Greetings! I am a Ph.D. student, starting in 2026, at the School of Mathematics and Statistics, Xi’an Jiaotong University, supervised by Prof. Deyu Meng and working with Ph.D. Yisi Luo. I received my Bachelor’s degree from the School of Mathematics and Statistics, Xi’an Jiaotong University in 2026, supervised by Associate Prof. Bangyu Wu.

My research interests focus on PDE-related forward and nonlinear inverse problems using deep learning, including full-waveform inversion (FWI), neural operators, diffusion models, and applications in seismic, medical, radar, and materials imaging.

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


Publications

  • 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)
  • Xueqian Yang, Ruihua Chen, Kai Yang, Meng Li, and Bangyu Wu, “Boundary-Enhanced Continuous Representation Full-Waveform Inversion with Sobel-Integrated Convolutional Neural Network”, Journal of Geophysics and Engineering (JGE), 2026.

Awards

  • 2026年 西安交通大学本科生优秀毕业设计(约1%获评)
  • 2026年 第四届中国石油物探学术年会优秀论文特等奖(前24/753)
  • 2025年 西安交通大学学术科研奖(约10人获评)