| A survey of resource-efficient llm and multimodal foundation models M Xu, W Yin, D Cai, R Yi, D Xu, Q Wang, B Wu, Y Zhao, C Yang, S Wang, ... arXiv preprint arXiv:2401.08092, 2024 | 209 | 2024 |
| A comprehensive benchmark of deep learning libraries on mobile devices Q Zhang, X Li, X Che, X Ma, A Zhou, M Xu, S Wang, Y Ma, X Liu Proceedings of the ACM Web Conference 2022, 3298-3307, 2022 | 66 | 2022 |
| A comprehensive deep learning library benchmark and optimal library selection Q Zhang, X Che, Y Chen, X Ma, M Xu, S Dustdar, X Liu, S Wang IEEE Transactions on Mobile Computing 23 (5), 5069-5082, 2023 | 25 | 2023 |
| Resource-efficient In-orbit Detection of Earth Objects Q Zhang, X Yuan, R Xing, Y Zhang, Z Zheng, X Ma, M Xu, S Dustdar, ... IEEE INFOCOM 2024-IEEE Conference on Computer Communications, 2024 | 18 | 2024 |
| Energy and time-aware inference offloading for dnn-based applications in leo satellites Y Chen, Q Zhang, Y Zhang, X Ma, A Zhou 2023 IEEE 31st International Conference on Network Protocols (ICNP), 1-6, 2023 | 13 | 2023 |
| Collaborative inference in dnn-based satellite systems with dynamic task streams J Guan, Q Zhang, I Murturi, PK Donta, S Dustdar, S Wang ICC 2024-IEEE International Conference on Communications, 3803-3808, 2024 | 12 | 2024 |
| The first verification test of space-ground collaborative intelligence via cloud-native satellites S Wang, Q Zhang, R Xing, F Qi, M Xu China Communications, 2023 | 12* | 2023 |
| Fool: Addressing the downlink bottleneck in satellite computing with neural feature compression A Furutanpey, Q Zhang, P Raith, T Pfandzelter, S Wang, S Dustdar IEEE Transactions on Mobile Computing, 2025 | 11 | 2025 |
| Spiking neural networks in intelligent edge computing G Zhang, L Feng, F Zhou, Z Yang, Q Zhang, A Saleh, PK Donta, ... IEEE Consumer Electronics Magazine, 2024 | 11 | 2024 |
| Tsvmpath: Fast regularization parameter tuning algorithm for twin support vector machine K Zhou, Q Zhang, J Li Neural Processing Letters 54 (6), 5457-5482, 2022 | 11 | 2022 |
| Performance measurements in the AI-centric computing continuum systems PK Donta, Q Zhang, S Dustdar 2025 IEEE 11th World Forum on Internet of Things (WF-IoT), 1-6, 2025 | 6 | 2025 |
| SatCooper: Enhancing Cooperative Inference Analytics for Satellite Service via Multi-exit DNNs Q Zhang, S Wang, J Guan, PK Donta, X Ma, RRV Prasad, S Dustdar, ... IEEE Transactions on Mobile Computing, 2025 | 6 | 2025 |
| Energy-efficient federated training on mobile device Q Zhang, Z Zhu, A Zhou, Q Sun, S Dustdar, S Wang IEEE Network 38 (1), 180-186, 2023 | 6 | 2023 |
| Towards Efficient Satellite Computing Through Adaptive Compression C Yang, Q Sun, Q Zhang, H Lu, CA Ardagna, S Wang, M Xu IEEE Transactions on Services Computing, 2024 | 5 | 2024 |
| Cost-aware edge server placement Q Zhang, S Wang, A Zhou, X Ma International Journal of Web and Grid Services 18 (1), 83-98, 2022 | 5 | 2022 |
| Intelligence inference on IoT devices Q Zhang, Y Li, D Zhang, I Murturi, VC Pujol, S Dustdar, S Wang Learning Techniques for the Internet of Things, 171-195, 2023 | 4 | 2023 |
| Edge AI for earth observation N Ruan, K Li, Q Zhang, L Loven, PK Donta, Y Jia, S Dustdar IEEE Internet Computing, 2025 | 3 | 2025 |
| Energy-Aware Satellite-Ground Co-Inference via Layer-Wise Processing Schedule Optimization Y Chen, Q Zhang, R Xing, Y Li, X Ma, C Yu, Y Zhang, A Zhou, S Wang Proceedings of the 15th Asia-Pacific Symposium on Internetware, 303-312, 2024 | 3 | 2024 |
| Federated Learning for Internet of Things Y Li, Q Zhang, X Wang, R Zeng, H Li, I Murturi, S Dustdar, M Huang Learning Techniques for the Internet of Things, 33-55, 2023 | 3 | 2023 |
| Optimizing Multi-DNN Inference on Mobile Devices through Heterogeneous Processor Co-Execution Y Gao, Z Zhang, PK Donta, CK Dehury, X Wang, D Niyato, Q Zhang arXiv preprint arXiv:2503.21109, 2025 | 2 | 2025 |
Shangguang WangBeijing University of Posts and TelecommunicationsVerified email at bupt.edu.cn
