Chunguang Li

Orcid: 0000-0003-3147-1553

Affiliations:
  • Zhejiang University, College of Information Science and Electronic Engineering, Hangzhou, China


According to our database1, Chunguang Li authored at least 89 papers between 2011 and 2024.

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

Timeline

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Bibliography

2024
Weighted subspace anomaly detection in high-dimensional space.
Pattern Recognit., February, 2024

Privacy-Preserving Federated Learning Against Label-Flipping Attacks on Non-IID Data.
IEEE Internet Things J., January, 2024

Partial Diffusion With Quantization Over Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2024

Event-Triggered Distributed Estimation With Inter-Event Information Retrieval.
IEEE Trans. Signal Inf. Process. over Networks, 2024

2023
Signal Power Estimation of All Sensor Network Nodes With Measurements From a Subset of Network Nodes.
IEEE Trans. Aerosp. Electron. Syst., December, 2023

COMIRE: A Consistence-Based Mislabeled Instances Removal Method.
IEEE Trans. Neural Networks Learn. Syst., June, 2023

PCNet: A structure similarity enhancement method for multispectral and multimodal image registration.
Inf. Fusion, June, 2023

Meta-Self-Training Based on Teacher-Student Network for Industrial Label-Noise Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2023

Low-Multi-Rank High-Order Bayesian Robust Tensor Factorization.
CoRR, 2023

2022
Adaptive Hammerstein Filtering via Recursive Non-Convex Projection.
IEEE Trans. Signal Process., 2022

Quantized Distributed Estimation With Adaptive Combiner.
IEEE Trans. Signal Inf. Process. over Networks, 2022

A Hybrid Algorithm Incorporating Vector Quantization and One-Class Support Vector Machine for Industrial Anomaly Detection.
IEEE Trans. Ind. Informatics, 2022

Distributed Information-Theoretic Semisupervised Learning for Multilabel Classification.
IEEE Trans. Cybern., 2022

Discrete Double-Bit Hashing.
IEEE Trans. Big Data, 2022

Distributed Support Vector Ordinal Regression over Networks.
Entropy, 2022

On the Connection of Generative Models and Discriminative Models for Anomaly Detection.
CoRR, 2022

2021
Online Semisupervised Broad Learning System for Industrial Fault Diagnosis.
IEEE Trans. Ind. Informatics, 2021

Probabilistic Information-Theoretic Discriminant Analysis for Industrial Label-Noise Fault Diagnosis.
IEEE Trans. Ind. Informatics, 2021

Distributed Semi-Supervised Learning With Missing Data.
IEEE Trans. Cybern., 2021

Equivalent Continuous Formulation of General Hashing Problem.
IEEE Trans. Cybern., 2021

PCNet: A Structure Similarity Enhancement Method for Multispectral and Multimodal Image Registration.
CoRR, 2021

Distributed Ordinal Regression Over Networks.
IEEE Access, 2021

2020
Sparse Robust Learning From Flipped Bits.
IEEE Trans. Signal Process., 2020

Distributed Discrete Hashing by Equivalent Continuous Formulation.
IEEE Trans. Signal Inf. Process. over Networks, 2020

Boosting Structure Consistency for Multispectral and Multimodal Image Registration.
IEEE Trans. Image Process., 2020

2019
Distributed Robust Bayesian Filtering for State Estimation.
IEEE Trans. Signal Inf. Process. over Networks, 2019

Distributed Graph Hashing.
IEEE Trans. Cybern., 2019

Distributed Online One-Class Support Vector Machine for Anomaly Detection Over Networks.
IEEE Trans. Cybern., 2019

One-Bit Recursive Least-Squares Algorithm With Application to Distributed Target Localization.
IEEE Trans. Aerosp. Electron. Syst., 2019

Distributed online quantile regression over networks with quantized communication.
Signal Process., 2019

Learn to Sense: A Meta-Learning-Based Sensing and Fusion Framework for Wireless Sensor Networks.
IEEE Internet Things J., 2019

Distributed Variational Bayesian Algorithms for Extended Object Tracking.
CoRR, 2019

A Hybrid Data and Model Transfer Framework for Distributed Machine Learning.
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.
IEEE Trans. Signal Process., 2018

Distributed Quantile Regression Over Sensor Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2018

Distributed Prediction via Adaptive Hammerstein Filter Over Networked Systems.
IEEE Trans. Signal Inf. Process. over Networks, 2018

Distributed Jointly Sparse Bayesian Learning With Quantized Communication.
IEEE Trans. Signal Inf. Process. over Networks, 2018

Normalized Total Gradient: A New Measure for Multispectral Image Registration.
IEEE Trans. Image Process., 2018

Distributed Jointly Sparse Multitask Learning Over Networks.
IEEE Trans. Cybern., 2018

Secure Distributed Estimation Over Wireless Sensor Networks Under Attacks.
IEEE Trans. Aerosp. Electron. Syst., 2018

Distributed Stochastic Algorithm for Global Optimization in Networked System.
J. Optim. Theory Appl., 2018

