Best-Subset Selection in Generalized Linear Models: A Fast and Consistent Algorithm via Splicing Technique

no code implementations • 1 Aug 2023 • Junxian Zhu, Jin Zhu, Borui Tang, Xuanyu Chen, Hongmei Lin, Xueqin Wang

In high-dimensional generalized linear models, it is crucial to identify a sparse model that adequately accounts for response variation.

Computational Efficiency Variable Selection

FedMAE: Federated Self-Supervised Learning with One-Block Masked Auto-Encoder

no code implementations • 20 Mar 2023 • Nan Yang, Xuanyu Chen, Charles Z. Liu, Dong Yuan, Wei Bao, Lizhen Cui

Latest federated learning (FL) methods started to focus on how to use unlabeled data in clients for training due to users' privacy concerns, high labeling costs, or lack of expertise.

Federated Learning Image Reconstruction +1

Deep Learning Methods for Small Molecule Drug Discovery: A Survey

no code implementations • 1 Mar 2023 • Wenhao Hu, Yingying Liu, Xuanyu Chen, Wenhao Chai, Hangyue Chen, Hongwei Wang, Gaoang Wang

With the development of computer-assisted techniques, research communities including biochemistry and deep learning have been devoted into the drug discovery field for over a decade.

Drug Discovery Molecular Property Prediction +2

Deep Learning for Stock Selection Based on High Frequency Price-Volume Data

no code implementations • 6 Nov 2019 • Junming Yang, Yaoqi Li, Xuanyu Chen, Jiahang Cao, Kangkang Jiang

Training a practical and effective model for stock selection has been a greatly concerned problem in the field of artificial intelligence.

Time Series Time Series Analysis