男，1988年10月生，副教授、博士生导师、上海市东方英才（青年）。2016年博士毕业于Universidad Politécnica de Madrid（国家公派），同年在中科院上海微系统所参加工作，2018年加入东华大学。研究方向为体域通信网络、大模型应用等，主持国家自然科学基金面上项目、青年基金及企业委托项目若干。担任中国通信学会天线与射频分会委员、Health Care Science《科学医疗（英文）》青年编委等。
代表性论文：
[1]L. Zhang, W. Liu, Q. Ni, Z. Gao and Y. Wang, "PDXNet: An eXplainable Hybrid Attention Convolutional Neural Network for Parkinson’s Disease Monitoring and Evaluation,"IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 34, pp. 1426-1437, 2026
[2]L. Zhang, W. Su, Q. Ni, J. Lu and B. Chen, "GAN4RM: A CWGAN-Based Framework for Radio Maps Generation in Real Cellular Networks," IEEE Transactions on Network and Service Management, vol. 23, pp. 1329-1341, 2026
[3]L. Zhang, J. Lu, Y. Zhang and X. Lu, "A Multi-Task Learning Model for Trajectory and Cellular Signal Power Prediction," IEEE Transactions on Cognitive Communications and Networking, vol.11, no. 3, pp. 1696-1707, 2025.
[4]L. Zhang, X. Chu, M. Zhai, “Machine Learning-Based Integrated Wireless Sensing and Positioning for Cellular Network,” IEEE Transactions on Instrumentation and Measurement, vol. 72, Art no. 5501011, pp. 1-11, 2023.
[5]L. Zhang, P. Lin, “Reinforcement Learning Based Energy-Neutral Operation for Hybrid EH Powered TBAN,” Future Generation Computer Systems, vol. 140, pp. 311-320, 2023.
[6]L. Zhang, M. Jiang, Q. Ni, et al., "A Joint Optimization with Dynamic Strategy for Hub Position in IoB Over Human Body Channel," IEEE Internet of Things Journal,vol. 12, no. 14, pp. 28506-28520, 2025.
[7]Q. Ni, Y. Zhu, L. Zhang, X. Lu, L. Zhang*, "Leverage Learning Behaviour Data for Students' Learning Performance Prediction and Influence Factor Analysis," IEEE Transactions on Artificial Intelligence, vol. 5, no. 5, pp. 2422-2433, 2024.
[8]L. Zhang, P. Lin, K. Deng, G. Huang, J. Feng, "Joint Optimization of Energy and QoS for Smart Clothing with Multi-posture Participation," IEEE Sensors Journal, vol. 22, no. 23, pp. 23529-23538, 2022
[9]L. Zhang, Y. Zhang, J. Lu, Y. Xiao and G. Zhang, "Deep Reinforcement Learning Based Trajectory Design for Customized UAV-Aided NOMA Data Collection," IEEE Wireless Communications Letters, vol. 13, no. 12, pp. 3365-3369, 2024
[10]L. Zhang, Y. Zhu, Q. Ni, X. Zheng, Z. Gao, Q. Zhao, "Local/Global Explainability Empowered Expert-Involved Frameworks for Essential Tremor Action Recognition," Biomedical Signal Processing and Control, vol. 95, Part A, p. 106457, 2024.
发明专利
1.基于多任务学习蜂窝网无线信号与用户轨迹联合预测方法 (ZL 202310005580.2)
2.一种面向智能服装的能量管理和网络性能的联合优化方法 (ZL202310005587.4)
Email: lei [dot] zhang [at] dhu.edu.cn