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张茜茜

职称: 讲师

部门: 信息科学与工程学院党委、信息科学与工程学院

学科: 信息与通信工程

教学部门:

办公地址: 常州新校区

通讯地址: 江苏省常州市

邮编: 213200

10 访问

个人简介

张茜茜,女,江苏徐州人,1997年1月生,博士,IEEE Member。2025年6月获得南京邮电大学信息与通信工程博士学位,师从桂冠教授(IEEE Fellow)与Hikmet Sari教授(IEEE Life Fellow)。2025年7月加入河海大学信息科学与工程学院,任职于韩光洁院长(IEEE Fellow)团队。主要研究方向包括智能信号识别、网络入侵检测、深度学习与小样本学习等。近年来,在IEEE Transactions on Information Forensics and Security(TIFS)、IEEE Transactions on Cognitive Communications and Networking(TCCN)、IEEE Internet of Things Journal(IoTJ)等CCF-A类及国际权威期刊发表高水平学术论文30余篇,其中以第一作者发表论文10余篇,单篇SCI他引超过100次。主持江苏省研究生科研创新计划项目,参与国家自然科学基金、中央军委科技委173项目、工业和信息化部科技重大专项等多项科研课题。曾荣获《无线电通信技术》“最佳期刊论文奖”、第九届DSA会议“最佳会议论文奖”等学术荣誉。此外,担任KSII Transactions on Internet and Information Systems(TIIS)期刊编委、电磁频谱学术大会程序委员会委员、IEEE ICICC Award Chair,并受邀为国际期刊审稿人,包括IEEE TIFS、IEEE IoTJ、IEEE TCCN、IEEE Communications Letters等。

电子邮箱:zhangxixi@hhu.edu.cn


相关科研成果如下:

2025年代表性论文:

[1] X. Zhang, Y. Wang, T. Ohtsuki, G. Gui, C. Yuen, M. Renzo, and H. Sari, “Malware traffic classification via expandable class incremental learning with architecture search,” IEEE Transactions on Information Forensics and Security, vol. 20, pp. 6074-6085, 2025. CCF-A 中科院1, JCR-Q1, IF=6.3) 


2024年代表性论文:

[1] X. Zhang, Q. Wang, M. Qin, Y. Wang, T. Ohtsuki, B. Adebisi, H. Sari, and G. Gui, “Enhanced few-shot malware classification via integrating knowledge transfer with neural architecture search,” IEEE Transactions on Information Forensics and Security, vol. 19, pp. 5245-5256, May 2024. CCF-A 中科院1, JCR-Q1, IF=6.3

[2] X. Zhang, L. Hao, G. Gui, Y. Wang, B. Adebisi, H. Gacanin, and H. Sari, “An automatic and efficient malware traffic classification method for secure Internet of Things,” IEEE Internet of Things Journal, vol. 11, no. 5, pp. 8448-8458, Mar. 2024. 中科院1区, JCR-Q1, IF=8.2

[3] X. Zhang, Y. Wang, H. Huang, Y. Lin, H. Zhao, and G. Gui, “Few-shot automatic modulation classification using architecture search and knowledge transfer in radar-communication coexistence scenarios,” IEEE Internet of Things Journalvol. 11, no. 19, pp. 32067-32078, Oct. 2024. 中科院1区, JCR-Q1, IF=8.2

[4] X. Zhang, G. Lu, J. Wang, Y. Wang, Y. Lin, and G. Gui, “Efficient modulation recognition with minimal samples leveraging architecture search and knowledge transfer in combined radar-communication environments,” in IEEE Vehicular Technology Conference (VTC2024-Spring), Singapore, June 2024, pp. 1-5.EI会议论文

[5] X. Xu, X. Zhang, Q. Zhang, Y. Wang, B. Adebisi. T. Ohtsuki, H. Sari, and G. Gui, Advancing malware detection in network traffic with self-paced class incremental learning,” IEEE Internet of Things Journal, vol. 11, no. 12, pp. 21816-21826,  June 2024.中科院1区, JCR-Q1, IF=8.2

[6] K. XuX. ZhangY. Wang, T. Ohtsuki, B.Adebisi, H. Sari, and G. Gui, Self-supervised learning malware traffic classification based on masked autoencoder,” IEEE Internet of Things Journal vol. 11, no. 10, pp. 17330-17340, May 2024. 中科院1区, JCR-Q1, IF=8.2


2023年代表性论文:

