12 citations · 23 across the 4 of their papers we have counts for
4 papers
Scaling Up Data Parallelism in Decentralized Deep Learning
Bing Xie, Junqi Yin, Zhenyu Zhou +2
Although it has been extensively explored in theory, decentralized learning is not yet green-lighted for production use, largely due to a lack of stability, scalability, and genera…
Molecular modeling with machine-learned universal potential functions
Ke Liu, Zekun Ni, Zhenyu Zhou +7
Molecular modeling is an important topic in drug discovery. Decades of research have led to the development of high quality scalable molecular force fields. In this paper, we show…
Boosting Gradient for White-Box Adversarial Attacks
Hongying Liu, Zhenyu Zhou, Fanhua Shang +3
Deep neural networks (DNNs) are playing key roles in various artificial intelligence applications such as image classification and object recognition. However, a growing number of…
Prediction of amino acid side chain conformation using a deep neural network
Ke Liu, Xiangyan Sun, Jun Ma +7
A deep neural network based architecture was constructed to predict amino acid side chain conformation with unprecedented accuracy. Amino acid side chain conformation prediction is…