程成｜山东科技大学｜学者主页

2026

物联网环境下线路金具振动疲劳监测预警研究

李辰雷，何俊池，何守疆，程成，陈梦楠

《中国新技术新产品》

DOI

2026

基于谱聚类的随机子空间模态参数自动识别

胡志祥，程成，胥河阳，黄磊

《工程力学》

2026

集成出口回路监视的智能终端研究与应用

孙伟，王闰羿，程成，张政

《电工技术》

2026

深部强采动工作面卸压瓦斯全生命周期分阶段精准治理方法

孙宝强，龚选平，范晓刚，成小雨，杨鹏，肖露，程成，马兴莹

《工矿自动化》

DOI

2026

基于GA-SVR的瓦斯抽采纯量预测及自适应调控模型研究

成小雨，程成，安靖宇，周爱桃，艾子博，马兴莹

《中国矿业》

2026

管簧式起落架的代理模型与多目标优化

程成，张华

《机械设计与制造》

DOI

2026

智能瓦斯抽采负压的动态调控策略及效果研究

程成，成小雨，周爱桃，王东旭，孙永鑫，马兴莹

《中国矿业》

2026

基于多任务学习的无参考立体图像质量评价

张悦，程成，陈豪，顾敏明，夏振平

《微电子学与计算机》

DOI

2026

基于智能优化调控的主动配电网电压无功补偿方法

程成，程建军，邓方亮

《技术与市场》

2026

色彩饱和度对虚拟场景沉浸感知的影响研究及实验分析

韩启帅，夏振平，赵国辉，程成

《光电工程》

2026

A synergistic weight refocusing mechanism for few-shot class-incremental fault diagnosis of rotating machinery under varying operating conditions

Qingyi Lu, Dong Deng, Yaqiong Duan, Yong Zhang, Cheng Cheng, Bao-Kang Yan

Information Sciences

DOI

2026

Adaptive parameter optimization for turbine blade manufacturing: A novel personalized federated learning framework

Feng Guo, Yong Zhang, Cheng Cheng, Jiajun Zhang, Liyuan Shao

Journal of manufacturing systems

DOI

2026

Leveraging 5D platform and facilities management and control systems for smart disaster response in manufacturing: a case study in thailand’s coastal industries

Chuan-Min Chien, Trung Hieu Nguyen, Cheng Cheng, Chih-Shian Chen, Derek Yeh, Ren-He Wang

Journal of Ambient Intelligence and Humanized Computing

DOI

2025

基于物联网的环境监测系统设计与实现

程成

《产品可靠性报告》

2025

基于智能监测的输电线路螺栓状态实时监控方法

程成，石纯洁，王皓，赵恒杰，梁毅恒

《信息记录材料》

DOI

2025

面向电力巡检的蛇形机器人自适应控制方法研究

程成，戴国庆，徐启煌，贺瑞，徐凡

《自动化应用》

2025

智能变电站二次设备光模块寿命的分析与评估

张政，程成，孙伟，查晓锐，龚世敏

《电工技术》

DOI

2024

基于深度学习的工业产品表面缺陷检测方法研究

程成

《华北电力大学(北京)》

2024

A Quality Prediction and Parameter Optimization Approach for Turbine Blade Multistage Manufacturing

Qian-Jun Liu, V. Vassiliadis, Yudie Wu, Jiajun Zhang, Cheng Cheng, Ye Yuan

IEEE/ASME transactions on mechatronics

DOI

2023

Intelligent Fault Diagnosis With Noisy Labels via Semisupervised Learning on Industrial Time Series

Cheng Cheng, Xiaoyu Liu, Beitong Zhou, Ye Yuan

IEEE Transactions on Industrial Informatics

DOI

2023

Ermn: An Enhanced Meta-Learning Approach for State of Health Estimation of Lithium-Ion Batteries

