An embedded analog spatial filter design of the current-mode CMOS image sensor. - Pei-Yung Hsiao; Yu-Chun Hsu; Wen-Ta Lee; Chia-Chun Tsai; Chia-Hao Lee (IEEE Trans. Consumer Electron., 2004)

Training Designers of Real-World Products: Scenario Approach in Industrial Design Curriculum. - Yu-Chun Hsu (HCI (9), 2011)

Recovering the mechanical properties of denatured intervertebral discs through Platelet-Rich Plasma therapy. - Kinda Khalaf; Mohammad Nikkhoo; Ya-Wen Kuo; Yu-Chun Hsu; Mohamad Parnianpour; Naira Campbell-Kyureghyan; Mohammad Haghpanahi; Jaw-Lin Wang (EMBC, 2015)

Edventure: Gamification for collaborative problem design and solving. - Chang-Hung Wang; Yu-Chun Hsu; Ping-Cheng Yeh; Chia-Yu Lin; I-Wei Lai (ITHET, 2016)

Biomechanical evaluation of reconstruction plates with locking, nonlocking, and hybrid screws configurations in calcaneal fracture: a finite element model study. - Ching-Hsuan Chen; Chinghua Hung; Yu-Chun Hsu; Chen-Sheng Chen; Chao-Ching Chiang (Medical Biol. Eng. Comput., 2017)

Interaction with proactive and reactive agents in box manipulation tasks in virtual environments. - Kuan-Yu Liu; Matias Volonte; Yu-Chun Hsu; Sabarish V. Babu; Sai-Keung Wong (Comput. Animat. Virtual Worlds, 2019)

Real-time Crop Classification Using Edge Computing and Deep Learning. - Ming-Der Yang; Hsin-Hung Tseng; Yu-Chun Hsu; Wei Chen Tseng (CCNC, 2020)

Effects of Interacting with a Crowd of Emotional Virtual Humans on Users' Affective and Non-Verbal Behaviors. - Matias Volonte; Yu-Chun Hsu; Kuan-Yu Liu; Joe P. Mazer; Sai-Keung Wong; Sabarish V. Babu (VR, 2020)

Adaptive autonomous UAV scouting for rice lodging assessment using edge computing with deep learning EDANet. - Ming-Der Yang; Jayson G. Boubin; Hui Ping Tsai; Hsin-Hung Tseng; Yu-Chun Hsu; Christopher Stewart (Comput. Electron. Agric., 2020)

Semantic Segmentation Using Deep Learning with Vegetation Indices for Rice Lodging Identification in Multi-date UAV Visible Images. - Ming-Der Yang; Hsin-Hung Tseng; Yu-Chun Hsu; Hui Ping Tsai (Remote. Sens., 2020)

Assessment of Rice Developmental Stage Using Time Series UAV Imagery for Variable Irrigation Management. - Chin-Ying Yang; Ming-Der Yang; Wei-Cheng Tseng; Yu-Chun Hsu; Guan-Sin Li; Ming-Hsin Lai; Dong-Hong Wu; Hsiu-Ying Lu (Sensors, 2020)

The Combination of Graph Neuron Network and Multi-Task Learning Model for Cancer Drug Combination Prediction. - Kanglin Hsieh; Xiaoqian Jiang; Yejin Kim; Yu-Chun Hsu (AMIA, 2021)

Effects of Language Familiarity in Simulated Natural Dialogue with a Virtual Crowd of Digital Humans on Emotion Contagion in Virtual Reality. - Matias Volonte; Chang-Chun Wang; Elham Ebrahimi; Yu-Chun Hsu; Kuan-Yu Liu; Sai-Keung Wong; Sabarish V. Babu (VR, 2021)

A UAV Open Dataset of Rice Paddies for Deep Learning Practice. - Ming-Der Yang; Hsin-Hung Tseng; Yu-Chun Hsu; Chin-Ying Yang; Ming-Hsin Lai; Dong-Hong Wu (Remote. Sens., 2021)

