| GuardHealth: Blockchain empowered secure data management and Graph Convolutional Network enabled anomaly detection in smart healthcare Z Wang, N Luo, P Zhou Journal of Parallel and Distributed Computing 142, 1-12, 2020 | 136 | 2020 |
| Privacy-preserving and energy efficient task offloading for collaborative mobile computing in IoT: An ADMM approach Y Yao, Z Wang, P Zhou Computers & Security 96, 101886, 2020 | 39 | 2020 |
| Differential private federated transfer learning for mental health monitoring in everyday settings: A case study on stress detection Z Wang, Z Yang, I Azimi, AM Rahmani arXiv preprint arXiv:2402.10862, 2024 | 23 | 2024 |
| Zebra: Deeply integrating system-level provenance search and tracking for efficient attack investigation X Yang, H Liu, Z Wang, P Gao arXiv preprint arXiv:2211.05403, 2022 | 16 | 2022 |
| SEAL: Sensing Efficient Active Learning on Wearables through Context-awareness H Alikhani, Z Wang, A Kanduri, P Lilieberg, AM Rahmani, N Dutt 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-2, 2024 | 13* | 2024 |
| Efflex: Efficient and Flexible Pipeline for Spatio-Temporal Trajectory Graph Modeling and Representation Learning M Cheng, Z Zhou, B Zhang, Z Wang, J Gan, Z Ren, W Feng, Y Lyu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 4 | 2024 |
| EA^ 2: Energy Efficient Adaptive Active Learning for Smart Wearables H Alikhani, Z Wang, A Kanduri, P Liljeberg, AM Rahmani, N Dutt Proceedings of the 29th ACM/IEEE International Symposium on Low Power …, 2024 | 3 | 2024 |
| Enhancing performance and user engagement in everyday stress monitoring: A context-aware active reinforcement learning approach SAH Aqajari, Z Wang, A Tazarv, S Labbaf, S Jafarlou, B Nguyen, N Dutt, ... arXiv preprint arXiv:2407.08215, 2024 | 2 | 2024 |
| Ecg unveiled: Analysis of client re-identification risks in real-world ecg datasets Z Wang, A Kanduri, SAH Aqajari, S Jafarlou, SR Mousavi, P Liljeberg, ... 2024 IEEE 20th International Conference on Body Sensor Networks (BSN), 1-4, 2024 | 1 | 2024 |
| HealthQ: Unveiling Questioning Capabilities of LLM Chains in Healthcare Conversations Z Wang, H Li, D Huang, AM Rahmani arXiv preprint arXiv:2409.19487, 2024 | 1 | 2024 |
| VeTraSS: Vehicle Trajectory Similarity Search Through Graph Modeling and Representation Learning M Cheng, B Zhang, Z Wang, Z Zhou, W Feng, Y Lyu, X Diao arXiv preprint arXiv:2404.08021, 2024 | 1 | 2024 |
Amir M. RahmaniProfessor, Nursing, Computer Science & EECS, University of California, Irvine在 uci.edu 的电子邮件经过验证