Gui-Jun Ma, Xiaoran Yang, Songpei Xu, Cheng Cheng, Xin He

Social Science Research Network

DOI

2022

基于多路径特征提取的实时语义分割方法

程成，降爱莲

《计算机科学》

2022

Diagnosis of arrhythmias with few abnormal ECG samples using metric-based meta learning

Zhen-Xing Liu, Yujie Chen, Yong Zhang, Shaolin Ran, Cheng Cheng, Guili Yang

Comput. Biol. Medicine

DOI

2022

Homecare-Oriented ECG Diagnosis With Large-Scale Deep Neural Network for Continuous Monitoring on Embedded Devices

Shaolin Ran, Xiao-Yun Yang, Ming Liu, Yong Zhang, Cheng Cheng, Hong-Ling Zhu, Ye Yuan

IEEE Transactions on Instrumentation and Measurement

DOI

2022

Emotion recognition using heterogeneous convolutional neural networks combined with multimodal factorized bilinear pooling

Yong Zhang, Cheng Cheng, Shuai Wang, Tianqi Xia

Biomedical Signal Processing and Control

DOI

2022

A semi-supervised learning approach for COVID-19 detection from chest CT scans

Yong Zhang, Lide Su, Zhen-Xing Liu, W. Tan, Yinuo Jiang, Cheng Cheng

Neurocomputing

DOI

2022

EEG-Based Emotion Recognition Using Spatial-Temporal Graph Convolutional LSTM With Attention Mechanism

Lin Feng, Cheng Cheng, Ming-Yan Zhao, Huiyuan Deng, Yong Zhang

IEEE journal of biomedical and health informatics

DOI

2022

Multimodal emotion recognition based on manifold learning and convolution neural network

Yong Zhang, Cheng Cheng, Yidie Zhang

Multimedia tools and applications

DOI

2022

Multi-Domain Encoding of Spatiotemporal Dynamics in EEG for Emotion Recognition

Cheng Cheng, Yong Zhang, Luyao Liu, Wenzhe Liu, Lin Feng

IEEE journal of biomedical and health informatics

DOI

2022

Real-time personalized health status prediction of lithium-ion batteries using deep transfer learning

Gui-Jun Ma, Songpei Xu, Benben Jiang, Cheng Cheng, Xin Yang, Yue Shen, Tao Yang, Yunhui Huang, Han Ding, Ye Yuan

Energy & Environmental Science

DOI

2021

注意力Conv LSTM模型在RUL预测中的应用

程成，张贝克，高东，许欣

《小型微型计算机系统》

2021

Fault detection of lithium-ion battery packs with a graph-based method

Gui-Jun Ma, Songpei Xu, Cheng Cheng

Journal of Energy Storage

DOI

2021

Multimodal Emotion Recognition Using a Hierarchical Fusion Convolutional Neural Network

Yong Zhang, Cheng Cheng, Yidie Zhang

IEEE Access

DOI

2021

A Novel Cluster-Based Method for Single-channel Fetal Electrocardiogram Detection

Yang Hong, Hong-Ling Zhu, Xiao-Yun Yang, Cheng Cheng, Ye Yuan

Annual International Conference of the IEEE Engineering in Medicine and Biology Society

DOI

2020

基于深度学习的设备剩余寿命预测算法研究及其应用

程成

《北京化工大学》

2020

基于深度学习的地面苹果识别与计数

荆伟斌，胡海棠，程成，李存军，竞霞，郭治军

《江苏农业科学》

DOI

2020

Ensemble emotion recognizing with multiple modal physiological signals

Jing Zhang, Yong Zhang, S. Zhan, Cheng Cheng

arXiv.org

2020

Automatic Multi-Label ECG Diagnosis of Impulse or Conduction Abnormalities in Patients with Deep Learning Algorithm: A Cohort Study

Hong-Ling Zhu, Cheng Cheng, H. Yin, Xingyi Li, Ping Zuo, Jia Ding, Fan Lin, Jing-Yi Wang, Beitong Zhou, Yonge Li, Shouxing Hu, Yu-Long Xiong, Bin-Ran Wang, G. Wan, Xiao-Yun Yang, Ye Yuan

