Dazi Li

Orcid: 0000-0003-1610-6558

According to our database1, Dazi Li authored at least 31 papers between 2007 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
A novel label-aware global graph construction method and spiking-coded graph neural network for intelligent process fault diagnosis.
Neurocomputing, 2025

2024
Adaptive Evolutionary Reinforcement Learning with Policy Direction.
Neural Process. Lett., April, 2024

Bioinspired actor-critic algorithm for reinforcement learning interpretation with Levy-Brown hybrid exploration strategy.
Neurocomputing, March, 2024

A new deep learning method for classification of power quality disturbances using DWT-MRA in utility smart grid.
Comput. Electr. Eng., 2024

2023
Graph neural networks with molecular segmentation for property prediction and structure-property relationship discovery.
Comput. Chem. Eng., November, 2023

Detection and classification of power quality disturbances using STFT and deep neural Network.
Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence, 2023

Feature Reconstruction and Gated Recurrent Unit based Fault Diagnosis of Wind Turbines.
Proceedings of the CAA Symposium on Fault Detection, 2023

2022
Online Sparse Temporal Difference Learning Based on Nested Optimization and Regularized Dual Averaging.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Sparse online maximum entropy inverse reinforcement learning via proximal optimization and truncated gradient.
Knowl. Based Syst., 2022

AdaBoost maximum entropy deep inverse reinforcement learning with truncated gradient.
Inf. Sci., 2022

SLMS-SSD: Improving the balance of semantic and spatial information in object detection.
Expert Syst. Appl., 2022

2021
Multi-Kernel Online Reinforcement Learning for Path Tracking Control of Intelligent Vehicles.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Actor-Critic Learning Control With Regularization and Feature Selection in Policy Gradient Estimation.
IEEE Trans. Neural Networks Learn. Syst., 2021

Recursive Least-Squares Temporal Difference With Gradient Correction.
IEEE Trans. Cybern., 2021

Speckle noise removal based on structural convolutional neural networks with feature fusion for medical image.
Signal Process. Image Commun., 2021

2020
Sparse Proximal Reinforcement Learning via Nested Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Design and implementation of automatic fault diagnosis system for wind turbine.
Comput. Electr. Eng., 2020

LSTM Neural Network based Tensile Stress Prediction of Rubber Streching.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

2019
Online ADMM-Based Extreme Learning Machine for Sparse Supervised Learning.
IEEE Access, 2019

Research on Local Path Planning for the Mobile Robot Based on QL-anfis Algorithm.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Regularization in DQN for Parameter-Varying Control Learning Tasks.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

A Robust Adaptive Method Based on ESO for Trajectory Tracking of Robot Manipulator.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019

2018
Learning-Based Predictive Control for Discrete-Time Nonlinear Systems With Stochastic Disturbances.
IEEE Trans. Neural Networks Learn. Syst., 2018

Actor-Critic Learning Control Based on ℓ<sub>2</sub>-Regularized Temporal-Difference Prediction With Gradient Correction.
IEEE Trans. Neural Networks Learn. Syst., 2018

An Adaptive Policy Evaluation Network Based on Recursive Least Squares Temporal Difference With Gradient Correction.
IEEE Access, 2018

Quasi-Linear Recurrent Neural Network based Identification and Predictive Control.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Sustainable ℓ2-regularized actor-critic based on recursive least-squares temporal difference learning.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

2016
Kernel-Based Least Squares Temporal Difference With Gradient Correction.
IEEE Trans. Neural Networks Learn. Syst., 2016

A sequential method using multiplicative extreme learning machine for epileptic seizure detection.
Neurocomputing, 2016

2011
Reinforcement learning control with adaptive gain for a Saccharomyces cerevisiae fermentation process.
Appl. Soft Comput., 2011

2007
Control and modeling of temperature distribution in a tubular polymerization process.
Comput. Chem. Eng., 2007


  Loading...