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ORCIDXinhai Chen
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j16]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): 1111-1126 (2024)- [j15]Xinbiao Gan, Tiejun Li, Feng Xiong, Bo Yang, Xinhai Chen, Chunye Gong, Shijie Li, Kai Lu, Qiao Li, Yiming Zhang:
MST: Topology-Aware Message Aggregation for Exascale Graph Processing of Traversal-Centric Algorithms. ACM Trans. Archit. Code Optim. 21(4): 67:1-67:22 (2024) - [c14]Yidi Bai, Xinhai Chen, Chunye Gong, Jie Liu:
ImPINN: Improved Physics-informed neural networks for solving inverse problems. CyberC 2024: 189-198 - [c13]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: 158-167 - [c12]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: 3064-3075 - [i7]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 abs/2402.16915 (2024) - [i6]Jiaming Peng, Xinhai Chen, Jie Liu:
3DMeshNet: A Three-Dimensional Differential Neural Network for Structured Mesh Generation. CoRR abs/2407.01560 (2024) - [i5]Zhichao Wang, Xinhai Chen, Chunye Gong, Bo Yang, Liang Deng, Yufei Sun, Yufei Pang, Jie Liu:
GNNRL-Smoothing: A Prior-Free Reinforcement Learning Model for Mesh Smoothing. CoRR abs/2410.19834 (2024) - 2023
- [j14]Guo Mao, Zhengbin Pang, Ke Zuo, Qinglin Wang, Xiangdong Pei, Xinhai Chen, Jie Liu:
Predicting gene regulatory links from single-cell RNA-seq data using graph neural networks. Briefings Bioinform. 24(6) (2023) - [j13]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): 109-130 (2023) - [j12]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): 12389-12399 (2023) - [c11]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: 1-8 - [c10]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: 633-642 - [i4]Junjun Yan, Xinhai Chen, Zhichao Wang, Enqiang Zhou, Jie Liu:
ST-PINN: A Self-Training Physics-Informed Neural Network for Partial Differential Equations. CoRR abs/2306.09389 (2023) - [i3]Junjun Yan, Xinhai Chen, Zhichao Wang, Enqiang Zhou, Jie Liu:
Auxiliary-Tasks Learning for Physics-Informed Neural Network-Based Partial Differential Equations Solving. CoRR abs/2307.06167 (2023) - [i2]Zhichao Wang, Xinhai Chen, Junjun Yan, Jie Liu:
Proposing an intelligent mesh smoothing method with graph neural networks. CoRR abs/2311.12815 (2023) - 2022
- [j11]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): 1245 (2022) - [j10]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): 4409-4421 (2022) - [j9]Zhichao Wang, Xinhai Chen, Tieju Li, Chunye Gong, Yufei Pang, Jie Liu:
Evaluating mesh quality with graph neural networks. Eng. Comput. 38(5): 4663-4673 (2022) - [j8]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: 123-132 (2022) - [c9]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: 2974-2979 - [c8]Junjun Yan, Xinhai Chen, Jie Liu:
CSR&RV: An Efficient Value Compression Format for Sparse Matrix-Vector Multiplication. NPC 2022: 54-60 - [c7]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: 28-41 - [i1]Xinhai Chen, Jie Liu, Junjun Yan, Zhichao Wang, Chunye Gong:
An Improved Structured Mesh Generation Method Based on Physics-informed Neural Networks. CoRR abs/2210.09546 (2022) - 2021
- [j7]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: 103104 (2021) - [j6]Qian Wan, Luona Wei, Xinhai Chen, Jie Liu:
A region-based hypergraph network for joint entity-relation extraction. Knowl. Based Syst. 228: 107298 (2021) - [j5]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: 8894106:1-8894106:13 (2021) - [j4]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): 42:1-42:24 (2021) - [c6]Qian Wan, Luona Wei, Xinhai Chen, Jie Liu:
Modeling Full Information with Graph Network for Joint Entity-Relation Extraction. ACAI 2021: 93:1-93:8 - [c5]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: 1-8 - [c4]Pengchun Wu, Bin Song, Xinhai Chen, Bingyi Liu:
A Traffic Light Control System Based on Reinforcement Learning and Adaptive Timing. NCAA 2021: 545-559 - 2020
- [j3]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): 939-949 (2020) - [j2]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): 2063-2081 (2020) - [c3]Xiangyu Jia, Xinhai Chen, Qian Wan, Jie Liu:
A Novel Interactive Recurrent Attention Network for Emotion-Cause Pair Extraction. ACAI 2020: 63:1-63:9 - [c2]Xinhai Chen, Jie Liu, Chunye Gong, Yufei Pang, Bo Chen:
An Airfoil Mesh Quality Criterion using Deep Neural Networks. ICACI 2020: 536-541
2010 – 2019
- 2018
- [j1]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) - [c1]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: 242-256
Coauthor Index
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