Yuyi Shen’s Personal Projects and Work

Freddy is my fluffiest friend. Two of my brain cells are on indefinite loan to this loaf for operating his tail (pitch and yaw).

Junior is the latest addition to the family! Extraordinarily naughty and always wants his food right meow.

Publications

[1] Y. Shen, E. Chen and V. Chen, “A Current-Steering 6-GHz Power Amplifier With Extensive Reconfigurability for Cryogenic Operation in 65 nm CMOS,” in IEEE Open Journal of the Solid-State Circuits Society, vol. 5, pp. 497-510, 2025, doi: 10.1109/OJSSCS.2025.3631573.

[2] J. Xu, J. Kan, Y. Shen, E. Chen and V. Chen, “A 0.45-mm² 3.49-TOPS/W Cryogenic Deep Reinforcement Learning Module for End-to-End Integrated Circuits Control,” in IEEE Open Journal of the Solid-State Circuits Society, vol. 5, pp. 240-250, 2025, doi: 10.1109/OJSSCS.2025.3601153.

[3] E. Chen et al., “Dynamic Partial Reconfiguration of FPGAs for Energy-Efficient Machine Learning Inference in IoT Systems,” 2025 26th International Symposium on Quality Electronic Design (ISQED), San Francisco, CA, USA, 2025, pp. 1-5, doi: 10.1109/ISQED65160.2025.11014371.

[4] J. Xu, Y. Shen, J. Deng, E. Chen and V. Chen, “A Reinforcement-Learning-Assisted Power Amplifier for RF Fingerprint Generation in 65 nm CMOS,” in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 71, no. 7, pp. 3050-3063, July 2024, doi: 10.1109/TCSI.2024.3390694.

[5] J. Wang et al., “Wireless Actuation for Soft Electronics-free Robots,” in Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, New York, NY, USA: Association for Computing Machinery, 2023.

[6] J. Xu, Y. Shen, J. Yi, E. Chen and V. Chen, “Deep Reinforcement Learning on FPGA for Self-Healing Cryogenic Power Amplifier Control,” in IEEE Open Journal of Circuits and Systems, vol. 4, pp. 176-187, 2023, doi: 10.1109/OJCAS.2023.3282929.

[7] V. Chen, J. Xu, Y. Shen and E. Chen, “RF Fingerprint Classification With Combinatorial-Randomness-Based Power Amplifiers and Convolutional Neural Networks: Secure analog/RF electronics and electromagnetics,” in IEEE Solid-State Circuits Magazine, vol. 14, no. 4, pp. 28-36, Fall 2022, doi: 10.1109/MSSC.2022.3200302.

[8] J. Kan, Y. Shen, J. Xu, E. Chen, J. Zhu and V. Chen, “RF Analog Hardware Trojan Detection Through Electromagnetic Side-Channel,” in IEEE Open Journal of Circuits and Systems, vol. 3, pp. 237-251, 2022, doi: 10.1109/OJCAS.2022.3210163.

[9] Y. Shen, J. Xu, J. Yi, E. Chen and V. Chen, “Class-E Power Amplifiers Incorporating Fingerprint Augmentation With Combinatorial Security Primitives for Machine-Learning-Based Authentication in 65 nm CMOS,” in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 69, no. 5, pp. 1896-1909, May 2022, doi: 10.1109/TCSI.2022.3141336.

[10] J. Xu, Y. Shen, E. Chen and V. Chen, “Bayesian Neural Networks for Identification and Classification of Radio Frequency Transmitters Using Power Amplifiers’ Nonlinearity Signatures,” in IEEE Open Journal of Circuits and Systems, vol. 2, pp. 457-471, 2021, doi: 10.1109/OJCAS.2021.3089499.

[11] A. Kochhar, A. Mahmoud, Y. Shen, N. Turumella and G. Piazza, “X-Cut Lithium Niobate-Based Shear Horizontal Resonators for Radio Frequency Applications,” in Journal of Microelectromechanical Systems, vol. 29, no. 6, pp. 1464-1472, Dec. 2020, doi: 10.1109/JMEMS.2020.3026167.