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Yingpeng Wen
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2020 – today
- 2024
- [j4]Yingpeng Wen, Zhilin Qiu, Dongyu Zhang, Dan Huang, Nong Xiao, Liang Lin:
Accelerating Massively Distributed Deep Learning Through Efficient Pseudo-Synchronous Update Method. Int. J. Parallel Program. 52(3): 125-146 (2024) - [j3]Jiangsu Du, Dong-Sheng Li, Yingpeng Wen, Jiazhi Jiang, Dan Huang, Xiangke Liao, Yutong Lu:
SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems. J. Comput. Sci. Technol. 39(2): 384-400 (2024) - [j2]Yingpeng Wen
, Weijiang Yu
AdaNAS: Adaptively Postprocessing With Self-Supervised Neural Architecture Search for Ensemble Rainfall Forecasts. IEEE Trans. Geosci. Remote. Sens. 62: 1-10 (2024) - 2023
- [i2]Yingpeng Wen, Weijiang Yu, Fudan Zheng, Dan Huang, Nong Xiao:
AdaNAS: Adaptively Post-processing with Self-supervised Neural Architecture Search for Ensemble Rainfall Forecasts. CoRR abs/2312.16046 (2023) - 2022
- [j1]Yingpeng Wen
Improving the exploration efficiency of DQNs via the confidence bound methods. Appl. Intell. 52(13): 15447-15461 (2022) - [i1]Jiangsu Du, Dongsheng Li, Yingpeng Wen, Jiazhi Jiang, Dan Huang, Xiangke Liao, Yutong Lu:
SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems. CoRR abs/2212.03410 (2022) - 2021
- [c1]Weijiang Yu, Yingpeng Wen, Fudan Zheng, Nong Xiao:
Improving Math Word Problems with Pre-trained Knowledge and Hierarchical Reasoning. EMNLP (1) 2021: 3384-3394
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