1、个人基本信息：

姓    名：何施茗

性    别：女

出生年月：1986年5月

技术职称: 教授

毕业院校：湖南大学

学历（学位）：博士

所在学科：计算机科学

研究方向：计算机网络

2、教育背景：

2002.9—2006.7

湖南大学

学士

2006.9—2013.10

湖南大学

博士

3、 目前研究领域：

1、网络监测数据、时序数据和日志数据等多模态数据异常检测

2、矩阵分解、图神经网络与数据处理

4、已完成或已在承担的主要课题：

1、国家自然科学基金面上项目，基于异构数据融合的网络异常检测方法研究，62272062，2023.01-2026.12，主持

2、国家自然科学基金青年项目，多跳无线网络中携能传输关键技术研究，61802030，2019.01-2021.12，主持

3、湖南省湖湘青年英才，2023RC3139，2023.07-2025.06，主持

4、湖南省自然科学基金面上项目，基于预训练模型的高效日志分析关键技术研究，2025JJ50373，2025.01-2027.12，主持

5、湖南省教育厅重点项目，微服务架构中基于操作图的多源数据异常检测关键技术研究，25A0188，2025.12-2028.12，主持

6、湖南省自然科学基金青年项目，大规模网络时序数据异常检测关键技术研究，2020JJ5602，2020.01-2022.12，主持

7、湖南省科技计划重点研发项目，面向路由的信息和能量联合传输关键技术研究，2016JC2075，2016-2018，主持

8、湖南省交通厅，基于群智感知的交通流量大数据恢复与预测关键技术研究，202143，2021.09-2024.08，主持

9、湖南省教育厅优秀青年项目，网络时序数据大规模异常检测关键技术研究，19B005，2019.09-2021.12，主持

10、湖南省教育厅一般项目，多跳无线网络中信息和能量联合传输关键技术研究，16C0047，2016.09-2018.12，主持

11、校“双一流”国际合作拓展项目，基于群智感知的交通流量大数据关键技术研究，2018IC24，2019.01-2021.12，主持

6、已发表的学术论文：

期刊：

1. Shiming He, Genxin Li, Kun Xie, Pradip Kumar Sharma, Fusion Graph Structure Learning-based Multivariate Time Series Anomaly Detection with Structured Prior Knowledge, IEEE Transactions on Information Forensics & Security, 2024, 19: 8760-8772, 10.1109/TIFS.2024.3459631.(中科院一区, CCF A类期刊)

2. Shiming He, Keyao Feng, Kaixuan Meng, Kun Xie, Xibin Zhao. Multimodal Anomaly Detection for Microservice Systems via Grassmann Manifolds-based Graph Fusion, IEEE Transactions on Services Computing. 2026, 19(2): 1422 - 1435. (CCF A类期刊)

3. Shiming He, Qingqing Guo, Keyao Feng, Diqing Liang, Kun Xie, Pradip Kumar Sharma, Multivariate Time Series Anomaly Detection Using Learnable Spatial-Temporal Graph Ordinary Differential Equations Network, IEEE Transactions on Dependable and Secure Computing, 2026, 23(2): 3723- 3737. (CCF A类期刊)

4. Mingkuan Wei, Jigang Wen, Shiming He*, Kun Xie*, Wei Liang, Gaogang Xie, Kenli Li, and Ziyu Zhu, TCMS: a Multi-sequence Log Parsing Method Based on Token Conversion, IEEE Transactions on Dependable and Secure Computing, 2025, 22(3): 3028-3045 (CCF A类期刊)

5. Shiming He, Zhuozhou Li, Jin Wang, Naixue Xiong, Intelligent Detection for Key Performance Indicators in Industrial-Based Cyber-Physical Systems, IEEE Transactions on Industrial Informatics, 2021, 17(8):5799-5809, 10.1109/TII.2020.3036168.(中科院一区)