Distributed online semi-supervised support vector machine.
Inf. Sci., 2018

Online semi-supervised support vector machine.
Inf. Sci., 2018

2017
Recursive Least Squares for Censored Regression.
IEEE Trans. Signal Process., 2017

Reply to "Comments on 'Distributed Identification of the Most Critical Node for Average Consensus"'.
IEEE Trans. Signal Process., 2017

Efficient Photometric Stereo Using Kernel Regression.
IEEE Trans. Image Process., 2017

Distributed Learning of Predictive Structures From Multiple Tasks Over Networks.
IEEE Trans. Ind. Electron., 2017

Distributed Robust Optimization in Networked System.
IEEE Trans. Cybern., 2017

Variable forgetting factor mechanisms for diffusion recursive least squares algorithm in sensor networks.
EURASIP J. Adv. Signal Process., 2017

2016
Distributed Variational Bayesian Algorithms Over Sensor Networks.
IEEE Trans. Signal Process., 2016

L<sub>1</sub>-Norm Low-Rank Matrix Decomposition by Neural Networks and Mollifiers.
IEEE Trans. Neural Networks Learn. Syst., 2016

Fast Multispectral Imaging by Spatial Pixel-Binning and Spectral Unmixing.
IEEE Trans. Image Process., 2016

Distributed TLS over multitask networks with adaptive intertask cooperation.
IEEE Trans. Aerosp. Electron. Syst., 2016

Complex-valued Bayesian parameter estimation via Markov chain Monte Carlo.
Inf. Sci., 2016

Outsourcing Eigen-Decomposition and Singular Value Decomposition of Large Matrix to a Public Cloud.
IEEE Access, 2016

Distributed Active Learning.
IEEE Access, 2016

Distributed Semi-Supervised Metric Learning.
IEEE Access, 2016

A Review on Synergistic Learning.
IEEE Access, 2016

Low-complexity correlated time-averaged variable forgetting factor mechanism for diffusion RLS algorithm in sensor networks.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

2015
Minimum Total Error Entropy Method for Parameter Estimation.
IEEE Trans. Signal Process., 2015

Distributed Censored Regression Over Networks.
IEEE Trans. Signal Process., 2015

Censored Regression With Noisy Input.
IEEE Trans. Signal Process., 2015

Distributed Identification of the Most Critical Node for Average Consensus.
IEEE Trans. Signal Process., 2015

Distributed Sparse Total Least-Squares Over Networks.
IEEE Trans. Signal Process., 2015

A Random Algorithm for Low-Rank Decomposition of Large-Scale Matrices With Missing Entries.
IEEE Trans. Image Process., 2015

Model predictive flocking control for second-order multi-agent systems with input constraints.
IEEE Trans. Circuits Syst. I Regul. Pap., 2015

Distributed Density Estimation Based on a Mixture of Factor Analyzers in a Sensor Network.
Sensors, 2015

Distributed Vector Quantization Based on Kullback-Leibler Divergence.
Entropy, 2015

Distributed Extreme Learning Machine for Nonlinear Learning over Network.
Entropy, 2015

Outsourcing Large-Scale Quadratic Programming to a Public Cloud.
IEEE Access, 2015

2014
Distributed Information Theoretic Clustering.
IEEE Trans. Signal Process., 2014

Distributed Sparse Recursive Least-Squares Over Networks.
IEEE Trans. Signal Process., 2014

Optimal topological design for distributed estimation over sensor networks.
Inf. Sci., 2014

Distributed Vector Quantization over Sensor Network.
Int. J. Distributed Sens. Networks, 2014

Soft Consistency Reconstruction: A robust 1-bit compressive sensing algorithm.
Proceedings of the IEEE International Conference on Communications, 2014

2013
Diffusion Information Theoretic Learning for Distributed Estimation Over Network.
IEEE Trans. Signal Process., 2013

Firing Rate Propagation Through Neuronal-Astrocytic Network.
IEEE Trans. Neural Networks Learn. Syst., 2013

Complex-Valued Filtering Based on the Minimization of Complex-Error Entropy.
IEEE Trans. Neural Networks Learn. Syst., 2013

A Spike-Based Model of Neuronal Intrinsic Plasticity.
IEEE Trans. Auton. Ment. Dev., 2013

Bayesian mixtures of common factor analyzers: Model, variational inference, and applications.
Signal Process., 2013

KIMEL: A kernel incremental metalearning algorithm.
Signal Process., 2013

A robust face and ear based multimodal biometric system using sparse representation.
Pattern Recognit., 2013

Local Feature Extraction and Information Bottleneck-Based Segmentation of Brain Magnetic Resonance (MR) Images.
Entropy, 2013

2012
Diffusion Sparse Least-Mean Squares Over Networks.
IEEE Trans. Signal Process., 2012

The infinite Student's t-mixture for robust modeling.
Signal Process., 2012

Distributed estimation over complex networks.
Inf. Sci., 2012

2011
k-NS: A Classifier by the Distance to the Nearest Subspace.
IEEE Trans. Neural Networks, 2011

A Model of Neuronal Intrinsic Plasticity.
IEEE Trans. Auton. Ment. Dev., 2011

The Student's t -Hidden Markov Model With Truncated Stick-Breaking Priors.
IEEE Signal Process. Lett., 2011


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