Zobrazeno 1 - 10
of 1 709
pro vyhledávání: '"Wang,Mingyu"'
A fast multipole method (FMM)-accelerated surface integral equation (SIE) simulator, called XRL, is proposed for broadband resistance/inductance (RL) extraction under the magneto-quasi-static assumption. The proposed XRL has three key attributes that
Externí odkaz:
http://arxiv.org/abs/2409.12375
Autor:
Hu, Mengya, Xu, Rui, Lei, Deren, Li, Yaxi, Wang, Mingyu, Ching, Emily, Kamal, Eslam, Deng, Alex
Large language models (LLMs) are highly capable but face latency challenges in real-time applications, such as conducting online hallucination detection. To overcome this issue, we propose a novel framework that leverages a small language model (SLM)
Externí odkaz:
http://arxiv.org/abs/2408.12748
Dataset distillation (DD) has emerged as a widely adopted technique for crafting a synthetic dataset that captures the essential information of a training dataset, facilitating the training of accurate neural models. Its applications span various dom
Externí odkaz:
http://arxiv.org/abs/2402.04676
Learning the dense bird's eye view (BEV) motion flow in a self-supervised manner is an emerging research for robotics and autonomous driving. Current self-supervised methods mainly rely on point correspondences between point clouds, which may introdu
Externí odkaz:
http://arxiv.org/abs/2401.11499
Large language models (LLMs) can generate fluent natural language texts when given relevant documents as background context. This ability has attracted considerable interest in developing industry applications of LLMs. However, LLMs are prone to gene
Externí odkaz:
http://arxiv.org/abs/2310.03951
Autor:
Wang, Mingyu1 (AUTHOR), Yue, Jiaqi1 (AUTHOR), Lv, Guangquan1 (AUTHOR) wangmingyu@nwafu.edu.cn, Wang, Yaxin1 (AUTHOR), Guo, Ao1 (AUTHOR), Liu, Zhe1 (AUTHOR), Yu, Taiyong1 (AUTHOR) yutaiyong310@nwsuaf.edu.cn, Yang, Gongshe1 (AUTHOR) yutaiyong310@nwsuaf.edu.cn
Publikováno v:
Animals (2076-2615). Sep2024, Vol. 14 Issue 18, p2714. 20p.
We present a novel approach for risk-aware planning with human agents in multi-agent traffic scenarios. Our approach takes into account the wide range of human driver behaviors on the road, from aggressive maneuvers like speeding and overtaking, to c
Externí odkaz:
http://arxiv.org/abs/2205.00562
Publikováno v:
Information Technology & People, 2022, Vol. 36, Issue 7, pp. 2826-2846.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ITP-01-2022-0059
Autor:
Li, Zhenju, Chen, Junbin, Liu, Chuang, He, Shengfeng, Wang, Mingyu, Wang, Lei, Bhadauria, Vijai, Wang, Shiwei, Cheng, Wenyu, Liu, Hui, Yang, Xiaohong, Xu, Mingliang, Peng, You-Liang, Zhu, Wangsheng
Publikováno v:
In Molecular Plant 7 October 2024 17(10):1606-1623