Wentao Zhu

According to our database1, Wentao Zhu authored at least 24 papers between 2012 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Deep Learning for Automated Medical Image Analysis.
CoRR, 2019

An Ultra-Low Power Always-On Keyword Spotting Accelerator Using Quantized Convolutional Neural Network and Voltage-Domain Analog Switching Network-Based Approximate Computing.
IEEE Access, 2019

EERA-KWS: A 163 TOPS/W Always-on Keyword Spotting Accelerator in 28nm CMOS Using Binary Weight Network and Precision Self-Adaptive Approximate Computing.
IEEE Access, 2019

Privacy-Preserving Federated Brain Tumour Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Assessing the Applicability of Complex Network Theory Models and Importance Measures to Vulnerability Studies of Cyber-physical Systems.
Proceedings of the 2019 IEEE PES Innovative Smart Grid Technologies Europe, 2019

Modeling of Interconnected Critical Infrastructure Systems Using Complex Network Theory.
IEEE Trans. Smart Grid, 2018

Self-Gating: An Adaptive Center-of-Mass Approach for Respiratory Gating in PET.
IEEE Trans. Med. Imaging, 2018

Leak Event Identification in Water Systems Using High Order CRF.
CoRR, 2017

Cyber-physical system failure analysis based on Complex Network theory.
Proceedings of the IEEE EUROCON 2017 -17th International Conference on Smart Technologies, 2017

ISAR Imaging of Nonuniformly Rotating Target Based on a Fast Parameter Estimation Algorithm of Cubic Phase Signal.
IEEE Trans. Geoscience and Remote Sensing, 2015

Radar High-Speed Target Detection Based on the Scaled Inverse Fourier Transform.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2015

Transceiver Optimization for the Multi-Antenna Downlink in MIMO Cognitive System.
TIIS, 2015

Deep Trans-layer Unsupervised Networks for Representation Learning.
CoRR, 2015

Constrained Extreme Learning Machines: A Study on Classification Cases.
CoRR, 2015

Direct estimation from list-mode data for reversible tracers using graphical modeling.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Hierarchical Extreme Learning Machine for unsupervised representation learning.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Patlak Image Estimation From Dual Time-Point List-Mode PET Data.
IEEE Trans. Med. Imaging, 2014

ISAR Imaging of Targets With Complex Motion Based on the Chirp Rate-Quadratic Chirp Rate Distribution.
IEEE Trans. Geoscience and Remote Sensing, 2014

Robust regression with extreme support vectors.
Pattern Recognit. Lett., 2014

ISAR Imaging of Targets With Complex Motions Based on the Keystone Time-Chirp Rate Distribution.
IEEE Geosci. Remote Sensing Lett., 2014

Vehicle detection in driving simulation using extreme learning machine.
Neurocomputing, 2014

Constrained Extreme Learning Machine: A novel highly discriminative random feedforward neural network.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A Fast Non-searching Algorithm for the High-Speed Target Detection.
Proceedings of the Progress in Systems Engineering, 2014

Dual-time-point Patlak estimation from list mode PET data.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012