Xinhai Chen

According to our database, Xinhai Chen authored at least 51 papers between 2018 and 2026.

Collaborative distances:

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

2026

Survey of storage systems in high performance computing.

Gen Zhang, Zhenlong Song, Wenzhe Zhang, Xinhai Chen, Shan Huang, Yong Dong

CCF Trans. High Perform. Comput., June, 2026

Prior-Guided Symbolic Regression: Towards Scientific Consistency in Equation Discovery.

Jing Xiao, Xinhai Chen, Jiaming Peng, Qinglin Wang, Menghan Jia, Zhiquan Lai, Guangping Yu, Dongsheng Li, Tiejun Li, Jie Liu

CoRR, February, 2026

ST-FlowNet: A lightweight framework for long-term spatio-temporal flow field prediction.

Qisong Xiao, Xinhai Chen, Haijian Yang, Chunye Gong, Jie Liu

Neural Networks, 2026

MeshONet: A generalizable and efficient operator learning method for structured mesh generation.

Jing Xiao, Xinhai Chen, Jiaming Peng, Qinglin Wang, Jie Liu

Neural Networks, 2026

GNNRL-smoothing: A prior-free reinforcement learning model for mesh optimization.

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

Neural Networks, 2026

PI-MeshONet: A generalizable and self-supervised method for structured mesh generation.

Jing Xiao, Xinhai Chen, Jiaming Peng, Jie Liu

Knowl. Based Syst., 2026

A scalable parallel reservoir simulator on corner-point grids for discontinuous Galerkin modeling of real-field geological reservoirs.

Jiali Tu, Haijian Yang, Xinhai Chen, Shuyu Sun, Tianpei Cheng

J. Comput. Phys., 2026

Physics-informed residual learning with low-rank adaptation for unsupervised mesh generation.

Jiaming Peng, Xinhai Chen, Jing Xiao, Zeyu Zhu, Qingling Wang, Zhiquan Lai, Dongsheng Li, Jie Liu

Comput. Aided Geom. Des., 2026

THAC: Unlocking Performance in Parallel HPC Applications via UQ-Aware Automated Approximation.

Zhenhao Zhao, Qinglin Wang, Bo Yang, Xinhai Chen, Jie Liu, Binglin Wang

Proceedings of the 40th ACM International Conference on Supercomputing, 2026

Block-Aware Adaptive State Management for Optimistic Parallel Discrete Event Simulation.

Xing Peng, Qinglin Wang, Gencheng Liu, Chuhe Hong, Rui Xia, Zhigang Sun, Xinhai Chen, Qingyang Zhang, Jie Liu

Proceedings of the 40th ACM International Conference on Supercomputing, 2026

Learning to Generate Structured Meshes with In-Context: Toward Generalization in Mesh Generation.

Jing Xiao, Xinhai Chen, Jiaming Peng, Jie Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Measuring the Unspoken: A Disentanglement Model and Benchmark for Psychological Analysis in the Wild.

Yigui Feng, Qinglin Wang, Haotian Mo, Yang Liu, Ke Liu, Gencheng Liu, Xinhai Chen, Siqi Shen, Songzhu Mei, Jie Liu

CoRR, December, 2025

HADF: a hash-adaptive dual fusion implicit network for super-resolution of turbulent flows.

Yunfei Liu, Xinhai Chen, Gen Zhang, Qingyang Zhang, Qinglin Wang, Jie Liu

Frontiers Inf. Technol. Electron. Eng., November, 2025

An intelligent mesh-smoothing method with graph neural networks.

Zhichao Wang, Xinhai Chen, Junjun Yan, Jie Liu

Frontiers Inf. Technol. Electron. Eng., March, 2025

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation.

Jing Xiao, Xinhai Chen, Qingling Wang, Jie Liu

CoRR, January, 2025

Towards Megacity-Scale Wind Flow Simulations on Many-Core CPU-Accelerator Systems.

Lei Xu, Qingyang Zhang, Kai Lu, Zhengzheng Yan, Chunye Gong, Shengguo Li, Lin Chen, Xinhai Chen, Xuchuan Lin, Jie Liu, Zheng Wang, Rongliang Chen

SIAM J. Sci. Comput., 2025

FE-PIRBN: Feature-enhanced physics-informed radial basis neural networks for solving high-frequency electromagnetic scattering problems.

Huajian Zhang, Chao Li, Rui Xia, Xinhai Chen, Tiaojie Xiao, Xiaowei Guo, Jie Liu

J. Comput. Phys., 2025

3DMeshNet: A three-dimensional differential neural network for structured mesh generation.

Jiaming Peng, Xinhai Chen, Jie Liu

Graph. Model., 2025

An Efficient Adaptive Dual-Threshold Svm Based on Heterogeneous Collaboration.

Xing Peng, Qinglin Wang, Chuhe Hong, Gencheng Liu, Rui Xia, Xinhai Chen, Zhigang Sun, Jie Liu

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2025

Dual-Spectral Neural Operator for Solving Partial Differential Equations.

Jing Xiao, Xinhai Chen, Rui Xia, Jie Liu

Proceedings of the International Joint Conference on Neural Networks, 2025

Informative Discrimination Network for Efficient Single Image Super-Resolution.

Yuzheng Tu, Xinhai Chen, Chunye Gong, Jie Liu, Bo Yang, Xiang Gao, Xiang Zhang

Proceedings of the International Joint Conference on Neural Networks, 2025

IA-Chol: Input-Aware Cholesky Decomposition on CPU and GPU.

Jixiao Deng, Qinglin Wang, Lin Chen, Tun Li, Bo Yang, Xinhai Chen, Jie Liu

Proceedings of the 39th ACM International Conference on Supercomputing, 2025

VES: Vectorized Sparse General Matrix-Matrix Multiplication on Multi-Core DSPs.

Chuhe Hong, Qinglin Wang, Xing Peng, Gencheng Liu, Qingyang Zhang, Xinhai Chen, Jie Liu

Proceedings of the 54th International Conference on Parallel Processing, 2025

2024

MST: Topology-Aware Message Aggregation for Exascale Graph Processing of Traversal-Centric Algorithms.

Xinbiao Gan, Tiejun Li, Feng Xiong, Bo Yang, Xinhai Chen, Chunye Gong, Shijie Li, Kai Lu, Qiao Li, Yiming Zhang

ACM Trans. Archit. Code Optim., December, 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

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

PAR-DeepONet: A Novel Physics Informed Operator Learning Method Based On Physical Adaptive Refinement.

Yu Zhou, Xinhai Chen, Jie Liu

Proceedings of the 2024 8th International Conference on Computer Science and Artificial Intelligence, 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

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

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

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

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

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