Chunguang Li

Neural Networks, 2025

2024

Ordinal Regression for Direction-Related Anomaly Detection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., May, 2024

Weighted subspace anomaly detection in high-dimensional space.

[BibT_eX]

[DOI]

Pattern Recognit., February, 2024

Privacy-Preserving Federated Learning Against Label-Flipping Attacks on Non-IID Data.

[BibT_eX]

[DOI]

IEEE Internet Things J., January, 2024

Partial Diffusion With Quantization Over Networks.

[BibT_eX]

[DOI]

Xiaoxian Lao

IEEE Trans. Signal Inf. Process. over Networks, 2024

Event-Triggered Distributed Estimation With Inter-Event Information Retrieval.

[BibT_eX]

[DOI]

Xiaoxian Lao

IEEE Trans. Signal Inf. Process. over Networks, 2024

Distributed Online Ordinal Regression Based on VUS Maximization.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2024

Distributed robust support vector ordinal regression under label noise.

[BibT_eX]

[DOI]

Neurocomputing, 2024

2023

Signal Power Estimation of All Sensor Network Nodes With Measurements From a Subset of Network Nodes.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., December, 2023

COMIRE: A Consistence-Based Mislabeled Instances Removal Method.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., June, 2023

PCNet: A structure similarity enhancement method for multispectral and multimodal image registration.

[BibT_eX]

[DOI]

Inf. Fusion, June, 2023

Meta-Self-Training Based on Teacher-Student Network for Industrial Label-Noise Fault Diagnosis.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2023

Low-Multi-Rank High-Order Bayesian Robust Tensor Factorization.

[BibT_eX]

[DOI]

Jianan Liu

CoRR, 2023

2022

Adaptive Hammerstein Filtering via Recursive Non-Convex Projection.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2022

Quantized Distributed Estimation With Adaptive Combiner.

[BibT_eX]

[DOI]

Xiaoxian Lao

Wenfei Du

IEEE Trans. Signal Inf. Process. over Networks, 2022

A Hybrid Algorithm Incorporating Vector Quantization and One-Class Support Vector Machine for Industrial Anomaly Detection.

[BibT_eX]

[DOI]

Jingxuan Pang

IEEE Trans. Ind. Informatics, 2022

Distributed Information-Theoretic Semisupervised Learning for Multilabel Classification.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Discrete Double-Bit Hashing.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2022

Distributed Support Vector Ordinal Regression over Networks.

[BibT_eX]

[DOI]

Entropy, 2022

On the Connection of Generative Models and Discriminative Models for Anomaly Detection.

[BibT_eX]

[DOI]

Jingxuan Pang

CoRR, 2022

2021

Online Semisupervised Broad Learning System for Industrial Fault Diagnosis.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2021

Probabilistic Information-Theoretic Discriminant Analysis for Industrial Label-Noise Fault Diagnosis.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2021

Distributed Semi-Supervised Learning With Missing Data.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

Equivalent Continuous Formulation of General Hashing Problem.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

PCNet: A Structure Similarity Enhancement Method for Multispectral and Multimodal Image Registration.

[BibT_eX]

[DOI]

CoRR, 2021

Distributed Ordinal Regression Over Networks.

[BibT_eX]

[DOI]

IEEE Access, 2021

2020

Sparse Robust Learning From Flipped Bits.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

Distributed Discrete Hashing by Equivalent Continuous Formulation.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2020

Boosting Structure Consistency for Multispectral and Multimodal Image Registration.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

2019

Distributed Robust Bayesian Filtering for State Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2019

Distributed Graph Hashing.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

Distributed Online One-Class Support Vector Machine for Anomaly Detection Over Networks.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

One-Bit Recursive Least-Squares Algorithm With Application to Distributed Target Localization.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2019

Distributed online quantile regression over networks with quantized communication.

[BibT_eX]

[DOI]

Heyu Wang

Lei Xia

Signal Process., 2019

Learn to Sense: A Meta-Learning-Based Sensing and Fusion Framework for Wireless Sensor Networks.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2019

Distributed Variational Bayesian Algorithms for Extended Object Tracking.

[BibT_eX]

[DOI]

CoRR, 2019

A Hybrid Data and Model Transfer Framework for Distributed Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019

2018

One-Bit Quantized Massive MIMO Detection Based on Variational Approximate Message Passing.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2018

Distributed Quantile Regression Over Sensor Networks.

[BibT_eX]

[DOI]

Heyu Wang

IEEE Trans. Signal Inf. Process. over Networks, 2018

Distributed Prediction via Adaptive Hammerstein Filter Over Networked Systems.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2018

Distributed Jointly Sparse Bayesian Learning With Quantized Communication.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2018

Normalized Total Gradient: A New Measure for Multispectral Image Registration.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2018

Distributed Jointly Sparse Multitask Learning Over Networks.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

Secure Distributed Estimation Over Wireless Sensor Networks Under Attacks.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2018

Distributed Stochastic Algorithm for Global Optimization in Networked System.

[BibT_eX]

[DOI]

J. Optim. Theory Appl., 2018

Distributed online semi-supervised support vector machine.

[BibT_eX]

[DOI]

Inf. Sci., 2018

Online semi-supervised support vector machine.

[BibT_eX]

[DOI]

Inf. Sci., 2018

2017

Recursive Least Squares for Censored Regression.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Reply to "Comments on 'Distributed Identification of the Most Critical Node for Average Consensus"'.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Efficient Photometric Stereo Using Kernel Regression.

