Name
Affiliation
Papers
HAILONG LIU
Ritsumeikan Univ, Grad Sch Informat Sci & Engn, 1-1-1 Noji Higashi, Kusatsu, Shiga 5258577, Japan
19
Collaborators
Citations 
PageRank 
40
39
7.57
Referers 
Referees 
References 
117
383
132
Search Limit
100383
Title
Citations
PageRank
Year
A Constellation Design And Optimization For Simultaneously Transmitting Information And Synchronization Sequence00.342019
Enhancing Spectral Efficiency And Ber Performance Of Spatial Modulation Using Layered Architecture00.342019
Methods for Estimating the Convergence of Inter-Chip Min-Entropy of SRAM PUFs.00.342018
Research on an Adaptive Variational Mode Decomposition with Double Thresholds for Feature Extraction.00.342018
Pitfall of the Strongest Cells in Static Random Access Memory Physical Unclonable Functions.00.342018
Defect-Repairable Latent Feature Extraction of Driving Behavior via a Deep Sparse Autoencoder.00.342018
A Novel Security Key Generation Method for SRAM PUF Based on Fourier Analysis.00.342018
Analytical Approximation of the Channel Rate for Massive MIMO System With Large But Finite Number of Antennas.00.342018
Tiny Transform Net for Mobile Image Stylization.00.342017
Visualization of Driving Behavior Based on Hidden Feature Extraction by Using Deep Learning.130.712017
Prediction Of Driving Behavior Based On Sequence To Sequence Model With Parametric Bias00.342017
A Study On Content-Based Video Recommendation20.392017
An Anti-Electromagnetic Attack PUF Based on a Configurable Ring Oscillator for Wireless Sensor Networks.10.392017
Reducing the negative effect of defective data on driving behavior segmentation via a deep sparse autoencoder00.342016
Double articulation analyzer with deep sparse autoencoder for unsupervised word discovery from speech signals.60.532016
Determining Utterance Timing of a Driving Agent With Double Articulation Analyzer.30.402016
Essential Feature Extraction Of Driving Behavior Using A Deep Learning Method20.392015
Visualization of driving behavior using deep sparse autoencoder70.632014
Feature Extraction and Pattern Recognition for Human Motion by a Deep Sparse Autoencoder50.412014