Daning Cheng

According to our database, Daning Cheng authored at least 19 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

MoQE: Improve Quantization Model performance via Mixture of Quantization Experts.

Jinhao Zhang, Yunquan Zhang, Boyang Zhang, Zeyu Liu, Daning Cheng

CoRR, August, 2025

How to Train a Model on a Cheap Cluster with Low Cost using Block Coordinate Descent.

Zeyu Liu, Yunquan Zhang, Boyang Zhang, Guoyong Jiang, Daning Cheng

CoRR, June, 2025

Can the capability of Large Language Models be described by human ability? A Meta Study.

Mingrui Zan, Yunquan Zhang, Boyang Zhang, Fangming Liu, Daning Cheng

CoRR, April, 2025

A General Error-Theoretical Analysis Framework for Constructing Compression Strategies.

Boyang Zhang, Daning Cheng, Yunquan Zhang, Meiqi Tu, Fangmin Liu, Jiake Tian

CoRR, February, 2025

2024

Compression for Better: A General and Stable Lossless Compression Framework.

Boyang Zhang, Daning Cheng, Yunquan Zhang, Fangmin Liu, Wenguang Chen

CoRR, 2024

Lossless Model Compression via Joint Low-Rank Factorization Optimization.

Boyang Zhang, Daning Cheng, Yunquan Zhang, Fangmin Liu, Jiake Tian

CoRR, 2024

FP=xINT:A Low-Bit Series Expansion Algorithm for Post-Training Quantization.

Boyang Zhang, Daning Cheng, Yunquan Zhang, Fangmin Liu

CoRR, 2024

2023

Asynch-SGBDT: Train Stochastic Gradient Boosting Decision Trees in an Asynchronous Parallel Manner.

Daning Cheng, Shigang Li, Yunquan Zhang

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.

Daning Cheng, Wenguang Chen

CoRR, 2022

Quantization in Layer's Input is Matter.

Daning Cheng, Wenguang Chen

CoRR, 2022

2021

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

Daning Cheng, Shigang Li, Hanping Zhang, Fen Xia, Yunquan Zhang

IEEE Trans. Parallel Distributed Syst., 2021

2020

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

Daning Cheng, Shigang Li, Yunquan Zhang

J. Parallel Distributed Comput., 2020

2019

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

Daning Cheng, Hanping Zhang, Fen Xia, Shigang Li, Yunquan Zhang

CoRR, 2019

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

Daning Cheng, Hanping Zhang, Fen Xia, Shigang Li, Yunquan Zhang

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

2018

Using Known Information to Accelerate HyperParameters Optimization Based on SMBO.

Daning Cheng, Hanping Zhang, Fen Xia, Shigang Li, Yunquan Zhang

CoRR, 2018

Asynchronous Parallel Sampling Gradient Boosting Decision Tree.

Daning Cheng, Fen Xia, Shigang Li, Yunquan Zhang

CoRR, 2018

2017

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

Daning Cheng, Shigang Li, Yunquan Zhang

CoRR, 2017

Weighted parallel SGD for distributed unbalanced-workload training system.

Daning Cheng, Shigang Li, Yunquan Zhang

CoRR, 2017

2015

The Research and Optimization of Parallel Finite Element Algorithm based on MiniFE.

Meng Wu, Can Yang, Taoran Xiang, Daning Cheng

CoRR, 2015