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
- Assistant ProfessorSchool of Artificial Intelligence and Automation, Huaiyin Normal University (HYTC), Huaian, China | Sep 2026 – Present
Education
- Ph.D. in Computer Science and TechnologyNational University of Defense Technology (NUDT), Changsha, China | 2023 – 2026Advisor: Prof. Jie Liu | Research Area: AI for Science, Mesh Generation & Optimization, GNNs
- M.S. in Electronic InformationNational University of Defense Technology (NUDT), Changsha, China | 2020 – 2022
- B.S. in Mechatronic EngineeringNorthwestern Polytechnical University (NWPU), Xi'an, China | 2016 – 2020
Honors and Awards
- University-level Outstanding StudentNational University of Defense Technology, 2025
- Second-class Academic ScholarshipNational University of Defense Technology, 2025
- College-level Outstanding StudentCollege of Computer, National University of Defense Technology, 2025
- National Scholarship (Top 1%)Ministry of Education of PRC & Northwestern Polytechnical University, 2017
Technical Skills & Expertise
- AI & Deep Learning: Graph Neural Networks (GNNs), Reinforcement Learning (RL), Physics-Informed Neural Networks (PINNs), LLMs for Science, Unsupervised Learning.
- Scientific Computing & CFD: Mesh Generation, Mesh Movement & Smoothing, Mesh Quality Indicators, Computational Fluid Dynamics (CFD), Aerodynamic Design Optimization.
- Programming Languages: Python, C/C++, CUDA, MATLAB, Shell/Bash.
- Frameworks & Scientific Tools: PyTorch, PyTorch Geometric (PyG), DGL, Gmsh, MeshLab, ParaView, Git, Docker, Linux.
Peer-Reviewed Publications
2026 International Joint Conference on Neural Networks (IJCNN) (2026) CCF-C
@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)
@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
@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
@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
@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)
@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
@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
@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
@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)
@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
@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)
@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
@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
- Invited Reviewer for International Journals:
- Computer Methods in Applied Mechanics and Engineering (CMAME)
- Neural Networks
- Aerospace Science and Technology (AST)
- Engineering Applications of Artificial Intelligence (EAAI)
- Simulation Modelling Practice and Theory (SMPT)
Conference Presentations & Talks
- Oral Presentation, “Intelligent Mesh Optimization with Deep Geometric Learning”, The 1st National Conference on Intelligent Fluid Mechanics, 2024.
- Oral Presentation, “Graph-based Mesh Smoothing and Quality Assessment”, The 2023 National Workshop on Mesh Generation and Applications (MEGAS 2023), 2023.
- Conference Attendance, The 2nd Chinese Conference of Aerodynamics, 2023.
Teaching Experience
- Teaching Assistant, University Computing, National University of Defense Technology, Fall 2024 & Fall 2025.