Yanghua Wang

According to our database, Yanghua Wang authored at least 13 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quantum Convolutional Neural Networks.

Jucai Zhai, Muhammad Abdullah, Boyang Chen, Fazal Chaudry, Paul N. Smith, Claire E. Heaney, Yanghua Wang, Jiansheng Xiang, Christopher C. Pain

CoRR, March, 2026

2025

AI-Empowered Latent Four-dimensional Variational Data Assimilation for River Discharge Forecasting.

Kun Wang, Gabriele Bertoli, Sibo Cheng, Kai Schröter, Enrica Caporali, Matthew D. Piggott, Yanghua Wang, Rossella Arcucci

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Latent Three-Dimensional Variational Data Assimilation with Convolutional Autoencoder and LSTM for Flood Forecasting.

Kun Wang, Gabriele Bertoli, Kai Schröter, Enrica Caporali, Matthew D. Piggott, Yanghua Wang, Rossella Arcucci

Proceedings of the Computational Science - ICCS 2025 Workshops, 2025

2024

Investigation into three-dimensional dry foam modelling using the boundary integral method.

Haosen Zhang, Senyou An, Pablo R. Brito-Parada, Stephen J. Neethling, Yanghua Wang

J. Comput. Phys., February, 2024

Seismic Full Waveform Inversion With Shot-Encoding Using an Improved L-BFGS Method.

Junqiu Zhang, Ying Rao, Yanghua Wang

IEEE Trans. Geosci. Remote. Sens., 2024

The Fractional-Order W-Transform.

Zhencong Zhao, Ying Rao, Yanghua Wang

IEEE Geosci. Remote. Sens. Lett., 2024

Seismic Reverse Time Migration With Random Boundary and Frequency Modulation.

Weilin Zhang, Chao Song, Yanghua Wang

IEEE Geosci. Remote. Sens. Lett., 2024

Advancing operational PM2.5 forecasting with dual deep neural networks (D-DNet).

Shengjuan Cai, Fangxin Fang, Vincent-Henri Peuch, Mihai Alexe, Ionel Michael Navon, Yanghua Wang

CoRR, 2024

Neural Network as Transformation Function in Data Assimilation.

Kun Wang, Matthew D. Piggott, Yanghua Wang, Rossella Arcucci

Proceedings of the Computational Science - ICCS 2024, 2024

2023

Weighted Envelope Correlation-Based Waveform Inversion Using Automatic Differentiation.

Chao Song, Yanghua Wang, Alan Richardson, Cai Liu

IEEE Trans. Geosci. Remote. Sens., 2023

3-D Seismic Inversion by Model Parameterization With Fourier Coefficients.

Fengxia Gao, Ying Rao, Tong Zhu, Yanghua Wang

IEEE Trans. Geosci. Remote. Sens., 2023

2019

Seismic Waveform Tomography With Simplified Restarting Scheme.

Ying Rao, Yanghua Wang, Dechao Han

IEEE Geosci. Remote. Sens. Lett., 2019

2018

Seismic Resolution Enhancement by Frequency-Dependent Wavelet Scaling.

Shuangquan Chen, Yanghua Wang

IEEE Geosci. Remote. Sens. Lett., 2018