6. Shiming He, Meng Guo, Zhuozhou Li, Ying Lei, Siyuan Zhou, Kun Xie, NEAL N. Xiong, Joint Matrix Factorization and Clustering Scheme for Irregular Time Series Data. Information Sciences. 2023, 644, 119220. 10.1016/j.ins.2023.119220 (中科院一区，CCF B类期刊)

7. Jin Wang, Liu Wang, Shiming He*, Osama Alfarraj, Amr Tolba, R. Simon Sherratt. SA-RFR: Self-attention based Recurrent Feature Reasoning for Image Inpainting with Large-missing Area. Human-centric Computing and Information Sciences, 2022, 12:31 (中科院一区)

8. Shiming He, Ying Zhang, Diqing Liang, and Pradip Kumar Sharma, An Unsupervised Malicious Web Request Detection based on Transformer and Contrastive Learning, IEEE Transactions on Network Service Management, 2025, 22(4): 3281-3294.(中科院二区)

9. Shiming He, Qingqing Guo, Genxin Li, Kun Xie, Pradip Kumar Sharma, Multivariate Time Series Anomaly Detection based on Multiple Spatio-temporal Graph Convolution, IEEE Transactions on Instrumentation and Measurement, 2025, 74: 1-14, Art no. 3500714. (中科院二区)

10. Shiming He, Genxin Li, Tongzhijian Yi, Osama Alfarraj, Amr Tolba, Arun Kumar Sangaiah, R. Simon Sherratt, Graph Structure Learning-based Multivariate Time Series Anomaly Detection in Internet of Things for Human-Centric Consumer Applications, IEEE Transactions on Consumer Electronics, 2024, 70(3): 5419-5431. 10.1109/TCE.2024.3409391(中科院二区)

11. Jigang Wen, Shiming He*, Kun Xie*, Heng Tao, Shuyu Pei, Guangxing Zhang, Wei Liang. Cost-Effective Survivable Virtual Network Embedding in the Presence of Physical Node Failures. Tsinghua Science and Technology, 2025, https://doi.org/10.26599/TST.2025.9010139 (中科院二区)

12. Shiming He, Kun Xie, Kexin Xie, Chuan Xu, Jin Wang, Interference-aware Multi-source Transmission in Multi-radio and Multi-channel Wireless Network. IEEE Systems Journal, 2019, 13(3): 2507-2518. 10.1109/JSYST.2019.2910409 (中科院二区，高被引、热点论文)

13. Shiming He, Zhuozhou Li, Yangning Tang, Zhuofan Liao, Feng Li and Se-Jung Lim, Parameters Compressing in Deep Learning, CMC: Computers, Materials & Continua, 2020, 62(1):321-336, 10.32604/cmc.2020.06130 (高被引论文)

14. Shiming He, Rui Liu, Bowen Chen, Kun Xie, Jigang Wen. Unsupervised Multi-target Cross-service Log Anomaly Detection, IEEE Transactions on Sustainable Computing, 2025, 10(5):1056-1069

15. Shiming He, Genxin Li, Jin Wang, Kun Xie, Pradip Kumar Sharma. Uni-directional graph structure learning-based multivariate time series anomaly detection with dynamic prior knowledge. International Journal of Machine Learning and Cybernetics, 2025,16:267-283

16. Shiming He, Deng Tuo, Bowen Chen, R. Simon Sherratt, Jin Wang*, Unsupervised Log Anomaly Detection Method Based on Multi-feature, CMC: Computers, Materials & Continua 2023, 76(1): 517-541. https://doi.org/10.32604/cmc.2023.037392

17. Shiming He, Meng Guo, Bo Yang, Osama Alfarraj, Amr Tolba, Pradip Kumar Sharma, Xi'ai Yan, Fine-Grained Multivariate Time Series Anomaly Detection in IoT, CMC: Computers, Materials & Continua, 2023, 75(3): 5027-5047. https://doi.org/10.32604/cmc.2023.038551.

