Badong Chen

Badong Chen's AcademicInfluence.com Rankings

Badong Chen

Computer Science

#7046

World Rank

#7421

Historical Rank

Computer Engineering

#82

World Rank

#83

Historical Rank

Data Science

#140

World Rank

#143

Historical Rank

Algorithms

#261

World Rank

#264

Historical Rank

computer-science Degrees

Download Badge

Computer Science

Why Is Badong Chen Influential?

(Suggest an Edit or Addition)

(See a Problem?)

Badong Chen's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Generalized Correntropy for Robust Adaptive Filtering (2015) (443)
Maximum correntropy Kalman filter (2015) (425)
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information (2020) (415)
Quantized Kernel Least Mean Square Algorithm (2012) (371)
Steady-State Mean-Square Error Analysis for Adaptive Filtering under the Maximum Correntropy Criterion (2014) (348)
Similarity Learning with Spatial Constraints for Person Re-identification (2016) (346)
Weighted-permutation entropy: a complexity measure for time series incorporating amplitude information. (2013) (311)
Convergence of a Fixed-Point Algorithm under Maximum Correntropy Criterion (2015) (249)
Maximum Correntropy Estimation Is a Smoothed MAP Estimation (2012) (209)
Maximum correntropy criterion based sparse adaptive filtering algorithms for robust channel estimation under non-Gaussian environments (2015) (186)
Kernel adaptive filtering with maximum correntropy criterion (2011) (176)
Quantized Kernel Recursive Least Squares Algorithm (2013) (168)
Disturbance Observer Based Composite Learning Fuzzy Control of Nonlinear Systems with Unknown Dead Zone (2017) (149)
System Parameter Identification: Information Criteria and Algorithms (2013) (136)
Hybrid-augmented intelligence: collaboration and cognition (2017) (135)
Kernel recursive maximum correntropy (2015) (124)
Kernel Risk-Sensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering (2016) (122)
Diffusion maximum correntropy criterion algorithms for robust distributed estimation (2015) (94)
Mixture correntropy for robust learning (2018) (92)
Blocked Maximum Correntropy Criterion Algorithm for Cluster-Sparse System Identifications (2019) (88)
Online Recorded Data-Based Composite Neural Control of Strict-Feedback Systems With Application to Hypersonic Flight Dynamics (2018) (85)
Kernel least mean square with adaptive kernel size (2014) (83)
Maximum correntropy unscented filter (2016) (80)
Sparse least mean p-power algorithms for channel estimation in the presence of impulsive noise (2016) (74)
Brain-Inspired Cognitive Model With Attention for Self-Driving Cars (2017) (73)
Mean-Square Convergence Analysis of ADALINE Training With Minimum Error Entropy Criterion (2010) (70)
Robust Hammerstein Adaptive Filtering under Maximum Correntropy Criterion (2015) (69)
Fixed budget quantized kernel least-mean-square algorithm (2013) (68)
Efficient and robust deep learning with Correntropy-induced loss function (2016) (63)
A New Normalized Subband Adaptive Filter Algorithm with Individual Variable Step Sizes (2016) (63)
Improved-Variable-Forgetting-Factor Recursive Algorithm Based on the Logarithmic Cost for Volterra System Identification (2016) (59)
Minimum Error Entropy Kalman Filter (2019) (58)
Survival Information Potential: A New Criterion for Adaptive System Training (2012) (58)
Universal Approximation with Convex Optimization: Gimmick or Reality? [Discussion Forum] (2015) (57)
Constrained maximum correntropy adaptive filtering (2016) (55)
Steady-state mean-square-deviation analysis of the sign subband adaptive filter algorithm (2016) (54)
Robust rigid registration algorithm based on pointwise correspondence and correntropy (2020) (53)
Maximum Correntropy Criterion With Variable Center (2019) (53)
Analysis and Optimization of a New 2-D Magnet Array for Planar Motor (2010) (52)
Extended Kalman filter under maximum correntropy criterion (2016) (52)
Robust kernel adaptive filters based on mean p-power error for noisy chaotic time series prediction (2017) (51)
Robust Learning With Kernel Mean $p$ -Power Error Loss (2016) (50)
Robust MIMO radar target localization via nonconvex optimization (2016) (50)
Optimization of Voice Coil Motor to Enhance Dynamic Response Based on an Improved Magnetic Equivalent Circuit Model (2011) (47)
Robust semi-supervised nonnegative matrix factorization for image clustering (2020) (45)
Improved functional link artificial neural network via convex combination for nonlinear active noise control (2016) (44)
Robust Spike-Based Continual Meta-Learning Improved by Restricted Minimum Error Entropy Criterion (2022) (43)
Mean square convergence analysis for kernel least mean square algorithm (2012) (43)
Density-Dependent Quantized Least Squares Support Vector Machine for Large Data Sets (2017) (43)
Correntropy-Based Evolving Fuzzy Neural System (2018) (42)
Maximum Correntropy Kalman Filter With State Constraints (2017) (42)
Maximum total correntropy adaptive filtering against heavy-tailed noises (2017) (42)
Sparse Support Matrix Machine (2018) (42)
