Ke Guo

Orcid: 0000-0003-0764-9577

According to our database1, Ke Guo authored at least 47 papers between 2007 and 2024.

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

Timeline

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Bibliography

2024
Insights into unexpected relapse and recovery in HCV-infected patients by studying a stochastic within-host HCV model.
Appl. Math. Lett., March, 2024

Removal of Mixed Noise in Hyperspectral Images Based on Subspace Representation and Nonlocal Low-Rank Tensor Decomposition.
Sensors, January, 2024

Tensor recovery from binary measurements fused low-rankness and smoothness.
Signal Process., 2024

Lyapunov functionals for a virus dynamic model with general monotonic incidence, two time delays, CTL and antibody immune responses.
Appl. Math. Lett., 2024

LASIL: Learner-Aware Supervised Imitation Learning For Long-Term Microscopic Traffic Simulation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Causally Aware Generative Adversarial Networks for Light Pollution Control.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A hierarchical fine-grained classification approach for COVID-19 severity assessment based on CT images.
Comput. Electr. Eng., December, 2023

FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving.
CoRR, 2023

Long-term Microscopic Traffic Simulation with History-Masked Multi-agent Imitation Learning.
CoRR, 2023

The general chemostat model with multiple nutrients and flocculating agent: From deterministic behavior to stochastic forcing transition.
Commun. Nonlinear Sci. Numer. Simul., 2023

CCIL: Context-conditioned imitation learning for urban driving.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

TraCo: Learning Virtual Traffic Coordinator for Cooperation with Multi-Agent Reinforcement Learning.
Proceedings of the Conference on Robot Learning, 2023

2022
Hyperspectral Remote Sensing Inversion and Monitoring of Organic Matter in Black Soil Based on Dynamic Fitness Inertia Weight Particle Swarm Optimization Neural Network.
Remote. Sens., 2022

Existence of positive periodic solutions of a delayed periodic Microcystins degradation model with nonlinear functional responses.
Appl. Math. Lett., 2022

Hierarchical Structure-Feature Aware Graph Neural Network for Node Classification.
IEEE Access, 2022

End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
A Converter-Based Power System Stabilizer for Stability Enhancement of Droop-Controlled Islanded Microgrids.
IEEE Trans. Smart Grid, 2021

VR-ORCA: Variable Responsibility Optimal Reciprocal Collision Avoidance.
IEEE Robotics Autom. Lett., 2021

Permanence and extinction for a nonautonomous Kawasaki disease model with time delays.
Appl. Math. Lett., 2021

Study on the Construction and Application of Digital Twins on High Voltage Transmission Line Live Working Scenes.
IEEE Access, 2021

2020
Hyperspectral Unmixing Via Nonconvex Sparse and Low-Rank Constraint.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Convergence study on the logarithmic-quadratic proximal regularization of strictly contractive Peaceman-Rachford splitting method with larger step-size.
Int. J. Comput. Math., 2020

On global stability of the equilibria of an ordinary differential equation model of Kawasaki disease pathogenesis.
Appl. Math. Lett., 2020

Tensor-Based Low-Rank and Sparse Prior Information Constraints for Hyperspectral Image Denoising.
IEEE Access, 2020

An Improved Gray Wolf Optimizer MPPT Algorithm for PV System With BFBIC Converter Under Partial Shading.
IEEE Access, 2020

2019
Fast Hyperspectral Unmixing via Reweighted Sparse Regression.
IEICE Trans. Inf. Syst., 2019

Accelerated Symmetric ADMM and Its Applications in Signal Processing.
CoRR, 2019

A Family of Multi-Parameterized Proximal Point Algorithms.
IEEE Access, 2019

2018
A new constrained maximum margin approach to discriminative learning of Bayesian classifiers.
Frontiers Inf. Technol. Electron. Eng., 2018

Two-generation Pareto ant colony algorithm for multi-objective job shop scheduling problem with alternative process plans and unrelated parallel machines.
J. Intell. Manuf., 2018

A note on the Douglas-Rachford splitting method for optimization problems involving hypoconvex functions.
J. Glob. Optim., 2018

A VGI-based Foodborn Disease Report and Forecast System.
Proceedings of the 4th ACM SIGSPATIAL International Workshop on Safety and Resilience, 2018

Pedestrian Detection Based on Deep Neural Network in Video Surveillance.
Proceedings of the Communications, Signal Processing, and Systems, 2018

Survey of Big Data Application Technology on Multimedia Data of Public Security.
Proceedings of the Communications, Signal Processing, and Systems, 2018

A Gradient Invariant DCT-Based Image Watermarking Scheme for Object Detection.
Proceedings of the Communications, Signal Processing, and Systems, 2018

Detection of the Nonlinearity in Human ECG Physiological Signals.
Proceedings of the 11th International Congress on Image and Signal Processing, 2018

2017
Convergence Analysis of Douglas-Rachford Splitting Method for "Strongly + Weakly" Convex Programming.
SIAM J. Numer. Anal., 2017

An Anisotropic Diffusion-Based Dynamic Combined Energy Model for Seismic Denoising.
IEEE Geosci. Remote. Sens. Lett., 2017

Convergence of alternating direction method for minimizing sum of two nonconvex functions with linear constraints.
Int. J. Comput. Math., 2017

2016
Visualization of Fluoride Ions In Vivo Using a Gadolinium(III)-Coumarin Complex-Based Fluorescence/MRI Dual-Modal Probe.
Sensors, 2016

2015
Modelling and Simulation of Weft Knitted Fabric Based on Ball B-Spline Curves and Hooke's Law.
Proceedings of the International Conference on Cyberworlds, 2015

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

Study on the Detectability of the Sky-Surface Wave Hybrid Radar.
J. Appl. Math., 2014

2012
Parallel computing of covariance matrix and its application on hyperspectral data process.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

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

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

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


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