Social Science Research Network

DOI

2020

State of health estimation for lithium-ion batteries with dynamic time warping and deep kernel learning model

Pengchao Hu, Gui-Jun Ma, Yong Zhang, Cheng Cheng, Beitong Zhou, Ye Yuan

European Control Conference

DOI

2020

Degradation assessment of bearings with trend-reconstruct-based features selection and gated recurrent unit network

Lijun Xiao, Zhen-Xing Liu, Yong Zhang, Ying Zheng, Cheng Cheng

DOI

2020

Data Fusion Generative Adversarial Network for Multi-Class Imbalanced Fault Diagnosis of Rotating Machinery

Qian-Jun Liu, Gui-Jun Ma, Cheng Cheng

IEEE Access

DOI

2020

Automatic multilabel electrocardiogram diagnosis of heart rhythm or conduction abnormalities with deep learning: a cohort study.

Hong-Ling Zhu, Cheng Cheng, Hang Yin, Xingyi Li, Ping Zuo, Jia Ding, Fan Lin, Jing-Yi Wang, Beitong Zhou, Yonge Li, Shouxing Hu, Yu-Long Xiong, Bin-Ran Wang, G. Wan, Xiao-Yun Yang, Ye Yuan

The Lancet Digital Health

DOI

2020

Remaining Useful Life Prediction of Lithium-ion Battery based on Attention Mechanism with Positional Encoding

Beitong Zhou, Cheng Cheng, Gui-Jun Ma, Yong Zhang

IOP Conference Series: Materials Science and Engineering

DOI

2020

A Koopman operator approach for machinery health monitoring and prediction with noisy and low-dimensional industrial time series

Cheng Cheng, Jia Ding, Yong Zhang

Neurocomputing

DOI

2020

Remaining useful life prediction of lithium-ion batteries with adaptive unscented kalman filter and optimized support vector regression

Zhi-Wei Xue, Yong Zhang, Cheng Cheng, Gui-Jun Ma

Neurocomputing

DOI

2019

采空区瓦斯涌出的回采速度效应分析

程成，胡杰，龚选平，范宁

《中国安全生产科学技术》

2019

基于深度学习的苹果树侧视图果实识别

荆伟斌，李存军，竞霞，赵叶，程成

《中国农业信息》

2019

Generative Adversarial Network Based Multi-class Imbalanced Fault Diagnosis of Rolling Bearing

Qian-Jun Liu, Gui-Jun Ma, Cheng Cheng

International Conference on System Reliability and Safety

DOI

2019

A recurrent neural network approach for remaining useful life prediction utilizing a novel trend features construction method

Sen Zhao, Yong Zhang, Shan Wang, Beitong Zhou, Cheng Cheng

Measurement

DOI

2019

A GAN-Based Anomaly Detection Approach for Imbalanced Industrial Time Series

Wenqian Jiang, Yang Hong, Beitong Zhou, Xin He, Cheng Cheng

IEEE Access

DOI

2019

Artificial Intelligent Diagnosis and Monitoring in Manufacturing

Ye Yuan, Gui-Jun Ma, Cheng Cheng, Beitong Zhou, Huan Zhao, Hai-Tao Zhang, Han Ding

arXiv.org

2019

Multi-Channel Physiological Signal Emotion Recognition Based on ReliefF Feature Selection

Yong Zhang, Cheng Cheng, Tianzhen Chen

International Conference on Parallel and Distributed Systems

DOI

2019

Remaining useful life prediction of lithium-ion batteries based on false nearest neighbors and a hybrid neural network

Gui-Jun Ma, Yong Zhang, Cheng Cheng, Beitong Zhou, Pengchao Hu, Ye Yuan

Applied Energy

DOI

2019

Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis

Cheng Cheng, Beitong Zhou, Gui-Jun Ma, Dong-Rui Wu, Ye Yuan

Neurocomputing

DOI

2018

A general end-to-end diagnosis framework for manufacturing systems

Ye Yuan, Gui-Jun Ma, Cheng Cheng, Beitong Zhou, Huan Zhao, Hai-Tao Zhang, Han Ding

