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Haibei Zhu
Haibei Zhu
Research Scientist, J.P. Morgan AI Research | Ph.D., Duke University
Verified email at jpmchase.com
Title
Cited by
Cited by
Year
Operator strategy model development in UAV hacking detection
H Zhu, ML Cummings, M Elfar, Z Wang, M Pajic
IEEE Transactions on Human-Machine Systems 49 (6), 540-549, 2019
372019
Improving driver situation awareness prediction using human visual sensory and memory mechanism
H Zhu, T Misu, S Martin, X Wu, K Akash
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
262021
The impact of different levels of autonomy and training on operators’ drone control strategies
J Zhou, H Zhu, M Kim, ML Cummings
ACM Transactions on Human-Robot Interaction (THRI) 8 (4), 1-15, 2019
262019
Synthetic data applications in finance
VK Potluru, D Borrajo, A Coletta, N Dalmasso, Y El-Laham, E Fons, ...
arXiv preprint arXiv:2401.00081, 2023
232023
The impact of increasing autonomy on training requirements in a UAV supervisory control task
M Cummings, L Huang, H Zhu, D Finkelstein, R Wei
Journal of Cognitive Engineering and Decision Making 13 (4), 295-309, 2019
222019
Human augmentation of uav cyber-attack detection
H Zhu, M Elfar, M Pajic, Z Wang, ML Cummings
Augmented Cognition: Users and Contexts: 12th International Conference, AC …, 2018
192018
Security-aware synthesis of human-UAV protocols
M Elfar, H Zhu, ML Cummings, M Pajic
2019 International Conference on Robotics and Automation (ICRA), 8011-8017, 2019
132019
Platform for security-aware design of human-on-the-loop cyber-physical systems
M Elfar, H Zhu, A Raghunathan, YY Tay, J Wubbenhorst, ML Cummings, ...
Proceedings of the 8th International Conference on Cyber-Physical Systems, 93-93, 2017
112017
Modeling operator self-assessment in human-autonomy teaming settings
ML Cummings, S Li, H Zhu
International Journal of Human-Computer Studies 157, 102729, 2022
62022
The stability of human supervisory control operator behavioral models using hidden Markov models
H Zhu, ML Cummings
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
42019
Quantitative Operator Strategy Comparisons across Human Supervisory Control Scenarios
H Zhu, R Xu, ML Cummings
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
32020
Development and comparison of operator strategy models
H Zhu
Duke University, 2021
22021
Determining Novice and Expert Status in Human–Automation Interaction Through Hidden Markov Models
A French, ML Cummings, H Zhu, M Pajic
Applied Artificial Intelligence 38 (1), 2402174, 2024
2024
Variational Neural Stochastic Differential Equations with Change Points
Y El-Laham, Z Sun, H Zhu, T Balch, S Vyetrenko
arXiv preprint arXiv:2411.00635, 2024
2024
A Language Model-Guided Framework for Mining Time Series with Distributional Shifts
H Zhu, Y El-Laham, E Fons, S Vyetrenko
arXiv preprint arXiv:2406.05249, 2024
2024
System and method for improving driver situation awareness prediction using human visual sensory and memory mechanism
ZHU Haibei, T Misu, SC Martin, X Wu, K Akash
US Patent 11,954,921, 2024
2024
Once burned, twice shy? The effect of stock market bubbles on traders that learn by experience
H Zhu, S Vyetrenko, K Dwarakanath, T Balch, S Grundl, D Byrd
2023 Winter Simulation Conference (WSC), 291-302, 2023
2023
A Model-Based Synthetic Stock Price Time Series Generation Framework
H Zhu, S Vyetrenko, T Balch
arXiv preprint arXiv:2311.02209, 2023
2023
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