Visual Attention in Driving: The Effects of Cognitive Load and Visual Disruption. - Yi-Ching Lee; John D. Lee; Linda Ng Boyle (Hum. Factors, 2007)

A low-power CMOS LNA for ultra-wideband wireless receivers. - Yi-Ching Lee; Jenn-Hwan Tarng (IEICE Electron. Express, 2007)

The Interaction of Cognitive Load and Attention-Directing Cues in Driving. - Yi-Ching Lee; John D. Lee; Linda Ng Boyle (Hum. Factors, 2009)

Building an intelligent provisioning engine for IaaS cloud computing services. - Jia-Bin Yuan; Yi-Ching Lee; Wudy Wu; Hey-Chyi Young; Kuan-Hsiung Liang (APNOMS, 2011)

Mind Wandering Behind the Wheel: Performance and Oculomotor Correlates. - Jibo He; Ensar Becic; Yi-Ching Lee; S. Jason; Jason S. McCarley (Hum. Factors, 2011)

Implementation of Face Detection Using OpenCV for Internet Dressing Room. - Li-Der Chou; Chien-Cheng Chen; Chun-Kai Kui; Der-Ching Chang; Tai-Yu Hsu; Bing-Ling Li; Yi-Ching Lee (EMC/HumanCom, 2013)

Case-Based Prediction of Teen Driver Behavior and Skill. - Santiago Ontañón; Yi-Ching Lee; Sam Snodgrass; Dana Bonfiglio; Flaura K. Winston; Catherine McDonald; Avelino J. Gonzalez (ICCBR, 2014)

Learning to Predict Driver Behavior from Observation. - Santiago Ontañón; Yi-Ching Lee; Sam Snodgrass; Flaura K. Winston; Avelino J. Gonzalez (AAAI Spring Symposia, 2017)

Machine Learning from Observation to Detect Abnormal Driving Behavior in Humans. - Josiah Wong; Lauren Hastings; Kevin Negy; Avelino J. Gonzalez; Santiago Ontañón; Yi-Ching Lee (FLAIRS, 2018)

Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior. - Qingzhe Li; Liang Zhao 002; Yi-Ching Lee; Yanfang Ye 001; Jessica Lin 001; Lingfei Wu 001 (ICDM, 2019)

Contrast Pattern Mining in Paired Multivariate Time Series of a Controlled Driving Behavior Experiment. - Qingzhe Li; Liang Zhao 002; Yi-Ching Lee; Jessica Lin 001 (ACM Trans. Spatial Algorithms Syst., 2020)

User Experience and Analysis of an Autonomous Shuttle Service. - Lova Andersson; Allegra Ayala; Shuan Chan; Kyle Hickerson; Liam Kettle; Lindsey A. Malcein; Yi-Ching Lee (VEHITS, 2021)

CPM: A general feature dependency pattern mining framework for contrast multivariate time series. - Qingzhe Li; Liang Zhao 002; Yi-Ching Lee; Avesta Sasan; Jessica Lin 001 (Pattern Recognit., 2021)

Detection of driver health condition by monitoring driving behavior through machine learning from observation. - Avelino J. Gonzalez; Josiah Wong; Emily M. Thomas; Alec Kerrigan; Lauren Hastings; Andres Posadas; Kevin Negy; Annie S. Wu; Santiago Ontañón; Yi-Ching Lee; Flaura K. Winston (Expert Syst. Appl., 2022)

User Experiences of Well-Being Chatbots. - Liam Kettle; Yi-Ching Lee (Hum. Factors, 2024)