Dazi Li

According to our database, Dazi Li authored at least 29 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adaptive Evolutionary Reinforcement Learning with Policy Direction.

Caibo Dong, Dazi Li

Neural Process. Lett., April, 2024

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

Xiao Wang, Dazi Li

Neurocomputing, March, 2024

2023

Graph neural networks with molecular segmentation for property prediction and structure-property relationship discovery.

Zhudan Chen, Dazi Li, Minghui Liu, Jun Liu

Comput. Chem. Eng., November, 2023

Detection and classification of power quality disturbances using STFT and deep neural Network.

Irfan Ali Channa, Dazi Li

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.

Dazi Li, Yanyang Bao, Xin Ma

Proceedings of the CAA Symposium on Fault Detection, 2023

2022

Online Sparse Temporal Difference Learning Based on Nested Optimization and Regularized Dual Averaging.

Tianheng Song, Dazi Li, Xin Xu

IEEE Trans. Syst. Man Cybern. Syst., 2022

Sparse online maximum entropy inverse reinforcement learning via proximal optimization and truncated gradient.

Li Song, Dazi Li, Xin Xu

Knowl. Based Syst., 2022

AdaBoost maximum entropy deep inverse reinforcement learning with truncated gradient.

Li Song, Dazi Li, Xiao Wang, Xin Xu

Inf. Sci., 2022

SLMS-SSD: Improving the balance of semantic and spatial information in object detection.

Kunfeng Wang, Yadong Wang, Shuqin Zhang, Yonglin Tian, Dazi Li

Expert Syst. Appl., 2022

2021

Multi-Kernel Online Reinforcement Learning for Path Tracking Control of Intelligent Vehicles.

Jiahang Liu, Zhenhua Huang, Xin Xu, Xinglong Zhang, Shiliang Sun, Dazi Li

IEEE Trans. Syst. Man Cybern. Syst., 2021

Actor-Critic Learning Control With Regularization and Feature Selection in Policy Gradient Estimation.

Luntong Li, Dazi Li, Tianheng Song, Xin Xu

IEEE Trans. Neural Networks Learn. Syst., 2021

Recursive Least-Squares Temporal Difference With Gradient Correction.

Tianheng Song, Dazi Li, Weimin Yang, Kotaro Hirasawa

IEEE Trans. Cybern., 2021

Speckle noise removal based on structural convolutional neural networks with feature fusion for medical image.

Dazi Li, Wenjie Yu, Kunfeng Wang, Daozhong Jiang, Qibing Jin

Signal Process. Image Commun., 2021

2020

Sparse Proximal Reinforcement Learning via Nested Optimization.

Tianheng Song, Dazi Li, Qibing Jin, Kotaro Hirasawa

IEEE Trans. Syst. Man Cybern. Syst., 2020

Design and implementation of automatic fault diagnosis system for wind turbine.

Yu Pang, Limin Jia, Xuejia Zhang, Zhan Liu, Dazi Li

Comput. Electr. Eng., 2020

LSTM Neural Network based Tensile Stress Prediction of Rubber Streching.

Dazi Li, Mingjie Yan, Zhiwen Miao, Yue Fang, Jun Liu

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

2019

Online ADMM-Based Extreme Learning Machine for Sparse Supervised Learning.

Tianheng Song, Dazi Li, Zhiyin Liu, Weimin Yang

IEEE Access, 2019

Research on Local Path Planning for the Mobile Robot Based on QL-anfis Algorithm.

Li Song, Dazi Li, Zhi Sun

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Regularization in DQN for Parameter-Varying Control Learning Tasks.

Dazi Li, Chengjia Lei, Qibing Jin, Min Han

Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

A Robust Adaptive Method Based on ESO for Trajectory Tracking of Robot Manipulator.

Dazi Li, Jiang Wang

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.

Xin Xu, Hong Chen, Chuanqiang Lian, Dazi Li

IEEE Trans. Neural Networks Learn. Syst., 2018

Actor-Critic Learning Control Based on ℓ₂-Regularized Temporal-Difference Prediction With Gradient Correction.

Luntong Li, Dazi Li, Tianheng Song, Xin Xu

IEEE Trans. Neural Networks Learn. Syst., 2018

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

Dazi Li, Yuting Wang, Tianheng Song, Qibing Jin

IEEE Access, 2018

Quasi-Linear Recurrent Neural Network based Identification and Predictive Control.

Dazi Li, Tianjiao Kang, Jinglu Hu, Min Han, Qibing Jin

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.

Luntong Li, Dazi Li, Tianheng Song

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

2016

Kernel-Based Least Squares Temporal Difference With Gradient Correction.

Tianheng Song, Dazi Li, Liulin Cao, Kotaro Hirasawa

IEEE Trans. Neural Networks Learn. Syst., 2016

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

Dazi Li, Qianwen Xie, Qibing Jin, Kotaro Hirasawa

Neurocomputing, 2016

2011

Reinforcement learning control with adaptive gain for a Saccharomyces cerevisiae fermentation process.

Dazi Li, Li Qian, Qibing Jin, Tianwei Tan

Appl. Soft Comput., 2011

2007

Control and modeling of temperature distribution in a tubular polymerization process.

Liulin Cao, Dazi Li, Chunyu Zhang, Haiyan Wu

Comput. Chem. Eng., 2007