Cognitive load evaluation of handwriting using stroke-level features. - Kun Yu 001; Julien Epps; Fang Chen 001 (IUI, 2011)

Mental Workload Classification via Online Writing Features. - Kun Yu 001; Julien Epps; Fang Chen 001 (ICDAR, 2013)

Elicitation of mental states and user experience factors in a driving simulator. - Anne Hess; Jessica Jung; Andreas Maier 003; Ronnie Taib; Kun Yu 001; Benjamin Itzstein (Intelligent Vehicles Symposium, 2013)

Human-centric analysis of driver inattention. - Ronnie Taib; Kun Yu 001; Jessica Jung; Anne Hess; Andreas Maier 003 (Intelligent Vehicles Symposium, 2013)

Synchronising Physiological and Behavioural Sensors in a Driving Simulator. - Ronnie Taib; Benjamin Itzstein; Kun Yu 001 (ICMI, 2014)

Combining empirical and machine learning techniques to predict math expertise using pen signal features. - Jianlong Zhou; Kevin Hang; Sharon L. Oviatt; Kun Yu 001; Fang Chen 001 (MLA@ICMI, 2014)

Misplaced Trust: A Bias in Human-Machine Trust Attribution - In Contradiction to Learning Theory. - Dan Conway; Fang Chen 001; Kun Yu 001; Jianlong Zhou; Richard Morris (CHI Extended Abstracts, 2016)

Correlation for user confidence in predictive decision making. - Jianlong Zhou; Syed Z. Arshad; Kun Yu 001; Fang Chen 001 (OZCHI, 2016)

Trust and Reliance Based on System Accuracy. - Kun Yu 001; Shlomo Berkovsky; Dan Conway; Ronnie Taib; Jianlong Zhou; Fang Chen 001 (UMAP, 2016)

Robust Multimodal Cognitive Load Measurement - Fang Chen 001; Jianlong Zhou; Yang Wang 002; Kun Yu 001; Syed Z. Arshad; Ahmad Khawaji; Dan Conway (Springer, 2016)

Indexing Cognitive Load using Blood Volume Pulse Features. - Jianlong Zhou; Syed Z. Arshad; Simon Luo; Kun Yu 001; Shlomo Berkovsky; Fang Chen 001 (CHI Extended Abstracts, 2017)

User Trust Dynamics: An Investigation Driven by Differences in System Performance. - Kun Yu 001; Shlomo Berkovsky; Ronnie Taib; Dan Conway; Jianlong Zhou; Fang Chen 001 (IUI, 2017)

A Qualitative Investigation of Bank Employee Experiences of Information Security and Phishing. - Dan Conway; Ronnie Taib; Mitch Harris; Kun Yu 001; Shlomo Berkovsky; Fang Chen 001 (SOUPS, 2017)

Multimodal behavioral and physiological signals as indicators of cognitive load. - Jianlong Zhou; Kun Yu 001; Fang Chen 001; Yang Wang 002; Syed Z. Arshad (The Handbook of Multimodal-Multisensor Interfaces, Volume 2 (2), 2018)

Dynamic Handwriting Signal Features Predict Domain Expertise. - Sharon L. Oviatt; Kevin Hang; Jianlong Zhou; Kun Yu 001; Fang Chen 001 (ACM Trans. Interact. Intell. Syst., 2018)

Do I Trust a Machine? Differences in User Trust Based on System Performance. - Kun Yu 001; Shlomo Berkovsky; Dan Conway; Ronnie Taib; Jianlong Zhou; Fang Chen 001 (Human and Machine Learning, 2018)

Revealing User Confidence in Machine Learning-Based Decision Making. - Jianlong Zhou; Kun Yu 001; Fang Chen 001 (Human and Machine Learning, 2018)

Physiological Indicators for User Trust in Machine Learning with Influence Enhanced Fact-Checking. - Jianlong Zhou; Huaiwen Hu; Zhidong Li; Kun Yu 001; Fang Chen 001 (CD-MAKE, 2019)

Effects of Influence on User Trust in Predictive Decision Making. - Jianlong Zhou; Zhidong Li; Huaiwen Hu; Kun Yu 001; Fang Chen 001; Zelin Li; Yang Wang 002 (CHI Extended Abstracts, 2019)

Social Engineering and Organisational Dependencies in Phishing Attacks. - Ronnie Taib; Kun Yu 001; Shlomo Berkovsky; Mark W. Wiggins; Piers Bayl-Smith (INTERACT (1), 2019)

Mouse Behavior as an Index of Phishing Awareness. - Kun Yu 001; Ronnie Taib; Marcus A. Butavicius; Kathryn Parsons; Fang Chen 001 (INTERACT (1), 2019)

Do I trust my machine teammate?: an investigation from perception to decision. - Kun Yu 001; Shlomo Berkovsky; Ronnie Taib; Jianlong Zhou; Fang Chen 001 (IUI, 2019)

Analysis and Insights for Myths Circulating on Twitter During the COVID-19 Pandemic. - Shuiqiao Yang; Jiaojiao Jiang; Arindam Pal 001; Kun Yu 001; Fang Chen 001; Shui Yu 001 (IEEE Open J. Comput. Soc., 2020)

Artificial Intelligence in Pilot Training and Education - Towards a Machine Learning Aided Instructor Assistant for Flight Simulators. - Shuiqiao Yang; Kun Yu 001; Thorsten Lammers; Fang Chen 001 (HCI (38), 2021)

Improving Users Engagement Detection using End-to-End Spatio-Temporal Convolutional Neural Networks. - Khaled Saleh; Kun Yu 001; Fang Chen 001 (HRI (Companion), 2021)

Video-Based Student Engagement Estimation via Time Convolution Neural Networks for Remote Learning. - Khaled Saleh; Kun Yu 001; Fang Chen 001 (AI, 2022)

Real-time Attention-Augmented Spatio-Temporal Networks for Video-based Driver Activity Recognition. - Khaled Saleh; Adriana Simona Mihaita; Kun Yu 001; Fang Chen 001 (ITSC, 2022)

Editorial: Recognizing the state of emotion, cognition and action from physiological and behavioral signals. - Siyuan Chen; Youngjun Cho; Kun Yu 001; Laura M. Ferrari; François Brémond (Frontiers Comput. Sci., 2022)

Response to a phishing attack: persuasion and protection motivation in an organizational context. - Piers Bayl-Smith; Ronnie Taib; Kun Yu 001; Mark W. Wiggins (Inf. Comput. Secur., 2022)

Are People with Cyber Security Training Worse at Checking Phishing Email Addresses? Testing the Automaticity of Verifying the Sender's Address. - Daniel G. Conway; Marcus A. Butavicius; Kun Yu 001; Fang Chen 001 (HAISA, 2023)

Variational co-embedding learning for attributed network clustering. - Shuiqiao Yang; Sunny Verma; Borui Cai; Jiaojiao Jiang; Kun Yu 001; Fang Chen 001; Shui Yu 001 (Knowl. Based Syst., 2023)

A Survey on Enhancing Causal Reasoning Ability of Large Language Models. - Xin Li; Zhuo Cai 003; Shoujin Wang; Kun Yu 001; Fang Chen 001 (PAKDD (4), 2025)