Curriculum Vitae

Zhichao Wang
Assistant Professor, School of Artificial Intelligence and Automation
Huaiyin Normal University (HYTC), Huaian, Jiangsu, China
Email: 8202611023@hytc.edu.cn | GitHub: Apoiuty

Professional Experience

Education

Honors and Awards

Technical Skills & Expertise

Peer-Reviewed Publications

2026 International Joint Conference on Neural Networks (IJCNN) (2026) CCF-C
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)
Details
@article{wang2026afin,
  title     = { A Fine-Grained Intelligent Mesh Quality Evaluation Algorithm Based on Neural Networks },
  author    = { Zhichao Wang and colleagues },
  journal   = { 2026 International Joint Conference on Neural Networks (IJCNN) },
  year      = { 2026 }
}
Computers & Fluids (2026)
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)
@article{wang2026gener,
  title     = { Generalization-Aware Structured Mesh Smoothing via Graph Neural Networks },
  author    = { Zhichao Wang and colleagues },
  journal   = { Computers & Fluids },
  year      = { 2026 },
  url       = { https://doi.org/10.1016/j.compfluid.2025.106895 }
}
arXiv:2601.21681 (2026) Preprint
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.
@article{wang2026llm4f,
  title     = { LLM4Fluid: Large Language Models as Generalizable Neural Solvers for Fluid Dynamics },
  author    = { Zhichao Wang and colleagues },
  journal   = { arXiv:2601.21681 },
  year      = { 2026 },
  url       = { https://arxiv.org/abs/2601.21681 }
}
Neural Networks (2025) CCF-B CAS Q2 Top
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)
@article{wang2025gnnrl,
  title     = { GNNRL-Smoothing: A prior-free reinforcement learning model for mesh optimization },
  author    = { Zhichao Wang and colleagues },
  journal   = { Neural Networks },
  year      = { 2025 },
  url       = { https://doi.org/10.1016/j.neunet.2025.108235 }
}
Advances in Neural Information Processing Systems (NeurIPS 2025) (2025) NeurIPS / CCF-A
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)
@article{wang2025ugm2n,
  title     = { UGM2N: An Unsupervised and Generalizable Mesh Movement Network via M-Uniform Loss },
  author    = { Zhichao Wang and colleagues },
  journal   = { Advances in Neural Information Processing Systems (NeurIPS 2025) },
  year      = { 2025 },
  url       = { https://openreview.net/forum?id=UspcIEkK0y&referrer=%5BAuthor%20Console%5D(%2Fgroup%3Fid%3DNeurIPS.cc%2F2025%2FConference%2FAuthors%23your-submissions) }
}
Engineering Computations (2025)
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)
@article{wang2025aneu,
  title     = { A neural network approach for unstructured mesh quality evaluation },
  author    = { Zhichao Wang and colleagues },
  journal   = { Engineering Computations },
  year      = { 2025 },
  url       = { https://doi.org/10.1108/EC-XX-XXXX-XXXX }
}
Frontiers of Information Technology & Electronic Engineering (2025) CCF-C
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)
@article{wang2025anin,
  title     = { An intelligent mesh-smoothing method with graph neural networks },
  author    = { Zhichao Wang and colleagues },
  journal   = { Frontiers of Information Technology & Electronic Engineering },
  year      = { 2025 },
  url       = { https://doi.org/10.1631/FITEE.2400123 }
}
Acta Aeronautica et Astronautica Sinica (2025) Top Aeronautical Journal
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)
Details
@article{wang2025asur,
  title     = { A surface mesh smoothing method for aircraft based on unsupervised learning },
  author    = { Zhichao Wang and colleagues },
  journal   = { Acta Aeronautica et Astronautica Sinica },
  year      = { 2025 }
}
Engineering Applications of Computational Fluid Mechanics (2024) CAS Q1 Top
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)
@article{wang2024towar,
  title     = { Towards a new paradigm in intelligence-driven computational fluid dynamics simulations },
  author    = { Zhichao Wang and colleagues },
  journal   = { Engineering Applications of Computational Fluid Mechanics },
  year      = { 2024 },
  url       = { https://doi.org/10.1080/19942060.2024.2407005 }
}
International Journal of Modern Physics C (2024)
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)
Details
@article{wang2024accel,
  title     = { Accelerating aerodynamic design optimization based on graph convolutional neural network },
  author    = { Zhichao Wang and colleagues },
  journal   = { International Journal of Modern Physics C },
  year      = { 2024 }
}
2023 International Joint Conference on Neural Networks (IJCNN) (2023) CCF-C
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)
Details
@article{wang2023st-pi,
  title     = { ST-PINN: A self-training physics-informed neural network for partial differential equations },
  author    = { Zhichao Wang and colleagues },
  journal   = { 2023 International Joint Conference on Neural Networks (IJCNN) },
  year      = { 2023 }
}
Entropy (2022)
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)
@article{wang2022aneu,
  title     = { A neural network-based mesh quality indicator for three-dimensional cylinder modelling },
  author    = { Zhichao Wang and colleagues },
  journal   = { Entropy },
  year      = { 2022 },
  url       = { https://doi.org/10.3390/e24091245 }
}
Engineering with Computers (2022) CAS Q2 Top
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)
@article{wang2022evalu,
  title     = { Evaluating mesh quality with graph neural networks },
  author    = { Zhichao Wang and colleagues },
  journal   = { Engineering with Computers },
  year      = { 2022 },
  url       = { https://doi.org/10.1007/s00366-021-01487-6 }
}

Professional Service & Peer Review

Conference Presentations & Talks

Teaching Experience