Xing Liu

Orcid: 0009-0000-3260-8019

Affiliations:
  • Westlake University, School of Engineering, Hangzhou, Zhejiang, China
  • Center of Excellence in Biomedical Research on Advanced Integrated-onchips Neurotechnologies (CenBRAIN Neurotech), Hangzhou, Zhejiang, China
  • Fudan University, Department of microelectronics science and engineering, Shanghai, China (former)


According to our database1, Xing Liu authored at least 11 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
An On-Chip Reconfigurable Front-End for Ultra-Low-Power RF Energy Harvesting.
IEEE Trans. Circuits Syst. II Express Briefs, November, 2025

Efficient Self-Adaptive Pseudo-Resistor with Rapid Settling and High Linearity for Neurorecording Front-End Circuits.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

2024
A Neuron-Inspired 0.0032mm<sup>2</sup>-1.38μW/Ch Wireless Implantable Neural Interface with Direct Multiplexing Front-End and Event-Driven Spike Detection and Transmission.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2024

A 34 μW and 3.4 pJ/b IR-UWB Transmitter Featuring Spectrum Tunability for Brain-Machine Interfaces.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2024

A Reconfigurable RF Energy Harvesting Front-end Interface for Biomedical Applications.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2024

2023
Minimally Invasive Hypoglossal Nerve Stimulator Enabled by ECG Sensor and WPT to Manage Obstructive Sleep Apnea.
Sensors, November, 2023

An Energy-Efficient Small-Area Configurable Analog Front-End Interface for Diverse Biosignals Recording.
IEEE Trans. Biomed. Circuits Syst., August, 2023

Wireless Data Transceivers for Brain-machine Interfaces.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

A Clockless Robust Bionic Spike Detector for Implantable Brain-Computer Interfaces.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

NeuroBMI: A New Neuromorphic Implantable Wireless Brain Machine Interface with A 0.48 µW Event-Driven Noise-Tolerant Spike Detector.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022
A Power-Efficient Source-Follower Based Tunable Pseudo-RC Low-Pass Filter for Wearable Biomedical Applications.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022


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