Insights Into the Robustness of Minimum Error Entropy Estimation (2018) (42)
Unscented Kalman Filter With Generalized Correntropy Loss for Robust Power System Forecasting-Aided State Estimation (2019) (42)
Random Fourier Filters Under Maximum Correntropy Criterion (2018) (40)
Extreme Learning Machine With Affine Transformation Inputs in an Activation Function (2019) (40)
A survey on active noise control in the past decade - Part I: Linear systems (2021) (40)
Robust Constrained Adaptive Filtering Under Minimum Error Entropy Criterion (2018) (39)
Kernel minimum error entropy algorithm (2013) (39)
A survey on active noise control in the past decade-Part II: Nonlinear systems (2021) (38)
Learning Nonlinear Generative Models of Time Series With a Kalman Filter in RKHS (2014) (36)
Robust Power System State Estimation With Minimum Error Entropy Unscented Kalman Filter (2020) (36)
An adaptive kernel width update method of correntropy for channel estimation (2015) (36)
Smoothed least mean p-power error criterion for adaptive filtering (2015) (35)
Sparseness-Controlled Proportionate Affine Projection Sign Algorithms for Acoustic Echo Cancellation (2015) (35)
A novel sign adaptation scheme for convex combination of two adaptive filters (2015) (34)
An adaptive kernel width update for correntropy (2012) (34)
M-Estimate Based Normalized Subband Adaptive Filter Algorithm: Performance Analysis and Improvements (2020) (34)
Kernel Kalman Filtering With Conditional Embedding and Maximum Correntropy Criterion (2019) (33)
Collaborative adaptive Volterra filters for nonlinear system identification in α-stable noise environments (2016) (32)
Robust Matrix Completion via Maximum Correntropy Criterion and Half-Quadratic Optimization (2019) (32)
Quantized Minimum Error Entropy Criterion (2017) (32)
Linear and Nonlinear Regression-Based Maximum Correntropy Extended Kalman Filtering (2021) (31)
A robust band-dependent variable step size NSAF algorithm against impulsive noises (2016) (30)
Kernel adaptive filtering under generalized Maximum Correntropy Criterion (2016) (30)
Time series prediction using kernel adaptive filter with least mean absolute third loss function (2017) (29)
Sparse normalized subband adaptive filter algorithm with l0-norm constraint (2016) (29)
A Separable Maximum Correntropy Adaptive Algorithm (2020) (29)
Correntropy Maximization via ADMM: Application to Robust Hyperspectral Unmixing (2016) (29)
Robust proportionate adaptive filter based on maximum correntropy criterion for sparse system identification in impulsive noise environments (2018) (28)
Maximum Correntropy Criterion-Based Sparse Subspace Learning for Unsupervised Feature Selection (2019) (28)
Deep Weighted Extreme Learning Machine (2018) (28)
A switch kernel width method of correntropy for channel estimation (2015) (28)
Building Up a Robust Risk Mathematical Platform to Predict Colorectal Cancer (2017) (28)
Regularized correntropy criterion based semi-supervised ELM (2020) (27)
Insights into Entropy as a Measure of Multivariate Variability (2016) (27)
A novel extended kernel recursive least squares algorithm (2012) (27)
State space maximum correntropy filter (2017) (26)
Adaptive Inverse Control of Neural Spatiotemporal Spike Patterns With a Reproducing Kernel Hilbert Space (RKHS) Framework (2013) (26)
Online efficient learning with quantized KLMS and L1 regularization (2012) (26)
Robust Generalized Maximum Correntropy Criterion Algorithms for Active Noise Control (2020) (25)
Convergence performance analysis of an adaptive kernel width MCC algorithm (2017) (25)
Broad Learning System Based on Maximum Correntropy Criterion (2019) (25)
Heterogeneous Ensemble-Based Spike-Driven Few-Shot Online Learning (2022) (25)
General Mixed-Norm-Based Diffusion Adaptive Filtering Algorithm for Distributed Estimation Over Network (2017) (24)
Maximum Total Correntropy Diffusion Adaptation Over Networks With Noisy Links (2018) (24)
Robust orthogonal nonnegative matrix tri-factorization for data representation (2020) (23)
Bias compensated zero attracting normalized least mean square adaptive filter and its performance analysis (2018) (23)
Robust echo state networks based on correntropy induced loss function (2017) (23)
Surface EMG Decoding for Hand Gestures Based on Spectrogram and CNN-LSTM (2019) (23)
Convex regularized recursive maximum correntropy algorithm (2016) (23)
Affine-Projection Lorentzian Algorithm for Vehicle Hands-Free Echo Cancellation (2021) (22)
Convergence of a Fixed-Point Minimum Error Entropy Algorithm (2015) (22)
Bias-compensated normalized maximum correntropy criterion algorithm for system identification with noisy input (2017) (22)
Two Improved Normalized Subband Adaptive Filter Algorithms with Good Robustness Against Impulsive Interferences (2015) (22)
State feedback controller design of networked control systems with time delay and packet dropout (2008) (21)
A New Robust Kalman Filter With Adaptive Estimate of Time-Varying Measurement Bias (2020) (21)
Kernel recursive generalized mixed norm algorithm (2017) (21)
