Daning Cheng

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022

Mixed-Precision Inference Quantization: Radically Towards Faster inference speed, Lower Storage requirement, and Lower Loss.

[BibT_eX]

[DOI]

Wenguang Chen

CoRR, 2022

Quantization in Layer's Input is Matter.

[BibT_eX]

[DOI]

Wenguang Chen

CoRR, 2022

2021

Why Dataset Properties Bound the Scalability of Parallel Machine Learning Training Algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2021

2020

WP-SGD: Weighted parallel SGD for distributed unbalanced-workload training system.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., 2020

2019

The Scalability for Parallel Machine Learning Training Algorithm: Dataset Matters.

[BibT_eX]

[DOI]

CoRR, 2019

Using Gradient Based Multikernel Gaussian Process and Meta-Acquisition Function to Accelerate SMBO.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018

Using Known Information to Accelerate HyperParameters Optimization Based on SMBO.

[BibT_eX]

[DOI]

CoRR, 2018

Asynchronous Parallel Sampling Gradient Boosting Decision Tree.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Asynchronous COMID: the theoretic basis for transmitted data sparsification tricks on Parameter Server.

[BibT_eX]

[DOI]

CoRR, 2017

Weighted parallel SGD for distributed unbalanced-workload training system.

[BibT_eX]

[DOI]