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刘靖教授
来源:学院  发布时间: 2016-06-08 15:09:13

刘靖,博士、教授、博士生导师,2011年博士毕业于中国科学院计算技术研究所,现就职于6165cc金沙总站检测中心,任生态大数据教育部工程研究中心副主任、云计算与服务软件内蒙古自治区工程实验室副主任。20149月至20158月在澳大利亚墨尔本大学云计算实验室从事访问学者研究。主要研究领域包括软件可靠性分析、云计算与大数据、可信人工智能等,深入探究了云边协同环境中复杂软件系统的故障发生机理,创新性提出深度学习赋能的软件老化判定及软件协同抗衰方法,为云边协同软件系统容错研究提供了重要理论指导和实用方法;对深度神经网络的鲁棒性与可信性进行深度分析,研发基于对抗学习的深度神经网络模型鲁棒性增强创新技术,提升模型应用性能与可信性。

主持国家自然科学基金项目2项、内蒙古自然科学基金重点项目等自治区中科研项目4项;在IEEE Transactions on Services Computing、计算机学报、软件学报等领域顶级期刊及IEEE ICWS / ICASSP / COMPSAC / QRS / ICANN等领域重要国际会议上发表高水平学术论文,累计发表学术论文60余篇,被引550 余次;获内蒙古自治区自然科学奖三等奖、内蒙古自治区教学成果三等奖、内蒙古高校青年教师教学技能大赛二等奖、内蒙古大学首届教师教学创新大赛正高组二等奖等,获评内蒙古大学首届培根铸魂新时代教师楷模等荣誉称号。共指导毕业硕士研究生30余人,其中多人获评校级优秀硕士毕业论文,获得内蒙古大学“互联网+”大学生创新创业大赛银奖等。

Emailliujing@imu.edu.cn

  • 主持重要科研项目:

1、基于软件抗衰与检查点技术的云应用系统主动容错服务方法研究,国家自然科学基金项目,2017-2020

2、机器学习赋能的大数据分析软件系统可靠性保障技术研发及支撑平台应用,内蒙古科技计划项目(关键技术攻关),2020-2023

3、云边协同的算力服务故障预测与恢复研究,内蒙古自然科学基金重点项目, 2023-2025

  • 近五年代表性论文:

  1. McTAR: A Multi-trigger Checkpointing Tactic for Fast Task Recovery in MapReduce. IEEE Transactions on Services Computing, Vol.14(6): 1895-1907, 2021.CCF-A

  2. OADAS: Optimizing Global Perturbation Attacks with Dual-Path Attribution Synergy. Proc. of the 49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP 2024): 6130-6134, Apr. 2024.CCF-B

  3. CSSAP: Software Aging Prediction for Cloud Services Based on ARIMA-LSTM Hybrid Model. Proc. of the IEEE 26th International Conference on Web Services (ICWS 2019): 283-290, Jul. 2019.CCF-B

  4. 面向图像分析领域的黑盒对抗攻击技术综述. 计算机学报, 已录用, 2024.CCF-A中文)

  5. 面向云应用系统的容错即服务优化提供方法. 软件学报, Vol.30(4): 1191-1202, 2019.CCF-中文A

  6. 基于SOM神经网络的二阶变异体约简方法研究. 软件学报, Vol.30(5): 1464-1480, 2019. CCF-中文A

  7. LogKT: Hybrid Log Anomaly Detection Method for Cloud Data Center. Proc. of the IEEE 47th Annual Computer Software and Applications Conference (COMPSAC 2023): 164-173, Jun. 2023.CCF-C

  8. LpAdvGAN: Noise Optimization Based Adversarial Network Generation Adversarial Example. Proc. of the International Joint Conference on Neural Networks (IJCNN 2023): 1-8, Jun. 2023.CCF-C

  9. SAL: Salient Adversarial Attack with LRP Refinement. Proc. of the 32nd International Conference on Artificial Neural Networks (ICANN 2023): 157-168, Sep. 2023.CCF-C

  10. Multivariate Time Series Anomaly Detection Based on Graph Neural Network for Big Data Scheduling System. Proc. of the 24th International Conference on Web Information Systems Engineering (WISE 2023): 791-800, Oct. 2023.CCF-C

  11. PM2.5 Pollution Prediction Service based on Mogrifier LSTM Model. Proc. of the IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS 2023): 1-8, Dec. 2023.CCF-C

  12. EWDLL: Software Aging State Identification Based on LightGBM-LR Hybrid Model. Proc. of the 22nd IEEE International Conference on Software Quality, Reliability and Security (QRS 2022): 1146-1158, Dec. 2022.CCF-C

  13. PlAA: Pixel-level Adversarial Attack on Attention for Deep Neural Network. Proc. of the 31st International Conference on Artificial Neural Networks (ICANN 2022): 611-623, Sep. 2022.CCF-C

  14. Single Pollutant Prediction Approach by Fusing MLSTM and CNN. Proc. of the International Conference on Knowledge Science, Engineering and Management (KSEM 2022): 129-140, Aug. 2022.CCF-C

  15. Second-Order Mutation Testing Cost Reduction Based on Mutant Clustering using SOM Neural Network Model. Proc. of the IEEE 45th Annual Computer Software and Applications Conference (COMPSAC 2021): 974-979, Jul. 2021.CCF-C

  16. ACLM: Software Aging Prediction of Virtual Machine Monitor Based on Attention Mechanism of CNN-LSTM Model. Proc. of the 21st IEEE International Conference on Software Quality, Reliability and Security (QRS 2021): 759-767, Dec. 2021.CCF-C

  17. GAN-ASD: Precise Software Aging State Detection for Android System Based on BEGAN Model and State Clustering. Proc. of the 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2020): 212-221, May. 2020.CCF-C

  18. Potential User Prediction for Financial APP Based on Random Forest Model. Proc. of the IEEE 24th International Conference on Computer Supported Cooperative Work in Design (IEEE CSCWD 2021): 180-185, May. 2021.CCF-C

  19. HARRD: Real-time Software Rejuvenation Decision Based on Hierarchical Analysis under Weibull Distribution. Proc. of the 20th IEEE International Conference on Software Quality, Reliability and Security (QRS 2020): 83-90, Dec. 2020.CCF-C

  20. Formal Verification of Blockchain Smart Contract based on Colored Petri Net Models. Proc. of the IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC 2019): 555-560, Jul. 2019.CCF-C

 




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