Author

Xilin Liu

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Preprint Oct 2026

FPGA Acceleration of CNN-BiLSTM for EEG-Based Sleep Staging Featuring FFT-Based Non-Unit Stride Fast Convolution

Deep learning (DL) models for real-time wearable sleep staging often rely on long-kernel temporal convolutions, a requirement that current accelerators struggle to support efficiently. To overcome this, we present an FPGA-based CNN-BiLSTM accelerator that incorporates several algorithm-hardware co-design techniques to...

Aaron Zhou, Ya-Qian Xu, Chen Chen et al. · 1 citation

Open access Oct 2026

A Mixed-Precision CNN–LSTM Accelerator Featuring Long-Kernel Memory Reuse and Dynamic Quantization for Sleep Staging

This letter presents a mixed-precision CNN–LSTM accelerator for EEG-based sleep staging. To efficiently execute long temporal convolutions, a serpentine dataflow propagates activations between neighboring processing elements (PEs), reducing memory accesses by <inline-formula> <tex-math notation="LaTeX">$6.2\times $ </t...

Xin-Yu Chen, Ya-Qian Xu, Yu-Han Hou et al. · IEEE Solid-State Circuits Le... · 0 citations

Review Open access Jul 2026

Subdermal Insertable Sensors for Health Monitoring: Applications, Challenges, and Emerging Technologies.

With state-of-the-art approaches for achieving biocompatibility, remote powering, and wireless data transmission, the next generation of subdermal biosensors can be developed for unmet needs in chronic disease monitoring.

Haoyuan Zhu, Lin Du, Xilin Liu et al. · Annals of Biomedical Enginee... · 0 citations