汪清
- 教师拼音名称：Qing WANG
- 出生日期：1982-09-26
- 职务：教师
- 性别：女
- 职称：教授
- 所属院系：电气自动化与信息工程学院
- · X.F. Liu, Y.C. Li, Q. Wang*, X. Zhang*, Y.F. Shao, Y.H. Geng, "Sparse Personalized Federated Learning", IEEE Transactions on Neural Networks and Learning Systems, accepted.
- · Q. Wang, Q. Liu, S.F. Wand et al., "Normalized Min-Sum Neural Network for LDPC Decoding," IEEE Transactions on Cognitive Communications and Networking, vol. 9, no. 1, pp. 70-81, Feb. 2023.
- · Y. Guo, J. Jin, Q. Wang*, H, Chen, W. Liu, "Position-enabled Complex Toeplitz LISTA for DOA Estimation with Unknow Mutual Coupling ", Signal Processing, vol. 194, no. 2022, pp. 1-9, May 2022.
- · R. Feng, Z. Li, Q. Wang* and J. Huang, "An ADMM-Based Optimization Method for URLLC-Enabled UAV Relay System," IEEE Wireless Communications Letters, vol. 11, no. 6, pp. 1123-1127, June 2022.
- · Y. Yang, Y. Ge, B. Li, Q. Wang, Y. Lang and K. Li, "Multiscenario Open-Set Gait Recognition Based on Radar Micro-Doppler Signatures," IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-13, 2022.
- · J. Xu, Y. Hou, Y. Yang, B. Li, Q. Wang and Y. Lang, "Semisupervised Radar-Based Gait Recognition in the Wild via Ensemble Determination Strategy," IEEE Sensors Journal, vol. 22, no. 21, pp. 20947-20957, 1 Nov.1, 2022.
- · C. Li, Q. Wang, H. Chen and L. Teng, "1-Bit DOA Estimation Using Expectation-Maximization Generalized Approximate Message Passing with Two L-Shaped Arrays," IEEE Communications Letters, vol. 25, no. 8, pp. 2554-2558, Aug. 2021.
- · L. Teng, Q. Wang and H. Chen, "1-Bit DOA Estimation Algorithm for Strictly Non-Circular Sources," IEEE Communications Letters, vol. 25, no. 7, pp. 2216-2220, July 2021.
- · C.Y. Zhao, Q. Wang, X.F. Liu, C. Li, and L.D. Shi. "Reinforcement Learning based a Non-zero-sum Game for Secure Transmission against Smart Jamming," Digital Signal Processing, vol. 112, pp. 103002-103010, 2021.
- · Y.H. Liu, H. Chen, Q. Wang, W. Liu, G. Wang, “Noncircularity-based generalized shift invariance for estimation of angular parameters of incoherently distributed sources,” Signal Processing, Volume 183, 2021, 107989