S. Qi and C. D. Sarris, Hybrid Physics-Informed Neural Network for the Wave Equation with Unconditionally Stable Time-Stepping, in Antennas and Wireless Propagation Letters, doi: 10.1109/LAWP.2024.3355896.

S. Qi and C. D. Sarris, Electromagnetic-Thermal Analysis With FDTD and Physics-Informed Neural Networks, in IEEE Journal on Multiscale and Multiphysics Computational Techniques, vol. 8, pp. 49-59, 2023, doi: 10.1109/JMMCT.2023.3236946.

S. Qi and C. D. Sarris, Deep Neural Networks for Rapid Simulation of Planar Microwave Circuits Based on their Layouts, in IEEE Transactions on Microwave Theory and Techniques, vol. 70, no. 11, pp. 4805-4815, Nov. 2022, doi: 10.1109/TMTT.2022.3210229.

S. Qi and C. D. Sarris, Physics-Informed Neural Networks for Multiphysics Simulations: Application to Coupled Electromagnetic-Thermal Modeling, in 2023 IEEE/MTT-S International Microwave Symposium - IMS 2023, San Diego, CA, USA, 2023, pp. 166-169, doi: 10.1109/IMS37964.2023.10188015.

S. Qi and C. D. Sarris, Benchmarking Physics-Informed Neural Networks for Time-Domain Electromagnetic Simulations, in 2023 IEEE International Symposium on Antennas and Propagation and USNC/URSI Radio Science Meeting (USNC-URSI), Portland, OR, USA, 2023, pp. 1619-1620, doi: 10.1109/USNC-URSI52151.2023.10237914.

S. Qi and C. D. Sarris, Numerical Dispersion Compensation for FDTD via Deep Learnings, in 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI), Denver, CO, USA, 2022, pp. 671-672, doi: 10.1109/AP-S/USNC-URSI47032.2022.9886317.

S. Qi, Y. Wang, Y. Li, X. Wu, Q. Ren and Y. Ren, 2D Electromagnetic Solver Based on Deep Learning Technique, in IEEE Journal of Multiscale and Multiphysics Computational Technique, 2020, 5: 83-88.

Q. Ren, Y. Wang, Y. Li and S. Qi, Sophisticated Electromagnetic Forward Scattering Solver via Deep Learning, in Springer Singapore Pte. Limited, 2021.

Y. Wang, Y. Li, S. Qi and Q. Ren, Electromagnetic Scattering Solver for Metal Nanostructures via Deep Learning, in 2021 Photonics & Electromagnetics Research Symposium (PIERS), 2021, pp. 2419-2424, doi: 10.1109/PIERS53385.2021.9694820.

T. Wu, S. Qi, J. Chen, M. Shang, et al. Fabriccio: Touchless Gestural Input on Interactive Fabrics, in CHI ‘20: Proceedings of the 2020 CHI Conference on Human Factors in Computing SystemsApril 2020. Pages 1–14, https://doi.org/10.1145/3313831.3376681.

Y. Wang, Y. Li, S. Qi and Q. Ren, Predicting Scattering From Complex Nano-Structures via Deep Learning, in IEEE Access, vol. 8, pp. 139983-139993, 2020, doi: 10.1109/ACCESS.2020.3012132.

N. Jiang, S. Qi, F. Luo, J. Wang and W. Wang, ADS-B Message Authentication Using Features of Signal in Transition Regions, in IEEE International Conference on Signal, Information and Data Processing (ICSIDP), 2019, pp. 1-5, doi: 10.1109/ICSIDP47821.2019.9172935.

Z. Tang, L. Sun, L. Cao, S. Qi and Y. Feng, Reconsidering Design of Multi-Antenna NOMA Systems With Limited Feedback, in IEEE Transactions on Wireless Communications, vol. 19, no. 3, pp. 1519-1534, March 2020, doi: 10.1109/TWC.2019.2954386.