Cause Pair Extraction.

Xiangyu Jia, Xinhai Chen, Qian Wan, Jie Liu

Proceedings of the ACAI 2020: 3rd International Conference on Algorithms, 2020

2018

An efficient SIMD compression format for sparse matrix-vector multiplication.

Xinhai Chen, Peizhen Xie, Lihua Chi, Jie Liu, Chunye Gong

Concurr. Comput. Pract. Exp., 2018

TAMM: A New Topology-Aware Mapping Method for Parallel Applications on the Tianhe-2A Supercomputer.

Xinhai Chen, Jie Liu, Shengguo Li, Peizhen Xie, Lihua Chi, Qinglin Wang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2018