EDBT 2026 Demo / reviewers in the wild / expert
Wenji Mo
dblp:365/8757
· DBLP profile ↗
4ranked-venue papers
0as first author
4since 2021 · last 2026
0009-0008-3256-9310ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 4 · 4 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | A Fully Integrated Storage-Free Energy Harvesting System With Voltage Self-Regulation and Dual-Channel Power Extraction
Jingjing Liu 0005, Wenji Mo, Weijie Ge |
IEEE Trans. Very Large Scale Integr. Syst. | 3 |
| 2025 | A 3.7-nW 248-ppm/°C Subthreshold Self-Biased CMOS Current ReferenceabstractA modified self-biased$\beta $-multiplier-based current reference (CR) circuit is proposed for ultralow-power Internet of Things (IoT) application and is realized without any resistors, bipolar junction transistors (BJTs), or operational amplifiers (OPAs). The proposed CR circuit directly generates the reference current from a modified$\beta $-multiplier, which is biased by a stacked diode-connected MOS transistor (SDMT)-based compensated through a complementary-to-absolute temperature (CTAT) voltage. The proposed CR is implemented in a standard 0.18-$\mu $m CMOS process with an active area of 0.0069 mm2and almost all transistors operate in the subthreshold region. Measurement results show that the temperature coefficient (TC) of the CR is 248 ppm/°C in a temperature range from$- 40~^{\circ }$C to$125~^{\circ }$C. The proposed CR exhibits a line sensitivity (LS) of 0.33%/V within the supply voltage range of 0.8–1.4 V. The output of the CR at room temperature ($25~^{\circ }$C) is 1.84 nA with a power consumption of 3.7 nW. Jingjing Liu 0005, Weijie Ge, Wenji Mo, Bingjun Xiong |
IEEE Trans. Very Large Scale Integr. Syst. | 4 |
| 2024 | A 1.02 ppm/°C Precision Bandgap Reference with High-order Curvature Compensation for Fluorescence DetectionabstractThis paper presents a high precision bandgap reference using high-order curvature compensation to achieve good temperature coefficients over a wide operating range. The proposed compensation circuit employs currents with optimized temperature coefficients to minimize the temperature drift of the output voltage. The proposed bandgap reference is designed using a standard 0.18μm CMOS process. The simulation results demonstrate that the proposed bandgap reference achieved a 1.02ppm/°C from -40°C to 125°C with a supply voltage of 3.3V. With the proposed high-order curvature compensation schemes, the bandgap reference circuit can achieve a start-up time of 7μs and a 85.5dB PSRR at 100Hz. The reference voltage is 1.066V with the precision line sensitivity (LS) of 0.011%/V for supply voltages between 2V and 5V. Bingjun Xiong, Wenji Mo, Jingjing Liu 0005 |
ISCAS | 3 |
| 2024 | A 0.816nW 12.3pS Tunable Low-Gm Transconductor for Bio-electrical Signal AcquisitionabstractA transconductance amplifier with low-Gmis indispensable for applications that acquire low-frequency bioelectric signals. This paper proposes a subthreshold bootstrapped low-Gmtransconductor based on body-input. The input topology of the transconductor consists of two transistors with body inputs and a source degeneration resistor. The outputs of the two transistors are connected to the resistor to bootstrap the voltages at these terminals and increase the equivalent resistance. An area-efficient serial-parallel current division network is further adopted to reduce the Gmof the transconductor. Meanwhile, programming the bias voltage can tune the Gmvalue. The circuit is designed using a standard 0.18 μm CMOS process. Simulations verify the characteristics of the proposed transconductor. The post-layout simulation results show that the transconductor’s Gmvalue is tunable within a range of a few hundred pS. The minimum achievable Gmis 12.3 pS, and the linear input range is ±150 mV. The input referred noise power spectral density (PSD) of the transconductor is 13.7 μV/√Hz. It consumes 0.816 nW of power with 0.8 V supply voltage and occupies an area of 0.0057 mm2. Bingjun Xiong, Wenji Mo, Jingjing Liu 0005 |
ISCAS | 3 |