Xilin Liu

Orcid: 0000-0002-9547-3905

Affiliations:
  • University of Toronto, Toronto, Canada


According to our database1, Xilin Liu authored at least 35 papers between 2013 and 2025.

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

Timeline

Legend:

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Online presence:

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Bibliography

2025
15.4 A Neuroprosthetic SoC with Sensory Feedback Featuring Frequency-Splitting-Based Wireless Power Transfer with 200Mb/s 0.67pJ/b Backscatter Data Uplink and Unsupervised Multi-Class Spike Sorting.
Proceedings of the IEEE International Solid-State Circuits Conference, 2025

2024
A Wireless Sensor-Brain Interface System for Tracking and Guiding Animal Behaviors Through Closed-Loop Neuromodulation in Water Mazes.
IEEE J. Solid State Circuits, April, 2024

33.4 A Multi-Loop Neuromodulation Chipset Network with Frequency-Interleaving Front-End and Explainable AI for Memory Studies in Freely Behaving Monkeys.
Proceedings of the IEEE International Solid-State Circuits Conference, 2024

Artificially Intelligent Closed-Loop Neurostimulators: Trade-Offs between Local and Remote Computing.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2024

2023
Fascicle-Selective Ultrasound-Powered Bidirectional Wireless Peripheral Nerve Interface IC.
IEEE Trans. Biomed. Circuits Syst., December, 2023

Flexible Gel-Free Multi-Modal Wireless Sensors With Edge Deep Learning for Detecting and Alerting Freezing of Gait Symptom.
IEEE Trans. Biomed. Circuits Syst., October, 2023

A Wireless Sensor-Brain Interface System for Tracking and Guiding Animal Behaviors Through Goal-Directed Closed-loop Neuromodulation.
Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023

Refine EEG Spectrogram Synthesized by Generative Adversarial Network for Improving The Prediction of Epileptic Seizures.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

A CNN-Transformer Deep Learning Model for Real-time Sleep Stage Classification in an Energy-Constrained Wireless Device<sup>*</sup>.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

Wireless Sensors with Edge Deep Learning for Detecting and Alerting the Freezing of Gait Symptoms in Parkinson's Patients<sup>*</sup>.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

Fascicle-Selective Bidirectional Peripheral Nerve Interface IC with 173dB FOM Noise-Shaping SAR ADCs and 1.38pJ/b Frequency-Multiplying Current-Ripple Radio Transmitter.
Proceedings of the IEEE International Solid- State Circuits Conference, 2023

Design of a Sleep Modulation System with FPGA-Accelerated Deep Learning for Closed-loop Stage-Specific In-Phase Auditory Stimulation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

2022
A 21.3%-Efficiency Clipped-Sinusoid UWB Impulse Radio Transmitter With Simultaneous Inductive Powering and Data Receiving.
IEEE Trans. Biomed. Circuits Syst., December, 2022

A Closed-loop Sleep Modulation System with FPGA-Accelerated Deep Learning.
CoRR, 2022

2021
An Energy-Efficient Compressed Sensing-Based Encryption Scheme for Wireless Neural Recording.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2021

A System-on-Chip for Closed-loop Optogenetic Sleep Modulation.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
A Fully Integrated Sensor-Brain-Machine Interface System for Restoring Somatosensation.
CoRR, 2020

An Energy-efficient Wireless Neural Recording System with Compressed Sensing and Encryption.
CoRR, 2020

2019
Wireless Sensor Brain Machine Interfaces for Closed-loop Neuroscience Studies.
Proceedings of the 13th IEEE International Conference on ASIC, 2019

2017
The Virtual Trackpad: An Electromyography-Based, Wireless, Real-Time, Low-Power, Embedded Hand-Gesture-Recognition System Using an Event-Driven Artificial Neural Network.
IEEE Trans. Circuits Syst. II Express Briefs, 2017

Design of a Closed-Loop, Bidirectional Brain Machine Interface System With Energy Efficient Neural Feature Extraction and PID Control.
IEEE Trans. Biomed. Circuits Syst., 2017

A fully integrated wireless sensor-brain interface system to restore finger sensation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

A wireless neuroprosthetic for augmenting perception through modulated electrical stimulation of somatosensory cortex.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

The next-generation brain machine interface system for neuroscience research and neuroprosthetics development.
Proceedings of the 12th IEEE International Conference on ASIC, 2017

2016
A Fully Integrated Wireless Compressed Sensing Neural Signal Acquisition System for Chronic Recording and Brain Machine Interface.
IEEE Trans. Biomed. Circuits Syst., 2016

Somatosensory encoding with cuneate nucleus microstimulation: Detection of artificial stimuli.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
The PennBMBI: Design of a General Purpose Wireless Brain-Machine-Brain Interface System.
IEEE Trans. Biomed. Circuits Syst., 2015

Design of a low-noise, high power efficiency neural recording front-end with an integrated real-time compressed sensing unit.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

A 12-channel bidirectional neural interface chip with integrated channel-level feature extraction and PID controller for closed-loop operation.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015

2014
Current Mode Image Sensor With Improved Linearity and Fixed-Pattern Noise.
IEEE Trans. Circuits Syst. I Regul. Pap., 2014

A Low-Power Multifunctional CMOS Sensor Node for an Electronic Facade.
IEEE Trans. Circuits Syst. I Regul. Pap., 2014

The PennBMBI: A general purpose wireless Brain-Machine-Brain Interface system for unrestrained animals.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

Logistic-weighted regression improves decoding of finger flexion from electrocorticographic signals.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Design of a net-zero charge neural stimulator with feedback control.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014

2013
A low power multi-mode CMOS image sensor with integrated on-chip motion detection.
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013


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