Xinhai Chen - RankMe

45 papers A* 1A 2B 6C 2Journal 28Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GNNRL-smoothing: A prior-free reinforcement learning model for mesh optimization. Neural Networks Zhichao Wang, Xinhai Chen, Chunye Gong, Bo Yang, Liang Deng, Yufei Sun, Yufei Pang, Xiang Zhang, Jie Liu
2026	A*	`conf`	Learning to Generate Structured Meshes with In-Context: Toward Generalization in Mesh Generation. AAAI Jing Xiao, Xinhai Chen, Jiaming Peng, Jie Liu
2026	J	`jnl`	MeshONet: A generalizable and efficient operator learning method for structured mesh generation. Neural Networks Jing Xiao, Xinhai Chen, Jiaming Peng, Qinglin Wang, Jie Liu
2026	J	`jnl`	PI-MeshONet: A generalizable and self-supervised method for structured mesh generation. Knowl. Based Syst. Jing Xiao, Xinhai Chen, Jiaming Peng, Jie Liu
2026	J	`jnl`	Prior-Guided Symbolic Regression: Towards Scientific Consistency in Equation Discovery. CoRR Jing Xiao, Xinhai Chen, Jiaming Peng, Qinglin Wang, Menghan Jia, Zhiquan Lai, Guangping Yu, Dongsheng Li, Tiejun Li, Jie Liu
2026	J	`jnl`	ST-FlowNet: A lightweight framework for long-term spatio-temporal flow field prediction. Neural Networks Qisong Xiao, Xinhai Chen, Haijian Yang, Chunye Gong, Jie Liu
2025	A	`conf`	An Efficient Adaptive Dual-Threshold Svm Based on Heterogeneous Collaboration. IPDPS Xing Peng, Qinglin Wang, Chuhe Hong, Gencheng Liu, Rui Xia, Xinhai Chen, Zhigang Sun, Jie Liu
2025	J	`jnl`	An intelligent mesh-smoothing method with graph neural networks. Frontiers Inf. Technol. Electron. Eng. Zhichao Wang, Xinhai Chen, Junjun Yan, Jie Liu
2025	B	`conf`	Dual-Spectral Neural Operator for Solving Partial Differential Equations. IJCNN Jing Xiao, Xinhai Chen, Rui Xia, Jie Liu
2025	J	`jnl`	FE-PIRBN: Feature-enhanced physics-informed radial basis neural networks for solving high-frequency electromagnetic scattering problems. J. Comput. Phys. Huajian Zhang, Chao Li, Rui Xia, Xinhai Chen, Tiaojie Xiao, Xiaowei Guo, Jie Liu
2025	J	`jnl`	HADF: a hash-adaptive dual fusion implicit network for super-resolution of turbulent flows. Frontiers Inf. Technol. Electron. Eng. Yunfei Liu, Xinhai Chen, Gen Zhang, Qingyang Zhang, Qinglin Wang, Jie Liu
2025	A	`conf`	IA-Chol: Input-Aware Cholesky Decomposition on CPU and GPU. ICS Jixiao Deng, Qinglin Wang, Lin Chen, Tun Li, Bo Yang, Xinhai Chen, Jie Liu
2025	B	`conf`	Informative Discrimination Network for Efficient Single Image Super-Resolution. IJCNN Yuzheng Tu, Xinhai Chen, Chunye Gong, Jie Liu, Bo Yang, Xiang Gao, Xiang Zhang
2025	J	`jnl`	MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation. CoRR Jing Xiao, Xinhai Chen, Qingling Wang, Jie Liu
2025	J	`jnl`	Towards Megacity-Scale Wind Flow Simulations on Many-Core CPU-Accelerator Systems. SIAM J. Sci. Comput. Lei Xu, Qingyang Zhang, Kai Lu, Zhengzheng Yan, Chunye Gong, Shengguo Li, Lin Chen, Xinhai Chen, Xuchuan Lin, Jie Liu, Zheng Wang, Rongliang Chen
2025	B	`conf`	VES: Vectorized Sparse General Matrix-Matrix Multiplication on Multi-Core DSPs. ICPP Chuhe Hong, Qinglin Wang, Xing Peng, Gencheng Liu, Qingyang Zhang, Xinhai Chen, Jie Liu
2024	J	`jnl`	3DMeshNet: A Three-Dimensional Differential Neural Network for Structured Mesh Generation. CoRR Jiaming Peng, Xinhai Chen, Jie Liu
2024	J	`jnl`	Developing an advanced neural network and physics solver coupled framework for accelerating flow field simulations. Eng. Comput. Xinhai Chen, Tiejun Li, Yunbo Wan, Yuechao Liang, Chunye Gong, Yufei Pang, Jie Liu
2024	J	`jnl`	GNNRL-Smoothing: A Prior-Free Reinforcement Learning Model for Mesh Smoothing. CoRR Zhichao Wang, Xinhai Chen, Chunye Gong, Bo Yang, Liang Deng, Yufei Sun, Yufei Pang, Jie Liu
2024	—	`conf`	ImPINN: Improved Physics-informed neural networks for solving inverse problems. CyberC Yidi Bai, Xinhai Chen, Chunye Gong, Jie Liu
2024	J	`jnl`	MST: Topology-Aware Message Aggregation for Exascale Graph Processing of Traversal-Centric Algorithms. ACM Trans. Archit. Code Optim. Xinbiao Gan, Tiejun Li, Feng Xiong, Bo Yang, Xinhai Chen, Chunye Gong, Shijie Li, Kai Lu, Qiao Li, Yiming Zhang
2024	—	`conf`	PAR-DeepONet: A Novel Physics Informed Operator Learning Method Based On Physical Adaptive Refinement. CSAI Yu Zhou, Xinhai Chen, Jie Liu
