Zeyu Ji

According to our database, Zeyu Ji authored at least 13 papers between 2021 and 2024.

Collaborative distances:

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

2024

Risk factors and prediction model for acute ischemic stroke after off-pump coronary artery bypass grafting based on Bayesian network.

Wenlong Zou, Haipeng Zhao, Ming Ren, Chaoxiong Cui, Guobin Yuan, Boyi Yuan, Zeyu Ji, Chao Wu, Bin Cai, Tingting Yang, Jinjun Zou, Guangzhi Liu

BMC Medical Informatics Decis. Mak., December, 2024

LBB: load-balanced batching for efficient distributed learning on heterogeneous GPU cluster.

Feixiang Yao, Zhonghao Zhang, Zeyu Ji, Bin Liu, Haoyuan Gao

J. Supercomput., June, 2024

Revisit and Benchmarking of Automated Quantization Toward Fair Comparison.

Zheng Wei, Xingjun Zhang, Zeyu Ji, Jingbo Li, Jia Wei

IEEE Trans. Computers, January, 2024

MCDCNet: Multi-scale constrained deformable convolution network for apple leaf disease detection.

Bin Liu, Xulei Huang, Leiming Sun, Xing Wei, Zeyu Ji, Haixi Zhang

Comput. Electron. Agric., 2024

2023

Leader population learning rate schedule.

Jia Wei, Xingjun Zhang, Zhimin Zhuo, Zeyu Ji, Zheng Wei, Jingbo Li, Qianyang Li

Inf. Sci., April, 2023

2022

EP4DDL: addressing straggler problem in heterogeneous distributed deep learning.

Zeyu Ji, Xingjun Zhang, Jingbo Li, Jia Wei, Zheng Wei

J. Supercomput., 2022

DPLRS: Distributed Population Learning Rate Schedule.

Jia Wei, Xingjun Zhang, Zeyu Ji, Zheng Wei, Jingbo Li

Future Gener. Comput. Syst., 2022

GARLSched: Generative adversarial deep reinforcement learning task scheduling optimization for large-scale high performance computing systems.

Jingbo Li, Xingjun Zhang, Jia Wei, Zeyu Ji, Zheng Wei

Future Gener. Comput. Syst., 2022

BenQ: Benchmarking Automated Quantization on Deep Neural Network Accelerators.

Zheng Wei, Xingjun Zhang, Jingbo Li, Zeyu Ji, Jia Wei

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

OKCM: improving parallel task scheduling in high-performance computing systems using online learning.

Jingbo Li, Xingjun Zhang, Li Han, Zeyu Ji, Xiaoshe Dong, Chenglong Hu

J. Supercomput., 2021

A tile-fusion method for accelerating Winograd convolutions.

Zeyu Ji, Xingjun Zhang, Zheng Wei, Jingbo Li, Jia Wei

Neurocomputing, 2021

Energy-aware task scheduling optimization with deep reinforcement learning for large-scale heterogeneous systems.

Jingbo Li, Xingjun Zhang, Zheng Wei, Jia Wei, Zeyu Ji

CCF Trans. High Perform. Comput., 2021

PANDA: Population Automatic Neural Distributed Algorithm for Deep Leaning.

Jia Wei, Xingjun Zhang, Zeyu Ji, Jingbo Li, Zheng Wei

Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021