| 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 | 146 | 2023 |
| 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 | 127 | 2016 |
| 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 | 114* | 2024 |
| 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 | 69 | 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 | 65 | 2022 |
| 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 | 64 | 2016 |
| 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 | 48* | 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 | 34 | 2019 |
| 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 | 27 | 2023 |
| 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 | 22 | 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 | 18 | 2016 |
| 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 | 17 | 2024 |
| 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 |
| GPT4Graph: can large language models understand graph structured Data J Guo, L Du, H Liu, M Zhou, X He, S Han An Empirical Evaluation and Benchmarking. CoRR abs/2305.15066, 2023 | 11 | 2023 |
| 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 |
| Gpt4graph: Can large language models understand graph structured data? an empirical evaluation and benchmarking. arxiv 2023 J Guo, L Du, H Liu, M Zhou, X He, S Han arXiv preprint arXiv:2305.15066, 2023 | 9 | 2023 |
| Gpt4table: Can large language models understand structured table data? a benchmark and empirical study Y Sui, M Zhou, M Zhou, S Han, D Zhang arXiv preprint ArXiv:2305.13062, 2023 | 9 | 2023 |
| 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 | 6 | 2024 |
| Encoding Spreadsheets for Large Language Models H Dong, J Zhao, Y Tian, J Xiong, M Zhou, Y Lin, J Cambronero, Y He, ... Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 5* | 2024 |
| 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 | 5 | 2024 |
Dongmei ZhangMicrosoft ResearchPotvrđena adresa e-pošte na microsoft.com