activity
20202023
most citedGIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text

81 citations · 248 across the 8 of their papers we have counts for

collaborators

8 papers

q-bio.BM2023

3D-Mol: A Novel Contrastive Learning Framework for Molecular Property Prediction with 3D Information

Taojie Kuang, Yiming Ren, Zhixiang Ren

Molecular property prediction, crucial for early drug candidate screening and optimization, has seen advancements with deep learning-based methods. While deep learning-based method…

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…

cs.LG2023★ 81 cited

GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text

Pengfei Liu, Yiming Ren, Jun Tao +1

Large language models have made significant strides in natural language processing, enabling innovative applications in molecular science by processing textual representations of m…

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

WaveFormer: transformer-based denoising method for gravitational-wave data

He Wang, Yue Zhou, Zhoujian Cao +2

With the advent of gravitational-wave astronomy and the discovery of more compact binary coalescences, data quality improvement techniques are desired to handle the complex and ove…

astro-ph.IM2022★ 65 cited

MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge

Marlin B. Schäfer, Ondřej Zelenka, Alexander H. Nitz +20

We present the results of the first Machine Learning Gravitational-Wave Search Mock Data Challenge (MLGWSC-1). For this challenge, participating groups had to identify gravitationa…

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…

cs.DC2020★ 1 cited

AIPerf: Automated machine learning as an AI-HPC benchmark

Zhixiang Ren, Yongheng Liu, Tianhui Shi +6

The plethora of complex artificial intelligence (AI) algorithms and available high performance computing (HPC) power stimulates the expeditious development of AI components with he…