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ORCIDDazi Li
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2020 – today
- 2025
[j23]Dazi Li, Yurui Zhu, Zhihuan Song, Hamid Reza Karimi:
A novel label-aware global graph construction method and spiking-coded graph neural network for intelligent process fault diagnosis. Neurocomputing 611: 128707 (2025)- 2024
- [j22]Dazi Li, Irfan Ali Channa
, Xun Chen, Liya 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: 109290 (2024) - [j21]Xiao Wang, Dazi Li:
Bioinspired actor-critic algorithm for reinforcement learning interpretation with Levy-Brown hybrid exploration strategy. Neurocomputing 574: 127291 (2024) - [j20]Caibo Dong, Dazi Li:
Adaptive Evolutionary Reinforcement Learning with Policy Direction. Neural Process. Lett. 56(2): 69 (2024) - 2023
- [j19]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: 108403 (2023) - [c8]Dazi Li, Yanyang Bao, Xin Ma:
Feature Reconstruction and Gated Recurrent Unit based Fault Diagnosis of Wind Turbines. SAFEPROCESS 2023: 1-6 - [c7]Irfan Ali Channa, Dazi Li:
Detection and classification of power quality disturbances using STFT and deep neural Network. CSAI 2023: 461-466 - 2022
- [j18]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: 117682 (2022) - [j17]Li Song, Dazi Li, Xiao Wang, Xin Xu:
AdaBoost maximum entropy deep inverse reinforcement learning with truncated gradient. Inf. Sci. 602: 328-350 (2022) - [j16]Li Song, Dazi Li, Xin Xu:
Sparse online maximum entropy inverse reinforcement learning via proximal optimization and truncated gradient. Knowl. Based Syst. 252: 109443 (2022) - [j15]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): 2042-2052 (2022) - 2021
- [j14]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: 116500 (2021) - [j13]Tianheng Song, Dazi Li, Weimin Yang, Kotaro Hirasawa:
Recursive Least-Squares Temporal Difference With Gradient Correction. IEEE Trans. Cybern. 51(8): 4251-4264 (2021) - [j12]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): 1217-1227 (2021) - [j11]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): 6962-6975 (2021) - 2020
- [j10]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: 106754 (2020) - [j9]Tianheng Song, Dazi Li, Qibing Jin, Kotaro Hirasawa:
Sparse Proximal Reinforcement Learning via Nested Optimization. IEEE Trans. Syst. Man Cybern. Syst. 50(11): 4020-4032 (2020) - [c6]Dazi Li, Mingjie Yan, Zhiwen Miao, Yue Fang, Jun Liu:
LSTM Neural Network based Tensile Stress Prediction of Rubber Streching. ICNSC 2020: 1-5
2010 – 2019
- 2019
- [j8]Tianheng Song, Dazi Li, Zhiyin Liu, Weimin Yang:
Online ADMM-Based Extreme Learning Machine for Sparse Supervised Learning. IEEE Access 7: 64533-64544 (2019) - [c5]Dazi Li, Jiang Wang:
A Robust Adaptive Method Based on ESO for Trajectory Tracking of Robot Manipulator. ICCA 2019: 506-511 - [c4]Dazi Li, Chengjia Lei, Qibing Jin, Min Han:
Regularization in DQN for Parameter-Varying Control Learning Tasks. ISNN (2) 2019: 35-44 - [c3]Li Song, Dazi Li, Zhi Sun:
Research on Local Path Planning for the Mobile Robot Based on QL-anfis Algorithm. SSCI 2019: 141-148 - 2018
- [j7]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: 7515-7525 (2018) - [j6]Luntong Li, Dazi Li, Tianheng Song, Xin Xu:
Actor-Critic Learning Control Based on ℓ2-Regularized Temporal-Difference Prediction With Gradient Correction. IEEE Trans. Neural Networks Learn. Syst. 29(12): 5899-5909 (2018) - [j5]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): 6202-6213 (2018) - [c2]Dazi Li, Tianjiao Kang, Jinglu Hu, Min Han, Qibing Jin:
Quasi-Linear Recurrent Neural Network based Identification and Predictive Control. IJCNN 2018: 1-6 - 2017
- [c1]Luntong Li, Dazi Li, Tianheng Song:
Sustainable ℓ2-regularized actor-critic based on recursive least-squares temporal difference learning. SMC 2017: 1886-1891 - 2016
- [j4]Dazi Li, Qianwen Xie, Qibing Jin, Kotaro Hirasawa:
A sequential method using multiplicative extreme learning machine for epileptic seizure detection. Neurocomputing 214: 692-707 (2016) - [j3]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): 771-782 (2016) - 2011
- [j2]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): 4488-4495 (2011)
2000 – 2009
- 2007
- [j1]Liulin Cao, Dazi Li, Chunyu Zhang, Haiyan Wu:
Control and modeling of temperature distribution in a tubular polymerization process. Comput. Chem. Eng. 31(11): 1516-1524 (2007)
Coauthor Index
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