2023年代表性论文
[1] 周晓锋, 翟乃举, 李帅, 史海波. Time Series Prediction Method of Industrial Process with Limited Data Based on Transfer Learning. IEEE Transactions on Industrial Informatics[J], 2023
[2] 翟乃举, 周晓锋, 李帅, 史海波. Soft Sensor Model for Billet Temperature in Multiple Heating Furnaces Based on Transfer Learning. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT[J], 2023
[3] 詹飞, 周晓锋, 李帅, 贾冬妮, 宋宏. Learning Latent ODEs with Graph RNN for Multi-Channel Time Series Forecastin. IEEE Signal Processing Letters[J], 2023
[4] 贾冬妮, 周晓锋, 李帅, 刘舒锐, 史海波. Governing equation discovery based on causal graph for nonlinear dynamic systems. Machine Learning: Science and Technology[J], 2023
[5] 曾鹏宇, 胡国良, 周晓锋, 李帅, 刘朋杰. Seformer: A long sequence time-series forecasting model based on binary position encoding and information transfer regularization. Applied Intelligence[J], 2023
[6] 夏绍轩, 周晓锋, 史海波, 李帅. Hybrid feature adaptive fusion network for multivariate time series classification with application in AUV fault detection. Ships and Offshore Structures[J], 2023
[7] 赵天姿, 金樑, 周晓锋, 李帅, 刘舒锐, 朱江. Unsupervised Anomaly Detection Approach Based on Adversarial Memory Autoencoders for Multivariate Time Series. Cmc-Computers Materials & Continua[J], 2023
[8] 潘福成, 殷航, 周晓锋, 李帅, 刘舒锐, 贾冬妮. 基于自适应网络的球磨机负荷预测方法. 计算机集成制造系统[J], 2023
2022年代表性论文
[1] 曾鹏宇, 胡国良, 周晓锋, 李帅, 刘朋杰, 刘舒锐. Muformer: A long sequence time-series forecasting model based on modified multi-head attention. Knowledge-Based Systems[J], 2022
[2] 左心怡, 周晓锋, 郭大权, 李帅, 刘舒锐, 徐春晖. Ocean Temperature Prediction Based on Stereo Spatial and Temporal 4-D Convolution Model. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J], 2022, 19: 1-5
[3] 夏绍轩, 周晓锋, 史海波, 李帅, 徐春晖. A fault diagnosis method with multi-source data fusion based on hierarchical attention for AUV. Ocean Engineering[J], 2022
[4] 刘朋杰, 潘福成, 周晓锋, 李帅, 金樑. CF-DAML: Distributed automated machine learning based on collaborative filtering. Applied Intelligence[J], 2022: 1-25
[5] 刘朋杰, 潘福成, 周晓锋, 李帅, 曾鹏宇, 刘舒锐, 金樑. Dsa-PAML: a parallel automated machine learning system via dual-stacked autoencoder. Neural Computing and Applications[J], 2022: 1-22
[6] 李帅, 周晓锋, 史海波, 潘福成, 李歆, 张宜弛. Comprehensive monitoring of industrial processes using multivariable characteristics evaluation and subspace decomposition. CANADIAN JOURNAL OF CHEMICAL ENGINEERING[J], 2022, 100(8): 1796-1813
[7] 李歆, 李显, 李帅, 周晓锋, 金樑. 小样本下基于元学习和网络结构搜索的新模态故障诊断. 控制与决策[J], 2022
[8] 翟乃举, 周晓锋, 李帅, 史海波. 基于迁移学习和知识蒸馏的加热炉温度预测方法. 计算机集成制造系统[J], 2022, 28(6): 1860-1869
[9] 邓绍斌, 朱军, 周晓锋, 李帅, 刘舒锐. 基于局部策略交互探索的深度确定性策略梯度的工业过程控制方法. 计算机应用[J], 2022
[10] 赵天姿, 朱江, 周晓锋, 李帅, 刘舒锐. 基于深度记忆自编码器的时间序列异常检测方法. 计算机应用研究[J], 2022
[11] 李怀翱, 周晓锋, 房灵申, 李帅, 刘舒锐. 基于时空图卷积网络的多变量时间序列预测方法. 计算机应用研究[J], 2022
[12] 李显, 李歆, 周晓锋, 李帅, 金樑. 基于网络结构搜索的工业过程自动故障诊断方法. 计算机应用研究[J], 2022, 39(3): 807-813
[13] 刘嘉仁, 宋宏, 李帅, 周晓锋, 刘舒锐. 基于TE-DS的半监督化工过程故障诊断方法. 计算机应用研究[J], 2022, 39(1): 84-89
