Feng Yin

Orcid: 0000-0001-7851-9935

According to our database1, Feng Yin authored at least 151 papers between 1990 and 2024.

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

Timeline

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Bibliography

2024
Harmonized Landsat and Sentinel-2 Data with Google Earth Engine.
Remote. Sens., August, 2024

Instantaneous Rotation Speed Estimation Through Low-Cost Digital Imaging and Time-Frequency Analysis.
IEEE Trans. Ind. Informatics, May, 2024

Achieving Privacy-Preserving Location Management in LEO-Satellite Integrated Vehicular Network With Dense Ground Stations.
IEEE Trans. Veh. Technol., April, 2024

Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference.
IEEE Trans. Signal Process., 2024

A Secure Satellite-Edge Computing Framework for Collaborative Line Outage Identification in Smart Grid.
IEEE Trans. Serv. Comput., 2024

Lightweight Segmentation Neural Networks for Measuring Vickers Hardness.
IEEE Trans. Instrum. Meas., 2024

Inverse Design of Photonic Crystal Surface Emitting Lasers is a Sequence Modeling Problem.
CoRR, 2024

Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects.
CoRR, 2024

Preventing Model Collapse in Gaussian Process Latent Variable Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Graphical Multioutput Gaussian Process with Attention.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Bayesian-Boosted MetaLoc: Efficient Training and Guaranteed Generalization for Indoor Localization.
Proceedings of the IEEE International Conference on Acoustics, 2024

Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models.
Proceedings of the IEEE International Conference on Acoustics, 2024

Joint DOA Estimation and Distorted Sensor Detection Under Entangled Low-Rank and Row-Sparse Constraints.
Proceedings of the IEEE International Conference on Acoustics, 2024

Regularization-Based Efficient Continual Learning in Deep State-Space Models.
Proceedings of the 27th International Conference on Information Fusion, 2024

LMMSE-Aided WLLS Location Estimators for Source Localization with RSS Measurements.
Proceedings of the 27th International Conference on Information Fusion, 2024

ProAgent: Building Proactive Cooperative Agents with Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A two-space-decomposition-based evolutionary algorithm for large-scale multiobjective optimization.
Swarm Evol. Comput., December, 2023

Compressible spectral mixture kernels with sparse dependency structures for Gaussian processes.
Signal Process., December, 2023

MetaLoc: Learning to Learn Wireless Localization.
IEEE J. Sel. Areas Commun., December, 2023

3D Ultrasonic Brain Imaging with Deep Learning Based on Fully Convolutional Networks.
Sensors, October, 2023

Distributed Scaled Proximal ADMM Algorithms for Cooperative Localization in WSNs.
IEEE Trans. Signal Process., 2023

Automatic Vickers Hardness Measurement With Neural Network Segmentation.
IEEE Trans. Instrum. Meas., 2023

Data-adaptive M-estimators for robust regression via bi-level optimization.
Signal Process., 2023

A framework for millimeter-wave multi-user SLAM and its low-cost realization.
Signal Process., 2023

Attentional Graph Neural Networks for Robust Massive Network Localization.
CoRR, 2023

Gaussian Processes with Linear Multiple Kernel: Spectrum Design and Distributed Learning for Multi-Dimensional Data.
CoRR, 2023

ProAgent: Building Proactive Cooperative AI with Large Language Models.
CoRR, 2023

Combining multitemporal optical and SAR data for LAI imputation with BiLSTM network.
CoRR, 2023

Towards Flexibility and Interpretability of Gaussian Process State-Space Model.
CoRR, 2023

Edge intelligence-enabled supply chain financial model based on Business-to-Business e-business platforms.
Concurr. Comput. Pract. Exp., 2023

The Practice of Artificial Intelligence Education for Non-computer Science Majors in Universities.
Proceedings of the Computer Science and Education. Teaching and Curriculum, 2023

Output-Dependent Gaussian Process State-Space Model.
Proceedings of the IEEE International Conference on Acoustics, 2023

Overcoming Posterior Collapse in Variational Autoencoders Via EM-Type Training.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling.
IEEE Signal Process. Mag., 2022

Salient object detection based on global to local visual search guidance.
Signal Process. Image Commun., 2022

Linking Remote Sensing with APSIM through Emulation and Bayesian Optimization to Improve Yield Prediction.
Remote. Sens., 2022

Achieving Efficient and Secure Handover in LEO Constellation-Assisted Beyond 5G Networks.
IEEE Open J. Commun. Soc., 2022

The multi-mode operation decision of cleaning robot based on curriculum learning strategy and feedback network.
Neural Comput. Appl., 2022

