Yu Li (李煜)

引用次数

	总计	2018 年至今
引用	1711	1692
h 指数	23	22
i10 指数	33	33

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435

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Xin GaoProfessor, Computer Sciences; Associate Director, Computational Bioscience Research Center在 kaust.edu.sa 的电子邮件经过验证
Ramzan UmarovPostdoctoral researcher, RIKEN在 riken.jp 的电子邮件经过验证
Sheng WangZelixir Biotech在 zelixir.com 的电子邮件经过验证
Lizhong Ding (丁立中)Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAE在 inceptioniai.org 的电子邮件经过验证
hiroyuki kuwaharaResearch Scientist at KAUST在 kaust.edu.sa 的电子邮件经过验证
Le SongBiomap, Mohamed bin Zayed University of Artificial Intelligence在 biomap.com 的电子邮件经过验证
Mo LiKing Abdullah University of Science and Technology (KAUST)在 kaust.edu.sa 的电子邮件经过验证
Licheng ZongPh.D. Student, Department of Computer Science & Engineering, The Chinese University of Hong Kong在 cse.cuhk.edu.hk 的电子邮件经过验证
wei chenProfessor of Systems Biology, Southern University of Science and Technology在 sustech.edu.cn 的电子邮件经过验证
Yixuan WangPh.D student in CSE, Chinese University of Hong Kong在 cse.cuhk.edu.hk 的电子邮件经过验证
Hanjun DaiGoogle Brain在 google.com 的电子邮件经过验证
Shuyu SunProfessor, King Abdullah University of Science and Technology (KAUST)在 kaust.edu.sa 的电子邮件经过验证
Tao ZhangKAUST在 kaust.edu.sa 的电子邮件经过验证
Irwin KingThe Chinese University of Hong Kong在 cse.cuhk.edu.hk 的电子邮件经过验证
Xinshi ChenGeorgia Institution of Technology在 gatech.edu 的电子邮件经过验证
Xuhui HuangHirschfelder Chair in Theoretical Chemistry, University of Wisconsin-Madison (previously at HKUST)在 chem.wisc.edu 的电子邮件经过验证
Liang HongPhD at The Chinese University of Hong Kong在 link.cuhk.edu.hk 的电子邮件经过验证
Jiayang ChenCUHK在 cuhk.edu.hk 的电子邮件经过验证
Qingxiong TanComputer Science & Engineering, Chinese University of Hong Kong在 cuhk.edu.hk 的电子邮件经过验证
Russ B AltmanProfessor Stanford University在 stanford.edu 的电子邮件经过验证

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Yu Li (李煜)

Assistant Professor, Computer Science & Engineering, Chinese University of Hong Kong

在 cse.cuhk.edu.hk 的电子邮件经过验证 - 首页

Deep Learning Healthcare Bioinformatics Machine Learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	245	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	202	2018
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	85	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	82*	2019
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	80	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	60	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	60	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	57	2019
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	54	2020
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	51	2017
Accelerating flash calculation through deep learning methods Y Li, T Zhang, S Sun, X Gao Journal of Computational Physics 394, 153-165, 2019	48	2019
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	41	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	39	2018
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	39*	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	39	2017
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	38	2018
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	35	2020
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	35	2019
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	33	2021
Learning to stop while learning to predict X Chen, H Dai, Y Li, X Gao, L Song International Conference on Machine Learning, 1520-1530, 2020	31	2020

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