Hybrid Deep Learning Models with Sparse Enhancement Technique for Detection of Newly Grown Tree Leaves. - Shih-Yu Chen; Chinsu Lin; Guan-Jie Li; Yu-Chun Hsu; Keng-Hao Liu (Sensors, 2021)

Assessment of Grain Harvest Moisture Content Using Machine Learning on Smartphone Images for Optimal Harvest Timing. - Ming-Der Yang; Yu-Chun Hsu; Wei-Cheng Tseng; Chian-Yu Lu; Chin-Ying Yang; Ming-Hsin Lai; Dong-Hong Wu (Sensors, 2021)

Rice Seedling Detection in UAV Images Using Transfer Learning and Machine Learning. - Hsin-Hung Tseng; Ming-Der Yang; R. Saminathan; Yu-Chun Hsu; Chin-Ying Yang; Dong-Hong Wu (Remote. Sens., 2022)

Single-plant broccoli growth monitoring using deep learning with UAV imagery. - Cheng-Ju Lee; Ming-Der Yang; Hsin-Hung Tseng; Yu-Chun Hsu; Yu Sung; Wei-Ling Chen (Comput. Electron. Agric., 2023)

Non-invasive arterial blood pressure measurement and SpO2 estimation using PPG signal: a deep learning framework. - Yan Chu 005; Kaichen Tang; Yu-Chun Hsu; Tongtong Huang; Dulin Wang; Wentao Li; Sean I. Savitz; Xiaoqian Jiang; Shayan Shams (BMC Medical Informatics Decis. Mak., 2023)

Explainable Artificial Intelligence Approach to Predict Student Entrepreneurial Competency. - Priyanka C. Bhatt; Vinayak A. Drave; Yu-Chun Hsu; Kuei-Kuei Lai (ISPR (1), 2024)

FSLearning: An Efficient Federated Split Learning Framework for Privacy-Preserving Disease Prediction. - Bin Li; Xiaoqian Jiang; Yu-Chun Hsu; Arif Ozgun Harmanci; Hongchang Gao; Xinghua Shi (AIME (1), 2025)

Precision monitoring of rice nitrogen fertilizer levels based on machine learning and UAV multispectral imagery. - Ming-Der Yang; Yu-Chun Hsu; Yi-Hsuan Chen; Chin-Ying Yang; Kai-Yun Li (Comput. Electron. Agric., 2025)

Enhancing grain moisture prediction in multiple crop seasons using domain adaptation AI. - Ming-Der Yang; Yu-Chun Hsu; Tsai-Ting Liu; Han-Hui Huang (Comput. Electron. Agric., 2025)

Precision assessment of rice grain moisture content using UAV multispectral imagery and machine learning. - Ming-Der Yang; Yu-Chun Hsu; Wei-Cheng Tseng; Hsin-Hung Tseng; Ming-Hsin Lai (Comput. Electron. Agric., 2025)

Universal representations in cardiovascular ECG assessment: A self-supervised learning approach. - Zhi-Yong Liu; Ching-Heng Lin; Yu-Chun Hsu; Jung-Sheng Chen; Po-Cheng Chang; Ming-Shien Wen; Chang-Fu Kuo (Int. J. Medical Informatics, 2025)

Robust privacy amidst innovation with large language models through a critical assessment of the risks. - Yao-Shun Chuang; Atiquer Rahman Sarkar; Yu-Chun Hsu; Noman Mohammed; Xiaoqian Jiang (J. Am. Medical Informatics Assoc., 2025)

Technology Convergence Assessment by an Integrated Approach of BERT Topic Modeling and Association Rule Mining. - Priyanka C. Bhatt; Yu-Chun Hsu; Kuei-Kuei Lai; Vinayak A. Drave (IEEE Trans. Engineering Management, 2025)