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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
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publications
Evaluating mesh quality with graph neural networks
Published in Engineering with Computers, 2022
Zhichao Wang, Xinhai Chen, Tieju Li, Chunye Gong, Yufei Pang, Jie Liu
Recommended citation: Wang Z, Chen X, Li T, et al. Evaluating mesh quality with graph neural networks[J]. Engineering with Computers, 2022, 38(5): 4663-4673. (CAS Q2 Top, IF 4.9, Jul 30, 2022)
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A neural network-based mesh quality indicator for three-dimensional cylinder modelling
Published in Entropy, 2022
Chen X, Wang Z, Liu J, et al.
Recommended citation: Chen X, Wang Z, Liu J, et al. A neural network-based mesh quality indicator for three-dimensional cylinder modelling[J]. Entropy, 2022, 24(9): 1245. (CAS Q3, IF 2.0, Sep 4, 2022)
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ST-PINN: A self-training physics-informed neural network for partial differential equations
Published in 2023 International Joint Conference on Neural Networks (IJCNN), 2023
Yan J, Chen X, Wang Z, et al.
Recommended citation: Yan J, Chen X, Wang Z, et al. ST-PINN: A self-training physics-informed neural network for partial differential equations[C]// 2023 International Joint Conference on Neural Networks (IJCNN). IEEE, 2023: 1-8. (CCF-C, EI)
Accelerating aerodynamic design optimization based on graph convolutional neural network
Published in International Journal of Modern Physics C, 2024
Li T, Yan J, Chen X, Zhichao Wang, et al.
Recommended citation: Li T, Yan J, Chen X, Wang Z, et al. Accelerating aerodynamic design optimization based on graph convolutional neural network[J]. International Journal of Modern Physics C, 2024, 35(01): 2450007. (CAS Q4, IF 1.6)
Towards a new paradigm in intelligence-driven computational fluid dynamics simulations
Published in Engineering Applications of Computational Fluid Mechanics, 2024
Zhichao Wang, Xinhai Chen, Chunye Gong, Bo Yang, Liang Deng, Yufei Sun, Yufei Pang, Jie Liu
Recommended citation: Chen X, Wang Z, Deng L, et al. Towards a new paradigm in intelligence-driven computational fluid dynamics simulations[J]. Engineering Applications of Computational Fluid Mechanics, 2024, 18(1): 2407005. (CAS Q1 Top, IF 5.4, Sep 25, 2024)
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A surface mesh smoothing method for aircraft based on unsupervised learning
Published in Acta Aeronautica et Astronautica Sinica, 2025
Zhichao Wang, Xinhai Chen, Liang Deng, Yang Liu, Yufei Pang, Jie Liu
Recommended citation: Wang Z, Chen X, Deng L, et al. A surface mesh smoothing method for aircraft based on unsupervised learning[J]. Acta Aeronautica et Astronautica Sinica, 2025, 46(10): 631172. (EI Indexed, Top Journal in Aeronautics, Feb 6, 2025)
An intelligent mesh-smoothing method with graph neural networks
Published in Frontiers of Information Technology & Electronic Engineering, 2025
Zhichao Wang, Xinhai Chen, Junjun Yan, Jie Liu
Recommended citation: Wang Z, Chen X, Yan J, et al. An intelligent mesh-smoothing method with graph neural networks[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(3): 367-384. (CAS Q4, CCF-C, IF 2.9, Apr 7, 2025)
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A neural network approach for unstructured mesh quality evaluation
Published in Engineering Computations, 2025
Zhichao Wang, Xinhai Chen, Chunye Gong, Bo Yang, Liang Deng, Yufei Sun, Yufei Pang, Jie Liu
Recommended citation: Chen X, Wang Z, Liu Y, et al. A neural network approach for unstructured mesh quality evaluation[J]. Engineering Computations, 2025, 42(6): 2021-2035. (CAS Q4, IF 1.9, Jul 25, 2025)
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UGM2N: An Unsupervised and Generalizable Mesh Movement Network via M-Uniform Loss
Published in Advances in Neural Information Processing Systems (NeurIPS 2025), 2025
Zhichao Wang, Xinhai Chen, Qinglin Wang, Xiang Gao, Qingyang Zhang, Menghan Jia, Xiang Zhang, Jie Liu
Recommended citation: Wang Z, Chen X, Wang Q, et al. UGM2N: An unsupervised and generalizable mesh movement network via M-uniform loss[C]. In Advances in Neural Information Processing Systems (NeurIPS 2025). (CCF-A, Sep 18, 2025)
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GNNRL-Smoothing: A prior-free reinforcement learning model for mesh optimization
Published in Neural Networks, 2025
Zhichao Wang, Xinhai Chen, Chunye Gong, Bo Yang, Liang Deng, Yufei Sun, Yufei Pang, Jie Liu
Recommended citation: Wang, Z., Chen X, Gong C, et al. GNNRL-Smoothing: A prior-free reinforcement learning model for mesh optimization[J]. Neural Networks, 2025: 108235. (CAS Q2 Top, CCF-B, IF 6.3, Oct 19, 2025)
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LLM4Fluid: Large Language Models as Generalizable Neural Solvers for Fluid Dynamics
Published in arXiv:2601.21681, 2026
Xiao Q, Chen X, Wang Q, Guo X, Wang B, Chen W, Zhichao Wang, et al.
Recommended citation: Xiao Q, Chen X, Wang Q, Guo X, Wang B, Chen W, Wang Z, et al. LLM4Fluid: Large Language Models as Generalizable Neural Solvers for Fluid Dynamics[J]. arXiv:2601.21681, 2026.
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Generalization-Aware Structured Mesh Smoothing via Graph Neural Networks
Published in Computers & Fluids, 2026
Pei J, Chen X, Liu Y, Zhichao Wang, et al.
Recommended citation: Pei J, Chen X, Liu Y, Wang Z, et al. Generalization-Aware Structured Mesh Smoothing via Graph Neural Networks[J]. Computers & Fluids, 2025: 106895. (CAS Q3, IF 3.0, Jan 30, 2026)
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A Fine-Grained Intelligent Mesh Quality Evaluation Algorithm Based on Neural Networks
Published in 2026 International Joint Conference on Neural Networks (IJCNN), 2026
Ke YANG, Xinhai CHEN, Zhichao WANG, Qinglin WANG, Jie LIU.
Recommended citation: Ke YANG, Xinhai CHEN, Zhichao WANG, Qinglin WANG, Jie LIU. A Fine-Grained Intelligent Mesh Quality Evaluation Algorithm Based on Neural Networks [C]// 2026 International Joint Conference on Neural Networks (IJCNN). 2026. (Accepted Mar 24, 2026, CCF-C)
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.