Personal profile
Personal profile
Wu Biyi
Assistant Professor, Doctoral Supervisor
Office Tel: 010-68915010
E-mail: biyi.wu@bit.edu.cn
Office Location: 226 Teaching Building 4
2019.09-present Assistant Professor, Beijing Institute of Technology
2017.08-2019.08 Postdoctoral Fellow, Beijing Institute of Technology
2015.03-2017.03 Visiting Scholar, Queen Mary University of London
2011.09-2017.07 Beijing Institute of Technology Electronic Science and Technology Doctor
2007.09-2011.06 Beijing Institute of Technology Information Engineering Experimental Class Undergraduate
Assistant Professor, Doctoral Supervisor
Office Tel: 010-68915010
E-mail: biyi.wu@bit.edu.cn
Office Location: 226 Teaching Building 4
2019.09-present Assistant Professor, Beijing Institute of Technology
2017.08-2019.08 Postdoctoral Fellow, Beijing Institute of Technology
2015.03-2017.03 Visiting Scholar, Queen Mary University of London
2011.09-2017.07 Beijing Institute of Technology Electronic Science and Technology Doctor
2007.09-2011.06 Beijing Institute of Technology Information Engineering Experimental Class Undergraduate
Research Interests
Electromagnetic Simulation and Antenna, RF Integrated Circuit Simulation, Advanced Numerical Algorithms and High Performance Computing
Education
2019.09-present Assistant Professor, Beijing Institute of Technology
2017.08-2019.08 Postdoctoral Fellow, Beijing Institute of Technology
2015.03-2017.03 Visiting Scholar, Queen Mary University of London
2011.09-2017.07 Beijing Institute of Technology Electronic Science and Technology Doctor
2007.09-2011.06 Beijing Institute of Technology Information Engineering Experimental Class Undergraduate
Professional Experience
2019.09-present Assistant Professor, Beijing Institute of Technology
2017.08-2019.08 Postdoctoral Fellow, Beijing Institute of Technology
2015.03-2017.03 Visiting Scholar, Queen Mary University of London
2011.09-2017.07 Beijing Institute of Technology Electronic Science and Technology Doctor
2007.09-2011.06 Beijing Institute of Technology Information Engineering Experimental Class Undergraduate
Research Achievement
2021 Selected in the 6th China Association for Science and Technology Young Talent Lifting Project
2021 International Society for Applied Computational Electromagnetism (ACES) Young Scientist Award
Excellent Paper in Journal of Electrical Communication in 2020
Second Prize of Basic Teaching Skills in School of Information and Electronics in 2020
2017 Scientific Reports Top 100 Papers
As the project leader, he has been approved by the National Natural Science Foundation, the sub-project of the National Key Research and Development Plan, and the special funding of the China Postdoctoral Science Foundation. He was selected for the 6th China Association for Science and Technology Young Talent Lifting Project and won the 2021 International Society for Applied Computational Electromagnetism (ACES) Young Scientist Award. He has published more than 30 academic research papers, including more than 10 SCI journal papers; Applied for 3 national invention patents.
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Achieving Linear-Scaling Throughput in Covert Ambient Backscatter Communication via Non-Colluding Replay
Zhang, Q., Shi, J., Wu, B. Y., Gui, G., Di Renzo, M., Niyato, D. & Sari, H., 2026, In: IEEE Journal on Selected Areas in Communications. 44, p. 1781-1795 15 p.Research output: Contribution to journal › Article › peer-review
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A Physics-Informed Dual-Branch Neural Network for Scattering From 3-D Dielectric Objects
Li, Z. L., Wu, B. Y., Guo, K. Y. & Sheng, X. Q., 2026, In: IEEE Transactions on Antennas and Propagation. 74, 2, p. 1877-1887 11 p.Research output: Contribution to journal › Article › peer-review
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On the Robust Detection of Hidden RF Receivers Through the Controlled Backscattering Characteristics
Zhang, Q., Shi, J., Wu, B., Guan, Z., Lin, Y. & Gui, G., 2026, In: IEEE Transactions on Cognitive Communications and Networking. 12, p. 3899-3912 14 p.Research output: Contribution to journal › Article › peer-review
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融合物理信息的双分支神经网络的三维 介质体电磁散射参数化模型
Translated title of the contribution :A parameterized model of electromagnetic scattering from three-dimensional dielectric objects based on a dual-branch neural network integrating physical information Research output: Contribution to journal › Article › peer-review
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A Case Study of Attention Mechanism in ML-Recognition of Highly Similar Low-RCS Targets
Pan, P., Wu, B. Y. & Sheng, X. Q., 2025, IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications, NEMO 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications, NEMO 2025 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review