Dazi Li

39 papers A* 1B 2C 1Journal 30Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Reinforcement learning control for once-through boiler-turbine units based on mechanistic directed multi-subgraph integration.
Neurocomputing
Zilong Liu, Chiqiang Liu, Dazi Li
2026 J jnl
Reinforcement learning driven adaptive graph construction for fault diagnosis of chemical processes.
Reliab. Eng. Syst. Saf.
Caibo Dong, Dazi Li, Hamid Reza Karimi
2025 J jnl
A novel dynamic nonlinear non-Gaussian approach for fault detection and diagnosis.
Neurocomputing
Yihan Ma, Fei Ye, Dazi Li, Jinglin Zhou
2025 J jnl
A novel label-aware global graph construction method and spiking-coded graph neural network for intelligent process fault diagnosis.
Neurocomputing
Dazi Li, Yurui Zhu, Zhihuan Song, Hamid Reza Karimi
2025 J jnl
Adaptive generative adversarial maximum entropy inverse reinforcement learning.
Inf. Sci.
Li Song, Dazi Li, Xin Xu
2025 J jnl
Enhancing Graph Reconstruction: Uniting Dual-Level Graph Structure With Graph Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Dazi Li, Yanyang Bao, Xin Xu
2025 A* conf
HYGMA: Hypergraph Coordination Networks with Dynamic Grouping for Multi-Agent Reinforcement Learning.
ICML
Chiqiang Liu, Dazi Li
2025 J jnl
HYGMA: Hypergraph Coordination Networks with Dynamic Grouping for Multi-Agent Reinforcement Learning.
CoRR
Chiqiang Liu, Dazi Li
2025 J jnl
Local Neuron Analysis for Monitoring Dynamic Nonlinear Batch Processes.
IEEE Trans. Instrum. Meas.
Dazi Li, Weichen Hao, Zhijiang Lou
2024 J jnl
A new deep learning method for classification of power quality disturbances using DWT-MRA in utility smart grid.
Comput. Electr. Eng.
Dazi Li, Irfan Ali Channa, Xun Chen, Liya Dou, Suhail Khokhar, Nematollah Ab Azar
2024 J jnl
Adaptive Evolutionary Reinforcement Learning with Policy Direction.
Neural Process. Lett.
Caibo Dong, Dazi Li
2024 J jnl
Bioinspired actor-critic algorithm for reinforcement learning interpretation with Levy-Brown hybrid exploration strategy.
Neurocomputing
Xiao Wang, Dazi Li
2023 — conf
Detection and classification of power quality disturbances using STFT and deep neural Network.
CSAI
Irfan Ali Channa, Dazi Li
2023 C conf
Feature Reconstruction and Gated Recurrent Unit based Fault Diagnosis of Wind Turbines.
SAFEPROCESS
Dazi Li, Yanyang Bao, Xin Ma
2023 J jnl
Graph neural networks with molecular segmentation for property prediction and structure-property relationship discovery.
Comput. Chem. Eng.
Zhudan Chen, Dazi Li, Minghui Liu, Jun Liu
2022 J jnl
AdaBoost maximum entropy deep inverse reinforcement learning with truncated gradient.
Inf. Sci.
Li Song, Dazi Li, Xiao Wang, Xin Xu
2022 J jnl
Online Sparse Temporal Difference Learning Based on Nested Optimization and Regularized Dual Averaging.
IEEE Trans. Syst. Man Cybern. Syst.
Tianheng Song, Dazi Li, Xin Xu
2022 J jnl
SLMS-SSD: Improving the balance of semantic and spatial information in object detection.
Expert Syst. Appl.
Kunfeng Wang, Yadong Wang, Shuqin Zhang, Yonglin Tian, Dazi Li
2022 J jnl
Sparse online maximum entropy inverse reinforcement learning via proximal optimization and truncated gradient.
Knowl. Based Syst.
Li Song, Dazi Li, Xin Xu
2021 J jnl
Actor-Critic Learning Control With Regularization and Feature Selection in Policy Gradient Estimation.
IEEE Trans. Neural Networks Learn. Syst.
