Haosu Zhou

16 papers Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Recurrent U-Net-based Graph Neural Network (RUGNN) for accurate deformation predictions in sheet material forming.
Adv. Eng. Informatics
Yingxue Zhao, Qianyi Chen, Haoran Li, Haosu Zhou, Hamid Reza Attar, Tobias Pfaff, Tailin Wu, Nan Li
2025 J jnl
A multi-level graph-based surrogate model for real-time high-fidelity sheet forming simulations.
Adv. Eng. Informatics
Haosu Zhou, Yingxue Zhao, Haoran Li, Tobias Pfaff, Nan Li
2025 J jnl
A new graph-based surrogate model for rapid prediction of crashworthiness performance of vehicle panel components.
CoRR
Haoran Li, Yingxue Zhao, Haosu Zhou, Tobias Pfaff, Nan Li
2025 J jnl
Recurrent U-Net-Based Graph Neural Network (RUGNN) for Accurate Deformation Predictions in Sheet Material Forming.
CoRR
Yingxue Zhao, Qianyi Chen, Haoran Li, Haosu Zhou, Hamid Reza Attar, Tobias Pfaff, Tailin Wu, Nan Li
2024 J jnl
A review of graph neural network applications in mechanics-related domains.
Artif. Intell. Rev.
Yingxue Zhao, Haoran Li, Haosu Zhou, Hamid Reza Attar, Tobias Pfaff, Nan Li
2024 J jnl
A review of graph neural network applications in mechanics-related domains.
CoRR
Yingxue Zhao, Haoran Li, Haosu Zhou, Hamid Reza Attar, Tobias Pfaff, Nan Li
2023 J jnl
Two-Stage Fast Matching Pursuit Algorithm for Multi-Target Localization.
IEEE Access
Ningfei Dong, Lei Zhang, Haosu Zhou, Xiaolin Li, Shie Wu, Xia Liu
2022 J jnl
Image-based Artificial Intelligence empowered surrogate model and shape morpher for real-time blank shape optimisation in the hot stamping process.
CoRR
Haosu Zhou, Nan Li
2021 J jnl
Rapid feasibility assessment of components formed through hot stamping: A deep learning approach.
CoRR
Hamid Reza Attar, Haosu Zhou, Alistair Foster, Nan Li
2021 J jnl
SuperMeshing: A New Deep Learning Architecture for Increasing the Mesh Density of Metal Forming Stress Field with Attention Mechanism and Perceptual Features.
CoRR
Qingfeng Xu, Zhenguo Nie, Handing Xu, Haosu Zhou, Xinjun Liu
2020 J jnl
A study on using image based machine learning methods to develop the surrogate models of stamp forming simulations.
CoRR
Haosu Zhou, Qingfeng Xu, Nan Li
2020 — conf
Iterative Decoding Algorithm for VDES Signals.
ICDSP
Haosu Zhou, Bin Yue, Liu Liu, Huiwen Zuo, Jiapeng Huang, Jin Wang
2019 J jnl
Frequency offset insensitive demodulation algorithm for satellite-based automatic identification system.
Int. J. Satell. Commun. Netw.
Haosu Zhou, Wenbin Lu, Zhenbin Lv, Hui Gu, Zhenfu Liu
2018 J jnl
A constant false alarm rate frame detector for satellite-based automatic identification system.
Int. J. Satell. Commun. Netw.
Haosu Zhou, Jianxin Wang, Peixin Zhang, Tian Ban
2018 J jnl
An improved least squares constant modulus algorithm for collision messages separation in multichannel space-based AIS.
Int. J. Satell. Commun. Netw.
Peixin Zhang, Jianxin Wang, Haosu Zhou, Tian Ban
2016 J jnl
A cyclic redundancy check-based non-coherent receiver for automatic identification system signals.
Int. J. Satell. Commun. Netw.
Haosu Zhou, Tian Ban, Jianxin Wang