Recursive Generalized Maximum Correntropy Criterion Algorithm with Sparse Penalty Constraints for System Identification (2017) (21)
Minimum Error Entropy Algorithms with Sparsity Penalty Constraints (2015) (20)
A contralateral channel guided model for EEG based motor imagery classification (2018) (19)
A correntropy inspired variable step-size sign algorithm against impulsive noises (2017) (19)
Sparse Least Logarithmic Absolute Difference Algorithm with Correntropy-Induced Metric Penalty (2016) (19)
Proportionate Minimum Error Entropy Algorithm for Sparse System Identification (2015) (19)
Robust Normalized Least Mean Absolute Third Algorithms (2019) (19)
Numerically stable minimum error entropy Kalman filter (2021) (19)
Accurate Pedestrian Detection by Human Pose Regression (2020) (19)
Nonlinear spline adaptive filtering under maximum correntropy criterion (2015) (18)
Common Spatial Patterns Based on the Quantized Minimum Error Entropy Criterion (2020) (18)
On the Smoothed Minimum Error Entropy Criterion (2012) (18)
A variable step-size adaptive algorithm under maximum correntropy criterion (2015) (17)
Convergence analysis of nonlinear Kalman filters with novel innovation-based method (2018) (17)
Robust Adaptive Volterra Filter Under Maximum Correntropy Criteria in Impulsive Environments (2017) (17)
Weakly Convex Regularized Robust Sparse Recovery Methods With Theoretical Guarantees (2019) (17)
Stochastic gradient identification of Wiener system with maximum mutual information criterion (2011) (17)
Correntropy based graph regularized concept factorization for clustering (2018) (17)
Correntropy-Based Multiview Subspace Clustering (2019) (17)
Adaptive recursive algorithm with logarithmic transformation for nonlinear system identification in α-stable noise (2015) (17)
Quantised kernel least mean square with desired signal smoothing (2015) (16)
Some Further Results on the Minimum Error Entropy Estimation (2012) (16)
Kernel Least Mean Kurtosis Based Online Chaotic Time Series Prediction (2013) (16)
Random fourier feature kernel recursive least squares (2017) (16)
Extended Kalman filter using a kernel recursive least squares observer (2011) (16)
EMG-Based Gestures Classification Using a Mixed-Signal Neuromorphic Processing System (2020) (16)
Fixed-Point Minimum Error Entropy With Fiducial Points (2020) (16)
Decentralized Dimensionality Reduction for Distributed Tensor Data Across Sensor Networks (2016) (16)
Adaptive filtering with quantized minimum error entropy criterion (2020) (16)
Robust adaptive sparse channel estimation in the presence of impulsive noises (2015) (15)
Point Set Registration With Similarity and Affine Transformations Based on Bidirectional KMPE Loss (2019) (15)
Proportionate NLMS With Unbiasedness Criterion for Sparse System Identification in the Presence of Input and Output Noises (2018) (15)
Robust Adaptive Algorithm for Smart Antenna System With $\alpha$ -Stable Noise (2018) (15)
Self-organizing kernel adaptive filtering (2016) (15)
Sparse kernel recursive least squares using L1 regularization and a fixed-point sub-iteration (2014) (15)
Variable Step-Size Widely Linear Complex-Valued Affine Projection Algorithm and Performance Analysis (2020) (15)
Δ-Entropy: Definition, properties and applications in system identification with quantized data (2011) (14)
An intelligent propagation distance estimation algorithm based on fundamental frequency energy distribution for periodic vibration localization (2017) (14)
Multivariate Correlation Entropy and Law Discovery in Large Data Sets (2018) (14)
On optimal estimations with minimum error entropy criterion (2010) (14)
Modeling and Control of Networked Control Systems (2006) (13)
Intelligent Scheduling Control of Networked Control Systems with Networked-induced Delay and Packet Dropout (2008) (13)
Correntropy induced joint power and admission control algorithm for dense small cell network (2016) (13)
Maximum correntropy adaptation approach for robust compressive sensing reconstruction (2019) (13)
Illumination Robust Color Naming via Label Propagation (2015) (13)
Kernel robust mixed-norm adaptive filtering (2014) (13)
Granger Causality Analysis Based on Quantized Minimum Error Entropy Criterion (2018) (13)
Associations between MSE and SSIM as cost functions in linear decomposition with application to bit allocation for sparse coding (2021) (13)
Exemplar-Guided Similarity Learning on Polynomial Kernel Feature Map for Person Re-identification (2017) (12)
Frequent Itemsets Mining With Differential Privacy Over Large-Scale Data (2018) (12)
Personalized gait trajectory generation based on anthropometric features using Random Forest (2019) (12)
An Adaptive Rapidly-Exploring Random Tree (2022) (12)
A Novel Mixture Distributions-Based Robust Kalman Filter for Cooperative Localization (2020) (12)
Robust nonnegative matrix factorization with local coordinate constraint for image clustering (2020) (12)
Linear Kalman Filtering Algorithm With Noisy Control Input Variable (2019) (12)
