Tong Wu

Affiliations:
  • University of Minnesota, Department of Biomedical Engineering, Minneapolis, USA
  • National University of Singapore, Department of Electrical and Computer Engineering (former)


According to our database1, Tong Wu authored at least 24 papers between 2013 and 2022.

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Bibliography

2022
Artificial Intelligence Enables Real-Time and Intuitive Control of Prostheses via Nerve Interface.
CoRR, 2022

2021
OA-MedSQL: Order-Aware Medical Sequence Learning for Clinical Outcome Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
A Wide Dynamic Range Neural Data Acquisition System With High-Precision Delta-Sigma ADC and On-Chip EC-PC Spike Processor.
IEEE Trans. Biomed. Circuits Syst., 2020

2019
Representation Learning of EHR Data via Graph-Based Medical Entity Embedding.
CoRR, 2019

Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-Based Patient Similarity Learning.
CoRR, 2019

Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model.
CoRR, 2019

Learning to Sort: Few-shot Spike Sorting with Adversarial Representation Learning.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Block-Sparse Modeling for Compressed Sensing of Neural Action Potentials and Local Field Potentials.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
On-Chip Neural Data Compression Based On Compressed Sensing With Sparse Sensing Matrices.
IEEE Trans. Biomed. Circuits Syst., 2018

A Low-Noise, Wireless, Frequency-Shaping Neural Recorder.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

Deep Compressive Autoencoder for Action Potential Compression in Large-Scale Neural Recording.
CoRR, 2018

A Lightweight Deep Compressive Model for Large-Scale Spike Compression.
Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018

2017
A Streaming PCA VLSI Chip for Neural Data Compression.
IEEE Trans. Biomed. Circuits Syst., 2017

A 400 MHz Wireless Neural Signal Processing IC With 625× On-Chip Data Reduction and Reconfigurable BFSK/QPSK Transmitter Based on Sequential Injection Locking.
IEEE Trans. Biomed. Circuits Syst., 2017

2016
Neuronix enables continuous, simultaneous neural recording and electrical microstimulation.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Hardware efficient, deterministic QCAC matrix based compressed sensing encoder architecture for wireless neural recording application.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016

A streaming PCA based VLSI chip for neural data compression.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016

A programmable fully-integrated microstimulator for neural implants and instrumentation.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016

2015
A nonparametric neural signal processor for online data compression and power management.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015

2014
A Frequency Shaping Neural Recorder With 3 pF Input Capacitance and 11 Plus 4.5 Bits Dynamic Range.
IEEE Trans. Biomed. Circuits Syst., 2014

Power-efficient VLSI implementation of a feature extraction engine for spike sorting in neural recording and signal processing.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

An 8-channel neural spike processing IC with unsupervised closed-loop control based on spiking probability estimation.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

A power efficient frequency shaping neural recorder with automatic bandwidth adjustment.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2014

2013
A multichannel integrated circuit for neural spike detection based on EC-PC threshold estimation.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013


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