Zhangxixi

Xixi Zhang, female, from Xuzhou, Jiangsu, born in January 1997, holds a Ph.D. and is an IEEE Member. In June 2025, she received her Ph.D. degree in Information and Communication Engineering from Nanjing University of Posts and Telecommunications, under the guidance of Professor Gui Guan (IEEE Fellow) and Professor Hikmet Sari (IEEE Life Fellow). In July 2025, she joined the School of Information Science and Engineering at Hohai University, working in the team led by Dean Han Guangjie (IEEE Fellow). Her main research areas include intelligent signal recognition, network intrusion detection, deep learning, and few-shot learning. In recent years, she has published over 30 high-level academic papers in CCF-A and internationally authoritative journals, such as IEEE Transactions on Information Forensics and Security (TIFS), IEEE Transactions on Cognitive Communications and Networking (TCCN), and IEEE Internet of Things Journal (IoTJ). As the first author, she has published more than 10 papers, with a single paper being cited more than 100 times in SCI. She has hosted the Jiangsu Provincial Graduate Research Innovation Program project and participated in several research projects, including the National Natural Science Foundation, the Central Military Commission Science and Technology Committee 173 Project, and the Ministry of Industry and Information Technology’s major scientific research project. She has received numerous academic honors, including the Best Journal Paper Award from Wireless Communication Technology and the Best Conference Paper Award at the 9th DSA conference. In addition, she serves as an editorial board member for KSII Transactions on Internet and Information Systems (TIIS), a program committee member for the Electromagnetic Spectrum Academic Conference, the IEEE ICICC Award Chair, and has been invited to review for international journals such as IEEE TIFS, IEEE IoTJ, IEEE TCCN, and IEEE Communications Letters.

The related research achievements are as follows:

Representative Papers in 2025:

[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, early access, doi: 10.1109/TIFS.2025.3578937. （CCF-A, JCR-Q1, IF=6.3）

Representative Papers in 2024:

[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, 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. （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. （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）

[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.（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. （JCR-Q1, IF=8.2）

Representative Papers in 2023:

[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. （JCR-Q1, IF=7.4）

[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. （JCR-Q1, IF=8.2）

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. （IF=7.4）

[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. 

[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）

[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.

Related codes:

https://github.com/XixiZhang123

1. Serving as an editorial board member of KSII Transactions on Internet and Information Systems (TIIS), a program committee member of the Electromagnetic Spectrum Academic Conference, and the IEEE ICICC Award Chair.

2. Review of IEEE TIFS, IEEE IoT, IEEE TCCN, IEEE CL, KSII TIIS, Springer Nature, and so on.

3. Volunteer of IEEE WCNC, IEEE ICCT, RICAI, and so on.