Zobrazeno 1 - 10
of 574
pro vyhledávání: '"GUO Ruifeng"'
Publikováno v:
Zhejiang dianli, Vol 43, Iss 6, Pp 88-100 (2024)
Non-intrusive load monitoring （NILM） not only makes the flow of electric energy transparent but also simplifies the installation process of smart meters， effectively reducing the cost of load monitoring. To enhance the accuracy of load recognit
Externí odkaz:
https://doaj.org/article/bcc90c08d7024a148cde771e111c33c9
Autor:
Wei, Jingxuan, Tan, Cheng, Chen, Qi, Wu, Gaowei, Li, Siyuan, Gao, Zhangyang, Sun, Linzhuang, Yu, Bihui, Guo, Ruifeng
We introduce the task of text-to-diagram generation, which focuses on creating structured visual representations directly from textual descriptions. Existing approaches in text-to-image and text-to-code generation lack the logical organization and fl
Externí odkaz:
http://arxiv.org/abs/2411.11916
Publikováno v:
e-Polymers, Vol 21, Iss 1, Pp 299-308 (2021)
In this work, a phosphorous-containing flame retardant, phenylphosphonate-based compound (EHPP), is synthesized by alcoholysis and hydrazinolysis of phenylphosphonic dichloride, which is subsequently introduced to ethylene-vinyl-acetate (EVA) copolym
Externí odkaz:
https://doaj.org/article/be5f5f8c0284436295facb80323d7e31
Autor:
Tan, Cheng, Wei, Jingxuan, Sun, Linzhuang, Gao, Zhangyang, Li, Siyuan, Yu, Bihui, Guo, Ruifeng, Li, Stan Z.
Large language models equipped with retrieval-augmented generation (RAG) represent a burgeoning field aimed at enhancing answering capabilities by leveraging external knowledge bases. Although the application of RAG with language-only models has been
Externí odkaz:
http://arxiv.org/abs/2405.20834
Knowledge distillation, transferring knowledge from a teacher model to a student model, has emerged as a powerful technique in neural machine translation for compressing models or simplifying training targets. Knowledge distillation encompasses two p
Externí odkaz:
http://arxiv.org/abs/2404.14827
In the fields of computer vision and natural language processing, multimodal chart question-answering, especially involving color, structure, and textless charts, poses significant challenges. Traditional methods, which typically involve either direc
Externí odkaz:
http://arxiv.org/abs/2404.01548
Knowledge distillation, a technique for model compression and performance enhancement, has gained significant traction in Neural Machine Translation (NMT). However, existing research primarily focuses on empirical applications, and there is a lack of
Externí odkaz:
http://arxiv.org/abs/2312.08585
Autor:
Tan, Cheng, Wei, Jingxuan, Gao, Zhangyang, Sun, Linzhuang, Li, Siyuan, Guo, Ruifeng, Yu, Bihui, Li, Stan Z.
Multimodal reasoning is a challenging task that requires models to reason across multiple modalities to answer questions. Existing approaches have made progress by incorporating language and visual modalities into a two-stage reasoning framework, sep
Externí odkaz:
http://arxiv.org/abs/2311.14109
Publikováno v:
Jixie chuandong, Vol 41, Pp 122-127 (2017)
As a model adopted in robot kinematics,MDH model is hardly mentioned in domestic literature.The MDH model about rotating joint is introduced in detail,taking a new type of hybrid palletizing robot as example.The kinematics equations of the robot are
Externí odkaz:
https://doaj.org/article/17b5d3054a324f548ad202d6cc7d4eb6
Autor:
Guo, Ruifeng, Wei, Jingxuan, Sun, Linzhuang, Yu, Bihui, Chang, Guiyong, Liu, Dawei, Zhang, Sibo, Yao, Zhengbing, Xu, Mingjun, Bu, Liping
With the significant advancements of Large Language Models (LLMs) in the field of Natural Language Processing (NLP), the development of image-text multimodal models has garnered widespread attention. Current surveys on image-text multimodal models ma
Externí odkaz:
http://arxiv.org/abs/2309.15857