no code implementations • 27 Nov 2023 • Xinxing Yang, Genke Yang, Jian Chu
The computational model based on deep learning concatenates the representation of multiple drugs and the corresponding cell line feature as input, and the output is whether the drug combination can have an inhibitory effect on the cell line.
no code implementations • 18 Jul 2023 • Xinxing Yang, Genke Yang, Jian Chu
Moreover, most previous studies tended to design complicated representation learning module, while uniformity, which is used to measure representation quality, is ignored.
no code implementations • 1 Jun 2022 • Xinxing Yang, Genke Yang, Jian Chu
Specifically, we take the drug-disease association prediction problem as the main task, and the auxiliary task is to use data augmentation strategies and contrast learning to mine the internal relationships of the original drug features, so as to automatically learn a better drug representation without supervised labels.
no code implementations • 29 Nov 2021 • Xinxing Yang, Genke Yang, Jian Chu
The limitations of these works are mainly due to the following two reasons: firstly, previous works used negative sampling techniques to treat unvalidated drug-disease associations as negative samples, which is invalid in real-world settings; secondly, the inner product cannot fully take into account the feature information contained in the latent factor of drug and disease.
9 code implementations • 9 Nov 2019 • Yuanyuan Xu, Wan Yan, Haixin Sun, Genke Yang, Jiliang Luo
Face detection and alignment in unconstrained environment is always deployed on edge devices which have limited memory storage and low computing power.
Ranked #14 on Face Detection on WIDER Face (Hard)