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pro vyhledávání: '"Guo, Yifei"'
Autor:
Du, Guodong, Lee, Junlin, Li, Jing, Jiang, Runhua, Guo, Yifei, Yu, Shuyang, Liu, Hanting, Goh, Sim Kuan, Tang, Ho-Kin, He, Daojing, Zhang, Min
While fine-tuning pretrained models has become common practice, these models often underperform outside their specific domains. Recently developed model merging techniques enable the direct integration of multiple models, each fine-tuned for distinct
Externí odkaz:
http://arxiv.org/abs/2410.02396
Autor:
Du, Guodong, Li, Jing, Liu, Hanting, Jiang, Runhua, Yu, Shuyang, Guo, Yifei, Goh, Sim Kuan, Tang, Ho-Kin
Fine-tuning pre-trained language models, particularly large language models, demands extensive computing resources and can result in varying performance outcomes across different domains and datasets. This paper examines the approach of integrating m
Externí odkaz:
http://arxiv.org/abs/2406.12208
Spiking neural networks (SNNs) have gained prominence for their potential in neuromorphic computing and energy-efficient artificial intelligence, yet optimizing them remains a formidable challenge for gradient-based methods due to their discrete, spi
Externí odkaz:
http://arxiv.org/abs/2406.02349
When grid-forming (GFM) inverter-based resources (IBRs) face severe grid disturbances (e.g., short-circuit faults), the current limitation mechanism may be triggered. Consequently, the GFM IBRs enter the current-saturation mode, inducing nonlinear dy
Externí odkaz:
http://arxiv.org/abs/2403.05236
A model predictive control (MPC) method for enhancing post-fault transient stability of a grid-forming (GFM) inverter based resources (IBRs) is developed in this paper. This proposed controller is activated as soon as the converter enters into the po
Externí odkaz:
http://arxiv.org/abs/2308.01020
Autor:
You, Juhua1,2 (AUTHOR), Guo, Yifei1,2 (AUTHOR) yguo@implad.ac.cn, Dong, Zhengqi1,2 (AUTHOR) yguo@implad.ac.cn
Publikováno v:
Pharmaceutics. Sep2024, Vol. 16 Issue 9, p1192. 34p.
Inverter-based resources (IBRs) are required to provide dynamic voltage support (DVS) during voltage dips to enhance the low-voltage ride-through capability. In this paper, we develop a model-free control method to achieve the optimal DVS (ODVS) with
Externí odkaz:
http://arxiv.org/abs/2206.09962
Autor:
Wang, Jinjin, Jing, Xingzhi, Liu, Xiaoyang, Chen, Feifei, Ge, Zhongpeng, Liu, Xiaodong, Yang, Heng, Guo, Yifei, Cui, Xingang
Publikováno v:
In International Immunopharmacology 25 October 2024 140
Publikováno v:
In Electric Power Systems Research October 2024 235
Autor:
Wang, Xiaoyan, Liu, Qiang, Zhuang, Ziyan, Cheng, Jianxing, Zhang, Wenxiu, Jiang, Qiaoling, Guo, Yifei, Li, Ran, Lu, Xiaojian, Cui, Lina, Weng, Jiaming, Tang, Yanlin, Yue, Jingwei, Gao, Songzhan, Hong, Kai, Qiao, Jie, Jiang, Hui, Guo, Jingtao, Zhang, Zhe
Publikováno v:
In Cell Reports Medicine 17 September 2024 5(9)