Tianyu Zhao
Publications by Year
Research Areas
Pulsars and Gravitational Waves Research, Seismic Waves and Analysis, Image and Signal Denoising Methods, Model Reduction and Neural Networks, Generative Adversarial Networks and Image Synthesis
Most-Cited Works
- → Space-based gravitational wave signal detection and extraction with deep neural network(2023)32 cited
- → Dilated convolutional neural network for detecting extreme-mass-ratio inspirals(2024)14 cited
- → Rapid eccentric spin-aligned binary black hole waveform generation based on deep learning(2025)7 cited
- → Compact binary systems waveform generation with a generative pretrained transformer(2024)6 cited
- → Compact binary coalescence gravitational wave signal counting and separation(2025)4 cited
- A Method Based on Frequency Domain and Spatial Domain Combination of Image Enhancement Method(2013)
- → On-demand Quick Metasurface Design with Neighborhood Attention Transformer(2024)1 cited
- → Rapid Parameter Estimation for Extreme Mass Ratio Inspirals Using Machine Learning(2024)1 cited
- → An Evolved Universal Transformer Memory(2024)1 cited
- → Compact Binary Systems Waveform Generation with Generative Pre-trained Transformer(2023)