Bingzhao Zhu

According to our database, Bingzhao Zhu authored at least 15 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

XTab: Cross-table Pretraining for Tabular Transformers.

Bingzhao Zhu, Xingjian Shi, Nick Erickson, Mu Li, George Karypis, Mahsa Shoaran

Proceedings of the International Conference on Machine Learning, 2023

Enhancing Epileptic Seizure Detection with EEG Feature Embeddings.

Arman Zarei, Bingzhao Zhu, Mahsa Shoaran

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

2022

NeuralTree: A 256-Channel 0.227-μJ/Class Versatile Neural Activity Classification and Closed-Loop Neuromodulation SoC.

Uisub Shin, Cong Ding, Bingzhao Zhu, Yashwanth Vyza, Alix Trouillet, Emilie C. M. Revol, Stéphanie P. Lacour, Mahsa Shoaran

IEEE J. Solid State Circuits, 2022

NeuralTree: A 256-Channel 0.227μJ/class Versatile Neural Activity Classification and Closed-Loop Neuromodulation SoC.

Uisub Shin, Cong Ding, Bingzhao Zhu, Yashwanth Vyza, Alix Trouillet, Emilie C. M. Revol, Stéphanie P. Lacour, Mahsa Shoaran

CoRR, 2022

Identifying uncertainty states during wayfinding in indoor environments: An EEG classification study.

Bingzhao Zhu, Jesus G. Cruz-Garza, Qi Yang, Mahsa Shoaran, Saleh Kalantari

Adv. Eng. Informatics, 2022

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.

Uisub Shin, Laxmeesha Somappa, Cong Ding, Yashwanth Vyza, Bingzhao Zhu, Alix Trouillet, Stéphanie P. Lacour, Mahsa Shoaran

Proceedings of the IEEE International Solid-State Circuits Conference, 2022

2021

A Low Power Multi-Class Migraine Detection Processor Based on Somatosensory Evoked Potentials.

Zain Taufique, Bingzhao Zhu, Gianluca Coppola, Mahsa Shoaran, Muhammad Awais Bin Altaf

IEEE Trans. Circuits Syst. II Express Briefs, 2021

Closed-Loop Neural Prostheses With On-Chip Intelligence: A Review and a Low-Latency Machine Learning Model for Brain State Detection.

Bingzhao Zhu, Uisub Shin, Mahsa Shoaran

IEEE Trans. Biomed. Circuits Syst., 2021

Tree in Tree: from Decision Trees to Decision Graphs.

Bingzhao Zhu, Mahsa Shoaran

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological Symptom Detection.

Bingzhao Zhu, Mahsa Shoaran

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

An 8.7 μJ/class. FFT accelerator and DNN-based configurable SoC for Multi-Class Chronic Neurological Disorder Detection.

Zain Taufique, Bingzhao Zhu, Gianluca Coppola, Mahsa Shoaran, Wala Saadeh, Muhammad Awais Bin Altaf

Proceedings of the IEEE Asian Solid-State Circuits Conference, 2021

2020

ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification.

Bingzhao Zhu, Masoud Farivar, Mahsa Shoaran

IEEE Trans. Biomed. Circuits Syst., 2020

Closed-Loop Neural Interfaces with Embedded Machine Learning.

Bingzhao Zhu, Uisub Shin, Mahsa Shoaran

Proceedings of the 27th IEEE International Conference on Electronics, Circuits and Systems, 2020

2019

Cost-Efficient Classification for Neurological Disease Detection.

Bingzhao Zhu, Milad Taghavi, Mahsa Shoaran

Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

Hardware-Efficient Seizure Detection.

Bingzhao Zhu, Mahsa Shoaran

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019