1 citations · 1 across the 6 of their papers we have counts for
6 papers
A Frequency-Aware Dynamic Knowledge Distillation Framework: An Effective Tool for Bridging Low- and High-Frequency Seismic Information
Jun Ma, Xinyang Wang, Xintong Dong
Seismic data contain rich information across different frequency bands, with low-frequency components primarily characterizing large-scale geological structures and high-frequency…
Transcending Classical Neural Network Boundaries: A Quantum-Classical Synergistic Paradigm for Seismic Data Processing
Zhengyi Yuan, Xintong Dong, Xinyang Wang +2
In recent years, a number of neural-network (NN) methods have exhibited good performance in seismic data processing, such as denoising, interpolation, and frequency-band extension.…
2.5D Transformer: An Efficient 3D Seismic Interpolation Method without Full 3D Training
Changxin Wei, Xintong Dong, Xinyang Wang
Transformer has emerged as a powerful deep-learning technique for two-dimensional (2D) seismic data interpolation, owing to its global modeling ability. However, its core operation…
Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion
Xinyan Wang, Rui Dai, Kaikui Liu +1
We propose the Fourier Adaptive Lite Diffusion Architecture (FALDA), a novel probabilistic framework for time series forecasting. First, we introduce the Diffusion Model for Residu…
DDPM-MoCo: Advancing Industrial Surface Defect Generation and Detection with Generative and Contrastive Learning
Yangfan He, Xinyan Wang, Tianyu Shi
The task of industrial detection based on deep learning often involves solving two problems: (1) obtaining sufficient and effective data samples, (2) and using efficient and conven…
Self-Supervised Diffusion Model for 3-D Seismic Data Reconstruction
Xinyang Wang, Qianyu Ge, Xintong Dong +2
Seismic data reconstruction is an effective tool for compensating nonuniform and incomplete seismic geometry. Compared with methods for 2D seismic data, 3D reconstruction methods c…