Platform for security-aware design of human-on-the-loop cyber-physical systems. - Mahmoud Elfar; Haibei Zhu; Adithya Raghunathan; Yi Y. Tay; Jeffrey Wubbenhorst; Mary L. Cummings; Miroslav Pajic (ICCPS, 2017)

Human Augmentation of UAV Cyber-Attack Detection. - Haibei Zhu; Mahmoud Elfar; Miroslav Pajic; Ziyao Wang; Mary L. Cummings (HCI (16), 2018)

Drug Abuse Detection via Broad Learning. - Chao Kong; Jianye Liu; Hao Li; Ying Liu; Haibei Zhu; Tao Liu (WISA, 2019)

Link Prediction on Dynamic Heterogeneous Information Networks. - Chao Kong; Hao Li; Liping Zhang; Haibei Zhu; Tao Liu (CSoNet, 2019)

Multi-agent Negotiation in Real-time Bidding. - Chao Kong; Haibei Zhu; Hao Li; Jianye Liu; Zheng Wang; Yinliang Qian (ICCE-TW, 2019)

Security-Aware Synthesis of Human-UAV Protocols. - Mahmoud Elfar; Haibei Zhu; Mary L. Cummings; Miroslav Pajic (ICRA, 2019)

The Stability of Human Supervisory Control Operator Behavioral Models Using Hidden Markov Models. - Haibei Zhu; Mary L. Cummings (IROS, 2019)

Anonymized User Linkage Under Differential Privacy. - Chao Kong; Hao Li; Haibei Zhu; Yu Xiu; Jianye Liu; Tao Liu (SCDS, 2019)

Operator Strategy Model Development in UAV Hacking Detection. - Haibei Zhu; Mary L. Cummings; Mahmoud Elfar; Ziyao Wang; Miroslav Pajic (IEEE Trans. Hum. Mach. Syst., 2019)

The Impact of Different Levels of Autonomy and Training on Operators' Drone Control Strategies. - Jin Zhou; Haibei Zhu; Minwoo Kim; Mary L. Cummings (ACM Trans. Hum. Robot Interact., 2019)

Quantitative Operator Strategy Comparisons across Human Supervisory Control Scenarios. - Haibei Zhu; Rong Xu; Mary L. Cummings (IROS, 2020)

Negative Siamese Network for Classifying Semantically Similar Sentences. - Haibei Zhu; Baoyan Wang (IALP, 2021)

Improving Driver Situation Awareness Prediction using Human Visual Sensory and Memory Mechanism. - Haibei Zhu; Teruhisa Misu; Sujitha Martin; Xingwei Wu; Kumar Akash (IROS, 2021)

Development and Comparison of Operator Strategy Models. - Haibei Zhu (2021)

Modeling operator self-assessment in human-autonomy teaming settings. - Mary L. Cummings; Songpo Li; Haibei Zhu (Int. J. Hum. Comput. Stud., 2022)

Once burned, twice shy? The effect of stock market bubbles on traders that learn by experience. - Haibei Zhu; Svitlana Vyetrenko; Kshama Dwarakanath; Tucker Balch; Serafin Grundl; David Byrd (WSC, 2023)

A Model-Based Synthetic Stock Price Time Series Generation Framework. - Haibei Zhu; Svitlana Vyetrenko; Tucker Balch (CoRR, 2023)

Context-Augmented Contrastive Learning Method for Session-based Recommendation. - Xianlan Sun; Xiangyun Gao; Subin Huang; Haibei Zhu; Chen Xu; Pingfu Chao; Chao Kong (ADMA (6), 2024)

STRec: Social-Augmented Time-Aware Cross-Domain Sequential Recommendation. - Xiangyun Gao; Dan Meng 001; Xianlan Sun; Wei Wang 296; Haibei Zhu; Chao Kong (ISPA, 2024)

Synthetic Data Applications in Finance. - 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; et al. (CoRR, 2024)

Comprehensive evaluation of Mal-API-2019 dataset by machine learning in malware detection. - Zhenglin Li; Haibei Zhu; Houze Liu; Jintong Song; Qishuo Cheng (CoRR, 2024)

A Language Model-Guided Framework for Mining Time Series with Distributional Shifts. - Haibei Zhu; Yousef El-Laham; Elizabeth Fons; Svitlana Vyetrenko (CoRR, 2024)

Determining Novice and Expert Status in Human-Automation Interaction Through Hidden Markov Models. - Anne French; Mary L. Cummings; Haibei Zhu; Miroslav Pajic (Appl. Artif. Intell., 2024)

An End-Cloud Collaborative Federated Learning Debugging Framework for Data Heterogeneity. - Chao Kong; Dan Meng 001; Zhihui Fu; Ruiguang Pei; Junjie Wu; Haibei Zhu; Tong Zhan (J. Circuits Syst. Comput., 2025)

Variational Neural Stochastic Differential Equations with Change Points. - Yousef El-Laham; Zhongchang Sun; Haibei Zhu; Tucker Balch; Svitlana Vyetrenko (Trans. Mach. Learn. Res., 2025)