Binhang Yuan(袁彬航)
Binhang Yuan(袁彬航)
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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
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, ...
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
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
A Federated Learning Framework for Healthcare IoT devices
B Yuan, S Ge, W Xing
arXiv preprint arXiv:2005.05083, 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
Distributed Learning of Fully Connected Neural Networks using Independent Subnet Training
B Yuan, CR Wolfe, C Dun, Y Tang, A Kyrillidis, C Jermaine
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
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
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
BAGUA: Scaling up Distributed Learning with System Relaxations
S Gan, X Lian, R Wang, J Chang, C Liu, H Shi, S Zhang, X Li, T Sun, ...
arXiv preprint arXiv:2107.01499, 2021
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
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
Effective video retargeting with jittery assessment
B Yan, B Yuan, B Yang
IEEE transactions on multimedia 16 (1), 272-277, 2013
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
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
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
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
Bayesian Hierarchical Model for Change Point Detection in Multivariate Sequences
H Jin, G Yin, B Yuan, F Jiang
Technometrics 64 (2), 177-186, 2022
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
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