no code implementations • 3 May 2024 • Chenqi Li, Timothy Denison, Tingting Zhu
Advancements in wearable sensor technologies and the digitization of medical records have contributed to the unprecedented ubiquity of biomedical time series data.
no code implementations • 17 Oct 2022 • Chenqi Li, Yuan Ren, Bingbing Liu
To tackle the first challenge, we propose FPA raycasting and surrogate model raydrop.
1 code implementation • 20 Jun 2022 • Chenqi Li, Corey Lammie, Xuening Dong, Amirali Amirsoleimani, Mostafa Rahimi Azghadi, Roman Genov
During the past two decades, epileptic seizure detection and prediction algorithms have evolved rapidly.
no code implementations • 18 Jan 2022 • Corey Lammie, Jason K. Eshraghian, Chenqi Li, Amirali Amirsoleimani, Roman Genov, Wei D. Lu, Mostafa Rahimi Azghadi
The impact of device and circuit-level effects in mixed-signal Resistive Random Access Memory (RRAM) accelerators typically manifest as performance degradation of Deep Learning (DL) algorithms, but the degree of impact varies based on algorithmic features.