| 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 | 844 | 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 & Rehabilitation Engineering, Vol 29 …, 2021 | 684 | 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 | 613 | 2020 |
| Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST Y Long, KS Ang, M Li, KLK Chong, R Sethi, C Zhong, H Xu, Z Ong, ... Nature Communications 14 (1), 1155, 2023 | 497 | 2023 |
| 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 | 452 | 2009 |
| 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 | 422 | 2016 |
| 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 | 414 | 2010 |
| 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 | 348 | 2016 |
| 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 | 325 | 2018 |
| 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 | 322 | 2015 |
| Two-Stream Convolution Augmented Transformer for Human Activity Recognition B Li, W Cui, W Wang, L Zhang, Z Chen, M Wu AAAI 2021, 2021 | 260 | 2021 |
| Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification E Eldele, M Ragab, Z Chen, M Wu, CK Kwoh, X Li, C Guan IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 | 199 | 2023 |
| 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 | 172 | 2020 |
| TSLANet: Rethinking Transformers for Time Series Representation Learning E Eldele, M Ragab, Z Chen, M Wu, X Li The 41st International Conference on Machine Learning (ICML 2024), 2024 | 171 | 2024 |
| 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 | 164 | 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 | 163 | 2020 |
| Conditional Contrastive Domain Generalization for Fault Diagnosis M Ragab, Z Chen, W Zhang, E Eldele, M Wu, CK Kwoh, X Li IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2022 | 153 | 2022 |
| Bi-LSTM-Based Two-Stream Network for Machine Remaining Useful Life Prediction R Jin, Z Chen, K Wu, M Wu, X Li, R Yan IEEE Transactions on Instrumentation and Measurement 71, 1-10, 2022 | 150 | 2022 |
| Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph Y Liu, S Yang, Y Xu, C Miao, M Wu, J Zhang IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021 | 149 | 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 | 147 | 2016 |
Xiaoli Li (李晓黎)IEEE Fellow, Highly Cited Researcher; Professor & Pillar Head, SUTD; Adjunct Professor, NTUVerified email at sutd.edu.sg