Luntong Li, Dazi Li, Tianheng Song, Xin Xu
2021 J jnl
Multi-Kernel Online Reinforcement Learning for Path Tracking Control of Intelligent Vehicles.
IEEE Trans. Syst. Man Cybern. Syst.
Jiahang Liu, Zhenhua Huang, Xin Xu, Xinglong Zhang, Shiliang Sun, Dazi Li
2021 J jnl
Recursive Least-Squares Temporal Difference With Gradient Correction.
IEEE Trans. Cybern.
Tianheng Song, Dazi Li, Weimin Yang, Kotaro Hirasawa
2021 J jnl
Speckle noise removal based on structural convolutional neural networks with feature fusion for medical image.
Signal Process. Image Commun.
Dazi Li, Wenjie Yu, Kunfeng Wang, Daozhong Jiang, Qibing Jin
2020 J jnl
Design and implementation of automatic fault diagnosis system for wind turbine.
Comput. Electr. Eng.
Yu Pang, Limin Jia, Xuejia Zhang, Zhan Liu, Dazi Li
2020 — conf
LSTM Neural Network based Tensile Stress Prediction of Rubber Streching.
ICNSC
Dazi Li, Mingjie Yan, Zhiwen Miao, Yue Fang, Jun Liu
2020 J jnl
Sparse Proximal Reinforcement Learning via Nested Optimization.
IEEE Trans. Syst. Man Cybern. Syst.
Tianheng Song, Dazi Li, Qibing Jin, Kotaro Hirasawa
2019 — conf
A Robust Adaptive Method Based on ESO for Trajectory Tracking of Robot Manipulator.
ICCA
Dazi Li, Jiang Wang
2019 J jnl
Online ADMM-Based Extreme Learning Machine for Sparse Supervised Learning.
IEEE Access
Tianheng Song, Dazi Li, Zhiyin Liu, Weimin Yang
2019 — conf
Regularization in DQN for Parameter-Varying Control Learning Tasks.
ISNN (2)
Dazi Li, Chengjia Lei, Qibing Jin, Min Han
2019 — conf
Research on Local Path Planning for the Mobile Robot Based on QL-anfis Algorithm.
SSCI
Li Song, Dazi Li, Zhi Sun
2018 J jnl
Actor-Critic Learning Control Based on ℓ
IEEE Trans. Neural Networks Learn. Syst.
Luntong Li, Dazi Li, Tianheng Song, Xin Xu
2018 J jnl
An Adaptive Policy Evaluation Network Based on Recursive Least Squares Temporal Difference With Gradient Correction.
IEEE Access
Dazi Li, Yuting Wang, Tianheng Song, Qibing Jin
2018 J jnl
Learning-Based Predictive Control for Discrete-Time Nonlinear Systems With Stochastic Disturbances.
IEEE Trans. Neural Networks Learn. Syst.
Xin Xu, Hong Chen, Chuanqiang Lian, Dazi Li
2018 B conf
Quasi-Linear Recurrent Neural Network based Identification and Predictive Control.
IJCNN
Dazi Li, Tianjiao Kang, Jinglu Hu, Min Han, Qibing Jin
2017 B conf
Sustainable ℓ2-regularized actor-critic based on recursive least-squares temporal difference learning.
SMC
Luntong Li, Dazi Li, Tianheng Song
2016 J jnl
A sequential method using multiplicative extreme learning machine for epileptic seizure detection.
Neurocomputing
Dazi Li, Qianwen Xie, Qibing Jin, Kotaro Hirasawa
2016 J jnl
Kernel-Based Least Squares Temporal Difference With Gradient Correction.
IEEE Trans. Neural Networks Learn. Syst.
Tianheng Song, Dazi Li, Liulin Cao, Kotaro Hirasawa
2011 J jnl
Reinforcement learning control with adaptive gain for a Saccharomyces cerevisiae fermentation process.
Appl. Soft Comput.
Dazi Li, Li Qian, Qibing Jin, Tianwei Tan
2007 J jnl
Control and modeling of temperature distribution in a tubular polymerization process.
Comput. Chem. Eng.
Liulin Cao, Dazi Li, Chunyu Zhang, Haiyan Wu