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)

Hardware Design of Gaussian Kernel Function for Non-Linear SVM Classification. - Yuanfa Wang; Yu Pang; Huan Huang; Qianneng Zhou; Jiasai Luo (ASICON, 2021)

A desmoking algorithm for endoscopic images based on improved U-Net model. - Jinzhao Lin; Meiqiu Jiang; Yu Pang; Huiqian Wang; Zhu Chen; Chongyuan Yan; Qinghui Liu; Yuanfa Wang (Concurr. Comput. Pract. Exp., 2021)

VLSI design of multiclass classification using sparse extreme learning machine for epilepsy and seizure detection. - Yuanfa Wang; Qianneng Zhou; Jiasai Luo; Yi Lu; Huiqian Wang; Yu Pang; Zhiwei Huang (IEICE Electron. Express, 2022)

Vehicle-Type Recognition Method for Images Based on Improved Faster R-CNN Model. - Tong Bai; Jiasai Luo; Sen Zhou; Yi Lu; Yuanfa Wang (Sensors, 2024)

Research on Real-Time Detail Enhancement Algorithm for Endoscopic Video Images and Hardware Implementation. - Tianci Wu; Yu Pang; Yuanfa Wang; Wenpeng Su (IET Circuits Devices Syst., 2025)