Effects of Outliers on the Maximum Correntropy Estimation: A Robustness Analysis (2021) (12)
Stabilization of networked control systems with time delay and packet dropout - part II (2007) (12)
Forced vibration analysis of multi-cracked Timoshenko beam with the inclusion of damping by virtue of Green’s functions (2019) (12)
Improved affine projection subband adaptive filter for high background noise environments (2017) (11)
Learning Proximal Operator Methods for Nonconvex Sparse Recovery with Theoretical Guarantee (2020) (11)
Intelligent Scheduling Controller Design for Networked Control Systems Based on Estimation of Distribution Algorithm (2008) (11)
A Novel Brain Decoding Method: A Correlation Network Framework for Revealing Brain Connections (2017) (11)
Hardware implementation of KLMS algorithm using FPGA (2014) (11)
Recursive least mean p-power Extreme Learning Machine (2017) (10)
Training Cascade Compact CNN With Region-IoU for Accurate Pedestrian Detection (2020) (10)
Low Complexity Distributed Max-Throughput Algorithm for User Association in Heterogeneous Network (2016) (10)
Functional Source Separation for EEG-fMRI Fusion: Application to Steady-State Visual Evoked Potentials (2019) (10)
Cubature Kalman Filter Under Minimum Error Entropy With Fiducial Points for INS/GPS Integration (2022) (10)
Stochastic Information Gradient Algorithm with Generalized Gaussian Distribution Model (2012) (10)
A Joint Stochastic Gradient Algorithm and Its Application to System Identification with RBF Networks (2006) (10)
Survival kernel with application to kernel adaptive filtering (2013) (10)
Multiple adaptive kernel size KLMS for Beijing PM2.5 prediction (2016) (10)
Mixture Correntropy-Based Kernel Extreme Learning Machines (2020) (9)
Efficient correntropy-based multi-view clustering with anchor graph embedding (2021) (9)
Robust High-Order Manifold Constrained Sparse Principal Component Analysis for Image Representation (2019) (9)
Asymmetric Correntropy for Robust Adaptive Filtering (2019) (9)
Incremental Adaptive EEG Classification of Motor Imagery-based BCI (2018) (9)
Robust digital non-linear self-interference cancellation in full duplex radios with maximum correntropy criterion (2016) (9)
Robust Sparsity-Aware RLS Algorithms With Jointly-Optimized Parameters Against Impulsive Noise (2022) (9)
Adaptive filtering under maximum mutual information criterion (2008) (9)
A Simple State Feedback Controller Design Method of Networked Control Systems with Time Delay and Pa (2008) (8)
Chebyshev Functional Link Artificial Neural Network Based on Correntropy Induced Metric (2018) (8)
Maximum Correntropy Criterion-Based Robust Semisupervised Concept Factorization for Image Representation (2019) (8)
A variable step-size SIG algorithm for realizing the optimal adaptive FIR filter (2011) (8)
Nonlinear Adaptive Filtering in Kernel Spaces (2014) (8)
A new interpretation on the MMSE as a robust MEE criterion (2010) (8)
Multikernel Correntropy for Robust Learning (2019) (8)
Risk-sensitive loss in kernel space for robust adaptive filtering (2015) (8)
Cooperative spectrum sensing in cognitive radio networks with Kernel Least Mean Square (2015) (8)
System Identification Under Information Divergence Criteria (2013) (8)
Sparsity Constrained Recursive Generalized Maximum Correntropy Criterion With Variable Center Algorithm (2020) (8)
Neuromorphic Implementation of a Recurrent Neural Network for EMG Classification (2020) (8)
Correntropy induced metric based common spatial patterns (2017) (8)
Set-membership improved normalised subband adaptive filter algorithms for acoustic echo cancellation (2015) (8)
Restricted Minimum Error Entropy Criterion for Robust Classification (2019) (8)
Sequential extreme learning machine incorporating survival error potential (2015) (7)
Sparse Normalized Least Mean Absolute Deviation Algorithm Based on Unbiasedness Criterion for System Identification With Noisy Input (2018) (7)
Adaptive filtering under minimum information divergence criterion (2009) (7)
Sparsity aware minimum error entropy algorithms (2015) (7)
Dual semi-supervised convex nonnegative matrix factorization for data representation (2021) (7)
RGB-D point cloud registration via infrared and color camera (2019) (7)
Measure observability by the generalized informational correlation (2007) (7)
Stabilization of networked control systems with time delay and packet dropout - part I (2007) (7)
A Novel Prognostic Approach for RUL Estimation With Evolving Joint Prediction of Continuous and Discrete States (2019) (7)
Sparse Recursive Least Mean p-Power Extreme Learning Machine for Regression (2018) (6)
Probability Density Rank-Based Quantization for Convex Universal Learning Machines (2020) (6)
Sparsity aware normalized least mean p-power algorithms with correntropy induced metric penalty (2015) (6)
Online robust echo state broad learning system (2021) (6)
A Novel Robust Kalman Filtering Framework Based on Normal-Skew Mixture Distribution (2021) (6)
Robustness of Maximum Correntropy Estimation Against Large Outliers (2017) (6)
