Greetings! I am currently an undergraduate student started from 2022 at the School of Mathematics and Statistics, Xi’an Jiaotong University (XJTU), supervised by associate Prof. Bangyu Wu and working with Ph.D. student Yisi Luo. I will pursue a PhD degree at the School of Mathematics and Statistics, Xi’an Jiaotong University in 2026, supervised by Prof. Deyu Meng.

My research interests include machine learning theory and PDE-related forward and inversion problems, e.g., implicit regularization, neural tangent kernel (NTK), neural operator, and full-waveform inversion (FWI).

E-mail: ruihua.chen@stu.xjtu.edu.cn

Publication

• Ruihua Chen, Yisi Luo, Bangyu Wu, and Deyu Meng, “Unveiling the Mechanism of Continuous Representation Full-Waveform Inversion: A Wave-Based Neural Tangent Kernel Framework”, International Conference on Learning Representations (ICLR), 2026.
• Ruihua Chen, Bangyu Wu, Meng Li, and Yisi Luo, “Full Waveform Inversion with Velocity Model Low-Rank Implicit Neural Representation”, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2025.
• Bo Kang*, Ruihua Chen*, Kai Yang, Meng Li, Bangyu Wu*, “Implicit full waveform inversion with adaptive Fourier frequency bases learning”, Geophysical Journal International (GJI), 2026. (*Equal contribution)