| A core-attachment based method to detect protein complexes in PPI networks M Wu, X Li, CK Kwoh, SK Ng BMC bioinformatics 10 (1), 1-16, 2009 | 405 | 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), 1-19, 2010 | 402 | 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 | 317 | 2016 |
| 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 (TCBB), 2016 | 256 | 2016 |
| 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 | 253 | 2020 |
| An overview of state-of-the-art partial discharge analysis techniques for condition monitoring M Wu, H Cao, J Cao, HL Nguyen, JB Gomes, SP Krishnaswamy IEEE Electrical Insulation Magazine 31 (6), 22-35, 2015 | 250 | 2015 |
| Computational prediction of drug–target interactions using chemogenomic approaches: an empirical survey A Ezzat, M Wu, XL Li, CK Kwoh Briefings in bioinformatics, bby002, 2018 | 220 | 2018 |
| 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 & Rehabilitation Engineering, Vol 29 …, 2021 | 219 | 2021 |
| Time-Series Representation Learning via Temporal and Contextual Contrasting E Eldele, M Ragab, Z Chen, M Wu, CK Kwoh, X Li, C Guan 30th International Joint Conference on Artificial Intelligence (IJCAI 2021), 2021 | 162 | 2021 |
| Drug-target interaction prediction via class imbalance-aware ensemble learning A Ezzat, M Wu, XL Li, CK Kwoh BMC bioinformatics 17 (19), 267-276, 2016 | 117 | 2016 |
| Semantic Proximity Search on Graphs with Metagraph-based Learning Y Fang, W Lin, VW Zheng, M Wu, KCC Chang, XL Li 32nd IEEE International Conference on Data Engineering (ICDE), pages 277-288, 2016 | 112 | 2016 |
| Inferring gene-phenotype associations via global protein complex network propagation P Yang, X Li, M Wu, CK Kwoh, SK Ng PloS one 6 (7), e21502, 2011 | 108 | 2011 |
| Repeat Buyer Prediction for E-Commerce G Liu, TT Nguyen, G Zhao, W Zha, J Yang, J Cao, M Wu, P Zhao, W Chen 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016 | 98 | 2016 |
| Drug-target interaction prediction using ensemble learning and dimensionality reduction A Ezzat, M Wu, XL Li, CK Kwoh Methods 129, 81-88, 2017 | 93 | 2017 |
| Detecting temporal protein complexes from dynamic protein-protein interaction networks L Ou-Yang, DQ Dai, XL Li, M Wu, XF Zhang, P Yang BMC bioinformatics 15, 1-14, 2014 | 78 | 2014 |
| Smartphone Sensor Based Human Activity Recognition Using Feature Fusion and Maximum Full A Posteriori Z Chen, C Jiang, S Xiang, J Ding, M Wu, X Li IEEE Transactions on Instrumentation and Measurement 69 (7), 3992 - 4001, 2019 | 77 | 2019 |
| Two-Stream Convolution Augmented Transformer for Human Activity Recognition B Li, W Cui, W Wang, L Zhang, Z Chen, M Wu AAAI 2021, 2021 | 71 | 2021 |
| Predicting human microbe–drug associations via graph convolutional network with conditional random field Y Long, M Wu, CK Kwoh, J Luo, X Li Bioinformatics 36 (19), 4918-4927, 2020 | 71 | 2020 |
| Degradation-aware remaining useful life prediction with LSTM autoencoder JY Wu, M Wu, Z Chen, XL Li, R Yan IEEE Transactions on Instrumentation and Measurement 70, 1-10, 2021 | 67 | 2021 |
| Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction M Ragab, Z Chen, M Wu, CS Foo, CK Kwoh, R Yan, XL Li IEEE Transactions on Industrial Informatics, 2020 | 67 | 2020 |
Xiaoli Li (李晓黎)Principal Scientist and Dept Head, Institute for Infocomm Research; Adjunct Professor, NTUVerified email at i2r.a-star.edu.sg
