Daning Cheng

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 11

Top Topics

Gradient Boosting

Top Venues

J. Parallel Distributed Comput.

Publications

Daning Cheng, Shigang Li, Yunquan Zhang
Asynch-SGBDT: Train Stochastic Gradient Boosting Decision Trees in an Asynchronous Parallel Manner. IPDPS (2023)
Daning Cheng, Wenguang Chen
Mixed-Precision Inference Quantization: Radically Towards Faster inference speed, Lower Storage requirement, and Lower Loss. CoRR (2022)
Daning Cheng, Wenguang Chen
Quantization in Layer's Input is Matter. CoRR (2022)
Daning Cheng, Shigang Li, Hanping Zhang, Fen Xia, Yunquan Zhang
Why Dataset Properties Bound the Scalability of Parallel Machine Learning Training Algorithms. IEEE Trans. Parallel Distributed Syst. 32 (7) (2021)
Daning Cheng, Shigang Li, Yunquan Zhang
WP-SGD: Weighted parallel SGD for distributed unbalanced-workload training system. J. Parallel Distributed Comput. 145 (2020)
Daning Cheng, Hanping Zhang, Fen Xia, Shigang Li, Yunquan Zhang
Using Gradient Based Multikernel Gaussian Process and Meta-Acquisition Function to Accelerate SMBO. ICTAI (2019)
Daning Cheng, Hanping Zhang, Fen Xia, Shigang Li, Yunquan Zhang
The Scalability for Parallel Machine Learning Training Algorithm: Dataset Matters. CoRR (2019)
Daning Cheng, Fen Xia, Shigang Li, Yunquan Zhang
Asynchronous Parallel Sampling Gradient Boosting Decision Tree. CoRR (2018)
Daning Cheng, Hanping Zhang, Fen Xia, Shigang Li, Yunquan Zhang
Using Known Information to Accelerate HyperParameters Optimization Based on SMBO. CoRR (2018)
Daning Cheng, Shigang Li, Yunquan Zhang
Weighted parallel SGD for distributed unbalanced-workload training system. CoRR (2017)
Daning Cheng, Shigang Li, Yunquan Zhang
Asynchronous COMID: the theoretic basis for transmitted data sparsification tricks on Parameter Server. CoRR (2017)
Meng Wu, Can Yang, Taoran Xiang, Daning Cheng
The Research and Optimization of Parallel Finite Element Algorithm based on MiniFE. CoRR (2015)