15 citations · 33 across the 8 of their papers we have counts for
8 papers
GraphCL-DTA: a graph contrastive learning with molecular semantics for drug-target binding affinity prediction
Xinxing Yang, Genke Yang, Jian Chu
Drug-target binding affinity prediction plays an important role in the early stages of drug discovery, which can infer the strength of interactions between new drugs and new target…
The Balanced Matrix Factorization for Computational Drug Repositioning
Xinxing Yang, Genke Yang, Jian Chu
Computational drug repositioning aims to discover new uses of drugs that have been marketed. However, the existing models suffer from the following limitations. Firstly, in the rea…
Self-supervised Learning for Label Sparsity in Computational Drug Repositioning
Xinxing Yang, Genke Yang, Jian Chu
The computational drug repositioning aims to discover new uses for marketed drugs, which can accelerate the drug development process and play an important role in the existing drug…
The Computational Drug Repositioning without Negative Sampling
Xinxing Yang, Genke Yang, Jian Chu
Computational drug repositioning technology is an effective tool to accelerate drug development. Although this technique has been widely used and successful in recent decades, many…
The Neural Metric Factorization for Computational Drug Repositioning
Xinxing Yang, Genke Yangand Jian Chu
Computational drug repositioning aims to discover new therapeutic diseases for marketed drugs and has the advantages of low cost, short development cycle, and high controllability…
CenterFace: Joint Face Detection and Alignment Using Face as Point
Yuanyuan Xu, Wan Yan, Haixin Sun +2
Face detection and alignment in unconstrained environment is always deployed on edge devices which have limited memory storage and low computing power. This paper proposes a one-st…
Improvement of Resting-state EEG Analysis Process with Spectrum Weight-Voting based on LES
Yumeng Ye, Haichun Liu, TianHong Zhang +4
EEG is a non-invasive technique for recording brain bioelectric activity, which has potential applications in various fields such as human-computer interaction and neuroscience. Ho…
A Data Driven Approach for Resting-state EEG signal Classification of Schizophrenia with Control Participants using Random Matrix Theory
Haichun Liu, TianHong Zhang, Yumeng Ye +4
Resting state electroencephalogram (EEG) abnormalities in clinically high-risk individuals (CHR), clinically stable first-episode patients with schizophrenia (FES), healthy control…