Correction to: Geometric correction method for Tibetan woodcut document images.
Multim. Tools Appl., 2022

Geometric correction method for Tibetan woodcut document images.
Multim. Tools Appl., 2022

Tikhonov regularization with MTRSVD method for solving large-scale discrete ill-posed problems.
J. Comput. Appl. Math., 2022

Preconditioned TBiCOR and TCORS algorithms for solving the Sylvester tensor equation.
Appl. Math. Comput., 2022

A Secure and Privacy-Preserving Dynamic Aggregation Mechanism for V2G System.
Proceedings of the 19th Annual International Conference on Privacy, Security & Trust, 2022

Adaptive Gaussian Process Spectral Kernel Learning for 5G Wireless Traffic Prediction.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Fast Generic Interaction Detection for Model Interpretability and Compression.
Proceedings of the Tenth International Conference on Learning Representations, 2022

MetaLoc: Learning to Learn Indoor RSS Fingerprinting Localization over Multiple Scenarios.
Proceedings of the IEEE International Conference on Communications, 2022

ICASSP-SPGC 2022: Root Cause Analysis for Wireless Network Fault Localization.
Proceedings of the IEEE International Conference on Acoustics, 2022

Multitask Gaussian Process With Hierarchical Latent Interactions.
Proceedings of the IEEE International Conference on Acoustics, 2022

Gaussian Process Regression with Grid Spectral Mixture Kernel: Distributed Learning for Multidimensional Data.
Proceedings of the 25th International Conference on Information Fusion, 2022

Design and application of parallel intelligent control system for denitration system in coal-fired power plant.
Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2022

Top-k node identification method based on Gaussian plume model.
Proceedings of the 5th International Conference on Algorithms, 2022

2021
Blockchain-Based Privacy-Preserving Driver Monitoring for MaaS in the Vehicular IoT.
IEEE Trans. Veh. Technol., 2021

Exploiting Sparsity of Ranging Biases for NLOS Mitigation.
IEEE Trans. Signal Process., 2021

Privacy-Preserving Continuous Data Collection for Predictive Maintenance in Vehicular Fog-Cloud.
IEEE Trans. Intell. Transp. Syst., 2021

Privacy-Preserving Aggregation for Federated Learning-Based Navigation in Vehicular Fog.
IEEE Trans. Ind. Informatics, 2021

Multisource Wind Speed Fusion Method for Short-Term Wind Power Prediction.
IEEE Trans. Ind. Informatics, 2021

Data-Driven Wireless Communication Using Gaussian Processes.
CoRR, 2021

Achieving Blockchain-based Privacy-Preserving Location Proofs under Federated Learning.
Proceedings of the ICC 2021, 2021

Graph Neural Network for Large-Scale Network Localization.
Proceedings of the IEEE International Conference on Acoustics, 2021

A parallel intelligent control system and its industrial application.
Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

2020
Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series.
IEEE Trans. Signal Process., 2020

Bayesian Cooperative Localization Using Received Signal Strength With Unknown Path Loss Exponent: Message Passing Approaches.
IEEE Trans. Signal Process., 2020

Inland Lakes Mapping for Monitoring Water Quality Using a Detail/Smoothing-Balanced Conditional Random Field Based on Landsat-8/Levels Data.
Sensors, 2020

A Safe Charging Algorithm Based on Multiple Mobile Chargers.
Sensors, 2020

Ocean Surface Drifting Buoy System Based on UAV-Enabled Wireless Powered Relay Network.
Sensors, 2020

Validation of Space-Based Albedo Products from Upscaled Tower-Based Measurements Over Heterogeneous and Homogeneous Landscapes.
Remote. Sens., 2020

Different Force Fields Give Rise to Different Amyloid Aggregation Pathways in Molecular Dynamics Simulations.
J. Chem. Inf. Model., 2020

Optimally Combining Classifiers for Semi-Supervised Learning.
CoRR, 2020

FedLoc: Federated Learning Framework for Cooperative Localization and Location Data Processing.
CoRR, 2020

Scalable Learning Paradigms for Data-Driven Wireless Communication.
IEEE Commun. Mag., 2020

Operation Mode Decision of Indoor Cleaning Robot Based on Causal Reasoning and Attribute Learning.
IEEE Access, 2020

An Interpretable and Sample Efficient Deep Kernel for Gaussian Process.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Exact O(N<sup>2</sup>) Hyper-Parameter Optimization for Gaussian Process Regression.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Cleaning Robot Operation Decision Based on Causal Reasoning and Attribute Learning<sup>*</sup>.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Winter Wheat Yield Estimation at the Field Scale By Assimilating Sentinel-2 LAI into Crop Growth Model.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Exploiting Sparsity for Robust Sensor Network Localization in Mixed LOS/NLOS Environments.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Learning While Tracking: A Practical System Based on Variational Gaussian Process State-Space Model and Smartphone Sensory Data.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

