Low-cost logarithmic CMOS image sensing by nonlinear analog-to-digital conversion. - Ying-Chieh Chuang; Shih-Fang Chen; Shi-Yu Huang; Ya-Chin King (IEEE Trans. Consumer Electron., 2005)

Uncertainty Evaluation of a 10 V RMS Sampling Measurement System Using the AC Programmable Josephson Voltage Standard. - Shih-Fang Chen; Yasutaka Amagai; Michitaka Maruyama; Nobu-hisa Kaneko (IEEE Trans. Instrum. Meas., 2015)

Calibration System for Zener Voltage Standards Using a 10 V Programmable Josephson Voltage Standard at NMIJ. - Michitaka Maruyama; Akio Iwasa; Hirotake Yamamori; Shih-Fang Chen; Chiharu Urano; Nobu-hisa Kaneko (IEEE Trans. Instrum. Meas., 2015)

Non-contact resistance measurement of transparent electrodes deposited on flexible display substrates under repetitive bending test by terahertz time domain spectroscopy. - Bor-Jiunn Wen; Tze-An Liu; Hsing-Cheng Yu; Shih-Fang Chen; Yuh-Chuan Cheng (Displays, 2016)

On precisely relating the growth of Phalaenopsis leaves to greenhouse environmental factors by using an IoT-based monitoring system. - Min-Sheng Liao; Shih-Fang Chen; Cheng-Ying Chou; Hsun-Yi Chen; Shih-Hao Yeh; Yu-Chi Chang; Joe-Air Jiang (Comput. Electron. Agric., 2017)

Localizing plucking points of tea leaves using deep convolutional neural networks. - Yu-Ting Chen; Shih-Fang Chen (Comput. Electron. Agric., 2020)

Developing a guiding and growth status monitoring system for riding-type tea plucking machine using fully convolutional networks. - Yu-Kai Lin; Shih-Fang Chen; Yan-Fu Kuo; Ten-Lin Liu; Shih-Yu Lee (Comput. Electron. Agric., 2021)

A Collaborative Robot for Tea Harvesting with Adjustable Autonomy. - Yang-Lun Lai; Po-Lun Chen; Tsung-Chen Su; Wei-Yang Hwang; Shih-Fang Chen; Ping-Lang Yen (Cybern. Syst., 2022)

Identifying tomato leaf diseases under real field conditions using convolutional neural networks and a chatbot. - Hsueh-Hung Cheng; Yu-Lun Dai; Yun Lin; Hao-Chun Hsu; Chu-Ping Lin; Jin-Hsing Huang; Shih-Fang Chen; Yan-Fu Kuo (Comput. Electron. Agric., 2022)

Design of an basis-projected layer for sparse datasets in deep learning training using gc-ms spectra as a case study. - Yu-Tang Chang; Shih-Fang Chen (CoRR, 2024)

Improving Visual Object Tracking Through Visual Prompting. - Shih-Fang Chen; Jun-Cheng Chen; I-Hong Jhuo; Yen-Yu Lin (IEEE Trans. Multim., 2025)

EB-gMCR: Energy-Based Generative Modeling for Signal Unmixing and Multivariate Curve Resolution. - Yu-Tang Chang; Shih-Fang Chen (CoRR, 2025)