Robust Adaptive Inverse Control Based on Maximum Correntropy Criterion (2015) (6)
Trimmed affine projection algorithms (2014) (6)
Extract EEG Features by Combining Power Spectral Density and Correntropy Spectral Density (2019) (6)
Kernel Online Learning Algorithm With Scale Adaptation (2018) (6)
Information evolutions in the linear stochastic control systems (2008) (6)
Bias‐compensated normalised least mean square with variable step size algorithm for three‐phase power system frequency estimation (2019) (5)
Generalized Maximum Correntropy-Based Echo State Network for Robust Nonlinear System Identification (2018) (5)
Robust High-Order Manifold Constrained Low Rank Representation for Subspace Clustering (2021) (5)
Robust Sparse Channel Estimation Based on Maximum Mixture Correntropy Criterion (2020) (5)
Least mean p-power extreme learning machine for obstacle avoidance of a mobile robot (2016) (5)
A novel spiking neural network of receptive field encoding with groups of neurons decision (2018) (5)
Chapter 24 - Information Based Learning (2014) (5)
Prediction of Human Voluntary Torques Based on Collaborative Neuromusculoskeletal Modeling and Adaptive Learning (2021) (5)
Partial Discharge Signal Denoising with Recursive Continuous S-Shaped Algorithm in Cables (2021) (5)
ADAPTIVE FILTERING WITH ADAPTIVE p-POWER ERROR CRITERION (2011) (5)
Efficient and Robust MultiView Clustering With Anchor Graph Regularization (2022) (5)
Information Theoretic Interpretation of Error Criteria (2009) (5)
Maximum Correntropy Adaptive Filtering Approach for Robust Compressive Sensing Reconstruction (2017) (5)
Robust Matching Pursuit Extreme Learning Machines (2018) (5)
Feature selection based on survival Cauchy-Schwartz mutual information (2014) (5)
Robust state of charge estimation for Li-ion batteries based on cubature kalman filter with generalized maximum correntropy criterion (2022) (5)
Robust stable iterated unscented Kalman filter based on maximum correntropy criterion (2022) (4)
Robust sparse nonnegative matrix factorization based on maximum correntropy criterion (2018) (4)
Square Root Unscented Kalman Filter With Modified Measurement for Dynamic State Estimation of Power Systems (2022) (4)
Kernel least mean square based on conjugate gradient (2017) (4)
Cascaded Random Fourier Filter for Robust Nonlinear Active Noise Control (2022) (4)
Bias-compensated normalized least mean absolute deviation algorithm with noisy input (2017) (4)
ECCA: Efficient Correntropy-Based Clustering Algorithm With Orthogonal Concept Factorization. (2022) (4)
Transductive Semisupervised Deep Hashing (2021) (4)
System Identification Based on Mutual Information Criteria (2013) (4)
KLMAT: A Kernel Least Mean Absolute Third Algorithm (2016) (4)
Proportionate adaptive filtering algorithms based on mixed square/fourth error criterion with unbiasedness criterion for sparse system identification (2018) (4)
Feature-Specific Denoising of Neural Activity for Natural Image Identification (2021) (3)
Kernel Adaptive Hammerstein Filter (2018) (3)
A reconfigurable parallel acceleration platform for evaluation of permutation entropy (2014) (3)
Improvement in EEG Source Imaging Accuracy by Means of Wavelet Packet Transform and Subspace Component Selection (2021) (3)
Robust diffusion recursive adaptive filtering algorithm based on l p -norm (2016) (3)
Robust Learning With Kernel Mean <inline-formula> <tex-math notation="LaTeX">$p$ </tex-math> </inline-formula>-Power Error Loss (2018) (3)
A survey on active noise control techniques - Part II: Nonlinear systems (2021) (3)
Variable-mixing parameter quantized kernel robust mixed-norm algorithms for combating impulsive interference (2015) (3)
Theoretical Methods in Machine Learning (2015) (3)
Associations among Image Assessments as Cost Functions in Linear Decomposition: MSE, SSIM, and Correlation Coefficient (2017) (3)
Cross multivariate correlation coefficients as screening tool for analysis of concurrent EEG‐fMRI recordings (2018) (3)
Region-Aware Network: Model Human's Top-Down Visual Perception Mechanism for Crowd Counting (2021) (3)
Reconstruction of Visual Image From Functional Magnetic Resonance Imaging Using Spiking Neuron Model (2018) (3)
BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information Bottleneck (2022) (3)
Mixed-Norm Based Broad Learning System for EEG Classification (2019) (3)
Quaternion least mean kurtosis algorithm for adaptive filtering of 3D and 4D signal processes (2017) (3)
Multi-style learning for adaptation of perception intelligence in home service robots (2021) (3)
Robust 2D point set matching with Kernel mean P-power error loss (2017) (3)
A Unified Framework of Random Feature KLMS Algorithms and Convergence Analysis (2018) (3)
State space least p-power filter (2017) (3)
Density-dependent quantized kernel least mean square (2016) (2)
Kernel adaptive filtering with confidence intervals (2013) (2)
General Robust Subband Adaptive Filtering: Algorithms and Applications (2022) (2)
