| Dataperf: Benchmarks for data-centric ai development M Mazumder, C Banbury, X Yao, B Karlaš, W Gaviria Rojas, S Diamos, ... Advances in Neural Information Processing Systems 36, 5320-5347, 2023 | 148* | 2023 |
| Redpajama: an open dataset for training large language models M Weber, D Fu, Q Anthony, Y Oren, S Adams, A Alexandrov, X Lyu, ... Advances in Neural Information Processing Systems 37, 116462-116492, 2025 | 21* | 2025 |
| DMLR: Data-centric Machine Learning Research--Past, Present and Future L Oala, M Maskey, L Bat-Leah, A Parrish, NM Gürel, TS Kuo, Y Liu, R Dror, ... arXiv preprint arXiv:2311.13028, 2023 | 13 | 2023 |
| Deltazip: Multi-tenant language model serving via delta compression X Yao, Q Hu, A Klimovic arXiv preprint arXiv:2312.05215, 2023 | 11 | 2023 |
| Gpt-zip: Deep compression of finetuned large language models B Isik, H Kumbong, W Ning, X Yao, S Koyejo, C Zhang Workshop on Efficient Systems for Foundation Models@ ICML2023, 2023 | 11 | 2023 |
| Aurora-M: Open Source Continual Pre-training for Multilingual Language and Code T Nakamura, M Mishra, S Tedeschi, Y Chai, JT Stillerman, F Friedrich, ... arXiv preprint arXiv:2404.00399, 2024 | 8* | 2024 |
| Shift: an efficient, flexible search engine for transfer learning C Renggli, X Yao, L Kolar, L Rimanic, A Klimovic, C Zhang arXiv preprint arXiv:2204.01457, 2022 | 4 | 2022 |
| Face based advertisement recommendation with deep learning: a case study X Yao, Y Chen, R Liao, S Cai Smart Computing and Communication: Second International Conference, SmartCom …, 2018 | 4 | 2018 |
| HexGen: Generative Inference of Foundation Model over Heterogeneous Decentralized Environment. Y Jiang, R Yan, X Yao, B Chen, B Yuan CoRR, 2023 | 3* | 2023 |
| MLPM: Machine Learning Package Manager X Yao ACM ISBN, 978-1, 2020 | 3 | 2020 |
| Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs Y Jiang, F Fu, X Yao, G He, X Miao, A Klimovic, B Cui, B Yuan, E Yoneki arXiv preprint arXiv:2502.00722, 2025 | 2 | 2025 |
| Open Compute Framework: Peer-to-Peer Task Queue for Foundation Model Inference Serving, September 2023 X Yao URL https://github. com/autoai-org/OpenComputeFramework, 0 | 2 | |
| Data-centric Machine Learning Research (DMLR): Harnessing Momentum for Science M Maskey, L Bat-Leah, D Brajovic, P Climaco, A Parrish, C Park, X Yao, ... ICLR 2024 Workshops, 2024 | 1 | 2024 |
| ThunderServe: High-performance and Cost-efficient LLM Serving in Cloud Environments Y Jiang, F Fu, X Yao, T Wang, B Cui, A Klimovic, E Yoneki arXiv preprint arXiv:2502.09334, 2025 | | 2025 |
| Decluttering the data mess in LLM training M Böther, D Graur, X Yao, A Klimovic 2nd Workshop on Hot Topics in System Infrastructure (HotInfra 2024), 2024 | | 2024 |
| ETH Library Lab: Lernen Sie das Innovationslabor der ETH-Bibliothek kennen M Okonnek 17: 15 Kolloquium der ETH-Bibliothek, 2021 | | 2021 |
Ana KlimovicETH ZurichVahvistettu sähköpostiosoite verkkotunnuksessa ethz.ch