Kuo Li

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
Multi-Agent Reinforcement Learning With Decentralized Distribution Correction.
IEEE Trans Autom. Sci. Eng., 2025

2024
Learning Balanced Bayesian Classifiers From Labeled and Unlabeled Data.
IEEE Trans. Big Data, August, 2024

Integral Compensation Function Observer and Its Application to Disturbance-Rejection Control of QUAV Attitude.
IEEE Trans. Cybern., July, 2024

An OCBA-Based Method for Efficient Sample Collection in Reinforcement Learning.
IEEE Trans Autom. Sci. Eng., July, 2024

Dual Branch Masked Transformer for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2024

Learning high-dependence Bayesian network classifier with robust topology.
Expert Syst. Appl., 2024

Trajectory Planning for Autonomous Driving in Unstructured Scenarios Based on Graph Neural Network and Numerical Optimization.
CoRR, 2024

Constrained reinforcement learning with statewise projection: a control barrier function approach.
Sci. China Inf. Sci., 2024

BTR-RRT*: Biased Towards Path Reference Points Path Planning.
Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning, 2024

2023
IQ-VIO: adaptive visual inertial odometry via interference quantization under dynamic environments.
Intell. Serv. Robotics, November, 2023

Exploiting the implicit independence assumption for learning directed graphical models.
Intell. Data Anal., 2023

Learning bayesian multinets from labeled and unlabeled data for knowledge representation.
Intell. Data Anal., 2023

Resilient Distributed Parameter Estimation in Sensor Networks.
Proceedings of the American Control Conference, 2023

2022
DenseFilter: Feature Correspondence Filter Based on Dense Networks for VSLAM.
J. Intell. Robotic Syst., 2022

Identification of informational and probabilistic independence by adaptive thresholding.
Intell. Data Anal., 2022

Semi-supervised weighting for averaged one-dependence estimators.
Appl. Intell., 2022

Semi-supervised learning for k-dependence Bayesian classifiers.
Appl. Intell., 2022

Bridging Scenarios in Reinforcement Learning with Continuously Generated Relaying Predictive Models.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021
Deep Learning Approach in DOA Estimation: A Systematic Literature Review.
Mob. Inf. Syst., 2021

Decentralized Multi-Agent Reinforcement Learning: An Off-Policy Method.
CoRR, 2021

An Actor-Critic Method for Simulation-Based Optimization.
CoRR, 2021

2020
Heading angle estimation using rotating magnetometer for mobile robots under environmental magnetic disturbances.
Intell. Serv. Robotics, 2020

Decentralized Multi-agent Reinforcement Learning with Multi-time Scale of Decision Epochs.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2018
Epileptic Seizure Detection in Long-Term EEG Recordings by Using Wavelet-Based Directed Transfer Function.
IEEE Trans. Biomed. Eng., 2018

Automatic segmentation of stereoelectroencephalography (SEEG) electrodes post-implantation considering bending.
Int. J. Comput. Assist. Radiol. Surg., 2018

EEG-Based Detection of Epileptic Seizures Through the Use of a Directed Transfer Function Method.
IEEE Access, 2018

2016
The Removal of EOG Artifacts From EEG Signals Using Independent Component Analysis and Multivariate Empirical Mode Decomposition.
IEEE J. Biomed. Health Informatics, 2016

Epileptic Seizure Detection Based on Partial Directed Coherence Analysis.
IEEE J. Biomed. Health Informatics, 2016

Review of the Strain Modulation Methods Used in Fiber Bragg Grating Sensors.
J. Sensors, 2016

2014
Cerebral functional connectivity analysis based on scalp EEG in epilepsy patients.
Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014


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