Publications

 

Journal

  • J. Deng, E. Chen, and V. Chen, "Intrusion into RF Fingerprint Authorized Wireless Communications with Generative-Adversarial-Network-based Attackers," IEEE Transactions on Wireless Communications, vol. 24, no. 5, May 2025.
  • C. Fan, J. Deng, E. Chen, and V. Chen, "Enhancing RF Fingerprint Generation in Power Amplifiers: Unequally Spaced Multi-Tone Design Approaches and Considerations," IEEE Open Journal of the Solid-State Circuits Society, vol. 4, pp. 83-96, Aug. 2024.
  • 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," IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 71, no. 7, pp. 3050-3063, July 2024.
  • J. Xu, Y. Shen, J. Yi, E. Chen, and V. Chen, "Deep Reinforcement Learning on FPGA for Self-Healing Cryogenic Power Amplifier Control," IEEE Open Journal of Circuits and Systems, vol. 4, pp. 176-187, June 2023.
  • C. Liang, P. Roblin, Y. Hahn, J. Martinez-Lopez, H.-C. Chang, and V. Chen, "Single-Input Broadband Hybrid Doherty Power Amplifiers Design Relying on a Phase Sliding-Mode of the Load Modulation Scheme," IEEE Transactions on Microwave Theory and Techniques, vol. 71, no.4, pp. 1550-1562, April 2023.
  • Y. Hahn, J. Martinez-Lopez, P. Roblin, R. Alsulami, Z. Popovic, and V. Chen, "Analysis and Digital Predistortion of In-band Cross Modulation in Concurrent Multi-Band Transmitters," IEEE Access, vol. 10, pp. 120462-120474, Nov. 2022.
  • J. Kan, Y. Shen, J. Xu, E. Chen, J. Zhu, and V. Chen, "RF Analog Hardware Trojan Detection through Electromagnetic Side-Channel," IEEE Open Journal of Circuits and Systems, vol. 3, pp. 237-251, Sep. 2022.
  • V. Chen, J. Xu, Y. Shen, and E. Chen, "RF Fingerprint Classification With Combinatorial-Randomness-Based Power Amplifiers and Convolutional Neural Networks," IEEE Solid-State Circuits Magazine, vol. 14, no. 4, pp. 28-36, Nov. 2022.
  • J. Yi, J. Xu, E. Chen, M. Chamanzar, and V. Chen, "Multichannel Many-Class Real-Time Neural Spike Sorting With Convolutional Neural Networks," IEEE Open Journal of Circuits and Systems, vol. 3, pp. 168-179, Sep. 2022.
  • 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 65nm CMOS," IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 69, no. 5, pp. 1896-1909, May 2022.
  • E. Chen, J. Kan, B.-Y. Yang, J. Zhu, and V. Chen, "Intelligent Electromagnetic Sensors for Non-Invasive Trojan Detection," Sensors, vol. 21, no. 24, Dec. 2021.
  • 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," IEEE Open Journal of Circuits and Systems, vol. 2, pp. 457-471, July 2021.
  • R. Alsulami, P. Roblin, J. Martinez-Lopez, Y. Hahn, C. Liang, Z. Popovic, and V. Chen, "A Novel 3-Way Dual-Band Doherty Power Amplifier For Enhanced Concurrent Operation," IEEE Transactions on Microwave Theory and Techniques, vol. 69, no. 9, pp. 4041-4058, Sept. 2021.
  • C. Liang, J. Martinez-Lopez, P. Roblin, Y. Hahn, and V. Chen, "Wideband Two-Way Hybrid Doherty Outphasing Power Amplifier," IEEE Transactions on Microwave Theory and Techniques, vol. 69, no. 2, pp. 1415-1428, Feb. 2021.
  • E. Chen and V. Chen, "In-Sensor Time-Domain Classifiers Using Pseudo Sigmoid Activation Functions," Integration, the VLSI Journal, vol. 73, pp. 43-49, July 2020.
  • E. Chen and V. Chen, "Statistical RF/Analog Integrated Circuit Design Using Combinatorial Randomness for Hardware Security Applications," Mathematics, vol. 8, no. 5, 829, May 2020.
  • J.-C. Hsueh and V. Chen, "An Ultra-Low Voltage Chaos-Based True Random Number Generator for IoT Applications," Microelectronics Journal, vol. 87, pp. 55-64, May 2019.
  • E. Chen, J.-C. Hsueh, and V. Chen, "Instantaneous In-Band Radio Frequency Interference Suppression Using Nonlinear Folders," Electronics Letters, vol. 55, no. 7, pp. 372-374, Apr. 2019.
  • V. H.-C. Chen and L. Pileggi, "A 69.5 mW 20 GS/s 6b Time-Interleaved ADC with Embedded Time-to-Digital Calibration in 32nm CMOS SOI," IEEE Journal of Solid-State Circuits, vol. 49, no. 12, pp. 2891-2901, Dec. 2014.
  • W. J. Chiang, H. C. Chen, and Y. C. King, "A New Photodiode Model for SPICE Simulation of Complementary Metal-Oxide-Semiconductor Image Sensors," Japanese Journal of Applied Physics, vol. 46, no. 4B, pp. 2352-2359, April 2007.