2019
Cramér-Rao Bounds for Filtering Based on Gaussian Process State-Space Models.
IEEE Trans. Signal Process., 2019

A Novel Spatiotemporal Fuzzy Method for Modeling of Complex Distributed Parameter Processes.
IEEE Trans. Ind. Electron., 2019

Distributed Gaussian Processes Hyperparameter Optimization for Big Data Using Proximal ADMM.
IEEE Signal Process. Lett., 2019

On the choice of subspace for large-scale Tikhonov regularization problems in general form.
Numer. Algorithms, 2019

Efficient and distinctive binary descriptor for rotated circular image recognition.
Mach. Vis. Appl., 2019

Wireless Traffic Prediction With Scalable Gaussian Process: Framework, Algorithms, and Verification.
IEEE J. Sel. Areas Commun., 2019

Histological Study After Putting Different Lengths of Autologous Tendon to Reconstruct Anterior Cruciate Ligament.
J. Medical Imaging Health Informatics, 2019

DSLA: Dynamic Sampling Localization Algorithm Based on Virtual Anchor Node.
KSII Trans. Internet Inf. Syst., 2019

Energy Efficiency Maximization for Wirelessly Powered Sensor Networks With Energy Beamforming.
IEEE Commun. Lett., 2019

Gaussian Processes for Analyzing Positioned Trajectories in Sports.
CoRR, 2019

A General O(n<sup>2</sup>) Hyper-Parameter Optimization for Gaussian Process Regression with Cross-Validation and Non-linearly Constrained ADMM.
CoRR, 2019

Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series.
CoRR, 2019

How Effectively Can Indoor Wireless Positioning Relieve Visual Tracking Pains: A Camera-Rao Bound Viewpoint.
CoRR, 2019

UAV Hovering Strategy Based on a Wirelessly Powered Communication Network.
IEEE Access, 2019

Recursive Implementation of Gaussian Process Regression for Spatial-Temporal Data Modeling.
Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019

How Effectively can Indoor Wireless Positioning Relieve Visual Tracking Pains: A Cramer-Rao Bound Viewpoi.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Distributed Gaussian Process: New Paradigm and Application to Wireless Traffic Prediction.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Scalable Gaussian Process Using Inexact Admm for Big Data.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Sequential Monte Carlo Methods and Theoretical Bounds for Proximity Report Based Indoor Positioning.
IEEE Trans. Veh. Technol., 2018

A Fast Neighbor Discovery Algorithm in WSNs.
Sensors, 2018

Multi-task neural networks for joint hippocampus segmentation and clinical score regression.
Multim. Tools Appl., 2018

Fast Maximum Entropy Machine for Big Imbalanced Datasets.
J. Commun. Inf. Networks, 2018

Construction of Confidence Intervals for Distributed Parameter Processes Under Noise.
IEEE Access, 2018

A Sensor Invariant Atmospheric Correction Method for Satellite Images.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Online MEM Based Binary Classification Algorithm for China Mobile Imbalanced Dataset.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2018

Sparse Structure Enabled Grid Spectral Mixture Kernel for Temporal Gaussian Process Regression.
Proceedings of the 21st International Conference on Information Fusion, 2018

MDIS: A Node Localization Algorithm Based on Multi-region Division and Similarity Matching.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2018

2017
Received-Signal-Strength Threshold Optimization Using Gaussian Processes.
IEEE Trans. Signal Process., 2017

Online Spatiotemporal Extreme Learning Machine for Complex Time-Varying Distributed Parameter Systems.
IEEE Trans. Ind. Informatics, 2017

Stretchable, Highly Durable Ternary Nanocomposite Strain Sensor for Structural Health Monitoring of Flexible Aircraft.
Sensors, 2017

Distributed Recursive Gaussian Processes for RSS Map Applied to Target Tracking.
IEEE J. Sel. Top. Signal Process., 2017

Trajectory-Based Hierarchical Adaptive Forwarding in Vehicular Ad Hoc Networks.
J. Sensors, 2017

High-Accuracy Wireless Traffic Prediction: A GP-Based Machine Learning Approach.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016
On the choice of solution subspace for nonstationary iterated Tikhonov regularization.
Numer. Algorithms, 2016

Gaussian Process for Propagation Modeling and Proximity Reports Based Indoor Positioning.
Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016

Fundamental Bounds on Position Estimation Using Proximity Reports.
Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016

