| Characterizing and improving wifi latency in large-scale operational networks K Sui, M Zhou, D Liu, M Ma, D Pei, Y Zhao, Z Li, T Moscibroda Proceedings of the 14th Annual International Conference on Mobile Systems …, 2016 | 123 | 2016 |
| Gpt4graph: Can large language models understand graph structured data? an empirical evaluation and benchmarking J Guo, L Du, H Liu, M Zhou, X He, S Han arXiv preprint arXiv:2305.15066, 2023 | 99 | 2023 |
| EDUM: classroom education measurements via large-scale WiFi networks M Zhou, M Ma, Y Zhang, K SuiA, D Pei, T Moscibroda Proceedings of the 2016 acm international joint conference on pervasive and …, 2016 | 63 | 2016 |
| MultiVision: Designing analytical dashboards with deep learning based recommendation A Wu, Y Wang, M Zhou, X He, H Zhang, H Qu, D Zhang IEEE Transactions on Visualization and Computer Graphics 28 (1), 162-172, 2021 | 61 | 2021 |
| Table pre-training: A survey on model architectures, pre-training objectives, and downstream tasks H Dong, Z Cheng, X He, M Zhou, A Zhou, F Zhou, A Liu, S Han, D Zhang arXiv preprint arXiv:2201.09745, 2022 | 58 | 2022 |
| Table meets llm: Can large language models understand structured table data? a benchmark and empirical study Y Sui, M Zhou, M Zhou, S Han, D Zhang Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 53* | 2024 |
| Table2Charts: recommending charts by learning shared table representations M Zhou, Q Li, X He, Y Li, Y Liu, W Ji, S Han, Y Chen, D Jiang, D Zhang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 41* | 2021 |
| Collaborative learning between cloud and end devices: an empirical study on location prediction Y Lu, Y Shu, X Tan, Y Liu, M Zhou, Q Chen, D Pei Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 139-151, 2019 | 29 | 2019 |
| Table2analysis: Modeling and recommendation of common analysis patterns for multi-dimensional data M Zhou, W Tao, J Pengxin, H Shi, Z Dongmei Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 320-328, 2020 | 21 | 2020 |
| Mobicamp: A campus-wide testbed for studying mobile physical activities M Zhou, K Sui, M Ma, Y Zhao, D Pei, T Moscibroda Proceedings of the 3rd International on Workshop on Physical Analytics, 1-6, 2016 | 17 | 2016 |
| LUNA: language understanding with number augmentations on transformers via number plugins and pre-training H Han, J Xu, M Zhou, Y Shao, S Han, D Zhang arXiv preprint arXiv:2212.02691, 2022 | 12 | 2022 |
| Minhash hierarchy for privacy preserving trajectory sensing and query J Ding, CC Ni, M Zhou, J Gao Proceedings of the 16th ACM/IEEE International Conference on Information …, 2017 | 11 | 2017 |
| Tap4llm: Table provider on sampling, augmenting, and packing semi-structured data for large language model reasoning Y Sui, J Zou, M Zhou, X He, L Du, S Han, D Zhang arXiv preprint arXiv:2312.09039, 2023 | 8 | 2023 |
| Text2analysis: A benchmark of table question answering with advanced data analysis and unclear queries X He, M Zhou, X Xu, X Ma, R Ding, L Du, Y Gao, R Jia, X Chen, S Han, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 18206 …, 2024 | 5 | 2024 |
| Mining crowd mobility and WiFi hotspots on a densely-populated campus M Zhou, D Pei, K Sui, T Moscibroda Proceedings of the 2017 ACM International Joint Conference on Pervasive and …, 2017 | 5 | 2017 |
| Towards robust numerical question answering: Diagnosing numerical capabilities of NLP systems J Xu, M Zhou, X He, S Han, D Zhang arXiv preprint arXiv:2211.07455, 2022 | 4 | 2022 |
| CONLINE: Complex Code Generation and Refinement with Online Searching and Correctness Testing X He, J Zou, Y Lin, M Zhou, S Han, Z Yuan, D Zhang arXiv preprint arXiv:2403.13583, 2024 | 3 | 2024 |
| AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks X He, M Zhou, M Zhou, J Xu, X Lv, T Li, Y Shao, S Han, Z Yuan, D Zhang arXiv preprint arXiv:2209.00946, 2022 | 3 | 2022 |
| The Frame Latency of Personalized Livestreaming Can Be Significantly Slowed Down by WiFi G Nan, X Qiao, J Wang, Z Li, J Bu, C Pei, M Zhou, D Pei 2018 IEEE 37th International Performance Computing and Communications …, 2018 | 3 | 2018 |
| PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning J Zou, M Zhou, T Li, S Han, D Zhang arXiv preprint arXiv:2407.02211, 2024 | 1 | 2024 |
Dongmei ZhangMicrosoft ResearchVerified email at microsoft.com