National Science Review

DOI

2018

Online Bearing Remaining Useful Life Prediction Based on a Novel Degradation Indicator and Convolutional Neural Networks

Cheng Cheng, Gui-Jun Ma, Yong Zhang, Mingyang Sun, F. Teng, Han Ding, Ye Yuan

arXiv.org

2018

A Deep Learning-Based Remaining Useful Life Prediction Approach for Bearings

Cheng Cheng, Gui-Jun Ma, Yong Zhang, Mingyang Sun, F. Teng, Han Ding, Ye Yuan

IEEE/ASME transactions on mechatronics

DOI

2017

基于深度学习的软件定义网络应用策略冲突检测方法

李传煌，程成，袁小雍，岑利杰，王伟明

《电信科学》

2017

试论物联网信息感知与交互技术

郭黎阳，柴跃林，邓巍，程成

《中国新通信》

2014

基于车联网及多信息融合的安全驾驶卫士

程成，黄江林，李琢乾

《电子科技》

2014

基于四元数视觉注意模型的肇事车辆匹配方法

徐航，臧笛，程成，张亚英

《计算机科学》

2013

中国食品安全与物联网

张妮妮，程成

《农业展望》

2012

改进型脉冲耦合神经网络在图像混合噪声中的应用研究

程成

《云南大学》

2011

单位超球面上的二元聚类算法

程成，萧蕴诗，岳继光

《控制与决策》

DOI

2010

一种基于单位超球面平均的盲反卷积方法

程成，萧蕴诗，岳继光

《控制与决策》

DOI

2009

一种基于判别随机场模型的联机行为识别方法

黄天羽，石崇德，李凤霞，程成

《计算机学报》

2009

眼动交互的实时线性算法构造和实现

程成，杜菁菁，蓝飞翔

《电子学报》

2002

虚拟装配中感知机制构造

程成

《软件学报》

1996

矿山安全新技术

周科平，程成

《采矿技术》

精选作品

期刊论文

物联网环境下线路金具振动疲劳监测预警研究

基于谱聚类的随机子空间模态参数自动识别

集成出口回路监视的智能终端研究与应用

深部强采动工作面卸压瓦斯全生命周期分阶段精准治理方法

基于GA-SVR的瓦斯抽采纯量预测及自适应调控模型研究

管簧式起落架的代理模型与多目标优化

智能瓦斯抽采负压的动态调控策略及效果研究

基于多任务学习的无参考立体图像质量评价

基于智能优化调控的主动配电网电压无功补偿方法

色彩饱和度对虚拟场景沉浸感知的影响研究及实验分析

A synergistic weight refocusing mechanism for few-shot class-incremental fault diagnosis of rotating machinery under varying operating conditions

Adaptive parameter optimization for turbine blade manufacturing: A novel personalized federated learning framework

Leveraging 5D platform and facilities management and control systems for smart disaster response in manufacturing: a case study in thailand’s coastal industries

基于物联网的环境监测系统设计与实现

基于智能监测的输电线路螺栓状态实时监控方法

面向电力巡检的蛇形机器人自适应控制方法研究

智能变电站二次设备光模块寿命的分析与评估

基于深度学习的工业产品表面缺陷检测方法研究

A Quality Prediction and Parameter Optimization Approach for Turbine Blade Multistage Manufacturing

Intelligent Fault Diagnosis With Noisy Labels via Semisupervised Learning on Industrial Time Series

Ermn: An Enhanced Meta-Learning Approach for State of Health Estimation of Lithium-Ion Batteries

基于多路径特征提取的实时语义分割方法

Diagnosis of arrhythmias with few abnormal ECG samples using metric-based meta learning

Homecare-Oriented ECG Diagnosis With Large-Scale Deep Neural Network for Continuous Monitoring on Embedded Devices

