Jingci Yang

dblp:259/8675 · DBLP profile ↗
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4ranked-venue papers
1as first author
4since 2021 · last 2026
0000-0002-5365-1101ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 4 · 1 first-author · 4 since 2021
YearPublicationVenuePosition
2026 A 2 nA, -70 dB at 1 MHz PSRR and Trimming-Less Dual-Output CMOS Voltage Reference With Pre-Stabilization for IoT Applications
Yanhan Zeng, Cailin Yu, Yanshen Luo, Jingci Yang, Yongfu Li 0002
IEEE Trans. Very Large Scale Integr. Syst.4
2024 Knowledge Transfer Framework for PVT Robustness in Analog Integrated Circuits
abstract
Process, voltage, and temperature (PVT) variations in chip fabrication or operation pose a significant challenge to the robustness of analog integrated circuits. Existing design techniques for mitigating PVT variations involve analyzing offsets of DC operating points, but this approach often leads to compromises in circuit performance. To address this challenge, we developed a ‘PVT-Transfer’ framework to facilitate knowledge transfer with evolutionary design. Specifically, by cross-operating the circuit parameters under variations, design knowledge is transferred through parameter migration, thus enhancing the robustness of the resultant circuit. In addition, we leverage data-driven learning to discover potential similarities among PVT variations, thereby mitigating negative knowledge transfer. The PVT-Transfer Framework is evaluated on three integrated voltage references and compared with four state-of-the-art circuit sizing methods. Based on post-layout Monte-Carlo simulations, this framework is verified to offer superior performance to existing methods, yielding a 60% reduction in power consumption, an 80% increase in temperature resilience, and up to 70$\times$enhancement in the figure of merit. Further, it leads to a 60% reduction in the number of required circuit simulations and is suitable for parallel computation.
Jintao Li 0002, Yanhan Zeng, Haochang Zhi, Jingci Yang, Weiwei Shan, Yongfu Li 0002, Yun Li 0002
IEEE Trans. Circuits Syst. I Regul. Pap.4
2022 Optimization of CMOS Voltage reference with Prediction based on Multi-group Hierarchical Collaborative Evolution and GBDT
abstract
An automatic design system for the voltage reference circuit is presented in this paper. The multi-group hierarchical collaborative evolution algorithm is proposed to automatically generate the circuit structures and intelligently optimize the parameters of the circuits. In order to improve the convergence speed and reduce the optimization time, the gradient boosting decision tree (GBDT) algorithm is introduced to establish the circuit prediction model. In this paper, the automatic design of the CMOS reference source circuit is implemented in a standard 0.18μ m process. Compared with previous work, the number of iterations is reduced by 20%, the optimization time is decreased by 20.48%, the line sensitivity and temperature coefficient are improved by 65.42% and 15.47%, respectively, and the circuit power consumption is reduced by 22.50%.
Yanhan Zeng, Peidong Lin, Mingrui Lv, Shangzuo Xie, Mingjiang Hou, Jingci Yang, Weijian Chen 0003
ISCAS6
2021 A 77-nA and Three-Output CMOS Voltage Reference with -73dB PSRR for Energy Harvesting Systems
abstract
A CMOS-only and multiple-output voltage reference has been proposed and simulated in a standard 0.18 μm CMOS process in this paper. Three reference voltages with their own advantages simultaneously are obtained based on the body bias technology and specific active load. Among the three references, the best temperature coefficient (TC) of 74.8ppm/°C in the range from -20°C to 80°C is obtained without using resistors and specific devices. By introducing amplifier and pushing away the main pole of the circuit, low line sensitivity (LS) of 0.06%/V and high power supply rejection ratio (PSRR) of -73dB at 10Hz are obtained without capacitor. Besides, due to the subthreshold operation, the current is as low as 77nA with a supply voltage down-to 1V.
Jingci Yang, Yanhan Zeng, Weijian Chen 0003, Haochang Zhi, Hongzhou Tan
ISCAS1