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Xiaoli Li (李晓黎)
Xiaoli Li (李晓黎)
Principal Scientist and Dept Head, Institute for Infocomm Research; Adjunct Professor, NTU
Verified email at i2r.a-star.edu.sg - Homepage
Title
Cited by
Cited by
Year
Deep convolutional neural networks on multichannel time series for human activity recognition.
J Yang, MN Nguyen, PP San, X Li, S Krishnaswamy
Ijcai 15, 3995-4001, 2015
13222015
Building text classifiers using positive and unlabeled examples
B Liu, Y Dai, X Li, WS Lee, PS Yu
Third IEEE international conference on data mining, 179-186, 2003
9242003
Deep convolutional neural network based regression approach for estimation of remaining useful life
G Sateesh Babu, P Zhao, XL Li
Database Systems for Advanced Applications: 21st International Conference …, 2016
8442016
Partially supervised classification of text documents
B Liu, WS Lee, PS Yu, X Li
ICML 2 (485), 387-394, 2002
7742002
Learning to classify texts using positive and unlabeled data
X Li, B Liu
IJCAI 3 (2003), 587-592, 2003
6432003
Eliminating noisy information in web pages for data mining
L Yi, B Liu, X Li
Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003
5922003
A core-attachment based method to detect protein complexes in PPI networks
M Wu, X Li, CK Kwoh, SK Ng
BMC bioinformatics 10, 1-16, 2009
4052009
Rank-geofm: A ranking based geographical factorization method for point of interest recommendation
X Li, G Cong, XL Li, TAN Pham, S Krishnaswamy
Proceedings of the 38th international ACM SIGIR conference on research and …, 2015
4032015
Computational approaches for detecting protein complexes from protein interaction networks: a survey
X Li, M Wu, CK Kwoh, SK Ng
BMC genomics 11 (1), 1-19, 2010
4032010
Drug–target interaction prediction by learning from local information and neighbors
JP Mei, CK Kwoh, P Yang, XL Li, J Zheng
Bioinformatics 29 (2), 238-245, 2013
3712013
Global context enhanced graph neural networks for session-based recommendation
Z Wang, W Wei, G Cong, XL Li, XL Mao, M Qiu
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020
3252020
Neighborhood regularized logistic matrix factorization for drug-target interaction prediction
Y Liu, M Wu, C Miao, P Zhao, XL Li
PLoS computational biology 12 (2), e1004760, 2016
3182016
Heterogeneous graph attention networks for semi-supervised short text classification
H Linmei, T Yang, C Shi, H Ji, X Li
Proceedings of the 2019 conference on empirical methods in natural language …, 2019
2862019
Text classification by labeling words
B Liu, X Li, WS Lee, PS Yu
Aaai 4, 425-430, 2004
2582004
Drug-target interaction prediction with graph regularized matrix factorization
A Ezzat, P Zhao, M Wu, XL Li, CK Kwoh
IEEE/ACM transactions on computational biology and bioinformatics 14 (3 …, 2016
2562016
Machine remaining useful life prediction via an attention-based deep learning approach
Z Chen, M Wu, R Zhao, F Guretno, R Yan, X Li
IEEE Transactions on Industrial Electronics 68 (3), 2521-2531, 2020
2552020
Prevalence of psychological symptoms among Ebola survivors and healthcare workers during the 2014-2015 Ebola outbreak in Sierra Leone: a cross-sectional study
D Ji, YJ Ji, XZ Duan, WG Li, ZQ Sun, XA Song, YH Meng, HM Tang, F Chu, ...
Oncotarget 8 (8), 12784, 2017
2532017
Multi-channel graph neural network for entity alignment
Y Cao, Z Liu, C Li, J Li, TS Chua
arXiv preprint arXiv:1908.09898, 2019
2372019
An attention-based deep learning approach for sleep stage classification with single-channel EEG
E Eldele, Z Chen, C Liu, M Wu, CK Kwoh, X Li, C Guan
IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 809-818, 2021
2212021
Computational prediction of drug–target interactions using chemogenomic approaches: an empirical survey
A Ezzat, M Wu, XL Li, CK Kwoh
Briefings in bioinformatics 20 (4), 1337-1357, 2019
2202019
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Articles 1–20