| Holistic Evaluation of Language Models P Liang, R Bommasani, T Lee, D Tsipras, D Soylu, M Yasunaga, Y Zhang, ... arXiv preprint arXiv:2211.09110, 2022 | 1222 | 2022 |
| FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU Y Sheng, L Zheng, B Yuan, Z Li, M Ryabinin, B Chen, P Liang, C Ré, ... International Conference on Machine Learning, 31094-31116, 2023 | 331 | 2023 |
| Deja vu: Contextual sparsity for efficient llms at inference time Z Liu, J Wang, T Dao, T Zhou, B Yuan, Z Song, A Shrivastava, C Zhang, ... International Conference on Machine Learning, 22137-22176, 2023 | 256 | 2023 |
| A Federated Learning Framework for Healthcare IoT devices B Yuan, S Ge, W Xing arXiv preprint arXiv:2005.05083, 2020 | 94 | 2020 |
| Decentralized training of foundation models in heterogeneous environments B Yuan, Y He, J Davis, T Zhang, T Dao, B Chen, PS Liang, C Re, C Zhang Advances in Neural Information Processing Systems 35, 25464-25477, 2022 | 89 | 2022 |
| Declarative Recursive Computation on an RDBMS: or, Why You Should Use a Database For Distributed Machine Learning D Jankov, S Luo, B Yuan, Z Cai, J Zou, C Jermaine, ZJ Gao ACM SIGMOD Record 49 (1), 43-50, 2020 | 82 | 2020 |
| Distributed Learning of Fully Connected Neural Networks using Independent Subnet Training B Yuan, CR Wolfe, C Dun, Y Tang, A Kyrillidis, C Jermaine Proceedings of the VLDB Endowment 15 (8), 1581 - 1590, 2022 | 59* | 2022 |
| Tensor Relational Algebra for Distributed Machine Learning System Design B Yuan, D Jankov, J Zou, Y Tang, D Bourgeois, C Jermaine Proceedings of the VLDB Endowment 14 (8), 1338-1350, 2021 | 46* | 2021 |
| Persia: An open, hybrid system scaling deep learning-based recommenders up to 100 trillion parameters X Lian, B Yuan, X Zhu, Y Wang, Y He, H Wu, L Sun, H Lyu, C Liu, X Dong, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 39* | 2022 |
| CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks J Wang, Y Lu, B Yuan, B Chen, P Liang, C De Sa, C Re, C Zhang International Conference on Machine Learning, 36058-36076, 2023 | 38 | 2023 |
| A survey of multimodal large language model from a data-centric perspective T Bai, H Liang, B Wan, Y Xu, X Li, S Li, L Yang, B Li, Y Wang, B Cui, ... arXiv preprint arXiv:2405.16640, 2024 | 34 | 2024 |
| BAGUA: Scaling up Distributed Learning with System Relaxations J Gan, Shaoduo and Jiang, Jiawei and Yuan, Binhang and Zhang, Ce and Lian ... Proceedings of the VLDB Endowment 15 (4), 804–813, 2022 | 33* | 2022 |
| Waveletfcnn: A deep time series classification model for wind turbine blade icing detection B Yuan, C Wang, F Jiang, M Long, PS Yu, Y Liu arXiv preprint arXiv:1902.05625 3, 2019 | 30 | 2019 |
| PlinyCompute: A platform for high-performance, distributed, data-intensive tool development J Zou, RM Barnett, T Lorido-Botran, S Luo, C Monroy, S Sikdar, ... Proceedings of the 2018 International Conference on Management of Data, 1189 …, 2018 | 27 | 2018 |
| Effective video retargeting with jittery assessment B Yan, B Yuan, B Yang IEEE transactions on multimedia 16 (1), 272-277, 2013 | 20 | 2013 |
| Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees J Wang, B Yuan, L Rimanic, Y He, T Dao, B Chen, C Ré, C Zhang Advances in Neural Information Processing Systems 35, 19215-19230, 2022 | 19* | 2022 |
| In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle L Xu, S Qiu, B Yuan, J Jiang, C Renggli, S Gan, K Kara, G Li, J Liu, W Wu, ... Proceedings of the 2022 International Conference on Management of Data, 1286 …, 2022 | 17* | 2022 |
| Lachesis: Automatic Partitioning for UDF-Centric Analytics J Zou, A Das, P Barhate, A Iyengar, B Yuan, D Jankov, C Jermaine Proceedings of the VLDB Endowment 14 (8), 1262-1275, 2021 | 17* | 2021 |
| Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra S Luo, D Jankov, B Yuan, C Jermaine Proceedings of the 2021 International Conference on Management of Data, 1222 …, 2021 | 15 | 2021 |
| Distributed Numerical and Machine Learning Computations via Two-Phase Execution of Aggregated Join Trees D Jankov, B Yuan, S Luo, C Jermaine Proceedings of the VLDB Endowment 14 (7), 1228--1240, 2021 | 12 | 2021 |
Ce ZhangTogether AI; University of ChicagoVerified email at together.xyz