Conference

  • J. Deng, E. Chen, and V. Chen, "Graph Convolutional Network Aggregation for Broad-spectral Object Detection," in IEEE International Conference on Image Processing, Anchorage, AK, Sep. 2025.
  • H. Kim, J. Kim, E. Chen, and V. Chen, "A Multispectral Vision Sensor with Embedded Convolutional Neural Network using Programmable Fractional Weights and nMOS-Only PWM Pixels," in IEEE Symposium on VLSI Circuits, Kyoto, Japan, June 2025.
  • J. Deng, E. Chen, and V. Chen, "A Generative-Model-Assisted Optimizer for Restoring Transmission Performance," in IEEE Microelectronics Design and Test Symposium (MDTS), Albany, NY, May 2025.
  • E. Chen*, J. Deng*, C. J. Cheng, J. Xu, J. Kan, Y. Shen, and V. Chen, "Dynamic Partial Reconfiguration of FPGAs for Energy-Efficient Machine Learning Inference in IoT Systems," in IEEE International Symposium on Quality Electronic Design (ISQED), San Francisco, CA, Apr. 2025.
  • J. Wang, Y. Song, M. Zadan, Y. Shen, V. Chen, C. Majidi, and S. Kumar, "Wireless Actuation for Soft Electronics-free Robots," in ACM The 29th Annual International Conference On Mobile Computing And Networking (MobiCom), Madrid, Spain, Oct 2023.
  • J. Xu, Y. Shen, J. Yi, E. Chen, and V. Chen, "Combinatorial-Randomness-Based Power Amplifier Datasets with RF Fingerprint Classification," in tinyML Research Symposium, Burlingame, CA, March 2022.
  • J. Xu, E. Chen, and V. Chen, "Energy-Efficient Data Symbol Detection via Boosted Learning for Multi-Actuator Data Storage Systems," in IEEE International Symposium on Circuits & Systems (ISCAS), Daegu, Korea, May 2021.(with Live Demo)
  • X. He, S. Liu, S. Kargarrazi, V. Chen, M. Chamanzar, and L. Pileggi, "A Multiplexed Active Digital Implantable Neural Probe," in SfN Global Connectome, Jan. 2021.
  • E. Chen, J. Xu, J. Zhu, and V. Chen, "Wireless Bayesian Neural Networks with Self-Assembly DNA Memory and Spin-Torque Oscillators," in IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), Springfiled, MA, Aug. 2020.
  • T. N. Alemán, Y. Hahn, P. Roblin, J.-P. Teyssier, J. A. Reynoso-Hernández, V. Chen, and S. Rajan, "Calibrated Digital Predistortion Using a Vector Network Analyzer as the Receiver," in 93rd ARFTG Microwave Measurement Symposium, Boston, MA, June 2019.
  • J.-C. Hsueh, J.-O. Plouchart, and V. H.-C. Chen, "An Ultra-High Bandwidth Sub-Ranging ADC with Programmable Dynamic Range in 32nm CMOS SOI," in IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), Boston, MA, Aug. 2017.
  • J.-O. Plouchart, F. Wang, A. Balteanu, B. Parker, M. A. T. Sanduleanu, M. Yeck, V. H.-C. Chen, W. Woods, B. Sadhu, A. Valdes-Garcia, X. Li, and D. Friedman, "A 18mW, 3.3dB NF, 60GHz LNA in 32nm SOI CMOS Technology with Autonomic NF," in IEEE Radio Frequency Integrated Circuits (RFIC) Symposium Digest of Papers, Phoenix, AZ, May 2015, pp. 319-322.
  • V. H.-C. Chen and L. Pileggi, "A 69.5mW 20GS/s 6b Time-Interleaved ADC with Embedded Time-to-Digital Calibration in 32nm CMOS SOI," in IEEE International Solid-State Circuits Conference (ISSCC) Digest of Technical Papers, San Francisco, CA, Feb. 2014, pp. 380-381.
  • V. H.-C. Chen and L. Pileggi, "An 8.5mW 5GS/s 6b Flash ADC with Dynamic Offset Calibration in 32nm CMOS SOI," in Symposium on VLSI Circuits Digest of Technical Papers, Kyoto, Japan, June 2013, pp. 264-265.
  • W. J. Chiang, H. C. Chen, and Y. C. King, "Photodiode Model for CMOS Image Sensor SPICE Simulation," in International Conference on Solid State Devices and Materials, Yokohama, Japan, Sep. 2006, pp.664-665.

Book Chapter

  • V. H.-C. Chen, G. Keskin, and L. T. Pileggi, "Self-Healing Circuits Using Statistical Element Selection," in Analog/RF and Mixed-Signal Circuit Systematic Design, by M. Fakhfakh, E. Tlelo-Cuautle, R. Castro-Lopez (eds.), Springer, 2013.

Patent

  • J.-O. Plouchart and V. H.-C. Chen, "Analog to Digital Converter with Digital Reference Voltage Signal," U.S. Patent No. 9,602,120, Mar. 21, 2017.

Workshop Report

  • R. Han, V. H.-C. Chen, and J. Nanzer, "NSF Workshop on Security in RF/Analog Microelectronics and Electromagnetics," Jan, 2020.