Chengliang Liu

发表

Actual bearing compound fault diagnosis based on active learning and decoupling attentional residual network

Yixiang Huang, Yanrui Jin, Chengjin Qin, 2020 .

A novel Domain Adaptive Residual Network for automatic Atrial Fibrillation Detection

Yixiang Huang, Yanrui Jin, Chengjin Qin, 2020, Knowl. Based Syst..

An Improved Convolutional Neural Network Based Approach for Automated Heartbeat Classification

Yixiang Huang, Chengliang Liu, Xiaojun Chen, 2019, Journal of Medical Systems.

Manipulating Complex Robot Behavior for Autonomous and Continuous Operations

Liang Gong, Wei Zhang, Chengliang Liu, 2020 .

Multi-domain modeling of atrial fibrillation detection with twin attentional convolutional long short-term memory neural networks

Yixiang Huang, Yanrui Jin, Chengjin Qin, 2020, Knowl. Based Syst..

Unsupervised deep representation learning for motor fault diagnosis by mutual information maximization

Yixiang Huang, Chengjin Qin, Chengliang Liu, 2020, Journal of Intelligent Manufacturing.

Automated heartbeat classification based on deep neural network with multiple input layers

Chengjin Qin, Chengliang Liu, Haotian Shi, 2020, Knowl. Based Syst..

Training Feed-forward Neural Networks Using the Gradient Descent Method with the Optimal Stepsize

Liang Gong, Chengliang Liu, Fuqing Yuan, 2012 .

Toward Dependable Model-Driven Design of Low-Level Industrial Automation Control Systems

Valeriy Vyatkin, Chengliang Liu, Nan Zhou, 2022, IEEE Transactions on Automation Science and Engineering.

Exploration-efficient Deep Reinforcement Learning with Demonstration Guidance for Robot Control pdf

Liang Gong, Chengliang Liu, Junping Zhang, 2020, ArXiv.

A novel methodology to explain and evaluate data-driven building energy performance models based on interpretable machine learning

Fu Xiao, Chengliang Liu, Chengchu Yan, 2019, Applied Energy.

Outdoor Navigating Scene Labeling Using Importance Factor Based I-RELIEF and Feature Weighted Support Vector Machines

Chengliang Liu, Jun Tu, Zhong Hua Miao, 2014 .

A high-precision arrhythmia classification method based on dual fully connected neural network

Yixiang Huang, Chengjin Qin, Chengliang Liu, 2020, Biomed. Signal Process. Control..