Dazi Li

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 28

Top Topics

Power Quality Disturbance

Temporal Difference

Reinforcement Learning

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Syst. Man Cybern. Syst.

Comput. Electr. Eng.

Publications

Xiao Wang, Dazi Li
Bioinspired actor-critic algorithm for reinforcement learning interpretation with Levy-Brown hybrid exploration strategy. Neurocomputing 574 (2024)
Dazi Li, Irfan Ali Channa, Xun Chen, Lia Dou, Suhail Khokhar, Nematollah Ab Azar
A new deep learning method for classification of power quality disturbances using DWT-MRA in utility smart grid. Comput. Electr. Eng. 117 (2024)
Caibo Dong, Dazi Li
Adaptive Evolutionary Reinforcement Learning with Policy Direction. Neural Process. Lett. 56 (2) (2024)
Dazi Li, Yanyang Bao, Xin Ma
Feature Reconstruction and Gated Recurrent Unit based Fault Diagnosis of Wind Turbines. SAFEPROCESS (2023)
Zhudan Chen, Dazi Li, Minghui Liu, Jun Liu
Graph neural networks with molecular segmentation for property prediction and structure-property relationship discovery. Comput. Chem. Eng. 179 (2023)
Irfan Ali Channa, Dazi Li
Detection and classification of power quality disturbances using STFT and deep neural Network. CSAI (2023)
Li Song, Dazi Li, Xin Xu
Sparse online maximum entropy inverse reinforcement learning via proximal optimization and truncated gradient. Knowl. Based Syst. 252 (2022)
Tianheng Song, Dazi Li, Xin Xu
Online Sparse Temporal Difference Learning Based on Nested Optimization and Regularized Dual Averaging. IEEE Trans. Syst. Man Cybern. Syst. 52 (4) (2022)
Kunfeng Wang, Yadong Wang, Shuqin Zhang, Yonglin Tian, Dazi Li
SLMS-SSD: Improving the balance of semantic and spatial information in object detection. Expert Syst. Appl. 206 (2022)
Li Song, Dazi Li, Xiao Wang, Xin Xu
AdaBoost maximum entropy deep inverse reinforcement learning with truncated gradient. Inf. Sci. 602 (2022)
Tianheng Song, Dazi Li, Weimin Yang, Kotaro Hirasawa
Recursive Least-Squares Temporal Difference With Gradient Correction. IEEE Trans. Cybern. 51 (8) (2021)
Dazi Li, Wenjie Yu, Kunfeng Wang, Daozhong Jiang, Qibing Jin
Speckle noise removal based on structural convolutional neural networks with feature fusion for medical image. Signal Process. Image Commun. 99 (2021)
Luntong Li, Dazi Li, Tianheng Song, Xin Xu
Actor-Critic Learning Control With Regularization and Feature Selection in Policy Gradient Estimation. IEEE Trans. Neural Networks Learn. Syst. 32 (3) (2021)
Jiahang Liu, Zhenhua Huang, Xin Xu, Xinglong Zhang, Shiliang Sun, Dazi Li
Multi-Kernel Online Reinforcement Learning for Path Tracking Control of Intelligent Vehicles. IEEE Trans. Syst. Man Cybern. Syst. 51 (11) (2021)
Tianheng Song, Dazi Li, Qibing Jin, Kotaro Hirasawa
Sparse Proximal Reinforcement Learning via Nested Optimization. IEEE Trans. Syst. Man Cybern. Syst. 50 (11) (2020)
Dazi Li, Mingjie Yan, Zhiwen Miao, Yue Fang, Jun Liu
LSTM Neural Network based Tensile Stress Prediction of Rubber Streching. ICNSC (2020)
Yu Pang, Limin Jia, Xuejia Zhang, Zhan Liu, Dazi Li
Design and implementation of automatic fault diagnosis system for wind turbine. Comput. Electr. Eng. 87 (2020)
Dazi Li, Jiang Wang
A Robust Adaptive Method Based on ESO for Trajectory Tracking of Robot Manipulator. ICCA (2019)
Li Song, Dazi Li, Zhi Sun
Research on Local Path Planning for the Mobile Robot Based on QL-anfis Algorithm. SSCI (2019)
Dazi Li, Chengjia Lei, Qibing Jin, Min Han
Regularization in DQN for Parameter-Varying Control Learning Tasks. ISNN (2) (2019)
Tianheng Song, Dazi Li, Zhiyin Liu, Weimin Yang
Online ADMM-Based Extreme Learning Machine for Sparse Supervised Learning. IEEE Access 7 (2019)
Dazi Li, Yuting Wang, Tianheng Song, Qibing Jin
An Adaptive Policy Evaluation Network Based on Recursive Least Squares Temporal Difference With Gradient Correction. IEEE Access 6 (2018)
Dazi Li, Tianjiao Kang, Jinglu Hu, Min Han, Qibing Jin
Quasi-Linear Recurrent Neural Network based Identification and Predictive Control. IJCNN (2018)
Luntong Li, Dazi Li, Tianheng Song, Xin Xu
-Regularized Temporal-Difference Prediction With Gradient Correction. IEEE Trans. Neural Networks Learn. Syst. 29 (12) (2018)
Xin Xu, Hong Chen, Chuanqiang Lian, Dazi Li
Learning-Based Predictive Control for Discrete-Time Nonlinear Systems With Stochastic Disturbances. IEEE Trans. Neural Networks Learn. Syst. 29 (12) (2018)
Luntong Li, Dazi Li, Tianheng Song
Sustainable ℓ2-regularized actor-critic based on recursive least-squares temporal difference learning. SMC (2017)
Tianheng Song, Dazi Li, Liulin Cao, Kotaro Hirasawa
Kernel-Based Least Squares Temporal Difference With Gradient Correction. IEEE Trans. Neural Networks Learn. Syst. 27 (4) (2016)
Dazi Li, Qianwen Xie, Qibing Jin, Kotaro Hirasawa
A sequential method using multiplicative extreme learning machine for epileptic seizure detection. Neurocomputing 214 (2016)
Dazi Li, Li Qian, Qibing Jin, Tianwei Tan
Reinforcement learning control with adaptive gain for a Saccharomyces cerevisiae fermentation process. Appl. Soft Comput. 11 (8) (2011)
Liulin Cao, Dazi Li, Chunyu Zhang, Haiyan Wu
Control and modeling of temperature distribution in a tubular polymerization process. Comput. Chem. Eng. 31 (11) (2007)