Characteristics of EEG Microstate Sequences During Propofol-Induced Alterations of Brain Consciousness States (2022) (2)
Random Fourier Features Based Extended Kernel Recursive Least Squares with Application to fMRI Decoding (2018) (2)
Robust Locality Preserving Projection Based on Kernel Risk-Sensitive Loss (2018) (2)
Parameter identifiability with Kullback–Leibler information divergence criterion (2009) (2)
Partial Discharge Location Algorithm Based on Total Least-Squares With Matérn Kernel in Cable Systems (2023) (2)
Multi-View Information Bottleneck Without Variational Approximation (2022) (2)
Diffusion Adaptation Framework for Compressive Sensing Reconstruction (2017) (2)
MI3DNet: A Compact CNN for Motor Imagery EEG Classification with Visualizable Dense Layer Parameters (2020) (2)
Multi-kernel correntropy based extended Kalman filtering for state-of-charge estimation. (2022) (2)
Free Space Detection Using Stereo Confidence Metrics and Obstacle Position Probability Maps (2018) (2)
Robust strong tracking unscented Kalman filter for non-linear systems with unknown inputs (2022) (2)
Dual Extended Kalman Filter Under Minimum Error Entropy With Fiducial Points (2022) (2)
An Enhanced Hierarchical Extreme Learning Machine with Random Sparse Matrix Based Autoencoder (2019) (2)
Perturbation of Spike Timing Benefits Neural Network Performance on Similarity Search (2021) (2)
Information Theoretical Approach to Identification of Hybrid Systems (2008) (2)
Split-Stack 2D-CNN for Hand Gestures Recognition Based on Surface EMG Decoding (2020) (2)
Dual Graph Regularized Sparse Nonnegative Matrix Factorization for Data Representation (2019) (2)
Sex Difference of Saccade Patterns in Emotional Facial Expression Recognition (2016) (2)
Adaptive convex combination filter under minimum error entropy criterion (2016) (2)
Precise Point Set Registration Using Point-to-Plane Distance and Correntropy for LiDAR Based Localization (2018) (2)
Exploiting the categorical reliability difference for binary classification (2017) (2)
Robust diffusion maximum correntropy criterion algorithm for distributed network estimation (2015) (2)
Hybrid affine projection algorithm (2014) (2)
System Identification of UAV Based on EWC-LMS (2006) (2)
A real-time permutation entropy computation for EEG signals (2015) (2)
Joint UAVs’ Load Balancing and UEs’ Data Rate Fairness Optimization by Diffusion UAV Deployment Algorithm in Multi-UAV Networks (2021) (2)
Information Theoretic Interpretation of Error Criteria: Information Theoretic Interpretation of Error Criteria (2009) (1)
System Identification Under Minimum Error Entropy Criteria (2013) (1)
Augmented Space Linear Model (2018) (1)
Information Theoretic Parameter Estimation (2013) (1)
An Extended Result on the Optimal Estimation Under the Minimum Error Entropy Criterion (2014) (1)
Correntropy Based Divided Difference Filtering for the Positioning of Ships (2018) (1)
Precise Point Set Registration with Color Assisted and Correntropy for 3D Reconstruction (2018) (1)
Fairness constrained diffusion adaptive power control for dense small cell network (2018) (1)
Developing a robust colorectal cancer (CRC) risk predictive model with the big genetic and environment related CRC data (2016) (1)
Augmented Space Linear Models (2020) (1)
Comparison of cross-subject EEG emotion recognition algorithms in the BCI Controlled Robot Contest in World Robot Contest 2021 (2022) (1)
Causality detection with matrix-based transfer entropy (2022) (1)
Generalized Maximum Correntropy Kalman Filter for Target Tracking in TianGong-2 Space Laboratory (2022) (1)
Robust Motion Averaging under Maximum Correntropy Criterion (2020) (1)
Maximum Correntropy Criterion–Based Kernel Adaptive Filters (2018) (1)
Counting Varying Density Crowds Through Density Guided Adaptive Selection CNN and Transformer Estimation (2022) (1)
CAUSALITY ANALYSIS BASED ON MATRIX TRANSFER ENTROPY (2018) (1)
A dictionary updating scheme incorporating words elimination into Quantized Kernel Least-Mean-Squares for changing environments (2015) (1)
A Novel Normalized Sign Algorithm for System Identification Under Impulsive Noise Interference (2015) (1)
Adaptive FIR Filtering under Minimum Error/Input Information Criterion (2008) (1)
The Application of Minimum Entropy H Mixed Sensitivity to Flight Control (2006) (1)
Adaptive filtering for desired error distribution under minimum information divergence criterion (2008) (1)
Visualization and Characterization of the Flashing Spray of Cryogen R404a (2011) (1)
Study of General Robust Subband Adaptive Filtering (2022) (1)
A 128-way FPGA platform for the acceleration of KLMS algorithm (2015) (1)
Maximum Correntropy Criterion (2015) (1)
Empirical survival error potential weighted least squares for binary pattern classification (2014) (1)
A reconfigurable parallel FPGA accelerator for the kernel affine projection algorithm (2015) (1)
Adaptive Inverse Control under (h,ø)-Entropy Criterion (2006) (1)
An Incremental Self-Learning Algorithm with Robustness against Impulsive Noise (2018) (1)
