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Haibei Zhu
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2020 – today
- 2024
- [i7]Vamsi K. Potluru, Daniel Borrajo, Andrea Coletta, Niccolò Dalmasso, Yousef El-Laham, Elizabeth Fons, Mohsen Ghassemi, Sriram Gopalakrishnan, Vikesh Gosai, Eleonora Kreacic, Ganapathy Mani, Saheed Obitayo, Deepak Paramanand, Natraj Raman, Mikhail Solonin, Srijan Sood, Svitlana Vyetrenko, Haibei Zhu, Manuela Veloso, Tucker Balch:
Synthetic Data Applications in Finance. CoRR abs/2401.00081 (2024) - [i6]Zhenglin Li, Haibei Zhu, Houze Liu, Jintong Song, Qishuo Cheng:
Comprehensive evaluation of Mal-API-2019 dataset by machine learning in malware detection. CoRR abs/2403.02232 (2024) - [i5]Haibei Zhu, Yousef El-Laham, Elizabeth Fons, Svitlana Vyetrenko:
A Language Model-Guided Framework for Mining Time Series with Distributional Shifts. CoRR abs/2406.05249 (2024) - [i4]Yousef El-Laham, Zhongchang Sun, Haibei Zhu, Tucker Balch, Svitlana Vyetrenko:
Variational Neural Stochastic Differential Equations with Change Points. CoRR abs/2411.00635 (2024) - 2023
- [c12]Haibei Zhu, Svitlana Vyetrenko, Kshama Dwarakanath, Tucker Balch, Serafin Grundl, David Byrd:
Once burned, twice shy? The effect of stock market bubbles on traders that learn by experience. WSC 2023: 291-302 - [i3]Haibei Zhu, Svitlana Vyetrenko, Tucker Balch:
A Model-Based Synthetic Stock Price Time Series Generation Framework. CoRR abs/2311.02209 (2023) - [i2]Haibei Zhu, Svitlana Vyetrenko, Serafin Grundl, David Byrd, Kshama Dwarakanath, Tucker Balch:
Once Burned, Twice Shy? The Effect of Stock Market Bubbles on Traders that Learn by Experience. CoRR abs/2312.17472 (2023) - 2022
- [j3]Mary L. Cummings
, Songpo Li, Haibei Zhu
Modeling operator self-assessment in human-autonomy teaming settings. Int. J. Hum. Comput. Stud. 157: 102729 (2022) - 2021
- [b1]Haibei Zhu:
Development and Comparison of Operator Strategy Models. Duke University, Durham, NC, USA, 2021 - [c11]Haibei Zhu, Baoyan Wang:
Negative Siamese Network for Classifying Semantically Similar Sentences. IALP 2021: 170-173 - [c10]Haibei Zhu, Teruhisa Misu, Sujitha Martin, Xingwei Wu, Kumar Akash:
Improving Driver Situation Awareness Prediction using Human Visual Sensory and Memory Mechanism. IROS 2021: 6210-6216 - [i1]Haibei Zhu, Teruhisa Misu, Sujitha Martin, Xingwei Wu, Kumar Akash:
Improving Driver Situation Awareness Prediction using Human Visual Sensory and Memory Mechanism. CoRR abs/2111.00087 (2021) - 2020
- [c9]Haibei Zhu
Quantitative Operator Strategy Comparisons across Human Supervisory Control Scenarios. IROS 2020: 10968-10974
2010 – 2019
- 2019
- [j2]Haibei Zhu
Operator Strategy Model Development in UAV Hacking Detection. IEEE Trans. Hum. Mach. Syst. 49(6): 540-549 (2019) - [j1]Jin Zhou, Haibei Zhu, Minwoo Kim, Mary L. Cummings:
The Impact of Different Levels of Autonomy and Training on Operators' Drone Control Strategies. ACM Trans. Hum. Robot Interact. 8(4): 22:1-22:15 (2019) - [c8]Chao Kong
Drug Abuse Detection via Broad Learning. WISA 2019: 499-505 - [c7]Chao Kong
Link Prediction on Dynamic Heterogeneous Information Networks. CSoNet 2019: 339-350 - [c6]Chao Kong
Multi-agent Negotiation in Real-time Bidding. ICCE-TW 2019: 1-2 - [c5]Mahmoud Elfar
Security-Aware Synthesis of Human-UAV Protocols. ICRA 2019: 8011-8017 - [c4]Haibei Zhu
The Stability of Human Supervisory Control Operator Behavioral Models Using Hidden Markov Models. IROS 2019: 6971-6978 - [c3]Chao Kong
Anonymized User Linkage Under Differential Privacy. SCDS 2019: 309-324 - 2018
- [c2]Haibei Zhu
Human Augmentation of UAV Cyber-Attack Detection. HCI (16) 2018: 154-167 - 2017
- [c1]Mahmoud Elfar
Platform for security-aware design of human-on-the-loop cyber-physical systems. ICCPS 2017: 93
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last updated on 2024-12-12 21:01 CET by the dblp team
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