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ORCIDKun Yu 0001
Person information
- affiliation: University of Technology Sydney, Data Science Institute, Ultimo, Australia
- affiliation: CSIRO, Data61, St. Eveleigh, Australia
- affiliation: National ICT, ATP Laboratory, Sydney, Australia
- affiliation (PhD 2012): University of New South Wales, School of Electrical Engineering and Telecommunications, Sydney, Australia
Other persons with the same name
- Kun Yu — disambiguation page
- Kun Yu 0002 — Northeastern University, School of Biomedical and Information Engineering, Key Laboratory of Intelligent Computing in Medical Image (MIIC), Shenyang, China
- Kun Yu 0003
![[0000-0001-7587-8027]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-7587-8027")
— China University of Mining and Technology, School of Information and Control Engineering, Xuzhou Key Laboratory of Artificial Intelligence and Big Data, Engineering Research Center of Intelligent Control for Underground Space, Xuzhou, China (and 1 more) - Kun Yu 0004 — Jiangsu Academy of Agricultural Sciences, Institute of Agricultural Information, Nanjing, China
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2020 – today
- 2023
[j5]Shuiqiao Yang, Sunny Verma, Borui Cai, Jiaojiao Jiang, Kun Yu, Fang Chen, Shui Yu:
Variational co-embedding learning for attributed network clustering. Knowl. Based Syst. 270: 110530 (2023)- [c22]Daniel G. Conway, Marcus A. Butavicius, Kun Yu, Fang Chen:
Are People with Cyber Security Training Worse at Checking Phishing Email Addresses? Testing the Automaticity of Verifying the Sender's Address. HAISA 2023: 310-323 - 2022
- [j4]Siyuan Chen, Youngjun Cho, Kun Yu, Laura M. Ferrari, François Brémond:
Editorial: Recognizing the state of emotion, cognition and action from physiological and behavioral signals. Frontiers Comput. Sci. 4 (2022) - [j3]Piers Bayl-Smith, Ronnie Taib, Kun Yu, Mark W. Wiggins:
Response to a phishing attack: persuasion and protection motivation in an organizational context. Inf. Comput. Secur. 30(1): 63-78 (2022) - [c21]Khaled Saleh, Kun Yu, Fang Chen:
Video-Based Student Engagement Estimation via Time Convolution Neural Networks for Remote Learning. AI 2022: 658-667 - [c20]Khaled Saleh, Adriana Simona Mihaita, Kun Yu, Fang Chen:
Real-time Attention-Augmented Spatio-Temporal Networks for Video-based Driver Activity Recognition. ITSC 2022: 1579-1585 - 2021
- [c19]Shuiqiao Yang, Kun Yu, Thorsten Lammers, Fang Chen:
Artificial Intelligence in Pilot Training and Education - Towards a Machine Learning Aided Instructor Assistant for Flight Simulators. HCI (38) 2021: 581-587 - [c18]Khaled Saleh, Kun Yu, Fang Chen:
Improving Users Engagement Detection using End-to-End Spatio-Temporal Convolutional Neural Networks. HRI (Companion) 2021: 190-194 - [i1]Shuiqiao Yang, Sunny Verma, Borui Cai, Jiaojiao Jiang, Kun Yu, Fang Chen, Shui Yu:
Variational Co-embedding Learning for Attributed Network Clustering. CoRR abs/2104.07295 (2021) - 2020
- [j2]Shuiqiao Yang, Jiaojiao Jiang, Arindam Pal, Kun Yu, Fang Chen, Shui Yu:
Analysis and Insights for Myths Circulating on Twitter During the COVID-19 Pandemic. IEEE Open J. Comput. Soc. 1: 209-219 (2020)
2010 – 2019
- 2019
- [c17]Jianlong Zhou, Huaiwen Hu, Zhidong Li, Kun Yu, Fang Chen:
Physiological Indicators for User Trust in Machine Learning with Influence Enhanced Fact-Checking. CD-MAKE 2019: 94-113 - [c16]Jianlong Zhou, Zhidong Li, Huaiwen Hu, Kun Yu, Fang Chen, Zelin Li, Yang Wang:
Effects of Influence on User Trust in Predictive Decision Making. CHI Extended Abstracts 2019 - [c15]Kun Yu, Ronnie Taib, Marcus A. Butavicius, Kathryn Parsons, Fang Chen:
