Yinghui He (何映晖)

Yinghui He (何映晖)

Nanyang Technological University

I am currently a research fellow at the School of Computer Science and Engineering, Nanyang Technological University. I received Ph.D. degree from the College of Information Science and Electronic Engineering, Zhejiang University, supervised by Prof. Guanding Yu, Prof. Yunlong Cai, and Prof. Jinsong Han. I obtained my bachelor’s degree in Information Engineering from Zhejiang University in 2018.

My research focuses on wireless communication, integrated sensing and communication, and mobile edge computing. I have published more than 20 papers with total google scholar citations being 1800+!

🎓 Educations

  • 2018.09 - 2023.09, Ph.D., College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou China.
  • 2014.09 - 2018.06, Bachelor’s degree, College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou China.

📝 Selected Publications

Journal

  • Y. He, G. Yu, Y. Cai, and H. Luo, “Integrated sensing, computation, and communication: System framework and performance optimization,” IEEE Trans. Wireless Commun., vol. 23, no. 2, pp. 1114–1128, Feb. 2024. [PDF]
  • J. Liu, Y. He, C. Xiao, J. Han, and K. Ren, “Time to think the security of WiFi-based behavior recognition systems,” IEEE Trans. Depend. Sec. Comput., vol. 21, no. 1, pp. 449–462, Jan.-Feb. 2024.
  • M. Zhang, Y. He, Y. Cai, and G. Yu, “Design and performance analysis for wireless legitimate surveillance systems with radar function,” IEEE Trans. Commun., vol. 71, no. 4, pp. 2517–2531, Apr. 2023.
  • Y. He, Y. Cai, H. Mao, and G. Yu, “RIS-assisted communication radar coexistence: Joint beamforming design and analysis,” IEEE J. Sel. Areas Commun., vol. 40, no. 7, pp. 2131–2145, Jul. 2022.
  • Y. He, Y. Cai, and G. Yu, “Joint transceiver design for dual-functional full-duplex relay aided radar-communication systems,” IEEE Trans. Commun., vol. 70, no. 12, pp. 8355–8369, Dec. 2022.
  • Y. He, J. Ren, G. Yu, and J. Yuan, “Importance-aware data selection and resource allocation in federated edge learning system,” IEEE Trans. Veh. Technol., vol. 69, no. 11, pp. 13593–13605, Nov. 2020.
  • J. Ren, Y. He, D. Wen, G. Yu, K. Huang, and D. Guo, “Scheduling for cellular federated edge learning with importance and channel awareness,” IEEE Trans. Wireless Commun., vol. 19, no. 11, pp. 7690–7703, Nov. 2020.
  • Y. He, J. Ren, G. Yu, and Y. Cai, “Optimizing the learning performance in mobile augmented reality systems with CNN,” IEEE Trans. Wireless Commun., vol. 19, no. 8, pp. 5333–5344, Aug. 2020.
  • Y. He, J. Ren, G. Yu, and Y. Cai, “D2D communications meet mobile edge computing for enhanced computation capacity in cellular networks,” IEEE Trans. Wireless Commun., vol. 18, no. 3, pp. 1750–1763, Mar. 2019.
  • J. Ren, Y. He, G. Huang, G. Yu, Y. Cai, and Z. Zhang, “An edge-computing based architecture for mobile augmented reality,” IEEE Netw., vol. 33, no. 4, pp. 162–169, Jul. 2019.
  • J. Ren, G. Yu, Y. He, and G. Y. Li, “Collaborative cloud and edge computing for latency minimization,” IEEE Trans. Veh. Techn., vol. 68, no. 5, pp. 5031–5044, May 2019.
  • J. Ren, G. Yu, Y. Cai, and Y. He, “Latency optimization for resource allocation in mobile-edge computation offloading,” IEEE Trans. Wireless Commun., vol. 17, no. 8, pp. 5506–5519, Aug. 2018.
  • L. Deng, Y. He, Y. Zhang, M. Chen, Z. Li, J. Y. B. Lee, Y. Zhang, and L. Song, “Device-to-device load balancing for cellular networks,” IEEE Trans. Commun., vol. 67, no. 4, pp. 3040–3054, Dec. 2018.

Conference

  • Y. He, J. Liu, M. Li, G. Yu, J. Han, and K. Ren, “SenCom: Integrated sensing and communication with practical WiFi,” in Proc. ACM MobiCom, Madrid, Spain, Oct. 2023, pp. 1–16. (CCF-A, acceptance rate: 24.4%) [PDF] [PPT]
  • Y. He, G. Yu, Y. Cai, and H. Luo, “Performance optimization in integrated sensing, computation, and communication systems,” in Proc. IEEE ICC, Roma, Italy, May 2023, pp. 1–6.
  • J. Liu, Y. He, C. Xiao, J. Han, L. Cheng, and K. Ren, “Physical-world attack towards WiFi-based behavior recognition,” in Proc. IEEE INFOCOM, May 2022, pp. 1–10.
  • Y. He, J. Ren, G. Yu, and J. Yuan, “Resource allocation for wireless federated edge learning based on data importance,” in Proc. IEEE GLOBECOM, Dec. 2020, pp. 1–6.
  • Y. He, J. Ren, G. Yu, and Y. Cai, “Optimizing the learning accuracy in mobile augmented reality systems with CNN,” in Proc. IEEE ICC, Dublin, Ireland, Jun. 2020, pp. 1–6.
  • Y. He, J. Ren, G. Yu, and Y. Cai, “Joint computation offloading and resource allocation in D2D enabled MEC networks,” in Proc. IEEE ICC, Oct. 2019, pp. 1–6.
  • J. Ren, Y. He, G. Yu, and G. Y. Li, “Joint communication and computation resource allocation for cloud-edge collaborative system,” in Proc. IEEE WCNC, Marrakech, Morocco, Apr. 2019, pp. 1–6.
  • J. Ren, G. Yu, Y. Cai, Y. He, and F. Qu, “Partial offloading for latency minimization in mobile-edge computing,” in Proc. IEEE GLOBECOM, Dec. 2017, pp. 1–6.
  • W. Liu, J. Ren, G. Huang, Y. He, and G. Yu, “Data offloading and sharing for latency minimization in augmented reality based on mobile edge computing,” in Proc. IEEE VTC-Fall, 2018, pp. 1–5.

Miscellaneous

🏅 Honors and Awards

  • 2020.10 National Scholarship
  • 2016.10 National Scholarship