[1] X. Zhang, X. Chen, Y. Wang, G. Gui, B. Adebisi, H. Sari, and F. Adachi, “Lightweight automatic modulation classification via progressive differentiable architecture search,” IEEE Transactions on Cognitive Communications and Networking, vol. 9, no. 6, pp. 1519-1530, Dec. 2023. 中科院1区, JCR-Q1, IF=7.4,  谷歌引用次数=44次

[2] Z. He, X. Zhang, Y. Wang, Y. Lin, G. Gui, and H. Gacanin, “A robust CSI-based Wi-Fi passive sensing method using Attention mechanism deep learning,” IEEE Internet of Things Journal, vol. 10, no. 19, pp. 17490-17499, Oct. 2023. 中科院1区, JCR-Q1, IF=8.2,  谷歌引用次数=40次


Before  2022:

[1] X. Zhang, H. Zhao, H. Zhu, B. Adebisi, G. Gui, H. Gacanin, and F. Adachi, “NAS-AMR: Neural architecture search-based automatic modulation recognition for integrated sensing and communication systems,” IEEE Transactions on Cognitive Communications and Networking, vol. 8, no. 3, pp. 1374-1386, Sept. 2022. 中科院1区, IF=7.4, 谷歌引用次数=102次

[2] 张茜茜,王禹,林云,桂冠. 基于深度学习的自动调制识别方法综述[]. 无线电通信技术2022484):697-710. 期刊最佳论文奖

[3] X. Zhang, Y. Wang, Y. Lin, G. Gui, T. Ohtsuki, and H. Sari, “Data augmentation aided few-shot learning for specific emitter identification,” in IEEE Vehicular Technology Conference (VTC2022-Fall), London, United Kingdom, Sept. 2022, pp. 1-5.EI会议论文

[4] X. Zhang, M. Tao, T. Tang, and J. Yang, “Automatic classification and recognition method based on partially-connected differentiable architecture search for ISAC systems,” in International Symposium on Antennas, Propagation and EM Theory (ISAPE), Zhuhai, China, Dec. 2021, pp. 1-3.


相关代码

https://github.com/XixiZhang123


个人资料

  • 姓名: 张茜茜
  • 性别:
  • 学位: 博士
  • 出生年月: 1997-01-25 00:00:00.0
  • 学历: 博士研究生毕业
  • 毕业院校: 南京邮电大学

教育经历

工作经历

研究领域

物理层安全:自动调制分类、特定辐射源识别;

网络安全:恶意软件流量分类、网络入侵检测;

AI技术:深度学习、小样本学习、神经架构搜索等


科研项目

  • 1、江苏省研究生科研创新计划,2023年-2025年6月,2023年6月,张茜茜,省部级纵向,南京邮电大学

论文

  • 1、Enhanced few-shot malware classification via integrating knowledge transfer with neural architecture search,IEEE Transactions on Information Forensics and Security,May 2024,Xixi Zhang
  • 2、Malware traffic classification via expandable class incremental learning with architecture search,IEEE Transactions on Information Forensics and Security,2025,Xixi Zhang
  • 3、An automatic and efficient malware traffic classification method for secure Internet of Things,IEEE Internet of Things Journal,Mar. 2024,Xixi Zhang
  • 4、Few-shot automatic modulation classification using architecture search and knowledge transfer in radar-communication coexistence scenarios,IEEE Internet of Things Journal,Oct. 2024,Xixi Zhang
  • 5、Lightweight automatic modulation classification via progressive differentiable architecture search,IEEE Transactions on Cognitive Communications and Networking,Dec. 2023,Xixi Zhang
  • 6、NAS-AMR: Neural architecture search-based automatic modulation recognition for integrated sensing and communication systems,IEEE Transactions on Cognitive Communications and Networking,Sept. 2022,Xixi Zhang

科技成果

开授课程

教学成果

教学资源

社会职务

担任KSII Transactions on Internet and Information SystemsTIIS)期刊编委、电磁频谱学术大会程序委员会委员、IEEE ICICC Award Chair,并受邀为国际期刊审稿人,包括IEEE TIFSIEEE IoTJIEEE TCCNIEEE Communications Letters等。

荣誉及奖励

  • 1、博士研究生国家奖学金,张茜茜,2024年12月
  • 2、十大学术之星,南京邮电大学,张茜茜,2025年5月
  • 3、优秀博士研究生,南京邮电大学,张茜茜,2024年12月
  • 4、优秀研究生,南京邮电大学,张茜茜,2022年12月
  • 5、《无线电通信技术》“最佳期刊论文奖”,张茜茜,2022年
  • 6、第九届DSA会议“最佳会议论文奖”,2023年

招生信息