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2020 – today
- 2024
[j11]Bin Liu, Xulei Huang, Leiming Sun, Xing Wei, Zeyu Ji, Haixi Zhang:
MCDCNet: Multi-scale constrained deformable convolution network for apple leaf disease detection. Comput. Electron. Agric. 222: 109028 (2024)- [j10]Wenlong Zou, Haipeng Zhao, Ming Ren, Chaoxiong Cui, Guobin Yuan, Boyi Yuan, Zeyu Ji, Chao Wu, Bin Cai, Tingting Yang, Jinjun Zou, Guangzhi Liu:
Risk factors and prediction model for acute ischemic stroke after off-pump coronary artery bypass grafting based on Bayesian network. BMC Medical Informatics Decis. Mak. 24(1): 349 (2024) - [j9]Zheng Wei
, Xingjun Zhang, Zeyu Ji, Jingbo Li, Jia Wei:
Revisit and Benchmarking of Automated Quantization Toward Fair Comparison. IEEE Trans. Computers 73(1): 18-29 (2024) - [j8]Feixiang Yao, Zhonghao Zhang, Zeyu Ji, Bin Liu, Haoyuan Gao:
LBB: load-balanced batching for efficient distributed learning on heterogeneous GPU cluster. J. Supercomput. 80(9): 12247-12272 (2024) - 2023
- [j7]Jia Wei, Xingjun Zhang, Zhimin Zhuo, Zeyu Ji, Zheng Wei, Jingbo Li, Qianyang Li:
Leader population learning rate schedule. Inf. Sci. 623: 455-468 (2023) - 2022
- [j6]Jia Wei, Xingjun Zhang, Zeyu Ji, Zheng Wei, Jingbo Li:
DPLRS: Distributed Population Learning Rate Schedule. Future Gener. Comput. Syst. 132: 40-50 (2022) - [j5]Jingbo Li, Xingjun Zhang, Jia Wei, Zeyu Ji, Zheng Wei:
GARLSched: Generative adversarial deep reinforcement learning task scheduling optimization for large-scale high performance computing systems. Future Gener. Comput. Syst. 135: 259-269 (2022) - [j4]Zeyu Ji, Xingjun Zhang, Jingbo Li, Jia Wei, Zheng Wei:
EP4DDL: addressing straggler problem in heterogeneous distributed deep learning. J. Supercomput. 78(13): 15663-15680 (2022) - [c2]Zheng Wei, Xingjun Zhang, Jingbo Li, Zeyu Ji, Jia Wei:
BenQ: Benchmarking Automated Quantization on Deep Neural Network Accelerators. DATE 2022: 1479-1484 - 2021
- [j3]Jingbo Li, Xingjun Zhang, Zheng Wei, Jia Wei, Zeyu Ji:
Energy-aware task scheduling optimization with deep reinforcement learning for large-scale heterogeneous systems. CCF Trans. High Perform. Comput. 3(4): 383-392 (2021) - [j2]Zeyu Ji, Xingjun Zhang, Zheng Wei, Jingbo Li, Jia Wei:
A tile-fusion method for accelerating Winograd convolutions. Neurocomputing 460: 9-19 (2021) - [j1]Jingbo Li, Xingjun Zhang, Li Han, Zeyu Ji, Xiaoshe Dong, Chenglong Hu:
OKCM: improving parallel task scheduling in high-performance computing systems using online learning. J. Supercomput. 77(6): 5960-5983 (2021) - [c1]Jia Wei, Xingjun Zhang, Zeyu Ji, Jingbo Li, Zheng Wei:
PANDA: Population Automatic Neural Distributed Algorithm for Deep Leaning. ISPA/BDCloud/SocialCom/SustainCom 2021: 1370-1377
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