PUBLICATIONS
Refereed Journal Articles
Submitted Refereed Journal Articles
[7]. Liu, Y. and Kaber, D. (2022). Models of automation rate in human-in-the-loop systems and operator situation awareness responses. Submitted to IEEE Transactions on Human-Machine Systems. Minor Revision (October 2023).
In-Preparation Refereed Journal Articles
[8]. Liu, Y., Delgado, D., Park, J., Music, A., Berman, J., Kaber, D., Ruiz, J., Huang, H., and Zahabi, M.. Virtual Reality (VR) in the early phase design of EMG-based upper-limb prosthetics. Submitted to Ergonomics.
[9]. Park, J., Liu, Y., Delgado, D., Music, A., Berman, J., Kaber, D., Ruiz, J., Huang, H., and Zahabi, M.. A evaluation of EMG-based upper-limb prosthetic control modes: Virtual Reality vs. physical devices. Submitted to Applied Ergonomics.
[10]. Liu, Y., Yang, G., Pyo, K., Cunningham, C., Chase, T., Kaber, D.. Design consistency. Target journal: Applied Ergonomics.
[11]. Liu, Y. and Kaber, D.. Validity assessment for a SA response function in level of automation. Target journal: Human Factors.
[12]. Liu, Y. and Kaber, D.. Effects of driver experience and level of vehicle automation on SA, workload and performance. Target journal: Applied Ergonomics.
[13]. Liu, Y., Grimaldi, N. S., Wozniak, D., Chen, E., Zahabi, M., and Kaber, D.. Integration of cognitive workload modeling and physiological responses for real-time user state classification. Target journal: IEEE Transactions on Human-Machine Systems.
Refereed Conference Proceedings
[C7]. Chen, Z., Song, Y., Liu, Y., and Sebe, N. (2024). A Lie Group Approach to Riemannian Batch Normalization. ICLR . Accepted.
- Top Conference in Machine Learning
[C8]. Liu, Y., Grimaldi, N., Basnet, N., Zahabi, M., and Kaber, D. (2024). Classifying cognitive workload using machine learning techniques. IEEE International Conference on Human-Machine Systems. Accepted.
[C9]. Grimaldi, N., Liu, Y., McKendrick, R., Ruiz, J., and Kaber, D. (2024). Deep learning forecast of cognitive workload using fNIRS data. IEEE International Conference on Human-Machine Systems. Accepted.
[C10]. Chen, Z., Song, Y., Rui, W., Liu, Y., Wu, X.J., and Sebe, N. (2024). Intrinsic Riemannian classifiers on SPD manifolds: a unified framework. International Conference on Machine Learning (ICML). Submitted.
- Top Conference in Machine Learning
Refereed Research Report (published)
[R1]. Cunningham, C. M., Chase, R. T., Pyo, K., Kaber, D., and Liu, Y. (2022). Roadway signing and marking of unconventional grade separated intersection designs. Report No. FHWA/NC/2019-26, North Carolina Department of Transportation. Raleigh.
[R2]. Cunningham, C. M., Chase, R. T., Yang, G., Wright, W., Pyo, K., Kaber, D., and Liu, Y. (2023). Design consistency on corridors. Report No. FHWA/NC/2020-31, North Carolina Department of Transportation. Raleigh.
PRESENTATIONS
[1]. Liu, Y. (Presenter), Kaber, D., Sabahi, S., Cunningham, C, and Pyo, K. (2022). Machine learning models of erroneous driver actions at novel interchange configurations. Oral presentation given at the IEEE 3rd International Conference on Human-Machine Systems, Orlando, FL. November.
[2]. Liu, Y. (Presenter), Pyo, K., Cunningham, C., Chase, T. and Kaber, D. (2022). Driver situation awareness and cognitive workload effects of novel interchange configurations and associated signage. Oral presentation given at the 13th International Conference on Applied Human Factors and Ergonomics,New York, NY. July.
[3]. Liu, Y. and Kaber, D. (Presenter) (2021). Quantitative models for automation rate and situation awareness response: A case study of levels of driving automation. Oral presentation given at the IEEE 2nd International Conference on Human-Machine Systems, Magdeburg, Germany. September.
[4]. Liu, Y. (Presenter), Pyo, K., Cunningham, C., Chase, T. and Kaber, D. (2023). Roadway signing and marking of unconventional grade separated intersection designs. Poster presentation given at the North Carolina Department of Transportation 4th Annual Research & Innovation Summit, Raleigh, NC. March.
[5]. Liu, Y. (Presenter), Yang, G., Pyo, K., Wright, W. Chase, T. Cunningham, C., and Kaber, D. (2023). Design consistency on corridors. Poster presentation given at the North Carolina Department of Transportation 4th Annual Research & Innovation Summit, Raleigh, NC. March.
[6]. Liu, Y. (Presenter) (2023). Quantitative models for system automation rate and operator situation awareness. Oral presentation given as a 3-minute pitch at the Institute of Industrial and Systems Engineers Doctoral Colloquium. New Orleans, LA. May.
[7]. Park, J. (Presenter), Berman, J., Dodson, A., Liu, Y. , Matthew, A., Huang, H., Kaber, D, Ruiz, J., and Zahabi, M. (2022). Cognitive workload classification of upper-limb prosthetic devices. Oral presentation given at the IEEE 3rd International Conference on Human-Machine Systems, Orlando, FL. November.
[8]. 7. Cauffman, S.J. (Presenter), Deng, Y., Liu, Y. , Cunningham, C., Kaber, D. and Feng, J. (2020). Driver logo sign detection and hazard responses during partially automated driving. Oral presentation given at the 64th International Annual Meeting of the Human Factors and Ergonomics Society, Virtual. October.
[9]. Park, J. (Presenter), Music, A., Daniel, D., Berman, J., Dodson, A., Liu, Y. , Ruiz, J., Huang, H., Kaber, D., and Zahabi, M. (2023). Cognitive workload and usability of virtual reality simulation for prosthesis training. Oral presentation will be given at the IEEE International Conference on Systems, Man, and Cybernetics, Hawaii, October.
[10]. Chen, Z. (Presenter), Song, Y., Liu, Y. , and Sebe, N. (2024). A lie group approach to Riemannian batch normalization. Poster presentation given at the International Conference on Learning Representations. Vienna, Austria, May.
[11]. Liu, Y. , Grimaldi, N., Basnet, N., Wozniak, D., Chen, E., Zahabi, M., Kaber, D., and Ruiz, J.. (Presenter) (2024). Classifying cognitive workload using machine learning techniques and non-intrusive wearable devices. Oral presentation given at the IEEE International Conference on Human-Machine Systems. Toronto, Canada, May.
[12]. Grimaldi, N., Liu, Y. , McKendrick, R., Ruiz, J. (Presenter), and Kaber, D. (2024). Deep learning forecast of cognitive workload using fNIRS data. Oral presentation given at the IEEE International Conference on Human-Machine Systems. Toronto, Canada, May.
Poster Presentations