Constrained least mean p-power error algorithm (2016) (1)
Augmented Nonlinear Least Squares Estimation With Applications to Localization (2022) (1)
2-D Learned Proximal Gradient Algorithm for Fast Sparse Matrix Recovery (2021) (1)
Recursive minimum kernel risk sensitive loss algorithm with adaptive gain factor for robust power system s estimation (2022) (1)
A parameter-free Cauchy-Schwartz information measure for independent component analysis (2016) (1)
STOCHASTIC INFORMATION GRADIENT ALGORITHM BASED ON MAXIMUM ENTROPY DENSITY ESTIMATION (2010) (1)
An Encoding Framework With Brain Inner State for Natural Image Identification (2019) (1)
Vector quantization using survival Cauchy-Schwartz divergence (2014) (1)
Aberrant temporal–spatial complexity of intrinsic fluctuations in major depression (2021) (1)
Two Improved Normalized Subband Adaptive Filter Algorithms with Good Robustness Against Impulsive Interferences (2016) (0)
Lightweight Generative Adversarial Networks Based on Ghost Module (2022) (0)
Combination of bias-compensated normalized LMS algorithm for system identification with noisy input (2017) (0)
Trimmed diffusion least mean squares for distributed estimation (2015) (0)
A New Normalized Subband Adaptive Filter Algorithm with Individual Variable Step Sizes (2015) (0)
Error Loss Networks (2021) (0)
Long-term scalp epileptic EEG quantification with GMA dynamics (2015) (0)
Robust Sparse Recovery via Weakly Convex Regularization (2018) (0)
On initial convergence behavior of the kernel least mean square algorithm (2015) (0)
Robust Subspace Clustering by Logarithmic Hyperbolic Cosine Function (2023) (0)
Building Correspondence Based on Matching Triangles for Partial Registration (2018) (0)
Steady-state mean square performance of a sparsified kernel least mean square algorithm (2017) (0)
Deep Intuition-Inspired Learning for Advancing Direct Training of Spiking Neural Network (2023) (0)
MaximumCorrentropyKalmanFilter ? (2016) (0)
RGB-D point cloud registration via infrared and color camera (2019) (0)
Robust proportionate adaptive filter based on maximum correntropy criterion for sparse system identification in impulsive noise environments (2017) (0)
Sparse Least Logarithmic Absolute Difference Algorithm with Correntropy-Induced Metric Penalty (2015) (0)
Robust anchor-based multi-view clustering via spectral embedded concept factorization (2023) (0)
Distributed optimization for consensus performance of delayed fractional-order double-integrator multi-agent systems (2022) (0)
A reconfigurable parallel FPGA accelerator for the adapt-then-combine diffusion LMS algorithm (2016) (0)
General Robust Subband Adaptive Filtering for Echo Cancellation (2022) (0)
SOC-based Droop Control and Coordination for Hybrid Energy Storage Systems (2022) (0)
A Reconfigurable Parallel Accelerator for Permutation Entropy (2015) (0)
Correntropy based semi-supervised concept factorization with adaptive neighbors for clustering (2022) (0)
Extended kernel Risk-Sensitive loss unscented Kalman filter based robust dynamic state estimation (2023) (0)
TheApplication ofMinlimum Entropy H0CMixedSensitivity toFlight Control (2006) (0)
Correntropy-Based Logistic Regression with Automatic Relevance Determination for Robust Sparse Brain Activity Decoding (2022) (0)
Sparse least mean p-power algorithms for channel estimation in the presence of impulsive noise (2015) (0)
Identification of Hammerstein Systems with Random Fourier Features and Kernel Risk Sensitive Loss (2023) (0)
Gate Recurrent Unit Network based on Hilbert-Schmidt Independence Criterion for State-of-Health Estimation (2023) (0)
An Information Bottleneck Approach for Multi-View Feature Selection (2023) (0)
Efficient and robust deep learning with Correntropy-induced loss function (2015) (0)
An Efficient Parameter Optimization of Maximum Correntropy Criterion (2023) (0)
Redefining and subtyping of major depression based on brain functional connectivity signatures with high generalization: an ensemble hybrid framework (2022) (0)
Partial Maximum Correntropy Regression for Robust Trajectory Decoding from Noisy Epidural Electrocorticographic Signals (2021) (0)
Mean-Square Performance Analysis of Noise-Robust Normalized Subband Adaptive Filter Algorithm (2017) (0)
Online Nonlinear Granger Causality Detection by Quantized Kernel Least Mean Square (2014) (0)
Adaptive sparseness for correntropy-based robust regression via automatic relevance determination (2023) (0)
A Note on the W-S Lower Bound of the MEE Estimation (2014) (0)
Chebyshev Functional Link Artificial Neural Network Based on Correntropy Induced Metric (2017) (0)
Fixed-Point Minimum Error Entropy With Sparsity Penalty Constraints (2021) (0)
Consistency-aware Shading Orders Selective Fusion for Intrinsic Image Decomposition (2018) (0)
Fairness constrained diffusion adaptive power control for dense small cell network (2017) (0)
An Efficient Distributed Kalman Filter Over Sensor Networks With Maximum Correntropy Criterion (2022) (0)
Exploring Brain Effective Connectivity in Visual Perception Using a Hierarchical Correlation Network (2019) (0)
