Zhiping Lin
Researcher Next ID · RN-036997
Researcher · Computer Science
Nanyang Technological University
Singapore, Singapore
- Works count
- 513
- Citation count
- 10,375
- H-index
- 50
- i10-index
- 208
Research interests
Publications
Attention Multihop Graph and Multiscale Convolutional Fusion Network for Hyperspectral Image Classification
IEEE Transactions on Geoscience and Remote Sensing · 2023 · https://doi.org/10.1109/tgrs.2023.3265879
A Review of Machine Learning for Near-Infrared Spectroscopy
Sensors · 2022 · https://doi.org/10.3390/s22249764
Dimensionality Reduction and Classification of Hyperspectral Image via Multistructure Unified Discriminative Embedding
IEEE Transactions on Geoscience and Remote Sensing · 2021 · https://doi.org/10.1109/tgrs.2021.3128764
Robust semi-supervised nonnegative matrix factorization for image clustering
Pattern Recognition · 2020 · https://doi.org/10.1016/j.patcog.2020.107683
GTC: Guided Training of CTC towards Efficient and Accurate Scene Text Recognition
Proceedings of the AAAI Conference on Artificial Intelligence · 2020 · https://doi.org/10.1609/aaai.v34i07.6735
Microring resonator-assisted Fourier transform spectrometer with enhanced resolution and large bandwidth in single chip solution
Nature Communications · 2019 · https://doi.org/10.1038/s41467-019-10282-1
Deep CNNs for microscopic image classification by exploiting transfer learning and feature concatenation
Journal · 2018 · https://doi.org/10.1109/iscas.2018.8351550
Micro-Doppler Mini-UAV Classification Using Empirical-Mode Decomposition Features
IEEE Geoscience and Remote Sensing Letters · 2017 · https://doi.org/10.1109/lgrs.2017.2781711
Constrained maximum correntropy adaptive filtering
Signal Processing · 2017 · https://doi.org/10.1016/j.sigpro.2017.05.009
Meta-cognitive online sequential extreme learning machine for imbalanced and concept-drifting data classification
Neural Networks · 2016 · https://doi.org/10.1016/j.neunet.2016.04.008
Extreme Learning Machines on High Dimensional and Large Data Applications: A Survey
Mathematical Problems in Engineering · 2015 · https://doi.org/10.1155/2015/103796
Brain tumor grading based on Neural Networks and Convolutional Neural Networks
Journal · 2015 · https://doi.org/10.1109/embc.2015.7318458
Driver Distraction Detection Using Semi-Supervised Machine Learning
IEEE Transactions on Intelligent Transportation Systems · 2015 · https://doi.org/10.1109/tits.2015.2496157
Stacked Extreme Learning Machines
IEEE Transactions on Cybernetics · 2014 · https://doi.org/10.1109/tcyb.2014.2363492
Ensemble of subset online sequential extreme learning machine for class imbalance and concept drift
Neurocomputing · 2014 · https://doi.org/10.1016/j.neucom.2014.03.075
Weighted Online Sequential Extreme Learning Machine for Class Imbalance Learning
Neural Processing Letters · 2013 · https://doi.org/10.1007/s11063-013-9286-9
Prediction of cardiac arrest in critically ill patients presenting to the emergency department using a machine learning score incorporating heart rate variability compared with the modified early warning score
Critical Care · 2012 · https://doi.org/10.1186/cc11396
Self-Adaptive Evolutionary Extreme Learning Machine
Neural Processing Letters · 2012 · https://doi.org/10.1007/s11063-012-9236-y
Voting based extreme learning machine
Information Sciences · 2011 · https://doi.org/10.1016/j.ins.2011.09.015
Composite function wavelet neural networks with extreme learning machine
Neurocomputing · 2009 · https://doi.org/10.1016/j.neucom.2009.12.007
Robust stability and stabilisation of 2D discrete state-delayed systems
Systems & Control Letters · 2003 · https://doi.org/10.1016/j.sysconle.2003.09.003
Current projects
No projects listed.