Yu Li (李煜)

Cituota

	Visi	Nuo 2019
Šaltiniai	2774	2725
h-rodyklė	29	28
i10-rodyklė	49	49

720

360

180

540

201820192020202120222023202439 192 331 417 569 706 503

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28 straipsniai

1 straipsnis

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Bendraautoriai

Xin GaoProfessor, Computer Sciences; Director, Computational Bioscience Research CenterPatvirtintas el. paštas kaust.edu.sa
Ramzan UmarovPostdoctoral researcher, RIKENPatvirtintas el. paštas riken.jp
Sheng WangZelixir BiotechPatvirtintas el. paštas zelixir.com
Yixuan WangPh.D. Candidate in CSE, Chinese University of Hong KongPatvirtintas el. paštas cse.cuhk.edu.hk
Lizhong Ding (丁立中)Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAEPatvirtintas el. paštas inceptioniai.org
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligencePatvirtintas el. paštas biomap.com
hiroyuki kuwaharaResearch Scientist at KAUSTPatvirtintas el. paštas kaust.edu.sa
Licheng ZongPh.D. Candidate@CUHK, Visiting@EMBL-EBI & CambridgePatvirtintas el. paštas cse.cuhk.edu.hk
Irwin KingThe Chinese University of Hong KongPatvirtintas el. paštas cse.cuhk.edu.hk
Liang HongPhD at The Chinese University of Hong KongPatvirtintas el. paštas link.cuhk.edu.hk
Qingxiong TanComputer Science & Engineering, Chinese University of Hong KongPatvirtintas el. paštas cuhk.edu.hk
Mo LiKing Abdullah University of Science and Technology (KAUST)Patvirtintas el. paštas kaust.edu.sa
Jiayang ChenCUHKPatvirtintas el. paštas cuhk.edu.hk
wei chenProfessor of Systems Biology, Southern University of Science and TechnologyPatvirtintas el. paštas sustech.edu.cn
Hanjun DaiGoogle DeepMindPatvirtintas el. paštas google.com
Xinshi ChenGeorgia Institution of TechnologyPatvirtintas el. paštas bytedance.com
Xuhui HuangHirschfelder Chair in Theoretical Chemistry, University of Wisconsin-Madison (previously at HKUST)Patvirtintas el. paštas chem.wisc.edu
Junkang WeiUniversity of MichiganPatvirtintas el. paštas umich.edu
Yimin FanThe Chinese University of Hong KongPatvirtintas el. paštas link.cuhk.edu.hk

Stebėti

Yu Li (李煜)

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

Patvirtintas el. paštas cse.cuhk.edu.hk - Pagrindinis puslapis

Deep Learning Bioinformatics Healthcare Machine Learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	369	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	277	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	107	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	107	2018
RNA secondary structure prediction by learning unrolled algorithms X Chen, Y Li, R Umarov, X Gao, L Song arXiv preprint arXiv:2002.05810, 2020	104	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	102	2023
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
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	91	2020
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	89	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	89	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	65	2021
Accelerating flash calculation through deep learning methods Y Li, T Zhang, S Sun, X Gao Journal of Computational Physics 394, 153-165, 2019	63	2019
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	63	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
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	55	2022
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	54	2020
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	52	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	50	2019
On the decision boundary of deep neural networks Y Li, L Ding, X Gao arXiv preprint arXiv:1808.05385, 2018	49	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	48	2017

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