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Tong Wu
Tong Wu
Sr. AI Scientist at Advanced Analytics, IQVIA Inc.
Verified email at us.imshealth.com
Title
Cited by
Cited by
Year
Human motor decoding from neural signals: a review
W Tam, T Wu, Q Zhao, E Keefer, Z Yang
BMC Biomedical Engineering 1 (22), 2019
622019
On-chip neural data compression based on compressed sensing with sparse sensing matrices
W Zhao, B Sun, T Wu, Z Yang
IEEE transactions on biomedical circuits and systems 12 (1), 242-254, 2018
512018
Deep compressive autoencoder for action potential compression in large-scale neural recording
T Wu, W Zhao, E Keefer, Z Yang
Journal of neural engineering 15 (6), 066019, 2018
472018
A frequency shaping neural recorder with 3 pF input capacitance and 11 plus 4.5 bits dynamic range
J Xu, T Wu, W Liu, Z Yang
IEEE transactions on biomedical circuits and systems 8 (4), 510-527, 2014
432014
A bioelectric neural interface towards intuitive prosthetic control for amputees
AT Nguyen, J Xu, M Jiang, DK Luu, T Wu, W Tam, W Zhao, MW Drealan, ...
Journal of neural engineering 17 (6), 066001, 2020
332020
A streaming PCA VLSI chip for neural data compression
T Wu, W Zhao, H Guo, HH Lim, Z Yang
IEEE transactions on biomedical circuits and systems 11 (6), 1290-1302, 2017
242017
Leveraging graph-based hierarchical medical entity embedding for healthcare applications
T Wu, Y Wang, Y Wang, E Zhao, Y Yuan
Scientific reports 11 (1), 5858, 2021
232021
A 400 MHz Wireless Neural Signal Processing IC With 625 On-Chip Data Reduction and Reconfigurable BFSK/QPSK Transmitter Based on Sequential Injection …
KH Teng, T Wu, X Liu, Z Yang, CH Heng
IEEE Transactions on Biomedical Circuits and Systems 11 (3), 547-557, 2017
222017
A 400 MHz Wireless Neural Signal Processing IC With 625× On-Chip Data Reduction and Reconfigurable BFSK/QPSK Transmitter Based on Sequential Injection Locking.
KH Teng, T Wu, Z Yang, CH Heng, X Liu
Solid-State Circuits Conference (A-SSCC), 2015 IEEE Asian, 1-4, 2015
22*2015
A 16-channel nonparametric spike detection ASIC based on EC-PC decomposition
T Wu, J Xu, Y Lian, A Khalili, A Rastegarnia, C Guan, Z Yang
IEEE transactions on biomedical circuits and systems 10 (1), 3-17, 2015
222015
Neuronix enables continuous, simultaneous neural recording and electrical microstimulation
Z Yang, J Xu, AT Nguyen, T Wu, W Zhao, W Tam
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
202016
Artificial Intelligence Enables Real-Time and Intuitive Control of Prostheses via Nerve Interface
DK Luu, AT Nguyen, M Jiang, MW Drealan, J Xu, T Wu, W Tam, W Zhao, ...
IEEE Transactions on Biomedical Engineering 69 (10), 3051-3063, 2022
192022
A wide dynamic range neural data acquisition system with high-precision delta-sigma ADC and on-chip EC-PC spike processor
J Xu, AT Nguyen, T Wu, W Zhao, DK Luu, Z Yang
IEEE transactions on biomedical circuits and systems 14 (3), 425-440, 2020
182020
A low-noise, wireless, frequency-shaping neural recorder
J Xu, AT Nguyen, W Zhao, H Guo, T Wu, H Wiggins, EW Keefer, H Lim, ...
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (2 …, 2018
182018
On the robustness of EC–PC spike detection method for online neural recording
Y Zhou, T Wu, A Rastegarnia, C Guan, E Keefer, Z Yang
Journal of neuroscience methods 235, 316-330, 2014
162014
A new system architecture for future long-term high-density neural recording
J Xu, T Wu, Z Yang
IEEE Transactions on Circuits and Systems II: Express Briefs 60 (7), 402-406, 2013
152013
Representation Learning of EHR Data via Graph-Based Medical Entity Embedding
T Wu, Y Wang, Y Wang, E Zhao, Y Yuan, Z Yang
arXiv preprint arXiv:1910.02574, 2019
142019
Power-efficient VLSI implementation of a feature extraction engine for spike sorting in neural recording and signal processing
T Wu, Z Yang
2014 13th International Conference on Control Automation Robotics & Vision …, 2014
122014
Predicting the risk of stroke in patients with late-onset epilepsy: A machine learning approach
K Kostev, T Wu, Y Wang, K Chaudhuri, C Tanislav
Epilepsy & Behavior 122, 2021
102021
Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-Based Patient Similarity Learning
Y Wang, T Wu, Y Wang, G Wang
arXiv preprint arXiv:1909.11913, 2019
102019
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