[BibT_eX]

[DOI]

Tian-Qi Han

IEEE Trans. Image Process., 2017

Distributed Learning of Predictive Structures From Multiple Tasks Over Networks.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2017

Distributed Robust Optimization in Networked System.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2017

Variable forgetting factor mechanisms for diffusion recursive least squares algorithm in sensor networks.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2017

2016

Distributed Variational Bayesian Algorithms Over Sensor Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

L<sub>1</sub>-Norm Low-Rank Matrix Decomposition by Neural Networks and Mollifiers.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2016

Fast Multispectral Imaging by Spatial Pixel-Binning and Spectral Unmixing.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

Distributed TLS over multitask networks with adaptive intertask cooperation.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2016

Complex-valued Bayesian parameter estimation via Markov chain Monte Carlo.

[BibT_eX]

[DOI]

Inf. Sci., 2016

Outsourcing Eigen-Decomposition and Singular Value Decomposition of Large Matrix to a Public Cloud.

[BibT_eX]

[DOI]

Lifeng Zhou

IEEE Access, 2016

Distributed Active Learning.

[BibT_eX]

[DOI]

IEEE Access, 2016

Distributed Semi-Supervised Metric Learning.

[BibT_eX]

[DOI]

Xin Du

IEEE Access, 2016

A Review on Synergistic Learning.

[BibT_eX]

[DOI]

Yuke Li

IEEE Access, 2016

Low-complexity correlated time-averaged variable forgetting factor mechanism for diffusion RLS algorithm in sensor networks.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

2015

Minimum Total Error Entropy Method for Parameter Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

Distributed Censored Regression Over Networks.

[BibT_eX]

[DOI]

Yiguang Liu

IEEE Trans. Signal Process., 2015

Censored Regression With Noisy Input.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

Distributed Identification of the Most Critical Node for Average Consensus.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

Distributed Sparse Total Least-Squares Over Networks.

[BibT_eX]

[DOI]

Songyan Huang

IEEE Trans. Signal Process., 2015

A Random Algorithm for Low-Rank Decomposition of Large-Scale Matrices With Missing Entries.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2015

Model predictive flocking control for second-order multi-agent systems with input constraints.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. I Regul. Pap., 2015

Distributed Density Estimation Based on a Mixture of Factor Analyzers in a Sensor Network.

[BibT_eX]

[DOI]

Sensors, 2015

Distributed Vector Quantization Based on Kullback-Leibler Divergence.

[BibT_eX]

[DOI]

Luo Yiliang

Entropy, 2015

Distributed Extreme Learning Machine for Nonlinear Learning over Network.

[BibT_eX]

[DOI]

Songyan Huang

Entropy, 2015

Outsourcing Large-Scale Quadratic Programming to a Public Cloud.

[BibT_eX]

[DOI]

Lifeng Zhou

IEEE Access, 2015

2014

Distributed Information Theoretic Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2014

Distributed Sparse Recursive Least-Squares Over Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2014

Optimal topological design for distributed estimation over sensor networks.

[BibT_eX]

[DOI]

Cuili Yang

Wallace Kit-Sang Tang

Inf. Sci., 2014

Distributed Vector Quantization over Sensor Network.

[BibT_eX]

[DOI]

Luo Yiliang

Int. J. Distributed Sens. Networks, 2014

Soft Consistency Reconstruction: A robust 1-bit compressive sensing algorithm.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2014

2013

Diffusion Information Theoretic Learning for Distributed Estimation Over Network.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2013

Firing Rate Propagation Through Neuronal-Astrocytic Network.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2013

Complex-Valued Filtering Based on the Minimization of Complex-Error Entropy.

[BibT_eX]

[DOI]

Songyan Huang

Yiguang Liu

IEEE Trans. Neural Networks Learn. Syst., 2013

A Spike-Based Model of Neuronal Intrinsic Plasticity.

[BibT_eX]

[DOI]

Yuke Li

IEEE Trans. Auton. Ment. Dev., 2013

Bayesian mixtures of common factor analyzers: Model, variational inference, and applications.

[BibT_eX]

[DOI]

Xin Wei

Signal Process., 2013

KIMEL: A kernel incremental metalearning algorithm.

[BibT_eX]

[DOI]

Signal Process., 2013

A robust face and ear based multimodal biometric system using sparse representation.

[BibT_eX]

[DOI]

Pattern Recognit., 2013

Local Feature Extraction and Information Bottleneck-Based Segmentation of Brain Magnetic Resonance (MR) Images.

[BibT_eX]

[DOI]

Entropy, 2013

2012

Diffusion Sparse Least-Mean Squares Over Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2012

The infinite Student's t-mixture for robust modeling.

[BibT_eX]

[DOI]

Xin Wei

Signal Process., 2012

Distributed estimation over complex networks.

[BibT_eX]

[DOI]

Wallace Kit-Sang Tang

Inf. Sci., 2012

2011

k-NS: A Classifier by the Distance to the Nearest Subspace.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2011

A Model of Neuronal Intrinsic Plasticity.

[BibT_eX]

[DOI]

IEEE Trans. Auton. Ment. Dev., 2011

The Student's t -Hidden Markov Model With Truncated Stick-Breaking Priors.

[BibT_eX]

[DOI]

Xin Wei