Gengshen Fu

According to our database1, Gengshen Fu authored at least 24 papers between 2012 and 2022.

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

Timeline

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Bibliography

2022
Unified Speculation, Detection, and Verification Keyword Spotting.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Tiny-CRNN: Streaming Wakeword Detection in a Low Footprint Setting.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020
Metadata-Aware End-to-End Keyword Spotting.
Proceedings of the Interspeech 2020, 2020

2018
Independent Component Analysis Using Semi-Parametric Density Estimation Via Entropy Maximization.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

2016
Max-pooling loss training of long short-term memory networks for small-footprint keyword spotting.
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016

Model Compression Applied to Small-Footprint Keyword Spotting.
Proceedings of the Interspeech 2016, 2016

2015
Complex Independent Component Analysis Using Three Types of Diversity: Non-Gaussianity, Nonwhiteness, and Noncircularity.
IEEE Trans. Signal Process., 2015

Density estimation by entropy maximization with kernels.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A data-driven solution for abandoned object detection: Advantages of multiple types of diversity.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Independent vector analysis by entropy rate bound minimization.
Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015

An efficient multivariate generalized Gaussian distribution estimator: Application to IVA.
Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015

2014
Blind Source Separation by Entropy Rate Minimization.
IEEE Trans. Signal Process., 2014

Likelihood Estimators for Dependent Samples and Their Application to Order Detection.
IEEE Trans. Signal Process., 2014

Independent Vector Analysis: Identification Conditions and Performance Bounds.
IEEE Trans. Signal Process., 2014

Diversity in Independent Component and Vector Analyses: Identifiability, algorithms, and applications in medical imaging.
IEEE Signal Process. Mag., 2014

ICA and IVA: Theory, connections, and applications to medical imaging.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2014

Entropy rate estimation for vector processes: Application to complex FMRI analysis.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Performance of complex-valued ICA algorithms for fMRI analysis: Importance of taking full diversity into account.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

An efficient entropy rate estimator for complex-valued signal processing: Application to ICA.
Proceedings of the IEEE International Conference on Acoustics, 2014

A novel approach for assessing reliability of ICA for FMRI analysis.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Algorithms for Markovian source separation by entropy rate minimization.
Proceedings of the IEEE International Conference on Acoustics, 2013

Independent vector analysis, the Kotz distribution, and performance bounds.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Order detection for dependent samples using entropy rate.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

IVA and ICA: Use of diversity in independent decompositions.
Proceedings of the 20th European Signal Processing Conference, 2012


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