Using A Cropping Technique or Not: Impacts on SVM-based AMD Detection on OCT Images. - Cheng-En Ko; Po-Han Chen; Wei-Ming Liao; Cheng-Kai Lu; Cheng-Hung Lin; Jing-Wen Liang (AICAS, 2019)

A Two-stage Training Mechanism for the CNN with Trainable Activation Function. - Kun-Chih Jimmy Chen; Jing-Wen Liang (ISOCC, 2020)

Embedded Bearing Fault Detection Platform Design for the Drivetrain System in the Future Industry 4.0 Era. - Kun-Chih Jimmy Chen; Jing-Wen Liang; Yueh-Chi Yang; Hsiang-Ling Tai; Jo-Chiao Ku; Jui-Cheng Wang (VLSI-DAT, 2021)

Dynamic Mapping Mechanism to Compute DNN Models on a Resource-limited NoC Platform. - Kun-Chih Jimmy Chen; Chun-Chuan Wang; Cheng-Kang Tsai; Jing-Wen Liang (VLSI-DAT, 2021)

A Hierarchical K-Means-Assisted Scenario-Aware Reconfigurable Convolutional Neural Network. - Kun-Chih Chen; Ya-Wei Huang; Geng-Ming Liu; Jing-Wen Liang; Yueh-Chi Yang; Yuan-Hao Liao (IEEE Trans. Very Large Scale Integr. Syst., 2021)

Neural Network-Based Anomaly Detection Architecture for Bearing Fault Diagnosis. - M. P. Pavan Kumar; Jing-Wen Liang; Kun-Chih Chen (IEEE Trans. Instrum. Meas., 2025)