(Carol) Jingyi Li / 李静怡

Jingyi (Carol) Li is a Postdoctoral Fellow in the Department of ECE at the Hong Kong University of Science and Technology. She received her Ph.D. from the University of Sydney, where her research focused on FPGA-based signal processing accelerators. Her current work explores high-performance implementations of cyclostationary signal analysis, reconfigurable computing, and machine learning on AMD Versal ACAP platforms.

Selected and refereed publications

Peer-Reviewed Publications, including IEEE SPL, ACM TRETS, and FPL

Full publication list

  • [1] Ruilin Wu, Carol Jingyi Li, Wei Zhang, Xueyuan Liu, and Philip H.W. Leong. "Cyclo-AMC: automatic modulation classification on versal utilising cyclostationary features." In 2025 International Conference on Field-Programmable Technology (ICFPT), volume, to appear. 2025.
  • [2] Carol Jingyi Li, Ruilin Wu, and Philip H.W. Leong. "AMD Versal implementations of FAM and SSCA estimators." In 2025 35th International Conference on Field-Programmable Logic and Applications (FPL), volume, Accepted (to appear). 2025.
  • [3] C. J. Li, R. Rademacher, D. Boland, C. T. Jin, C. M. Spooner and P. H. W. Leong, "S3CA: A Sparse Strip Spectral Correlation Analyzer," in IEEE Signal Processing Letters, vol. 31, pp. 646-650, 2024, doi: 10.1109/LSP.2024.3364062.
  • [4] Carol Jingyi Li, Xiangwei Li, Binglei Lou, Craig T. Jin, David Boland, and Philip H. W. Leong. 2023. "Fixed-point FPGA Implementation of the FFT Accumulation Method for Real-time Cyclostationary Analysis." ACM Trans. Reconfigurable Technol. Syst. 16, 3, Article 41 (September 2023), 28 pages. doi: 10.1145/3567429
  • [5] Xiangwei Li, Douglas L. Maskell, Carol Jingyi Li, Philip H. W. Leong, and David Boland. 2022. "A Scalable Systolic Accelerator for Estimation of the Spectral Correlation Density Function and Its FPGA Implementation." ACM Trans. Reconfigurable Technol. Syst. 16, 1, Article 9 (March 2023), 24 pages. doi: 10.1145/3546181
  • [6] X. Liu, C. J. Li, C. T. Jin and P. H. W. Leong, "Wireless Signal Representation Techniques for Automatic Modulation Classification," in IEEE Access, vol. 10, pp. 84166-84187, 2022, doi: 10.1109/ACCESS.2022.3197224.