Yu Li (李煜)
Yu Li (李煜)
Assistant Professor, Computer Science & Engineering, Chinese University of Hong Kong
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
Deep learning in bioinformatics: Introduction, application, and perspective in the big data era
Y Li, C Huang, L Ding, Z Li, Y Pan, X Gao
Methods 166, 4-21, 2019
DEEPre: sequence-based enzyme EC number prediction by deep learning
Y Li, S Wang, R Umarov, B Xie, M Fan, L Li, X Gao
Bioinformatics 34 (5), 760-769, 2018
Promoter analysis and prediction in the human genome using sequence-based deep learning models
R Umarov, H Kuwahara, Y Li, X Gao, V Solovyev
Bioinformatics, 2019
DeepSimulator: a deep simulator for Nanopore sequencing
Y Li, R Han, C Bi, M Li, S Wang, X Gao
Bioinformatics 34 (17), 2899-2908, 2018
mlDEEPre: Multi-functional enzyme function prediction with hierarchical multi-label deep learning
Z Zou, S Tian, X Gao, Y Li
Frontiers in Genetics 9, 714, 2019
Modern deep learning in bioinformatics
H Li, S Tian, Y Li, Q Fang, R Tan, Y Pan, C Huang, Y Xu, X Gao
Journal of molecular cell biology 12 (11), 823-827, 2020
Rna secondary structure prediction by learning unrolled algorithms
X Chen, Y Li, R Umarov, X Gao, L Song
International Conference on Learning Representations 2020, 2020
A self-adaptive deep learning algorithm for accelerating multi-component flash calculation
T Zhang, Y Li, Y Li, S Sun, X Gao
Computer Methods in Applied Mechanics and Engineering 369, 113207, 2020
A deep learning framework to predict binding preference of RNA constituents on protein surface
JH Lam, Y Li, L Zhu, R Umarov, H Jiang, A Héliou, FK Sheong, T Liu, ...
Nature communications 10 (1), 4941, 2019
Accelerating flash calculation through deep learning methods
Y Li, T Zhang, S Sun, X Gao
Journal of Computational Physics 394, 153-165, 2019
Sequence2vec: a novel embedding approach for modeling transcription factor binding affinity landscape
H Dai, R Umarov, H Kuwahara, Y Li, L Song, X Gao
Bioinformatics 33 (22), 3575-3583, 2017
H-NS uses an autoinhibitory conformational switch for environment-controlled gene silencing
UF Shahul Hameed, C Liao, AK Radhakrishnan, F Huser, SSE Aljedani, ...
Nucleic Acids Research, 2018
DeeReCT-PolyA: a robust and generic deep learning method for PAS identification
Z Xia, Y Li, B Zhang, Z Li, Y Hu, W Chen, X Gao
Bioinformatics, 2018
DLBI: Deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy
Y Li, F Xu, F Zhang, P Xu, M Zhang, M Fan, L Li, X Gao, R Han
Bioinformatics & ISMB, 2018
The dynamic multisite interactions between two intrinsically disordered proteins
S Wu, D Wang, J Liu, Y Feng, J Weng, Y Li, X Gao, J Liu, W Wang
Angewandte Chemie International Edition 56 (26), 7515-7519, 2017
DeepSimulator1. 5: a more powerful, quicker and lighter simulator for Nanopore sequencing
Y Li, S Wang, C Bi, Z Qiu, M Li, X Gao
Bioinformatics 36 (8), 2578-2580, 2020
SupportNet: solving catastrophic forgetting in class incremental learning with support data
Y Li, Z Li, L Ding, Y Hu, W Chen, X Gao
arXiv preprint arXiv:1806.02942, 2018
PGCN: Disease gene prioritization by disease and gene embedding through graph convolutional neural networks
Y Li, H Kuwahara, P Yang, L Song, X Gao
biorxiv, 532226, 2019
On the Decision Boundary of Deep Neural Networks
Y Li, L Ding, X Gao
arXiv preprint arXiv:1808.05385, 2018
HMD-ARG: hierarchical multi-task deep learning for annotating antibiotic resistance genes
Y Li, Z Xu, W Han, H Cao, R Umarov, A Yan, M Fan, H Chen, CM Duarte, ...
Microbiome 9, 1-12, 2021
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Artikkelit 1–20