CV

Education

• M.S. in Electronic and Information Engineerin, Chinese Academy of Sciences, 2025
• B.S. in Electronic and Information Engineering, Nanjing Normal University, 2022

Work experience

• Fall 2025: AI Engineer
  • HUAWEI, CHINA
  • Consumer BG

Skills

• Communication Engineering
• Programming
  • Python
  • C / C++
• FPGA, Circuit

Publications

Toward Deep Learning based Intrusion Detection System: A Survey

Li, Z., Fang, W., Zhu, C., Song, G., & Zhang, W. (2024, July). Toward Deep Learning based Intrusion Detection System: A Survey. In Proceedings of the 2024 6th International Conference on Big Data Engineering (pp. 25-32).

Deep Neural Network-Based Intrusion Detection in Internet of Things: A State-of-the-Art Review

Li, Z., Fang, W., Zhu, C., Chen, W., Gao, Z., Jiang, X., & Zhang, W. (2024, August). Deep Neural Network-Based Intrusion Detection in Internet of Things: A State-of-the-Art Review. In International Conference on Intelligent Computing (pp. 13-23). Singapore: Springer Nature Singapore.

Trust Evaluation with Deep Learning in Online Social Networks: A State-of-the-Art Review

Li, Z., Fang, W., Zhu, C., Chen, W., Hao, T., & Zhang, W. (2024, August). Trust evaluation with deep learning in online social networks: A state-of-the-art review. In International Conference on Intelligent Computing (pp. 3-12). Singapore: Springer Nature Singapore.

AI-Enabled Trust in Distributed Networks

Li, Z., Fang, W., Zhu, C., Gao, Z., & Zhang, W. (2023). AI-enabled trust in distributed networks. IEEE Access, 11, 88116-88134.