Emotion recognition using heterogeneous convolutional neural networks combined with multimodal factorized bilinear pooling

A semi-supervised learning approach for COVID-19 detection from chest CT scans

EEG-Based Emotion Recognition Using Spatial-Temporal Graph Convolutional LSTM With Attention Mechanism

Multimodal emotion recognition based on manifold learning and convolution neural network

Multi-Domain Encoding of Spatiotemporal Dynamics in EEG for Emotion Recognition

Real-time personalized health status prediction of lithium-ion batteries using deep transfer learning

注意力Conv LSTM模型在RUL预测中的应用

Fault detection of lithium-ion battery packs with a graph-based method

Multimodal Emotion Recognition Using a Hierarchical Fusion Convolutional Neural Network

A Novel Cluster-Based Method for Single-channel Fetal Electrocardiogram Detection

基于深度学习的设备剩余寿命预测算法研究及其应用

基于深度学习的地面苹果识别与计数

Ensemble emotion recognizing with multiple modal physiological signals

Automatic Multi-Label ECG Diagnosis of Impulse or Conduction Abnormalities in Patients with Deep Learning Algorithm: A Cohort Study

State of health estimation for lithium-ion batteries with dynamic time warping and deep kernel learning model

Degradation assessment of bearings with trend-reconstruct-based features selection and gated recurrent unit network

Data Fusion Generative Adversarial Network for Multi-Class Imbalanced Fault Diagnosis of Rotating Machinery

Automatic multilabel electrocardiogram diagnosis of heart rhythm or conduction abnormalities with deep learning: a cohort study.

Remaining Useful Life Prediction of Lithium-ion Battery based on Attention Mechanism with Positional Encoding

A Koopman operator approach for machinery health monitoring and prediction with noisy and low-dimensional industrial time series

Remaining useful life prediction of lithium-ion batteries with adaptive unscented kalman filter and optimized support vector regression

采空区瓦斯涌出的回采速度效应分析

基于深度学习的苹果树侧视图果实识别

Generative Adversarial Network Based Multi-class Imbalanced Fault Diagnosis of Rolling Bearing

A recurrent neural network approach for remaining useful life prediction utilizing a novel trend features construction method

A GAN-Based Anomaly Detection Approach for Imbalanced Industrial Time Series

Artificial Intelligent Diagnosis and Monitoring in Manufacturing

Multi-Channel Physiological Signal Emotion Recognition Based on ReliefF Feature Selection

Remaining useful life prediction of lithium-ion batteries based on false nearest neighbors and a hybrid neural network

Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis

A general end-to-end diagnosis framework for manufacturing systems

Online Bearing Remaining Useful Life Prediction Based on a Novel Degradation Indicator and Convolutional Neural Networks

A Deep Learning-Based Remaining Useful Life Prediction Approach for Bearings

基于深度学习的软件定义网络应用策略冲突检测方法

试论物联网信息感知与交互技术

基于车联网及多信息融合的安全驾驶卫士

基于四元数视觉注意模型的肇事车辆匹配方法

中国食品安全与物联网

改进型脉冲耦合神经网络在图像混合噪声中的应用研究

单位超球面上的二元聚类算法

一种基于单位超球面平均的盲反卷积方法

一种基于判别随机场模型的联机行为识别方法

眼动交互的实时线性算法构造和实现

虚拟装配中感知机制构造

矿山安全新技术

会议论文

Distance-based Autonomous Docking for UAV-MP in GPS-denied Environment

基于工业物联网的离散制造生产线预测性维护系统研究

Research on Multi-Robot Collaborative Transportation Control System

Synchronization of nonlinearly coupled complex networks under periodically intermittent pinning control

预印本

Spectral-Geometric Neural Fields for Pose-Free LiDAR View Synthesis

From Prediction to Perfection: Introducing Refinement to Autoregressive Image Generation

Activating Wider Areas in Image Super-Resolution