| 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 | 1575 | 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 | 1115 | 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 | 996 | 2003 |
| Partially supervised classification of text documents B Liu, WS Lee, PS Yu, X Li ICML 2 (485), 387-394, 2002 | 850 | 2002 |
| Learning to classify texts using positive and unlabeled data X Li, B Liu IJCAI 3 (2003), 587-592, 2003 | 693 | 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 | 616 | 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 | 560 | 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 | 528 | 2021 |
| 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 | 468 | 2021 |
| 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 | 459 | 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 | 446 | 2015 |
| 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 | 432 | 2019 |
| 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 | 429 | 2009 |
| 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 | 420 | 2013 |
| 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 | 415 | 2010 |
| 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 | 384 | 2016 |
| 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 | 350 | 2015 |
| Multi-channel graph neural network for entity alignment Y Cao, Z Liu, C Li, J Li, TS Chua arXiv preprint arXiv:1908.09898, 2019 | 345 | 2019 |
| 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 | 327 | 2016 |
| New insights into the biological and pharmaceutical properties of royal jelly S Ahmad, MG Campos, F Fratini, SZ Altaye, J Li International journal of molecular sciences 21 (2), 382, 2020 | 294 | 2020 |
Wu MinPrincipal Scientist, Institute for Infocomm Research在 i2r.a-star.edu.sg 的电子邮件经过验证