Similarity between existing position updating formulas and a unified and simplified formula in Particle Swarm Optimization.
Proceedings of the 12th International Conference on Natural Computation, 2016

Cooperative localization based on severely quantized RSS measurements in wireless sensor network.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Gaussian processes for flow modeling and prediction of positioned trajectories evaluated with sports data.
Proceedings of the 19th International Conference on Information Fusion, 2016

2015
Cooperative Localization in WSNs Using Gaussian Mixture Modeling: Distributed ECM Algorithms.
IEEE Trans. Signal Process., 2015

Particle filtering for positioning based on proximity reports.
Proceedings of the 18th International Conference on Information Fusion, 2015

Proximity report triggering threshold optimization for network-based indoor positioning.
Proceedings of the 18th International Conference on Information Fusion, 2015

Efficient cooperative localization algorithm in LOS/NLOS environments.
Proceedings of the 23rd European Signal Processing Conference, 2015

Dithering in quantized RSS based localization.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
EM- and JMAP-ML Based Joint Estimation Algorithms for Robust Wireless Geolocation in Mixed LOS/NLOS Environments.
IEEE Trans. Signal Process., 2014

The inverse eigenproblem with a submatrix constraint and the associated approximation problem for (R, S)-symmetric matrices.
J. Comput. Appl. Math., 2014

Twice Deployment Node Balance Algorithm for Road Network Surveillance.
Int. J. Distributed Sens. Networks, 2014

Data driven model mismatch detection based on statistical band of Markov parameters.
Comput. Electr. Eng., 2014

2013
TOA-Based Robust Wireless Geolocation and Cramér-Rao Lower Bound Analysis in Harsh LOS/NLOS Environments.
IEEE Trans. Signal Process., 2013

Left and right inverse eigenvalue problem of (R, S)-symmetric matrices and its optimal approximation problem.
Appl. Math. Comput., 2013

Robust cooperative sensor network localization via the EM criterion in LOS/NLOS environments.
Proceedings of the 14th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2013

Received signal strength-based joint parameter estimation algorithm for robust geolocation in LOS/NLOS environments.
Proceedings of the IEEE International Conference on Acoustics, 2013

RSS-based sensor network localization in contaminated Gaussian measurement noise.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012
Parametric Waveform Design Using Discrete Prolate Spheroidal Sequences for Enhanced Detection of Extended Targets.
IEEE Trans. Signal Process., 2012

An Iterative Algorithm for the Generalized Reflexive Solutions of the Generalized Coupled Sylvester Matrix Equations.
J. Appl. Math., 2012

An Iterative Algorithm for the Generalized Reflexive Solution of the Matrix Equations A X B = E, C X D = F.
J. Appl. Math., 2012

Inverse Kinematics Solution for Robot Manipulator based on Neural Network under Joint Subspace.
Int. J. Comput. Commun. Control, 2012

Hybrid chaos optimization algorithm with artificial emotion.
Appl. Math. Comput., 2012

Robust positioning in NLOS environments using nonparametric adaptive kernel density estimation.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Two-class support vector data description.
Pattern Recognit., 2011

An inverse eigenproblem and an associated approximation problem for generalized reflexive and anti-reflexive matrices.
J. Comput. Appl. Math., 2011

A novel hybrid electromagnetism-like algorithm for solving the inverse kinematics of robot.
Ind. Robot, 2011

Improved density-induced support vector data description.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Parametric waveform design for improved target detection.
Proceedings of the 19th European Signal Processing Conference, 2011

2010
Matrix inverse problem and its optimal approximation problem for R-skew symmetric matrices.
Appl. Math. Comput., 2010

Improved support vector data description.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

2009
A Grid Resource Management Mechanism Based on Dynamic Region.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

2007
The general solutions on the minimum residual problem and the matrix nearness problem for symmetric matrices or anti-symmetric matrices.
Appl. Math. Comput., 2007

Matrix inverse problem and its optimal approximation problem for R-symmetric matrices.
Appl. Math. Comput., 2007

Constrained inverse eigenproblem and associated approximation problem for anti-Hermitian R-symmetric matrices.
Appl. Math. Comput., 2007

Software Fault Localization Based on Testing Requirement and Program Slice.
Proceedings of the International Conference on Networking, 2007

FSCP: A Resource Space Model Based on Semantically Enabled P2P Grid.
Proceedings of the International MultiConference of Engineers and Computer Scientists 2007, 2007

2006
A Novel Unified SPM-ICA-PCA Method for Detecting Epileptic Activities in Resting-State fMRI.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006

1990
ESATM: An Experimental System For Analyzing The Tonality of Melodies.
Proceedings of the 1990 International Computer Music Conference, 1990


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