| Resource-efficient Algorithms and Systems of Foundation Models: A Survey M Xu, D Cai, W Yin, S Wang, X Jin, X Liu ACM Computing Surveys 57 (5), 1-39, 2025 | 90* | 2025 |
| Efficient federated learning for modern nlp D Cai, Y Wu, S Wang, FX Lin, M Xu Proceedings of the 29th Annual International Conference on Mobile Computing …, 2023 | 76* | 2023 |
| FwdLLM: Efficient Federated Finetuning of Large Language Models with Perturbed Inferences M Xu, D Cai, Y Wu, X Li, S Wang 2024 USENIX Annual Technical Conference (USENIX ATC 24), 579-596, 2024 | 46* | 2024 |
| Mobile Foundation Model as Firmware J Yuan, C Yang, D Cai, S Wang, X Yuan, Z Zhang, X Li, D Zhang, H Mei, ... Proceedings of the 30th Annual International Conference on Mobile Computing …, 2024 | 39 | 2024 |
| Federated few-shot learning for mobile NLP D Cai, S Wang, Y Wu, FX Lin, M Xu Proceedings of the 29th Annual International Conference on Mobile Computing …, 2023 | 26 | 2023 |
| Towards ubiquitous learning: A first measurement of on-device training performance D Cai, Q Wang, Y Liu, Y Liu, S Wang, M Xu Proceedings of the 5th International Workshop on Embedded and Mobile Deep …, 2021 | 18 | 2021 |
| Small Language Models: Survey, Measurements, and Insights Z Lu, X Li, D Cai, R Yi, F Liu, X Zhang, ND Lane, M Xu arXiv preprint arXiv:2409.15790, 2024 | 16 | 2024 |
| Implementation of an E-payment security evaluation system based on quantum blind computing DQ Cai, X Chen, YH Han, X Yi, JP Jia, C Cao, L Fan International Journal of Theoretical Physics 59 (9), 2757-2772, 2020 | 11 | 2020 |
| Towards Practical Few-shot Federated NLP D Cai, Y Wu, H Yuan, S Wang, FX Lin, M Xu Proceedings of the 3rd Workshop on Machine Learning and Systems, 42-48, 2023 | 9* | 2023 |
| Large Language Models on Mobile Devices: Measurements, Analysis, and Insights X Li, Z Lu, D Cai, X Ma, M Xu Proceedings of the Workshop on Edge and Mobile Foundation Models, 1-6, 2024 | 6 | 2024 |
| FedRDMA: Communication-Efficient Cross-Silo Federated LLM via Chunked RDMA Transmission Z Zhang, D Cai, Y Zhang, M Xu, S Wang, A Zhou Proceedings of the 4th Workshop on Machine Learning and Systems, 126-133, 2024 | 5 | 2024 |
| Accelerating vertical federated learning D Cai, T Fan, Y Kang, L Fan, M Xu, S Wang, Q Yang IEEE Transactions on Big Data 10 (06), 752-760, 2024 | 3* | 2024 |
| ShortcutsBench: a large-scale real-world benchmark for API-based agents H Shen, Y Li, D Meng, D Cai, S Qi, L Zhang, M Xu, Y Ma arXiv e-prints, arXiv: 2407.00132, 2024 | 2 | 2024 |
| Photon: Federated LLM Pre-Training L Sani, A Iacob, Z Cao, R Lee, B Marino, Y Gao, D Cai, Z Li, W Zhao, ... arXiv preprint arXiv:2411.02908, 2024 | 1 | 2024 |
| FedMoE: Personalized Federated Learning via Heterogeneous Mixture of Experts H Mei, D Cai, A Zhou, S Wang, M Xu arXiv preprint arXiv:2408.11304, 2024 | 1 | 2024 |
| A Survey of Backpropagation-free Training For LLMS H Mei, D Cai, Y Wu, S Wang, M Xu Authorea Preprints, 2024 | 1 | 2024 |
| Ubiquitous Memory Augmentation via Mobile Multimodal Embedding System D Cai, S Wang, C Peng, Z Zhang, N Lane, M Xu | | 2025 |
| DEPT: Decoupled Embeddings for Pre-training Language Models A Iacob, L Sani, M Kurmanji, WF Shen, X Qiu, D Cai, Y Gao, ND Lane arXiv preprint arXiv:2410.05021, 2024 | | 2024 |
| GPT4D: Automatic Cross-Version Linux Driver Upgrade Toolkit B Yang, H Li, D Cai International Conference on Machine Learning and Intelligent Communications …, 2023 | | 2023 |
| Mitigating App Collusion using Machine Learning X Duan, H Lu, J Yuan, Q Zhang, D Cai 2021 IEEE 7th International Conference on Big Data Intelligence and …, 2021 | | 2021 |
Mengwei XuAssociate Professor, Beijing University of Posts and Telecommunications確認したメール アドレス: bupt.edu.cn