activity
20222026
most citedTaiji Data Challenge for Exploring Gravitational Wave Universe

51 citations · 107 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2026

The limits of bio-molecular modeling with large language models : a cross-scale evaluation

Yaxin Xu, Yue Zhou, Tianyu Zhao +2

The modeling of bio-molecular system across molecular scales remains a central challenge in scientific research. Large language models (LLMs) are increasingly applied to bio-molecu…

gr-qc2024

Rapid eccentric spin-aligned binary black hole waveform generation based on deep learning

Ruijun Shi, Yue Zhou, Tianyu Zhao +2

Accurate waveform templates of binary black holes (BBHs) with eccentric orbits are essential for the detection and precise parameter estimation of gravitational waves (GWs). While…

gr-qc2024★ 1 cited

GWAI: Artificial Intelligence Platform for Enhanced Gravitational Wave Data Analysis

Tianyu Zhao, Yue Zhou, Ruijun Shi +2

Gravitational wave (GW) astronomy has opened new frontiers in understanding the cosmos, while the integration of artificial intelligence (AI) in science promises to revolutionize d…

gr-qc2023★ 5 cited

Dawning of a New Era in Gravitational Wave Data Analysis: Unveiling Cosmic Mysteries via Artificial Intelligence -- A Systematic Review

Tianyu Zhao, Ruijun Shi, Yue Zhou +2

Gravitational wave data analysis (GWDA) faces significant challenges due to high-dimensional parameter spaces and non-Gaussian, non-stationary artifacts in the interferometer backg…

gr-qc2023

Compact Binary Systems Waveform Generation with Generative Pre-trained Transformer

Ruijun Shi, Yue Zhou, Tianyu Zhao +2

Space-based gravitational wave (GW) detection is one of the most anticipated GW detection projects in the next decade, which promises to detect abundant compact binary systems. At…

astro-ph.IM2023★ 15 cited

Dilated convolutional neural network for detecting extreme-mass-ratio inspirals

Tianyu Zhao, Yue Zhou, Ruijun Shi +2

The detection of Extreme Mass Ratio Inspirals (EMRIs) is intricate due to their complex waveforms, extended duration, and low signal-to-noise ratio (SNR), making them more challeng…

gr-qc2023★ 51 cited

Taiji Data Challenge for Exploring Gravitational Wave Universe

Zhixiang Ren, Tianyu Zhao, Zhoujian Cao +4

The direct observation of gravitational waves (GWs) opens a new window for exploring new physics from quanta to cosmos and provides a new tool for probing the evolution of universe…

gr-qc2022★ 35 cited

Space-based gravitational wave signal detection and extraction with deep neural network

Tianyu Zhao, Ruoxi Lyu, He Wang +2

Space-based gravitational wave (GW) detectors will be able to observe signals from sources that are otherwise nearly impossible from current ground-based detection. Consequently, t…