张茜茜

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电磁信号识别、网络入侵检测、深度学习与小样本学习等。主持国家自然科学基金青年基金、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。截至目前，已累计发表SCI/EI等高水平论文30余篇，其中以第一作者身份在CCF-A类及IEEE Trans系列期刊等发表论文11篇（2篇TIFS、2篇TCCN、3篇IoTJ、2篇VTC、1篇无线电通信技术、1篇ISAPE），谷歌学术总引用600余次，单篇最高引用超过100次。曾荣获2026 ICTC 会议主席、2026 ICTC 特邀报告、2025 ICICC 最佳会议、2024博士研究生国家奖学金、2024校级博士研究生十大学术之星、2022《无线电通信技术》十佳论文奖、2022 DSA最佳论文奖等荣誉。此外，担任SCI期刊KSII TIIS编委、电磁频谱学术大会程序委员会委员、 2025 ICICC颁奖主席，并受邀担任IEEE TIFS、IEEE IoTJ、IEEE TCCN、IEEE CL等期刊审稿人。

电子邮箱：zhangxixi at hhu.edu.cn

谷歌学术：https://scholar.google.com/citations?user=d9-0NecAAAAJ&hl=zh-CN&oi=ao

相关代码：https://github.com/XixiZhang123

相关科研成果如下：

2026年代表性论文：

[1] F. Shi, X. Zhang, T. Tang, Y. Wang, T. Ohtsuki, G. Gui, “Robust Specific Emitter Identification Across Modulation Domains via Domain-Invariant Variational Autoencoding,” IEEE Transactions on Information Forensics and Security, vol. 21, 2026. （CCF-A 中科院1区, JCR-Q1, IF=8）

[2] W. Wang, P. Liu, X. Zhang, Z. Yang, T. Tang, Y. Lin, G. Gui, “Few-Shot Specific Emitter Identification via Graph Sample Attention Neural Network and Adaptive Augmentation,” IEEE Internet of Things Journal, 2026. (中科院2区, JCR-Q1, IF=8.9）

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区, JCR-Q1, IF=8） 

[2] X. Zhang, Y. Wang, G. Han*, and G. Gui, “Advanced few-shot network intrusion detection method using lightweight transfer learning,” IEEE Internet of Things Journal, vol. 12, no. 22, pp. 48678-48688, Nov. 2025.（中科院2区, JCR-Q1, IF=8.9）

[3] C. Shi, X. Zhang*, T. Tang, Y. Wang, G. Gui, and M. Jo, “Ultra-lightweight AMC via robust Geometric median filter pruning for edge IoT devices,” IEEE Internet of Things Journal, vol. 12, no. 24, pp. 53623-53633, Dec. 2025. (中科院2区, JCR-Q1, IF=8.9）

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区, 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 Journal, vol. 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. Xu, X. Zhang, Y. 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=100+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[Ｊ]. 无线电通信技术，2022，48（4）：697-710. （最佳期刊论文奖）

[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.

担任SCI期刊KSII Transactions on Internet and Information Systems编委、电磁频谱学术大会程序委员会委员、国际会议ICICC 2025 Award Chair，并受邀担任IEEE TIFS、IEEE IoTJ、IEEE TCCN、IEEE Communications Letters等IEEE期刊审稿人。