[14] 李帅, 周晓锋, 史海波Fault Detection Based on Hierarchical Mode Analysis with ICA-KICA. CCC 2022[C], 2022
[15] 朱雪靖, 彭慧, 舒奎武. Control method of outlet moisture content of tobacco primary processing based on TVA-TCN-MPC. ITAIC 202
[16] 刘嘉仁,宋宏, 王建国.Open-Set Fault Diagnosis Method for Industrial Process Based on Semi-supervised Learning. ICIRA 2022
[17] 夏绍轩, 周晓锋, 史海波, 李帅.A fault detection method for AUV based on multi-scale spatiotemporal feature fusion. CISAI 2022[C], 2022
2021年代表性论文
[1] 夏绍轩, 周晓锋, 史海波, 李帅, 徐春晖. A fault diagnosis method based on attention mechanism with application in Qianlong-2 autonomous underwater vehicle. OCEAN ENGINEERING[J], 2021, 233: 1-12
[2] 李帅, 周晓锋, 史海波, 潘福成. Dynamic Non-Gaussian hybrid serial modeling for industrial process monitoring. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS[J], 2021, 216: 1-15
[3] 郭大权, 杨宗圣, 周晓锋, 李帅, 徐春晖. 基于多块信息提取的AUV资源勘查系统故障检测. 控制与决策[J], 2021, 36(4): 790-800
[4] 彭慧, 朱雪靖, 周晓锋, 李帅, 刘舒锐. 基于TVA-TCN的制造过程关键参数多步预测方法. 控制与决策[J], 2021: 1-7
[5] 阳少杰, 里鹏, 李帅, 周晓锋. 基于多尺度时间卷积网络的多模态过程故障诊断方法. 计算机应用与软件[J], 2021
[6] 阳少杰, 里鹏, 李帅, 周晓锋, Jiang Shanghong. Fault Diagnosis Based on Multi-scale LSTM-FCNs for Industrial Process. SAFEPROCESS 2021[C], 2021
[7] Yao Peifu, 阳少杰, 里鹏.Fault Diagnosis Based on RseNet-LSTM for Industrial Process. IAEAC 2021[C], 2021.
2020年代表性论文
[1]傅洋, 郑泽宇. Volatility modeling and the asymmetric effect for China's carbon trading pilot market. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS[J], 2020: 123401
[2] 傅洋, 郑泽宇, 周孟初, 苑海涛, 郭希旺.New Results on Joint Classification of Vertical Structure of Ocean Properties at a Global Scale. IEEE ACCESS,2020, 8: 66448-66455
[3] Zhai, Naiju, Zhou, Xiaofeng. Temperature Prediction of Heating Furnace Based on Deep Transfer Learning. SENSORS[J]. 2020.20(17):
[4] 殷晶晶, 史海波, 周晓锋, 金樑, 李帅, 张宜弛. Multi-dimensional data visualisation method based on convex-corrected radviz. International journal of computer applications in technology, 2020, 63(1-2): 114-124
[5] 魏世超, 李歆, 张宜弛, 周晓锋, 李帅. 基于E-t-SNE的混合属性数据降维可视化方法. 计算机工程与应用[J], 2020, 56(6): 66-72
[6] 李帅, 周晓锋, 史海波Fault Detection using Common and Specific Variable Decomposition for Nonlinear Multimode Process. CAC 20200
[7] 魏世超, 李歆, 宋沛荫, 周晓锋, 张宜弛, 李帅. A visualization recommendation approach based on machine learning. 2020 10th International Workshop on Computer Science and Engineering, WCSE 2020, 2020
[8] 翟乃举,姚培福, 周晓锋. Multivariate time series forecast in industrial process based on XGBoost and GRU. IEEE 9th Joint International Information Technology and Artificial Intelligence Conference, 2020
2020年前代表性论文
[1] 陈勇, 周晓锋, 李帅. 铝电解关键指标预测方法的研究与应用. 计算机工程与应用[J], 2019, 55(12): 250-258
[2] Zhang, Yonglai, Song, Wenai, 李帅, Fu, Lizhen, Li, Shixin. Risk Detection of Stroke Using a Feature Selection and Classification Method. IEEEACCESS[J], 2018, 6: 31899-31907
[3] 李帅, 周晓锋, 史海波, 潘福成, 李歆, 张宜弛. Multimode processes monitoring based on hierarchical mode division and subspace decomposition. CANADIAN JOURNAL OF CHEMICAL ENGINEERING[J], 2018, 96(11): 2420-2430
