Xiaoli Li (李晓黎)
Xiaoli Li (李晓黎)
IEEE Fellow, Dept Head, Institute for Infocomm Research, A*STAR; Adjunct Professor NTU
Verified email at - Homepage
Cited by
Cited by
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
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
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
Partially supervised classification of text documents
B Liu, WS Lee, PS Yu, X Li
ICML 2 (485), 387-394, 2002
Learning to classify texts using positive and unlabeled data
X Li, B Liu
IJCAI 3 (2003), 587-592, 2003
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
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
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
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
Computational approaches for detecting protein complexes from protein interaction networks: a survey
X Li, M Wu, CK Kwoh, SK Ng
BMC genomics 11, 1-19, 2010
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
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
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
Time-series representation learning via temporal and contextual contrasting
E Eldele, M Ragab, Z Chen, M Wu, CK Kwoh, X Li, C Guan
arXiv preprint arXiv:2106.14112, 2021
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
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
EEG entropy measures in anesthesia
Z Liang, Y Wang, X Sun, D Li, LJ Voss, JW Sleigh, S Hagihira, X Li
Frontiers in computational neuroscience 9, 16, 2015
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
Multi-channel graph neural network for entity alignment
Y Cao, Z Liu, C Li, J Li, TS Chua
arXiv preprint arXiv:1908.09898, 2019
Text classification by labeling words
B Liu, X Li, WS Lee, PS Yu
Aaai 4, 425-430, 2004
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