34 citations · 72 across the 3 of their papers we have counts for
3 papers
cs.DC2021★ 34 cited
OneFlow: Redesign the Distributed Deep Learning Framework from Scratch
Jinhui Yuan, Xinqi Li, Cheng Cheng +9
Deep learning frameworks such as TensorFlow and PyTorch provide a productive interface for expressing and training a deep neural network (DNN) model on a single device or using dat…
cs.LG2020★ 31 cited
SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection
Yue Zhao, Xiyang Hu, Cheng Cheng +11
Outlier detection (OD) is a key machine learning (ML) task for identifying abnormal objects from general samples with numerous high-stake applications including fraud detection and…
cs.LG2019★ 7 cited
Combining Machine Learning Models using combo Library
Yue Zhao, Xuejian Wang, Cheng Cheng +1
Model combination, often regarded as a key sub-field of ensemble learning, has been widely used in both academic research and industry applications. To facilitate this process, we…