Hardware Design of Seizure Detection Based on Wavelet Transform and Sample Entropy. - Yuanfa Wang; Zunchao Li; Lichen Feng; Chuang Wang 004; Wen Jing; Yefei Zhang (J. Circuits Syst. Comput., 2016)

Automatic Detection of Epilepsy and Seizure Using Multiclass Sparse Extreme Learning Machine Classification. - Yuanfa Wang; Zunchao Li; Lichen Feng; Chuang Zheng; Wenhao Zhang 004 (Comput. Math. Methods Medicine, 2017)

Hardware design of multiclass SVM classification for epilepsy and epileptic seizure detection. - Yuanfa Wang; Zunchao Li; Lichen Feng; Hailong Bai; Chuang Wang 004 (IET Circuits Devices Syst., 2018)

VLSI Design of SVM-Based Seizure Detection System With On-Chip Learning Capability. - Lichen Feng; Zunchao Li; Yuanfa Wang (IEEE Trans. Biomed. Circuits Syst., 2018)

A Fast On-Chip SVM-Training System With Dual-Mode Configurable Pipelines and MSMO Scheduler. - Lichen Feng; Zunchao Li; Yuanfa Wang; Chuang Wang 004 (IEEE Trans. Circuits Syst. I Regul. Pap., 2019)

Fast automated on-chip artefact removal of EEG for seizure detection based on ICA-R algorithm and wavelet denoising. - Lichen Feng; Zunchao Li; Jian Zhang (IET Circuits Devices Syst., 2020)

VLSI Design of a Fast One-Stage Independent Component Extracting System Based on ICA-R Algorithm. - Zunchao Li; Lichen Feng; Jian Zhang; Xinyi Li (J. Circuits Syst. Comput., 2021)

An efficient EEGNet processor design for portable EEG-Based BCIs. - Lichen Feng; Liying Yang 001; Shubin Liu; Chenxi Han; Yueqi Zhang; Zhangming Zhu (Microelectron. J., 2022)

An Efficient Multilayer Spiking Convolutional Neural Network Processor for Object Recognition With Low Bitwidth and Channel-Level Parallelism. - Lichen Feng; Yueqi Zhang; Zhangming Zhu (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

FPGA-Based Implementation of an Event-Driven Spiking Multi-Kernel Convolution Architecture. - Jian Zhang; Lichen Feng; Tengbo Wang; Wei Shi; Yuechao Wang; Guohe Zhang (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Memory-Efficient Deformable Convolution Based Joint Denoising and Demosaicing for UHD Images. - Juntao Guan; Rui Lai; Yang Lu; Yangang Li; Huanan Li; Lichen Feng; Yintang Yang; Lin Gu 003 (IEEE Trans. Circuits Syst. Video Technol., 2022)

An Efficient Model-Compressed EEGNet Accelerator for Generalized Brain-Computer Interfaces With Near Sensor Intelligence. - Lichen Feng; Hongwei Shan; Yueqi Zhang; Zhangming Zhu (IEEE Trans. Biomed. Circuits Syst., 2022)

An Interpretable Pixel Intensity Reconstruction Model for Asynchronous Event Camera. - Hongwei Shan; Lichen Feng; Yueqi Zhang; Zhangming Zhu (AICAS, 2023)

Towards neuromorphic brain-computer interfaces: Model and circuit Co-design of the spiking EEGNet. - Lichen Feng; Hongwei Shan; Zhouhua Fan; Yueqi Zhang; Liying Yang 001; Zhangming Zhu (Microelectron. J., 2023)

A configurable area-efficient LCoS chip design with centrosymmetric pixel array. - Tianhu Zhao; Yuhua Liang; Lichen Feng (Microelectron. J., 2023)

An All-Digital Background Calibration Technique for M-Channel Downsampling Time-Interleaved ADCs Based on Interpolation. - Chenxi Han; Shubin Liu; Yuhao Zhang; Lichen Feng; Hongzhi Liang; Zhangming Zhu (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Compact seizure detection based on spiking neural network and support vector machine for efficient neuromorphic implementation. - Hongwei Shan; Lichen Feng; Yueqi Zhang; Liying Yang 001; Zhangming Zhu (Biomed. Signal Process. Control., 2023)

A 0.40pJ/Spike 10μs-Latency Asynchronous Spiking Neural Network with Compact Nonideality-Tolerating CIM-Synapses for Always-On Near-Sensor AI. - Lichen Feng; Hongwei Shan; Libo Qian; Zhangming Zhu (A-SSCC, 2024)

A 0.64mm2Sensor Size, 32.5μg/√Hz Noise Floor, High Efficiency MEMS Capacitive Accelerometer Using High-Voltage Pulse Excitation Technique. - Longjie Zhong; Pengpeng Shang; Shubin Liu; Wenfei Cao; Lichen Feng; Yuhua Liang; Zhangming Zhu (CICC, 2024)

An AER-based spiking convolution neural network system for image classification with low latency and high energy efficiency. - Yueqi Zhang; Lichen Feng; Hongwei Shan; Liying Yang 001; Zhangming Zhu (Neurocomputing, 2024)

A Review of Sub- μ W CMOS Analog Computing Circuits for Instant 1-Dimensional Audio Signal Processing in Always-On Edge Devices. - Zhangming Zhu; Lichen Feng (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

A 109-GOPs/W FPGA-Based Vision Transformer Accelerator With Weight-Loop Dataflow Featuring Data Reusing and Resource Saving. - Yueqi Zhang; Lichen Feng; Hongwei Shan; Zhangming Zhu (IEEE Trans. Circuits Syst. Video Technol., 2024)

A 0.000159 mm2 2.9 μm-pitch 4.3fJ/Conv 6-bit SAR ADC for high throughput parallel readout of analog SRAM computing-in-memory. - Lin Wu; Lichen Feng; Yunlong Liu; Libo Qian; Yinshui Xia; Zhangming Zhu (Microelectron. J., 2025)