Zobrazeno 1 - 10
of 905
pro vyhledávání: '"Xu Jiarui"'
Publikováno v:
Dianzi Jishu Yingyong, Vol 49, Iss 2, Pp 121-126 (2023)
High efficiency, high switching frequency and digital control are the research hotspots in the field of switching power supply in recent years. In this paper, the design strategy of synchronous buck digital power supply based on average current mode
Externí odkaz:
https://doaj.org/article/8c028589778e44c7a854ac64a8cc0eb7
How can we predict future interaction trajectories of human hands in a scene given high-level colloquial task specifications in the form of natural language? In this paper, we extend the classic hand trajectory prediction task to two tasks involving
Externí odkaz:
http://arxiv.org/abs/2412.13187
Publikováno v:
Guan'gai paishui xuebao, Vol 40, Iss 6, Pp 36-44 (2021)
【Background】 In Jinzhong wheat area, Water resources are insufficient and water use efficiency is low. To irrigate properly and timely to improve water use efficiency is essential to sustainable production of local wheat. 【Objective】 The purp
Externí odkaz:
https://doaj.org/article/41a76645fe81472bb66ea4eb3100e645
Publikováno v:
Guan'gai paishui xuebao, Vol 40, Iss 5, Pp 46-53 (2021)
【Objective】 In order to provide theoretical and technical support for water-saving and efficient production of Winter Wheat in Jinzhong region, the carbon metabolism of winter wheat after anthesis was studied under different irrigation conditions
Externí odkaz:
https://doaj.org/article/6b39f43eeefb4b6b88bcb24b3f8fd2de
Autor:
Sun, Yu, Li, Xinhao, Dalal, Karan, Xu, Jiarui, Vikram, Arjun, Zhang, Genghan, Dubois, Yann, Chen, Xinlei, Wang, Xiaolong, Koyejo, Sanmi, Hashimoto, Tatsunori, Guestrin, Carlos
Self-attention performs well in long context but has quadratic complexity. Existing RNN layers have linear complexity, but their performance in long context is limited by the expressive power of their hidden state. We propose a new class of sequence
Externí odkaz:
http://arxiv.org/abs/2407.04620
Orthogonal time frequency space (OTFS) is a promising modulation scheme for wireless communication in high-mobility scenarios. Recently, a reservoir computing (RC) based approach has been introduced for online subframe-based symbol detection in the O
Externí odkaz:
http://arxiv.org/abs/2406.16868
Integration of artificial intelligence (AI) and machine learning (ML) into the air interface has been envisioned as a key technology for next-generation (NextG) cellular networks. At the air interface, multiple-input multiple-output (MIMO) and its va
Externí odkaz:
http://arxiv.org/abs/2403.02651
Autor:
Xu, Jiarui, Zhou, Xingyi, Yan, Shen, Gu, Xiuye, Arnab, Anurag, Sun, Chen, Wang, Xiaolong, Schmid, Cordelia
Large language models have achieved great success in recent years, so as their variants in vision. Existing vision-language models can describe images in natural languages, answer visual-related questions, or perform complex reasoning about the image
Externí odkaz:
http://arxiv.org/abs/2312.09237
Autor:
Xu, Jiarui, Gandelsman, Yossi, Bar, Amir, Yang, Jianwei, Gao, Jianfeng, Darrell, Trevor, Wang, Xiaolong
In-context learning allows adapting a model to new tasks given a task description at test time. In this paper, we present IMProv - a generative model that is able to in-context learn visual tasks from multimodal prompts. Given a textual description o
Externí odkaz:
http://arxiv.org/abs/2312.01771
Orthogonal time frequency space (OTFS) is a promising modulation scheme for wireless communication in high-mobility scenarios. Recently, a reservoir computing (RC) based approach has been introduced for online subframe-based symbol detection in the O
Externí odkaz:
http://arxiv.org/abs/2311.08543