Articles with public access mandates - Wu MinLearn more
Not available anywhere: 15
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
Mandates: A*Star, Singapore
An Attention based deep sequential GRU model for sensor drift compensation
T Chaudhuri, M Wu, Y Zhang, P Liu, X Li
IEEE Sensors Journal 21 (6), 7908 - 7917, 2020
Mandates: A*Star, Singapore
Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction
R Jin, M Wu, K Wu, K Gao, Z Chen, X Li
IEEE/CAA Journal of Automatica Sinica 9 (8), 1427-1439, 2022
Mandates: National Research Foundation, Singapore
Multivariate Time Series Representation Learning via Hierarchical Correlation Pooling Boosted Graph Neural Network
Y Wang, M Wu, X Li, L Xie, Z Chen
IEEE Transactions on Artificial Intelligence (TAI), 2023
Mandates: A*Star, Singapore
Local-Global Correlation Fusion-Based Graph Neural Network for Remaining Useful Life Prediction
Y Wang, M Wu, R Jin, X Li, L Xie, Z Chen
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Mandates: A*Star, Singapore
QLP: Deep Q-Learning for Pruning Deep Neural Networks
E Camci, M Gupta, M Wu, J Lin
IEEE Transactions on Circuits and Systems for Video Technology, 2022
Mandates: A*Star, Singapore
An adaptive and dynamical neural network for machine remaining useful life prediction
R Jin, D Zhou, M Wu, X Li, Z Chen
IEEE Transactions on Industrial Informatics 20 (2), 1093-1102, 2023
Mandates: A*Star, Singapore
A hybrid accuracy-and energy-aware human activity recognition model in IoT environment
DN Jha, Z Chen, S Liu, M Wu, J Zhang, G Morgan, R Ranjan, X Li
IEEE Transactions on Sustainable Computing 8 (1), 1-14, 2022
Mandates: UK Research & Innovation, National Research Foundation, Singapore
Contrastive Distillation with Regularized Knowledge for Deep Model Compression on Sensor-based Human Activity Recognition
Q Xu, M Wu, X Li, K Mao, Z Chen
IEEE Transactions on Industrial Cyber-Physical Systems, 2023
Mandates: A*Star, Singapore
Predicting surface roughness and flank wear in turning processes
NK Vuong, Y Xue, S Liu, Y Zhou, M Wu
2020 IEEE International Conference on Prognostics and Health Management …, 2020
Mandates: A*Star, Singapore
Reinforced Knowledge Distillation for Time Series Regression
Q Xu, K Wu, M Wu, K Mao, X Li, Z Chen
IEEE Transactions on Artificial Intelligence (TAI), 2023
Mandates: National Research Foundation, Singapore
Generalizing Wireless Cross-Multiple-Factor Gesture Recognition to Unseen Domains
S Liu, Z Chen, M Wu, H Wang, B Xing, L Chen
IEEE Transactions on Mobile Computing, 2023
Mandates: National Natural Science Foundation of China, A*Star, Singapore
Mobile robot routing with energy consumption optimization
S Liu, X Li, S Xiang, M Wu
Proceedings of the 2019 5th International Conference on Robotics and …, 2019
Mandates: A*Star, Singapore
Conv-inheritance: A hardware-efficient method to compress convolutional neural networks for edge applications
Y Yang, C Wang, L Gong, M Wu, X Zhou
Neurocomputing 487, 172-180, 2022
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China
DP-IINK: A Framework for Drift Prediction with Inter and Intra Node Knowledge Transfer with Less Data
Y Zhang, T Chaudhuri, P Liu, L Wang, M Wu, X Li
IEEE Sensors Journal 23 (6), 5892 - 5900, 2023
Mandates: A*Star, Singapore
Available somewhere: 88
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
Mandates: A*Star, Singapore
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
Mandates: National Natural Science Foundation of China, A*Star, Singapore
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
Mandates: National Research Foundation, Singapore
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
Mandates: A*Star, Singapore
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
Mandates: A*Star, Singapore
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