| Deepcache: Principled cache for mobile deep vision M Xu, M Zhu, Y Liu, FX Lin, X Liu Proceedings of the 24th Annual International Conference on Mobile Computing …, 2018 | 184 | 2018 |
| A first look at deep learning apps on smartphones M Xu, J Liu, Y Liu, FX Lin, Y Liu, X Liu The World Wide Web Conference, 2125-2136, 2019 | 148 | 2019 |
| DeepWear: Adaptive Local Offloading for On-Wearable Deep Learning M Xu, F Qian, M Zhu, F Huang, S Pushp, X Liu IEEE Transactions on Mobile Computing, 2019 | 116* | 2019 |
| Characterizing impacts of heterogeneity in federated learning upon large-scale smartphone data C Yang, Q Wang, M Xu, Z Chen, K Bian, Y Liu, X Liu Proceedings of the Web Conference 2021, 935-946, 2021 | 85* | 2021 |
| ShuffleDog: characterizing and adapting user-perceived latency of android apps G Huang, M Xu, FX Lin, Y Liu, Y Ma, S Pushp, X Liu IEEE Transactions on Mobile Computing 16 (10), 2913-2926, 2017 | 72 | 2017 |
| Deeptype: On-device deep learning for input personalization service with minimal privacy concern M Xu, F Qian, Q Mei, K Huang, X Liu Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018 | 46 | 2018 |
| From cloud to edge: a first look at public edge platforms M Xu, Z Fu, X Ma, L Zhang, Y Li, F Qian, S Wang, K Li, J Yang, X Liu Proceedings of the 21st ACM Internet Measurement Conference, 37-53, 2021 | 40 | 2021 |
| Approximate query service on autonomous iot cameras M Xu, X Zhang, Y Liu, G Huang, X Liu, FX Lin Proceedings of the 18th International Conference on Mobile Systems …, 2020 | 40 | 2020 |
| Appholmes: Detecting and characterizing app collusion among third-party android markets M Xu, Y Ma, X Liu, FX Lin, Y Liu Proceedings of the 26th international conference on World Wide Web, 143-152, 2017 | 33 | 2017 |
| Video Analytics with Zero-streaming Cameras M Xu, T Xu, Y Liu, FX Lin 2021 {USENIX} Annual Technical Conference ({USENIX}{ATC} 21), 459-472, 2021 | 29* | 2021 |
| Federated neural architecture search J Yuan, M Xu, Y Zhao, K Bian, G Huang, X Liu, S Wang arXiv preprint arXiv:2002.06352, 2020 | 28* | 2020 |
| Hierarchical federated learning through lan-wan orchestration J Yuan, M Xu, X Ma, A Zhou, X Liu, S Wang arXiv preprint arXiv:2010.11612, 2020 | 21 | 2020 |
| Tiansuan constellation: An open research platform S Wang, Q Li, M Xu, X Ma, A Zhou, Q Sun 2021 IEEE International Conference on Edge Computing (EDGE), 94-101, 2021 | 20 | 2021 |
| MUIT: a domain-specific language and its middleware for adaptive mobile web-based user interfaces in WS-BPEL X Liu, M Xu, T Teng, G Huang, H Mei IEEE Transactions on Services Computing 12 (6), 955-969, 2016 | 18* | 2016 |
| 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 | 13 | 2022 |
| Power sandbox: Power awareness redefined L Guo, T Xu, M Xu, X Liu, FX Lin Proceedings of the Thirteenth EuroSys Conference, 1-15, 2018 | 11 | 2018 |
| Joint placement of UPF and edge server for 6G network Y Li, X Ma, M Xu, A Zhou, Q Sun, N Zhang, S Wang IEEE Internet of Things Journal 8 (22), 16370-16378, 2021 | 8 | 2021 |
| Mandheling: Mixed-precision on-device dnn training with dsp offloading D Xu, M Xu, Q Wang, S Wang, Y Ma, K Huang, G Huang, X Jin, X Liu Proceedings of the 28th Annual International Conference on Mobile Computing …, 2022 | 7 | 2022 |
| 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 | 7 | 2021 |
| Melon: Breaking the memory wall for resource-efficient on-device machine learning Q Wang, M Xu, C Jin, X Dong, J Yuan, X Jin, G Huang, Y Liu, X Liu Proceedings of the 20th Annual International Conference on Mobile Systems …, 2022 | 6 | 2022 |
Xuanzhe LiuPeking University | ACM Distinguished ScientistVerified email at pku.edu.cn