[4] 刘舒锐, 彭慧, 李帅, 周晓锋. 基于IJB-PCA-ICA 算法的故障检测. 化工学报[J], 2018, 69(12): 5146-5154
[5] 姜智涵, 朱军, 周晓锋, 李帅. 基于信息熵的混合属性数据谱聚类算法. 计算机应用研究[J], 2018, 36(8): 2256-2260
[6] 吴阳, 刘振华, 周晓锋, 张宜弛. 基于纹理特征和SVM分类器的铝铸件类型识别. 计算机系统应用[J]. 2018, 27(8): 281-285,
[7] 李帅, 周晓锋, 史海波, 王中伟. Multimode processes monitoring using global–local MIC-PCA-SVDD. LECTURE NOTES IN ELECTRICAL ENGINEERING, 2018: 307-320
[8] 韦鹏宇, 潘福成, 李帅. 改进人工蜂群优化BP神经网络的分类研究. 计算机工程与应用[J], 2018, 54(10): 158-163
[9] 刘昶, 张涛, 李帅, 周晓锋. 基于真实核心点的密度聚类方法. 计算机应用研究[J], 2018, 35(12): 3564-3568
[10] 张涛, 刘昶, 周晓锋, 李帅. A new Automatic Density Cluster. PROCEEDINGS OF 2017 IEEE 2ND INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC), 2017: 1539-1543
[11] 李帅, 周晓锋, 潘福成, 史海波, 李开拓, 王中伟. Correlated and weakly correlated fault detection based on variable division and ICA. COMPUTERS & INDUSTRIAL ENGINEERING[J], 2017, 112: 320-335
[12] 高诗莹, 周晓锋, 李帅. Improved k-medoids clustering based on gray association rule. ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING, RECENT DEVELOPMENTS IN INTELLIGENT COMPUTING, COMMUNICATION AND DEVICES - PROCEEDINGS OF ICCD 2017, 2017: 349-356
[13] 李帅, 周晓锋, 史海波, 王中伟. Fault detection based on global-local PCA-SVDD for multimode processes. PROCEEDINGS OF 2017 9TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION AND CONTROL, ICMIC 2017, 2017: 863-868
[14] 高诗莹, 周晓锋, 李帅. 基于密度比例的密度峰值聚类算法. 计算机工程与应用[J], 2017, 53(16): 10-17
[15] 王中伟, 宋宏, 李帅, 周晓锋. 基于对数变换和最大信息系数PCA的过程监测. 科学技术与工程[J], 2017, 17(16): 259-265
[16] 李开拓, 彭慧, 周晓锋, 李帅. 基于多种相关性度量的特征选择方法研究 . 小型微型计算机系统, 2017, 38(4): 696-700
[17] 王中伟, 李帅, 宋宏, 周晓锋. Monitoring based on MIC-PCA and SVDD for industrial process. PROCEEDINGS OF 2017 IEEE 2ND ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE, IAEAC 2017, 2017: 1210-1214
[18] 傅洋, 郑泽宇, 史海波, 肖睿. A Novel Large-Scale Temperature Dominated Model for Predicting the End of the Growing Season. PLOS ONE[J], 2016: e0167302
[19] 仝义明, 郑泽宇, 付殿峥, 傅洋, 李帅. A Cloud Computing Platform for Data Analysis based on R Cluster. 2016 INTERNATIONAL CONFERENCE ON CYBER-ENABLED DISTRIBUTED COMPUTING AND KNOWLEDGE DISCOVERY, CYBERC 2016, 2016: 243-248
[20] 杨令铎, 史海波, 周晓锋. 基于词向量的评价搭配抽取算法研究. 小型微型计算机系统[J]. 2016, 37(10): 2269-2272,
[21] 李开拓, 彭慧, 周晓锋, 李帅. Feature Selection Based on Multiple Correlation Measures for Medical Examination Dataset. 2016 IEEE ADVANCED INFORMATION MANAGEMENT, COMMUNICATES, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE, IEEE IMCEC 2016, 2016: 845-849
[22] 李帅, 高诗莹, 周晓锋. Density Peaks Clustering Based on Multiple Distance Measures for Manufacturing Process. PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION, 2016: 1143-1148
[23] 张宜弛, 吴阳, 周晓锋, 李帅. High Precision Size Measurement System of Industrial Profiles Section. 2015 IEEE INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER), 2015: 415-419
[24] 李帅, 周晓锋, 史海波, 郑泽宇. Monitoring and Fault Diagnosis for Industrial Process. 2015 IEEE INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER), 2015: 1356-1361
