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Bingzhao Zhu
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2020 – today
- 2023
- [c9]Arman Zarei, Bingzhao Zhu, Mahsa Shoaran:
Enhancing Epileptic Seizure Detection with EEG Feature Embeddings. BioCAS 2023: 1-5 - [c8]Bingzhao Zhu, Xingjian Shi, Nick Erickson, Mu Li, George Karypis, Mahsa Shoaran:
XTab: Cross-table Pretraining for Tabular Transformers. ICML 2023: 43181-43204 - [i7]Bingzhao Zhu, Xingjian Shi, Nick Erickson, Mu Li, George Karypis, Mahsa Shoaran:
XTab: Cross-table Pretraining for Tabular Transformers. CoRR abs/2305.06090 (2023) - 2022
- [j5]Bingzhao Zhu
, Jesus G. Cruz-Garza
Identifying uncertainty states during wayfinding in indoor environments: An EEG classification study. Adv. Eng. Informatics 54: 101718 (2022) - [j4]Uisub Shin
NeuralTree: A 256-Channel 0.227-μJ/Class Versatile Neural Activity Classification and Closed-Loop Neuromodulation SoC. IEEE J. Solid State Circuits 57(11): 3243-3257 (2022) - [c7]Uisub Shin, Laxmeesha Somappa, Cong Ding, Yashwanth Vyza, Bingzhao Zhu, Alix Trouillet
A 256-Channel 0.227µJ/class Versatile Brain Activity Classification and Closed-Loop Neuromodulation SoC with 0.004mm2-1.51 µW/channel Fast-Settling Highly Multiplexed Mixed-Signal Front-End. ISSCC 2022: 338-340 - [i6]Uisub Shin, Cong Ding, Bingzhao Zhu, Yashwanth Vyza, Alix Trouillet
NeuralTree: A 256-Channel 0.227μJ/class Versatile Neural Activity Classification and Closed-Loop Neuromodulation SoC. CoRR abs/2205.06090 (2022) - 2021
- [j3]Bingzhao Zhu
Closed-Loop Neural Prostheses With On-Chip Intelligence: A Review and a Low-Latency Machine Learning Model for Brain State Detection. IEEE Trans. Biomed. Circuits Syst. 15(5): 877-897 (2021) - [j2]Zain Taufique
A Low Power Multi-Class Migraine Detection Processor Based on Somatosensory Evoked Potentials. IEEE Trans. Circuits Syst. II Express Briefs 68(5): 1720-1724 (2021) - [c6]Zain Taufique
An 8.7 μJ/class. FFT accelerator and DNN-based configurable SoC for Multi-Class Chronic Neurological Disorder Detection. A-SSCC 2021: 1-3 - [c5]Bingzhao Zhu
Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological Symptom Detection. NER 2021: 181-184 - [c4]Bingzhao Zhu, Mahsa Shoaran:
Tree in Tree: from Decision Trees to Decision Graphs. NeurIPS 2021: 13707-13718 - [i5]Bingzhao Zhu, Mahsa Shoaran:
Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological Symptom Detection. CoRR abs/2103.00606 (2021) - [i4]Bingzhao Zhu, Uisub Shin, Mahsa Shoaran:
Closed-Loop Neural Prostheses with On-Chip Intelligence: A Review and A Low-Latency Machine Learning Model for Brain State Detection. CoRR abs/2109.05848 (2021) - [i3]Bingzhao Zhu, Mahsa Shoaran:
Tree in Tree: from Decision Trees to Decision Graphs. CoRR abs/2110.00392 (2021) - 2020
- [j1]Bingzhao Zhu
ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification. IEEE Trans. Biomed. Circuits Syst. 14(4): 692-704 (2020) - [c3]Bingzhao Zhu
Closed-Loop Neural Interfaces with Embedded Machine Learning. ICECS 2020: 1-4 - [i2]Bingzhao Zhu, Masoud Farivar, Mahsa Shoaran:
ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification. CoRR abs/2006.07900 (2020) - [i1]Bingzhao Zhu, Uisub Shin, Mahsa Shoaran:
Closed-Loop Neural Interfaces with Embedded Machine Learning. CoRR abs/2010.09457 (2020)
2010 – 2019
- 2019
- [c2]Bingzhao Zhu
Hardware-Efficient Seizure Detection. ACSSC 2019: 2040-2043 - [c1]Bingzhao Zhu
Cost-Efficient Classification for Neurological Disease Detection. BioCAS 2019: 1-4
Coauthor Index
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