Yu Li (李煜)

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i10-index	47	47

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Xin GaoProfessor, Computer Sciences; Director, Computational Bioscience Research CenterVerified email at kaust.edu.sa
Ramzan UmarovPostdoctoral researcher, RIKENVerified email at riken.jp
Sheng WangZelixir BiotechVerified email at zelixir.com
Lizhong Ding (丁立中)Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAEVerified email at inceptioniai.org
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligenceVerified email at biomap.com
Yixuan WangPh.D student in CSE, Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
hiroyuki kuwaharaResearch Scientist at KAUSTVerified email at kaust.edu.sa
Licheng ZongThe Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
Irwin KingThe Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
Liang HongPhD at The Chinese University of Hong KongVerified email at link.cuhk.edu.hk
Mo LiKing Abdullah University of Science and Technology (KAUST)Verified email at kaust.edu.sa
Jiayang ChenCUHKVerified email at cuhk.edu.hk
wei chenProfessor of Systems Biology, Southern University of Science and TechnologyVerified email at sustech.edu.cn
Qingxiong TanComputer Science & Engineering, Chinese University of Hong KongVerified email at cuhk.edu.hk
Hanjun DaiGoogle BrainVerified email at google.com
Xinshi ChenGeorgia Institution of TechnologyVerified email at bytedance.com
Junkang WeiUniversity of MichiganVerified email at umich.edu
Xuhui HuangHirschfelder Chair in Theoretical Chemistry, University of Wisconsin-Madison (previously at HKUST)Verified email at chem.wisc.edu

Yu Li (李煜)

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

Verified email at cse.cuhk.edu.hk - Homepage

Deep Learning Bioinformatics Healthcare Machine Learning


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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	352	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	272	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	106	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, 432910, 2019	105	2019
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 35 (16), 2730-2737, 2019	97	2019
RNA secondary structure prediction by learning unrolled algorithms X Chen, Y Li, R Umarov, X Gao, L Song arXiv preprint arXiv:2002.05810, 2020	95	2020
Progressive-hint prompting improves reasoning in large language models C Zheng, Z Liu, E Xie, Z Li, Y Li arXiv preprint arXiv:2304.09797, 2023	85	2023
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	85	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	85	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	83	2020
Accelerating flash calculation through deep learning methods Y Li, T Zhang, S Sun, X Gao Journal of Computational Physics 394, 153-165, 2019	61	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	60	2017
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	57	2021
H-NS uses an autoinhibitory conformational switch for environment-controlled gene silencing UF Shahul Hameed, C Liao, AK Radhakrishnan, F Huser, SS Aljedani, ... Nucleic acids research 47 (5), 2666-2680, 2019	55	2019
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	50	2020
Protein–RNA interaction prediction with deep learning: structure matters J Wei, S Chen, L Zong, X Gao, Y Li Briefings in bioinformatics 23 (1), bbab540, 2022	49	2022
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	48	2020
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 35 (14), 2371-2379, 2019	48	2019
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 34 (13), i284-i294, 2018	46	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	45	2017

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