[25] 周晓锋, 章永来, 郝胜轩, 李帅. A New Approach For Noise Data Detection Based on Cluster and Information Entropy. 2015 IEEE INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER), 2015: 1416-1419
[26] 李帅, 周晓锋, 史海波, Qiao, Zhi, 郑泽宇. Monitoring of Multimode Processes Based on Subspace Decomposition. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH[J] , 2015, 54(15): 3855-3864
[27] 杨秀锋, 彭慧, 周晓锋. 一种改进的ISOMAP分类算法. 计算机应用与软件[J]. 2015, 32(8): 43-46
[28] Zheng, Zeyu, Xiao, Rui, Shi, Haibo, Li, Guihong, Zhou, Xiaofeng. Statistical regularities of Carbon emission trading market: Evidence from European Union allowances. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS[J]. 2015, 426: 9-15
[29] 李帅, 周晓锋, 史海波, 郑泽宇. An Efficient Clustering Method for Medical Data Applications . 2015 IEEE INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER)[J], 2015: 133-138
[30] 章永来, 周晓锋, 史海波, 郑泽宇, 李帅. Corrosion pitting damage detection of rolling bearings using data mining techniques. INTERNATIONAL JOURNAL OF MODELLING, IDENTIFICATION AND CONTROL[J] , 2015, 24(3): 235-243
[31] 郝胜轩, 宋宏, 周晓锋. 一种基于双聚类的缺失数据填补方法. 计算机应用研究[J]. 2015, 32(3): 674-678
[32] 郝胜轩, 宋宏, 周晓锋. 基于近邻噪声处理的KNN缺失数据填补算法. 计算机仿真[J]. 2014, 31(7): 264-268
[33] Lin, Shuo, Luan, Fangjun, Han, Zhonghua, Lu, Xisheng, Zhou, Xiaofeng, Liu, Wei. Genetic Algorithm Based on Duality Principle for Bilevel Programming Problem in Steel-making Production. CHINESE JOURNAL OF CHEMICAL ENGINEERING[J]. 2014, 22(7): 742-747
[34] Shang, Wenli, Zhou, Xiaofeng, Yuan, Jie. An intelligent fault diagnosis system for newly assembled transmission. EXPERT SYSTEMS WITH APPLICATIONS[J]. 2014, 41(9): 4060-4072
[35] Zhou, Xiaofeng, Zhang, Yonglai, Shi, Mingrui, Shi, Haibo, Zheng, Zeyu. Early detection of liver disease using data visualisation and classification method. BIOMEDICAL SIGNAL PROCESSING AND CONTROL[J]. 2014, 11(1): 27-35
[36] 章永来, 史海波, 周晓锋, 杨秀锋. 基于统计学习理论的支持向量机预测模型. 统计与决策[J]. 2014, 72-73
[37] 李冬, 彭菲菲, 周晓锋, 刘昶. Research of Batch Scheduling with Arrival Time Based on Estimation of Distribution Algorithm. PROCEEDINGS - 2014 7TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN, ISCID 2014. 2014, 125-130
[38] 周晓锋, 史海波, 尚文利, 高明山. 面向不平衡样本集的变速器故障分类判别算法研究. 小型微型计算机系统[J]. 2013, 34(7): 1708-1712
[39] 何超, 彭慧, 尚文利, 周晓锋, 纪晓楠. 利用ArcGIS Silverlight实现的车辆监控技术. 自动化仪表[J]. 2013, 34(7): 54-57
[40] 周晓锋, 纪晓楠, 章永来, 史海波, 尚文利. 面向乳腺癌辅助诊断的改进支持向量机方法. 计算机应用研究[J]. 2013, 30(8): 2373-2376
[41] 尚文利, 胡国良, 周晓锋, 姚秀琴. 生产检测线振动传感器自动化弹压控制方法研究. 机械设计与制造[J]. 2013, 145-147
[42] 梅晶, 宋宏, 尚文利, 周晓锋. 基于ArcGIS的客车车队管理系统的开发. 自动化仪表[J]. 2013, 34(6): 39-41
[43] 周晓锋, 史海波, 尚文利, 高明山. 汽车变速器新产品质量检测系统中关键技术研究. 中国机械工程[J]. 2012, 23(11): 1369-1374
[44] 周晓锋, 史海波, 胡东平, 尚文利. 变速器新产品故障特征提取与分类方法. 计算机集成制造系统[J]. 2012, 18(4): 761-767
[45] 周晓锋, 史海波, 尚文利, 闫一功, 高明山. 基于阶次分析理论的变速器故障判别实现方法. 计算机应用研究[J]. 2012, 29(8): 2967-2969
[46] 周晓锋. 变速箱故障诊断中的同步数据采集技术研究. 计算机工程与应用[J]. 2010, 46(9): 16-18 |
