| 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 | 235* | 2025 |
| Demystifying Small Language Models for Edge Deployment Z Lu, X Li, D Cai, R Yi, F Liu, W Liu, J Luan, X Zhang, ND Lane, M Xu Proceedings of the 63rd Annual Meeting of the Association for Computational …, 2025 | 144* | 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 | 142* | 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 | 112* | 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 | 79* | 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 | 41 | 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 | 27 | 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 | 25* | 2024 |
| ShortcutsBench: A Large-Scale Real-world Benchmark for API-based Agents S Haiyang, Y Li, D Meng, D Cai, S Qi, L Zhang, M Xu, Y Ma The Thirteenth International Conference on Learning Representations, 2025 | 23* | 2025 |
| 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 | 23 | 2021 |
| Photon: Federated llm pre-training L Sani, A Iacob, Z Cao, R Lee, B Marino, Y Gao, W Zhao, D Cai, Z Li, ... Proceedings of Machine Learning and Systems 7, 2025 | 19 | 2025 |
| 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 | 18 | 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 | 16 | 2024 |
| 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 | 14* | 2023 |
| 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 | 13 | 2020 |
| Ubiquitous memory augmentation via mobile multimodal embedding system D Cai, S Wang, C Peng, Z Zhang, Z Lu, T Qi, ND Lane, M Xu Nature Communications 16 (1), 1-12, 2025 | 7* | 2025 |
| Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning? Z Li, X Wang, WF Shen, M Kurmanji, X Qiu, D Cai, C Wu, ND Lane arXiv preprint arXiv:2505.19855, 2025 | 6 | 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 | 3 | 2024 |
| A Survey of Backpropagation-free Training For LLMS H Mei, D Cai, Y Wu, S Wang, M Xu Authorea Preprints, 2024 | 3 | 2024 |
| SILENCE: Protecting privacy in offloaded speech understanding on resource-constrained devices D Cai, S Wang, Z Zhang, FX Lin, M Xu Advances in Neural Information Processing Systems 37, 105928-105948, 2024 | 2 | 2024 |
Mengwei XuAssociate Professor, Beijing University of Posts and TelecommunicationsVerified email at bupt.edu.cn