2024	B	`conf`	SuperCSR: A Space-Time-Efficient CSR Representation for Large-scale Graph Applications on Supercomputers. ICPP Xinbiao Gan, Tiejun Li, Qiang Zhang, Bo Yang, Xinhai Chen, Jie Liu
2023	J	`jnl`	Auxiliary-Tasks Learning for Physics-Informed Neural Network-Based Partial Differential Equations Solving. CoRR Junjun Yan, Xinhai Chen, Zhichao Wang, Enqiang Zhou, Jie Liu
2023	J	`jnl`	Predicting gene regulatory links from single-cell RNA-seq data using graph neural networks. Briefings Bioinform. Guo Mao, Zhengbin Pang, Ke Zuo, Qinglin Wang, Xiangdong Pei, Xinhai Chen, Jie Liu
2023	B	`conf`	ST-PINN: A Self-Training Physics-Informed Neural Network for Partial Differential Equations. IJCNN Junjun Yan, Xinhai Chen, Zhichao Wang, Enqiang Zhou, Jie Liu
2023	J	`jnl`	ST-PINN: A Self-Training Physics-Informed Neural Network for Partial Differential Equations. CoRR Junjun Yan, Xinhai Chen, Zhichao Wang, Enqiang Zhou, Jie Liu
2022	J	`jnl`	A Neural Network-Based Mesh Quality Indicator for Three-Dimensional Cylinder Modelling. Entropy Xinhai Chen, Zhichao Wang, Jie Liu, Chunye Gong, Yufei Pang
2022	J	`jnl`	A novel neural network approach for airfoil mesh quality evaluation. J. Parallel Distributed Comput. Xinhai Chen, Chunye Gong, Jie Liu, Yufei Pang, Liang Deng, Lihua Chi, Kenli Li
2022	J	`jnl`	An Improved Structured Mesh Generation Method Based on Physics-informed Neural Networks. CoRR Xinhai Chen, Jie Liu, Junjun Yan, Zhichao Wang, Chunye Gong
2022	C	`conf`	CSR&RV: An Efficient Value Compression Format for Sparse Matrix-Vector Multiplication. NPC Junjun Yan, Xinhai Chen, Jie Liu
2022	J	`jnl`	Evaluating mesh quality with graph neural networks. Eng. Comput. Zhichao Wang, Xinhai Chen, Tieju Li, Chunye Gong, Yufei Pang, Jie Liu
2022	C	`conf`	Improving the Performance of Lattice Boltzmann Method with Pipelined Algorithm on A Heterogeneous Multi-zone Processor. PDCAT Qingyang Zhang, Lei Xu, Rongliang Chen, Lin Chen, Xinhai Chen, Qinglin Wang, Jie Liu, Bo Yang
2022	J	`jnl`	MGNet: a novel differential mesh generation method based on unsupervised neural networks. Eng. Comput. Xinhai Chen, Tiejun Li, Qian Wan, Xiaoyu He, Chunye Gong, Yufei Pang, Jie Liu
2021	J	`jnl`	A region-based hypergraph network for joint entity-relation extraction. Knowl. Based Syst. Qian Wan, Luona Wei, Xinhai Chen, Jie Liu
2021	B	`conf`	An efficient image to column algorithm for convolutional neural networks. IJCNN Chunye Gong, Xinhai Chen, Shuling Lv, Jie Liu, Bo Yang, Qinglin Wang, Weimin Bao, Yufei Pang, Yang Sun
2021	J	`jnl`	Configurable Multi-directional Systolic Array Architecture for Convolutional Neural Networks. ACM Trans. Archit. Code Optim. Rui Xu, Sheng Ma, Yaohua Wang, Xinhai Chen, Yang Guo
2021	J	`jnl`	MVE-Net: An Automatic 3-D Structured Mesh Validity Evaluation Framework Using Deep Neural Networks. Comput. Aided Des. Xinhai Chen, Jie Liu, Chunye Gong, Shengguo Li, Yufei Pang, Bo Chen
2021	—	`conf`	Modeling Full Information with Graph Network for Joint Entity-Relation Extraction. ACAI Qian Wan, Luona Wei, Xinhai Chen, Jie Liu
2020	—	`conf`	A Novel Interactive Recurrent Attention Network for Emotion-Cause Pair Extraction. ACAI Xiangyu Jia, Xinhai Chen, Qian Wan, Jie Liu
2020	—	`conf`	An Airfoil Mesh Quality Criterion using Deep Neural Networks. ICACI Xinhai Chen, Jie Liu, Chunye Gong, Yufei Pang, Bo Chen
2020	J	`jnl`	OHTMA: an optimized heuristic topology-aware mapping algorithm on the Tianhe-3 exascale supercomputer prototype. Frontiers Inf. Technol. Electron. Eng. Yishui Li, Xinhai Chen, Jie Liu, Bo Yang, Chunye Gong, Xinbiao Gan, Shengguo Li, Han Xu
2020	J	`jnl`	VBSF: a new storage format for SIMD sparse matrix-vector multiplication on modern processors. J. Supercomput. Yishui Li, Peizhen Xie, Xinhai Chen, Jie Liu, Bo Yang, Shengguo Li, Chunye Gong, Xinbiao Gan, Han Xu
2018	J	`jnl`	An efficient SIMD compression format for sparse matrix-vector multiplication. Concurr. Comput. Pract. Exp. Xinhai Chen, Peizhen Xie, Lihua Chi, Jie Liu, Chunye Gong
2018	—	`conf`	TAMM: A New Topology-Aware Mapping Method for Parallel Applications on the Tianhe-2A Supercomputer. ICA3PP (1) Xinhai Chen, Jie Liu, Shengguo Li, Peizhen Xie, Lihua Chi, Qinglin Wang