Qingxiong Tan

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P C YuenProfessor of Computer Science, Hong Kong Baptist UniversityDirección de correo verificada de comp.hkbu.edu.hk
Grace lai hung WongThe Chinese University of Hong KongDirección de correo verificada de cuhk.edu.hk
Terry Cheuk-Fung YipDepartment of Medicine and Therapeutics, The Chinese University of Hong KongDirección de correo verificada de cuhk.edu.hk
Yu Li (李煜)Assistant Professor, Computer Science & Engineering, Chinese University of Hong KongDirección de correo verificada de cse.cuhk.edu.hk
Yang BaoyaoAssociate Professor of Computer Science, Guangdong University of TechnologyDirección de correo verificada de gdut.edu.cn
Mang YeProfessor, Wuhan UniversityDirección de correo verificada de whu.edu.cn
Andy Jinhua MASUN YAT-SEN UNIVERSITYDirección de correo verificada de mail.sysu.edu.cn
Licheng ZongThe Chinese University of Hong Kong, EMBL-EBI, University of CambridgeDirección de correo verificada de ebi.ac.uk
Vincent Wai-Sun WongThe Chinese University of Hong KongDirección de correo verificada de mect.cuhk.edu.hk
Irwin KingThe Chinese University of Hong KongDirección de correo verificada de cse.cuhk.edu.hk
Lei xiaohuiChina Institute of Water Resources and Hydropower ResearchDirección de correo verificada de iwhr.com
Siqi SunAssociate Professor; Fudan University, Shanghai AI LabDirección de correo verificada de fudan.edu.cn
Tao ShenBytedanceDirección de correo verificada de bytedance.com
Francis K. L. ChanProfessor of Medicine, Dean, Faculty of Medicine, The Chinese University of Hong KongDirección de correo verificada de cuhk.edu.hk
Jiuming WangThe Chinese University of Hong KongDirección de correo verificada de cse.cuhk.edu.hk
Mark GersteinProfessor of Biomedical Informatics, Yale UniversityDirección de correo verificada de yale.edu
Tao YangProfessor of Computer Science, University of California at Santa BarbaraDirección de correo verificada de cs.ucsb.edu
Xinrong ZhangPosdoctoral Scholar in Department of Gastroenterology and Hepatology, Stanford University; PhD, CUHKDirección de correo verificada de stanford.edu
Zheng LiangzhenZelixir Biotech

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Qingxiong Tan

The Chinese University of Hong Kong

Dirección de correo verificada de cuhk.edu.hk

AI for healthcare sequence data bioinformatics predictive models machine learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Short-term wind power prediction based on LSSVM–GSA model X Yuan, C Chen, Y Yuan, Y Huang, Q Tan Energy Conversion and Management 101, 393-401, 2015	268	2015
Wind power prediction using hybrid autoregressive fractionally integrated moving average and least square support vector machine X Yuan, Q Tan, X Lei, Y Yuan, X Wu Energy 129, 122-137, 2017	221	2017
Data-gru: Dual-attention time-aware gated recurrent unit for irregular multivariate time series Q Tan, M Ye, B Yang, S Liu, AJ Ma, TCF Yip, GLH Wong, PC Yuen Proceedings of the AAAI conference on artificial intelligence 34 (01), 930-937, 2020	133	2020
Interpretable RNA foundation model from unannotated data for highly accurate RNA structure and function predictions J Chen, Z Hu, S Sun, Q Tan, Y Wang, Q Yu, L Zong, L Hong, J Xiao, ... arXiv preprint arXiv:2204.00300, 2022	103	2022
Novel machine learning models outperform risk scores in predicting hepatocellular carcinoma in patients with chronic viral hepatitis GLH Wong, VWK Hui, Q Tan, J Xu, HW Lee, TCF Yip, B Yang, YK Tse, ... JHEP Reports 4 (3), 100441, 2022	50	2022
Explainable uncertainty-aware convolutional recurrent neural network for irregular medical time series Q Tan, M Ye, AJ Ma, B Yang, TCF Yip, GLH Wong, PC Yuen IEEE Transactions on Neural Networks and Learning Systems 32 (10), 4665-4679, 2020	42	2020
Short‐Term Wind Speed Prediction Using EEMD‐LSSVM Model A Kang, Q Tan, X Yuan, X Lei, Y Yuan Advances in Meteorology 2017 (1), 6856139, 2017	42	2017
UA-CRNN: Uncertainty-aware convolutional recurrent neural network for mortality risk prediction Q Tan, AJ Ma, M Ye, B Yang, H Deng, VWS Wong, YK Tse, TCF Yip, ... Proceedings of the 28th ACM international conference on information and …, 2019	27	2019
Cross-domain missingness-aware time-series adaptation with similarity distillation in medical applications B Yang, M Ye, Q Tan, PC Yuen IEEE Transactions on Cybernetics 52 (5), 3394-3407, 2020	20	2020
A hybrid residual network and long short-term memory method for peptic ulcer bleeding mortality prediction Q Tan, AJ Ma, H Deng, VWS Wong, YK Tse, TCF Yip, GLH Wong, ... AMIA Annual Symposium Proceedings 2018, 998, 2018	16	2018
Interpretable rna foundation model from unannotated data for highly accurate rna structure and function predictions. bioRxiv J Chen, Z Hu, S Sun, Q Tan, Y Wang, Q Yu, L Zong, L Hong, J Xiao, ...	15	2022
Unbiased organism-agnostic and highly sensitive signal peptide predictor with deep protein language model J Shen, Q Yu, S Chen, Q Tan, J Li, Y Li Nature Computational Science 4 (1), 29-42, 2024	13	2024
AcrNET: predicting anti-CRISPR with deep learning Y Li, Y Wei, S Xu, Q Tan, L Zong, J Wang, Y Wang, J Chen, L Hong, Y Li Bioinformatics 39 (5), btad259, 2023	11	2023
Interpretable RNA foundation model from unannotated data for highly accurate RNA structure and function predictions.(2022). doi: 10.48550 J Chen, Z Hu, S Sun, Q Tan, Y Wang, Q Yu, L Zong, L Hong, J Xiao, ... arXiv preprint ARXIV.2204.00300, 0	11*
Importance-aware personalized learning for early risk prediction using static and dynamic health data Q Tan, M Ye, AJ Ma, TCF Yip, GLH Wong, PC Yuen Journal of the American Medical Informatics Association 28 (4), 713-726, 2021	9	2021
Cooperative Joint Attentive Network for Patient Outcome Prediction on Irregular Multi-Rate Multivariate Health Data Q Tan, M Ye, GLH Wong, PC Yuen IJCAI, 1586-1592, 2021	9	2021
fastmsa: Accelerating multiple sequence alignment with dense retrieval on protein language L Hong, S Sun, L Zheng, Q Tan, Y Li bioRxiv, 2021.12. 20.473431, 2021	7	2021
Fast, sensitive detection of protein homologs using deep dense retrieval L Hong, Z Hu, S Sun, X Tang, J Wang, Q Tan, L Zheng, S Wang, S Xu, ... Nature Biotechnology, 1-13, 2024	6	2024
USPNet: unbiased organism-agnostic signal peptide predictor with deep protein language model S Chen, Q Tan, J Li, Y Li bioRxiv, 2021.11. 04.467361, 2021	4	2021
ifDEEPre: large protein language-based deep learning enables interpretable and fast predictions of enzyme commission numbers Q Tan, J Xiao, J Chen, Y Wang, Z Zhang, T Zhao, Y Li Briefings in Bioinformatics 25 (4), bbae225, 2024	1	2024

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