Robust Adaptive Volterra Filter Under Maximum Correntropy Criteria in Impulsive Environments (2017) (0)
Robust Logistic Regression against Attribute and Label Outliers via Information Theoretic Learning (2019) (0)
A Normalized Mutual Information Estimator Compensating Variance Fluctuations for Motion Detection (2017) (0)
Visual Working Memory Biases the Perception of Ambiguous SFM (Structure-From-Motion) by Affecting the Representation in MT+ Cortex Delay Period (2017) (0)
Remaining Useful Life Estimation of Aero-Engines with Self-Joint Prediction of Continuous and Discrete States (2018) (0)
Robust Pose Estimation Based on Maximum Correntropy Criterion (2021) (0)
Composite Learning Based Fuzzy Control for Nonlinear Systems with Unknown Dead Zone (2016) (0)
Hypergraph based semi-supervised symmetric nonnegative matrix factorization for image clustering (2022) (0)
2 – Information Measures (2013) (0)
Robust state of charge estimation of lithium-ion battery via mixture kernel mean p-power error loss LSTM with heap-based-optimizer (2023) (0)
Sparseness-Controlled Proportionate Affine Projection Sign Algorithms for Acoustic Echo Cancellation (2015) (0)
3D-MBNet: Intention Based Multimodal Vehicle Trajectory Prediction with 3D Social Convolution (2022) (0)
Sparsity-Aware Recursive Maximum Correntropy Criteria Adaptive Filtering Algorithm (2015) (0)
Visual working memory affects the perception of ambiguous SFM (structure-from-motion) by enhance internally directed attention (2017) (0)
Towards a More Stable and General Subgraph Information Bottleneck (2023) (0)
Robust one-class classification with support vector data description and mixed exponential loss function (2023) (0)
Active noise control techniques for nonlinear systems (2021) (0)
Time series prediction using kernel adaptive filter with least mean absolute third loss function (2017) (0)
Efficient Nonlinear Adaptive Filters (2023) (0)
EEG channel selection based on sequential backward floating search for motor imagery classification (2022) (0)
Measuring observability by generalized information theoretic quantities (2008) (0)
Microwell array chip-based single-cell analysis. (2023) (0)
Exemplar-Guided Similarity Learning on Polynomial Kernel Feature Map for Person Re-identification (2017) (0)
Multiview Clustering via Hypergraph Induced Semi-supervised Symmetric Nonnegative Matrix Factorization (2023) (0)
fMRI Visual Image Reconstruction Using Sparse Logistic Regression with a Tunable Regularization Parameter (2015) (0)
Anchor-Graph Regularized Orthogonal Concept Factorization for Document Clustering (2023) (0)
Prognostics Estimations with Dynamic States (2018) (0)
Low Complexity Distributed Max-Throughput Algorithm for User Association in Heterogeneous Network (2015) (0)
Measuring the Couplings of MIMO Dynamic Systems: An Information-Theoretic Approach (2006) (0)
Exponential C-Loss for data fitting (2015) (0)
Set-membership versions of improved normalized subband adaptive filter algorithm for highly noisy system (2015) (0)
Finite-Horizon URTSS-Based Position Estimation for Urban Vehicle Localization (2023) (0)
Correntropy-Based Low-Rank Matrix Factorization With Constraint Graph Learning for Image Clustering. (2022) (0)
Complementary mean square deviation and stability analyses of the widely linear recursive least squares algorithm (2021) (0)
Sequential Invariant Information Bottleneck (2023) (0)
Kernel adaptive filtering subject to equality function constraints (2016) (0)
Mixture correntropy based robust multi-view K-means clustering (2022) (0)
Deep Weighted Extreme Learning Machine (2018) (0)
ADMM for maximum correntropy criterion (2016) (0)
Robust kernel adaptive filtering for nonlinear time series prediction (2023) (0)
Robust Fisher Linear Discriminant Analysis with Generalized Correntropic Loss Function (2020) (0)
Adversarial Training for the Adversarial Robustness of EEG-Based Brain-Computer Interfaces (2022) (0)
CANet: Contextual Information and Spatial Attention Based Network for Detecting Small Defects in Manufacturing Industry (2023) (0)
Decoding Multi-Class EEG Signals of Hand Movement Using Multivariate Empirical Mode Decomposition and Convolutional Neural Network (2022) (0)
A dictionary based survival error compensation for robust adaptive filtering (2016) (0)
Effective Emotion Recognition by Learning Discriminative Graph Topologies in EEG Brain Networks. (2023) (0)
Maximum Correntropy Kalman Filter (cid:63) (2016) (0)
Orthogonal Maximum Correntropy Learning (2022) (0)
Multimodal Perception and Secure State Estimation for Robotic Mobility Platforms (2022) (0)

This paper list is powered by the following services:

What Schools Are Affiliated With Badong Chen?

Badong Chen is affiliated with the following schools:

Xi'an Jiaotong University

Badong Chen's Academic­Influence.com Rankings

Why Is Badong Chen Influential?

Badong Chen's Published Works

Published Works

What Schools Are Affiliated With Badong Chen?

Badong Chen's AcademicInfluence.com Rankings