严珂
sex
1
title
副教授
department
信息工程学院
college

college2

degree
博士
recruit":0,"firstDiscipline1
计算机科学与技术
secondaryDiscipline1

firstDiscipline2
电子信息
secondaryDiscipline2

executive

officePhone
yanke@qq.com
mobilePhone
**
emailAddress
yanke@cjlu.edu.cn
businessAddress
赛博北楼106
individualResume

researchTopic

awards
2016-2017 学年 年度考核优秀\r2017-2018 年度 优秀科研工作者\r2018-2019 年度 优秀科研工作者\r2018年度浙江省151数字经济一号工程人才培养专项(学校推荐)
researchProject
中国计量大学启动资金项目1 科研经费：2万 主持
publications
1. Ke Yan, Jianye Su, Jing Huang, Yuchang Mo. Chiller Fault Diagnosis based on VAE Enabled Generative Adversarial Networks. IEEE Transactions on Automation Science and Engineering. 2021. Accepted. (SCI二区, 影响因子：4.938, top期刊).\r2. Ke Yan, Lu Liu, Yong Xiang, Qun Jin. Guest Editorial: AI and Machine Learning Solution Cyber Intelligence Technologies: New Methodologies and Applications. IEEE Transactions on Industrial Informatics.16(10): 6626-6631, 2020. (SCI一区, 影响因子：9.112，top期刊).\r3. Ke Yan, Ho-lun Cheng, Jing Huang. Representing Implicit Surfaces Satisfying Lipschitz Conditions by 4-dimensional Point Sets. Applied Mathematics and Computation. 354: 42-57, 2019. (SCI一区, 影响因子：3.472，top期刊)\r4. Ke Yan, Zhiwei Ji, Huijuan Lu*, Jing Huang, Wen Shen and Yu Xue. Fast and Accurate Classification of Time Series Data using Extended ELM: Application in Fault Diagnosis of Air Handling Units. IEEE Transactions on Systems, Man and Cybernetics: Systems. 49(7): 1349-1356, 2019. (SCI一区, 影响因子：9.309，top期刊).\r5. Ke Yan, Wen Shen, Huijuan Lu, Qun Jin. Emerging Privacy Issues and Solutions in Cyber-Enabled Sharing Services: From Multiple Perspectives. IEEE Access. 2019. doi: 10.1109/ACCESS.2019.**. (SCI二区, 影响因子：3.557).\r6. Ke Yan, Chaowen Zhong, Jing Huang*, Zhiwei Ji. Semi-supervised Learning for Early Detection and Diagonsis of Various Air Handling Unit Faults. Energy and Buildings. 2018. doi: 10.1016/j.enbuild.2018.10.016. (SCI二区, 影响因子：4.457，top期刊).\r7.\tKe Yan, Yang Du* and Zixiao Ren. MPPT Perturbation Optimization of Photovoltaic Power Systems Based on Solar Irradiance Data Classification. IEEE Transactions on Sustainable Energy. 10(2): 514-521, 2018. (SCI一区, 影响因子：6.235，top期刊).\r8.\tKe Yan*, Lulu Ma, Yuting Dai, Wen Shen, Zhiwei Ji. Cost-sensitive and sequential feature selection for chiller fault detection and diagnosis. International Journal of Refrigeration, Elsevier, 2018, 86: 401-409. doi: 10.1016/j.ijrefrig.2017.11.003 (SCI二区, 影响因子：3.233).\r9.\tKe Yan, Zhiwei Ji*, Wen Shen. Online Fault Detection Methods for Chillers Combining Extended Kalman Filter and Recursive One-class SVM. Neurocomputing, Elsevier, 228: 205--212. 2017 (SCI二区, 影响因子：3.241).\r10.\tKe Yan, Wen Shen, Timothy Mulumba and Afshin Afshari*. ARX model based fault detection and diagnosis for chillers using support vector machines. Energy and Buildings, Elsevier, 2014, 81: 287--295 (SCI二区, 影响因子：4.457，top期刊).\r11.\tMin Hu, Xiaowei Feng, Zhiwei Ji*, Ke Yan*, Shengchen zhou. A Novel Computational Approach for Discord Search with Local Recurrence Rates in Multivariate Time Series. Information Sciences, 2018. doi: 10.1016/j.ins.2018.10.047 (SCI二区, 影响因子：4.378，top期刊).\r12.\tWen Shen, Jacob W. Crandall, Ke Yan, Cristina V. Lopes. Information Design in Crowdfunding under Thresholding Policies. Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018), Stockholm, Sweden, 2018. (CCF B类会议)\r13.\tHuijuan Lu, Junying Chen, Ke Yan*, Qun Jin, Yu Xue, Zhigang Gao. A Hybrid Feature Selection Algorithm for Gene Expression Data Classification. Neurocomputing, Elsevier, 2017. doi: 10.1016/j.neucom.2016.07.080 (SCI二区, 影响因子：3.241).\r14. Ke Yan, Chaowen Zhong, Zhiwei Ji and Jing Huang. Evaluating Semi-supervised Learning for Automated Fault Detection and Diagnosis of Air Handling Units. 33rd AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, Hawaii, USA. 2019. EDSMLS workshop.(CCF A类会议)\r15. Ke Yan and Huijuan Lu. Evaluating Ensemble Learning Impact on Gene Selection for Automated Cancer Diagnosis. 33rd AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, Hawaii, USA. 2019. W3PHIAI-19 workshop.(CCF A类会议)\r16. Ke Yan, Wei Li, Zhiwei Ji, Meng Qi, Yang Du. A Hybrid LSTM Neural Network for Energy Consumption Forecasting of Individual Households. IEEE Access, 7, 157633 - 157642, 2019. (SCI 二区)\r17. Min Hu, Wei Li, Ke Yan*, Zhiwei Ji, H. Hu. Modern Machine Learning Techniques for Univariate Tunnel Settlement Forecasting: A Comparative Study. Mathematical Problems in Engineering, 2019, 1-12, 2019. (SCI 四区)\r18. Ke Yan, Ho-lun Cheng, Jing Huang. Representing Implicit Surface Satisfying Lipschitz Conditions by 4-Dimensional Point Sets. Applied Mathematics and Computation, 354, 42-57, 2019. (SCI 二区)\r19. Chaowen Zhong, Ke Yan*, Yuting Dai, Ning Jin and Bing Lou. Energy Efficiency Solutions for Buildings: Automated Fault Diagnosis of Air Handling Units using Generative Advaersarial Networks. Energies 12(3), 527, 2019. (SCI 三区)\r\r
others
本课题组招收学术硕士、专业硕士，欢迎广大同学报考！
correlation
researchDirection1
人工智能，
researchDirection2
计算机几何，
researchDirection3
时间序列分析，
researchDirection4
故障诊断，