18. Jin Wang, Changqing Zhao, Shiming He*, Yu Gu, Osama Alfarraj, Ahed Abugabah, LogUAD: Log Unsupervised Anomaly Detection Based on Word2Vec, Computer Systems Science and Engineering, 2022, 41(3):1207-1222.

19. Jin Wang, Yangning Tang, Shiming He*, Changqing Zhao, Pradip Kumar Sharma, Osama Alfarraj, Amr Tolba, LogEvent2vec: LogEvent-to-Vector Based Anomaly Detection for Large-Scale Logs in Internet of Things, Sensors, 2020, 20, 2451.

20. Shiming He, Yangning Tang, Zhuozhou Li, Feng Li, Kun Xie, Hye-jin Kim, and Gwang-jun Kim. Interference-Aware Routing for Difficult Wireless Sensor Network Environment with SWIPT. Sensors 2019, 19(18), 3978. doi:10.3390/s19183978.

21. Shiming He, Kun Xie, Xuhui Zhou, Thabo Semong, Jin Wang . Multi-Source Reliable Multicast Routing with QoS Constraints of NFV in Edge Computing. Electronics. 2019, 8(10), 1106; https://doi.org/10.3390/electronics8101106

22. Shiming He, Kun Xie, Weiwei Chen, Dafang Zhang, Jigang Wen, Energy-aware Routing for SWIPT in Multi-hop Energy-constrained Wireless Network, IEEE Access, 2018, 6: 17996-18008

23. Weiwei Chen, Chin-Tau Lea, Shiming He, Yuanzhe Xuan, Opportunistic Routing and Scheduling for Wireless Networks, IEEE Transactions on Wireless Communications, 2017, 16(1): 320~331.(CCF B类)

24. Shiming He, Weini Zeng, Kun Xie, Hongming Yang, Mingyong Lai, Xin Su, PPNC: Privacy Preserving Scheme for Random Linear Network Coding in Smart Grid, KSII Transactions on Internet and Information Systems, 2017, 11(3):1510-1533.

25. Kun Xie, Kexin Xie, Shiming He*, Daqiang Zhang, Jigang Wen, Jaime Lloret, Busy Tone Based Channel Access Control for Cooperative Communication, Transactions on Emerging Telecommunications Technologies, 2015, 26(10):1173~1188

26. Shiming He, Dafang Zhang^*, Kun Xie, Hong Qiao, Ji Zhang, Channel Aware Opportunistic Routing in Multi-radio Multi-channel Wireless Mesh Network, Journal of Computer Science and Technology, 2014, 29(3):487-501.(CCF B类)

27. Shiming He, Dafang Zhang, Kun Xie, Hong Qiao, Ji Zhang, A Distributed Low-complexity Channel Assignment for Opportunistic Routing, China Communications, 2012, 9(11):9-22.

28. 何施茗，张大方，谢鲲，张继，乔宏，多并发流无线网状网中的机会路由算法，电子学报，2014，42(5):1004~1008.(EI)

会议

29. Shiming He, Ying Lei, Ying Zhang, Kun Xie, Pradip Kumar Sharma, Parameter-Efficient Log Anomaly Detection based on Pre-training model and LORA, The 34th IEEE International Symposium on Software Reliability Engineering (ISSRE 2023). Florence, Italy, October 2023, pp. 207-217 (CCF B类).

30. Shiming He, Yanling Wu, Ying Lei, Gan Wu, and Kun Xie, LogAL-Prefix: Parameter-Efficient Log Anomaly Detection based on Active Learning and Prefix, IEEE International Symposium on Parallel and Distributed Processing with Applications (IEEE ISPA), Shengyang, China, October 10-12, 2025.(CCF C类)

31. Shiming He, Siru Long, Gan Wu, Diqing Liang, Kun Xie. Log Semantic Parsing based on Sequence Annotation in Security Operations, 21st EAI International Conference on Security and Privacy in Communication Networks (SecureCom), Xiangtan, China, 4-6 July, 2025 (CCF C类)

32. Shiming He, Genxin Li, Qinqing Guo, Kun Xie, Multi-Graph Structure Learning-based Multivariate Time Series Anomaly Detection with Extended Prior Knowledge, The 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2024). Tingjing, China, May 2024 (CCF C类).