Mouse Behavior as an Index of Phishing Awareness. INTERACT (1) 2019: 539-548 - [c14]Ronnie Taib, Kun Yu, Shlomo Berkovsky, Mark W. Wiggins, Piers Bayl-Smith:
Social Engineering and Organisational Dependencies in Phishing Attacks. INTERACT (1) 2019: 564-584 - [c13]Kun Yu, Shlomo Berkovsky, Ronnie Taib, Jianlong Zhou, Fang Chen:
Do I trust my machine teammate?: an investigation from perception to decision. IUI 2019: 460-468 - 2018
- [j1]Sharon L. Oviatt, Kevin Hang, Jianlong Zhou, Kun Yu, Fang Chen:
Dynamic Handwriting Signal Features Predict Domain Expertise. ACM Trans. Interact. Intell. Syst. 8(3): 18:1-18:21 (2018) - [p3]Jianlong Zhou, Kun Yu, Fang Chen, Yang Wang, Syed Z. Arshad:
Multimodal behavioral and physiological signals as indicators of cognitive load. The Handbook of Multimodal-Multisensor Interfaces, Volume 2 (2) 2018: 287-329 - [p2]Jianlong Zhou, Kun Yu, Fang Chen:
Revealing User Confidence in Machine Learning-Based Decision Making. Human and Machine Learning 2018: 225-244 - [p1]Kun Yu, Shlomo Berkovsky, Dan Conway, Ronnie Taib, Jianlong Zhou, Fang Chen:
Do I Trust a Machine? Differences in User Trust Based on System Performance. Human and Machine Learning 2018: 245-264 - 2017
- [c12]Jianlong Zhou, Syed Z. Arshad, Simon Luo, Kun Yu, Shlomo Berkovsky, Fang Chen:
Indexing Cognitive Load using Blood Volume Pulse Features. CHI Extended Abstracts 2017: 2269-2275 - [c11]Kun Yu, Shlomo Berkovsky, Ronnie Taib, Dan Conway, Jianlong Zhou, Fang Chen:
User Trust Dynamics: An Investigation Driven by Differences in System Performance. IUI 2017: 307-317 - [c10]Dan Conway, Ronnie Taib, Mitch Harris, Kun Yu, Shlomo Berkovsky, Fang Chen:
A Qualitative Investigation of Bank Employee Experiences of Information Security and Phishing. SOUPS 2017: 115-129 - 2016
- [b1]Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji, Dan Conway:
Robust Multimodal Cognitive Load Measurement. Human-Computer Interaction Series, Springer 2016, ISBN 978-3-319-31698-7, pp. 3-254 - [c9]Dan Conway, Fang Chen, Kun Yu, Jianlong Zhou, Richard Morris:
Misplaced Trust: A Bias in Human-Machine Trust Attribution - In Contradiction to Learning Theory. CHI Extended Abstracts 2016: 3035-3041 - [c8]Jianlong Zhou, Syed Z. Arshad, Kun Yu, Fang Chen:
Correlation for user confidence in predictive decision making. OZCHI 2016: 252-256 - [c7]Kun Yu, Shlomo Berkovsky, Dan Conway, Ronnie Taib, Jianlong Zhou, Fang Chen:
Trust and Reliance Based on System Accuracy. UMAP 2016: 223-227 - 2014
- [c6]Jianlong Zhou, Kevin Hang, Sharon L. Oviatt, Kun Yu, Fang Chen:
Combining empirical and machine learning techniques to predict math expertise using pen signal features. MLA@ICMI 2014: 29-36 - [c5]Ronnie Taib, Benjamin Itzstein, Kun Yu:
Synchronising Physiological and Behavioural Sensors in a Driving Simulator. ICMI 2014: 188-195 - 2013
- [c4]Kun Yu, Julien Epps, Fang Chen:
Mental Workload Classification via Online Writing Features. ICDAR 2013: 1110-1114 - [c3]Ronnie Taib, Kun Yu, Jessica Jung, Anne Hess, Andreas Maier:
Human-centric analysis of driver inattention. Intelligent Vehicles Symposium 2013: 7-12 - [c2]Anne Hess, Jessica Jung, Andreas Maier, Ronnie Taib, Kun Yu, Benjamin Itzstein:
Elicitation of mental states and user experience factors in a driving simulator. Intelligent Vehicles Symposium 2013: 43-48 - 2011
- [c1]Kun Yu, Julien Epps, Fang Chen:
Cognitive load evaluation of handwriting using stroke-level features. IUI 2011: 423-426
Coauthor Index
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