Zobrazeno 1 - 10
of 817
pro vyhledávání: '"Nie Ying"'
Publikováno v:
Arabian Journal of Chemistry, Vol 17, Iss 9, Pp 105898- (2024)
In this study, a systematic analysis was conducted to investigate the efficiency and mechanism of methylene blue (MB) removal from water using blue coke-based activated carbon (AC) as an adsorbent. The investigation encompassed several critical param
Externí odkaz:
https://doaj.org/article/a592a84bcb3f4300981b6cf924d5a374
Autor:
Deng, Jingyang, Shen, Zhengyang, Wang, Boyang, Su, Lixin, Cheng, Suqi, Nie, Ying, Wang, Junfeng, Yin, Dawei, Ma, Jinwen
The development of Long-Context Large Language Models (LLMs) has markedly advanced natural language processing by facilitating the process of textual data across long documents and multiple corpora. However, Long-Context LLMs still face two critical
Externí odkaz:
http://arxiv.org/abs/2410.06886
Autor:
Zuo, Jialong, Nie, Ying, Zhou, Hanyu, Zhang, Huaxin, Wang, Haoyu, Guo, Tianyu, Sang, Nong, Gao, Changxin
Recent researches have proven that pre-training on large-scale person images extracted from internet videos is an effective way in learning better representations for person re-identification. However, these researches are mostly confined to pre-trai
Externí odkaz:
http://arxiv.org/abs/2409.18569
Publikováno v:
Frontiers in Ecology and Evolution, Vol 10 (2022)
Environmental regulations have been intensified across the country under the pressure of the national “double carbon” strategy, the constraints of energy-saving and emission-reduction targets by enterprises, and public opinion. The tightening of
Externí odkaz:
https://doaj.org/article/c58b1eeead394436a4dc60426b2b1b08
Autor:
Nie, Ying, Yan, Binwei, Guo, Tianyu, Liu, Hao, Wang, Haoyu, He, Wei, Zheng, Binfan, Wang, Weihao, Li, Qiang, Sun, Weijian, Wang, Yunhe, Tao, Dacheng
Large language models (LLMs) have achieved remarkable performance on various NLP tasks, yet their potential in more challenging and domain-specific task, such as finance, has not been fully explored. In this paper, we present CFinBench: a meticulousl
Externí odkaz:
http://arxiv.org/abs/2407.02301
Publikováno v:
Dianzi Jishu Yingyong, Vol 44, Iss 3, Pp 147-150 (2018)
Because of the double LCL wireless power transmission(WPT) system has the characteristics of constant output current and better robustness, it has been widely used in the field of WPT system. However, when the system is light loaded, the output curre
Externí odkaz:
https://doaj.org/article/de77528eacb347ae96cac9717406f457
Autor:
Wang, Yunhe, Chen, Hanting, Tang, Yehui, Guo, Tianyu, Han, Kai, Nie, Ying, Wang, Xutao, Hu, Hailin, Bai, Zheyuan, Wang, Yun, Liu, Fangcheng, Liu, Zhicheng, Guo, Jianyuan, Zeng, Sinan, Zhang, Yinchen, Xu, Qinghua, Liu, Qun, Yao, Jun, Xu, Chao, Tao, Dacheng
The recent trend of large language models (LLMs) is to increase the scale of both model size (\aka the number of parameters) and dataset to achieve better generative ability, which is definitely proved by a lot of work such as the famous GPT and Llam
Externí odkaz:
http://arxiv.org/abs/2312.17276
Autor:
Zuo, Jialong, Zhou, Hanyu, Nie, Ying, Zhang, Feng, Guo, Tianyu, Sang, Nong, Wang, Yunhe, Gao, Changxin
Existing text-based person retrieval datasets often have relatively coarse-grained text annotations. This hinders the model to comprehend the fine-grained semantics of query texts in real scenarios. To address this problem, we contribute a new benchm
Externí odkaz:
http://arxiv.org/abs/2312.03441
Vision-language pre-training like CLIP has shown promising performance on various downstream tasks such as zero-shot image classification and image-text retrieval. Most of the existing CLIP-alike works usually adopt relatively large image encoders li
Externí odkaz:
http://arxiv.org/abs/2312.00674
The development of foundation vision models has pushed the general visual recognition to a high level, but cannot well address the fine-grained recognition in specialized domain such as invasive species classification. Identifying and managing invasi
Externí odkaz:
http://arxiv.org/abs/2309.14183