33. Shiming He, Chenxi Guo, Memory-efficient anomaly detection method for online data streams, The 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2024). Tianjin, China, May 2024 (CCF C类)

34. Shiming He, Kun Xie, Weiwei Chen, Dafang ZhangJigang Wen, Simultaneous Wireless Information and Power Transfer for Multi-hop Energy-constrained Wireless Network. The 12th International Conference on Wireless Algorithms, Systems, and Applications(WASA 2017), Guilin, China, June 18-20, 2017. (CCF C类)

35. Shiming He, Ying Li, Kun Xie, Xin Su, Weini Zeng. Efficient Privacy-Preserving kNN Query in Mobile Sensing Systems. IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS), Wuhan, China, Dec 13-16, 2016 (CCF C类)

36. Shiming He, Kun Xie, Kexin Xie, Zhetao Li, Chuan Xu, Interference-aware Multi-source Transmission, IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA)，Tianjin, China, August 23-26, 2016. (CCF C类)

37. Shiming He, Weini Zeng and Kun Xie. Privacy preserving for Network coding in Smart Grid. The 15th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2015), Zhangjiajie, China, November 18-20, 2015.(CCF C类)

38. Shiming He, Kun Xie and Dafang Zhang. Completion time-aware Flow Scheduling in Heterogenous Networks. The 15th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2015), Zhangjiajie, China, November 18-20, 2015. (CCF C类)

专利

39. 何施茗，陈博文，肖锦攀，李文军，胡朋，胡晋彬，基于迁移学习的跨域模型训练与日志异常检测方法与设备，申请日期2022.08.30，授权日期2026.04，发明专利，申请号ZL202211045165.1

40. 何施茗，郭蒙，汤强，李妍，李文军，王进，多元时序数据异常事件诊断方法、装置、设备及存储介质，申请日期2023.04.14，授权日期2025.12.19，发明专利，ZL202310395073.4

41. 何施茗，陈博文，李文军，廖卓凡，汤强，王进，一种基于预训练模型的无监督日志异常检测方法，申请时间2021.11.29，授权时间2025.03.11，发明专利，ZL202111429926.9

42. 何施茗，李卓宙，王进，徐超，熊兵，邝利丹，一种基于聚类的大规模不规则KPI时间序列的异常检测方法，申请时间2021.5.30，授权时间2022.7.15，发明专利，ZL202110598652.X

43. 何施茗，李卓宙，王进，王磊，张建明，杨博，一种大规模不规则KPI时间序列异常检测方法，申请时间2020.04.24，授权时间2022.7.26，发明专利，ZL202010330615.6

44. 何施茗，李卓宙，邓玉芳，谢鲲，王进，一种干扰感知的无线携能传输路由方法，申请时间2018.10.9，授权时间2021.7.25，发明专利，ZL201811170867.6

45. 祝唯微，党倩，孙沛，何施茗，袁昊，柴京，赵博，金铭，一种基于联合天气信息矩阵分解的电量数据恢复方法，申请时间2017.11.15，授权时间2021.6.4，发明专利，ZL201711126675.0

46. 王进，唐杨宁，何施茗，赵长庆，曹敦，一种面向模板基于Word2vec的日志异常检测，申请时间2020.03.24，授权时间2023.12.01，发明专利，ZL202010211712.3.

7、 所获学术荣誉及学术影响：

中国计算机学会会员，担任CCF网络与数据通信、互联网、物联网、分布式计算专委会执行委员，湖南省计算机学会理事。

担任电子学报、Information Sciences、IPM、TNSM、JSS等期刊审稿人。