Wu Min
Wu Min
Principal Scientist, Institute for Infocomm Research
Потвърден имейл адрес: i2r.a-star.edu.sg - Начална страница
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
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
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
30th International Joint Conference on Artificial Intelligence (IJCAI 2021), 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 & Rehabilitation Engineering, Vol 29 …, 2021
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
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
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
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
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
Two-Stream Convolution Augmented Transformer for Human Activity Recognition
B Li, W Cui, W Wang, L Zhang, Z Chen, M Wu
AAAI 2021, 2021
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
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
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
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
Drug-target interaction prediction using ensemble learning and dimensionality reduction
A Ezzat, M Wu, XL Li, CK Kwoh
Methods 129, 81-88, 2017
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
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
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
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