Zobrazeno 1 - 10
of 817
pro vyhledávání: '"Zhao Zhifeng"'
Autor:
Zhao Zhifeng, Li Zhiwei
Publikováno v:
Redai dili, Vol 43, Iss 7, Pp 1351-1363 (2023)
Pertinent evidence clearly shows that food not only meets the basic needs of tourists, but is also an important carrier of the tourist experience. We investigated the type of restaurants that tourists favor. Obtaining tourists' identity from food and
Externí odkaz:
https://doaj.org/article/3c7aa09c4d4e45868dcc2dcfe1827d07
Publikováno v:
矿业科学学报, Vol 6, Iss 5, Pp 536-547 (2021)
In order to solve the problem of flexural floor heave support under the condition of weak floor with high stress, the supporting form of concrete filled steel tube floor corner pile is put forward. The failure characteristics of the surrounding rock
Externí odkaz:
https://doaj.org/article/29888d9f004e47c4a2dfb418d0de1741
We present MERLOT, a scalable mixture-of-expert (MoE) based refinement of distilled large language model optimized for encrypted traffic classification. By applying model distillation techniques in a teacher-student paradigm, compact models derived f
Externí odkaz:
http://arxiv.org/abs/2411.13004
Light field microscopy (LFM) has been widely utilized in various fields for its capability to efficiently capture high-resolution 3D scenes. Despite the rapid advancements in neural representations, there are few methods specifically tailored for mic
Externí odkaz:
http://arxiv.org/abs/2409.18223
Autor:
Wu, Niannian, Yang, Zongyu, Li, Rongpeng, Wei, Ning, Chen, Yihang, Dong, Qianyun, Li, Jiyuan, Zheng, Guohui, Gong, Xinwen, Gao, Feng, Li, Bo, Xu, Min, Zhao, Zhifeng, Zhong, Wulyu
The drive to control tokamaks, a prominent technology in nuclear fusion, is essential due to its potential to provide a virtually unlimited source of clean energy. Reinforcement learning (RL) promises improved flexibility to manage the intricate and
Externí odkaz:
http://arxiv.org/abs/2409.09238
Autor:
Dong, Qianyun, Chen, Zhengwei, Li, Rongpeng, Yang, Zongyu, Gao, Feng, Chen, Yihang, Xia, Fan, Zhong, Wulyu, Zhao, Zhifeng
In the field of magnetic confinement plasma control, the accurate feedback of plasma position and shape primarily relies on calculations derived from magnetic measurements through equilibrium reconstruction or matrix mapping method. However, under ha
Externí odkaz:
http://arxiv.org/abs/2407.14232
Publikováno v:
SHS Web of Conferences, Vol 163, p 03001 (2023)
Developing a more scientific COVID-19 response strategy has become a hot topic today. By sorting out a large amount of data, this paper predicts the spread law of the epidemic in Shanghai, Beijing, and Changchun in May, summarizing the key factors re
Externí odkaz:
https://doaj.org/article/89c73cc2d91b4dfd9cc65e29872f7d56
Optimizing the deployment of large language models (LLMs) in edge computing environments is critical for enhancing privacy and computational efficiency. Toward efficient wireless LLM inference in edge computing, this study comprehensively analyzes th
Externí odkaz:
http://arxiv.org/abs/2406.02616
Autor:
Yu, Xiaoxue, Yi, Xingfu, Li, Rongpeng, Wang, Fei, Peng, Chenghui, Zhao, Zhifeng, Zhang, Honggang
In the evolution towards 6G, integrating Artificial Intelligence (AI) with advanced network infrastructure emerges as a pivotal strategy for enhancing network intelligence and resource utilization. Existing distributed learning frameworks like Federa
Externí odkaz:
http://arxiv.org/abs/2405.03372
Semantic communication (SemCom) aims to achieve high fidelity information delivery under low communication consumption by only guaranteeing semantic accuracy. Nevertheless, semantic communication still suffers from unexpected channel volatility and t
Externí odkaz:
http://arxiv.org/abs/2403.11542