Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Pei, Zehua"'
Generative Pre-trained Transformers (GPTs) have demonstrated remarkable performance across diverse domains through the extensive scaling of model parameters. Recent works observe the redundancy across the transformer blocks and develop compression me
Externí odkaz:
http://arxiv.org/abs/2411.14507
Considering the challenges faced by large language models (LLMs) in logical reasoning and planning, prior efforts have sought to augment LLMs with access to external solvers. While progress has been made on simple reasoning problems, solving classica
Externí odkaz:
http://arxiv.org/abs/2402.11903
Due to the growing complexity of modern Integrated Circuits (ICs), there is a need for automated circuit design methods. Recent years have seen rising research in hardware design language generation to facilitate the design process. In this work, we
Externí odkaz:
http://arxiv.org/abs/2402.03375
Lithography is fundamental to integrated circuit fabrication, necessitating large computation overhead. The advancement of machine learning (ML)-based lithography models alleviates the trade-offs between manufacturing process expense and capability.
Externí odkaz:
http://arxiv.org/abs/2303.08435
Autor:
Li, Juncheng1 (AUTHOR) cvjunchengli@gmail.com, Pei, Zehua2 (AUTHOR) pzehua2000@gmail.com, Li, Wenjie3 (AUTHOR) lewj2408@gmail.com, Gao, Guangwei4 (AUTHOR) csggao@gmail.com, Wang, Longguang5 (AUTHOR) wanglongguang15@nudt.edu.cn, Wang, Yingqian6 (AUTHOR) wangyingqian16@nudt.edu.cn, Zeng, Tieyong2 (AUTHOR) zeng@math.cuhk.edu.hk
Publikováno v:
ACM Computing Surveys. Oct2024, Vol. 56 Issue 10, p1-40. 40p.
Autor:
Li, Juncheng, Pei, Zehua, Li, Wenjie, Gao, Guangwei, Wang, Longguang, Wang, Yingqian, Zeng, Tieyong
Single-image super-resolution (SISR) is an important task in image processing, which aims to enhance the resolution of imaging systems. Recently, SISR has made a huge leap and has achieved promising results with the help of deep learning (DL). In thi
Externí odkaz:
http://arxiv.org/abs/2109.14335
Akademický článek
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Akademický článek
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Single-image super-resolution (SISR) is an important task in image processing, which aims to enhance the resolution of imaging systems. Recently, SISR has made a huge leap and has achieved promising results with the help of deep learning (DL). In thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dd5c74beb73b40e692e67a392f1e299
Autor:
Pei Zehua, Pingkai Ouyang, Jie Fu, Hao Chen, Xiuyang Lu, Zhaoyin Hou, Kequan Chen, Zihao Zhang
Publikováno v:
Industrial & Engineering Chemistry Research. 57:4225-4230
Al2O3-supported Cu and Ni monometallic as well as Cu–Ni bimetallic catalysts were synthesized using a coprecipitation method and studied for the in-situ hydrogenation of furfural (FAL) with isopropanol as the solvent and hydrogen donor. The Cu–Ni