Zobrazeno 1 - 10
of 918
pro vyhledávání: '"Jiang , Zihao"'
Autor:
Xie, Qianqian, Li, Dong, Xiao, Mengxi, Jiang, Zihao, Xiang, Ruoyu, Zhang, Xiao, Chen, Zhengyu, He, Yueru, Han, Weiguang, Yang, Yuzhe, Chen, Shunian, Zhang, Yifei, Shen, Lihang, Kim, Daniel, Liu, Zhiwei, Luo, Zheheng, Yu, Yangyang, Cao, Yupeng, Deng, Zhiyang, Yao, Zhiyuan, Li, Haohang, Feng, Duanyu, Dai, Yongfu, Somasundaram, VijayaSai, Lu, Peng, Zhao, Yilun, Long, Yitao, Xiong, Guojun, Smith, Kaleb, Yu, Honghai, Lai, Yanzhao, Peng, Min, Nie, Jianyun, Suchow, Jordan W., Liu, Xiao-Yang, Wang, Benyou, Lopez-Lira, Alejandro, Huang, Jimin, Ananiadou, Sophia
Large language models (LLMs) have advanced financial applications, yet they often lack sufficient financial knowledge and struggle with tasks involving multi-modal inputs like tables and time series data. To address these limitations, we introduce \t
Externí odkaz:
http://arxiv.org/abs/2408.11878
Autor:
Jiang, Zihao, Du, Zefan, Ruan, Shaolun, Chen, Juntao, Wang, Yong, Cheng, Long, Buyya, Rajkumar, Mao, Ying
Over the past decade, the rapid advancement of deep learning and big data applications has been driven by vast datasets and high-performance computing systems. However, as we approach the physical limits of semiconductor fabrication in the post-Moore
Externí odkaz:
http://arxiv.org/abs/2405.04490
Temporal Knowledge Graph Reasoning (TKGR) is the task of inferring missing facts for incomplete TKGs in complex scenarios (e.g., transductive and inductive settings), which has been gaining increasing attention. Recently, to mitigate dependence on st
Externí odkaz:
http://arxiv.org/abs/2404.00051
Autor:
Jiang, Zihao, Shi, Jiarong
Publikováno v:
Kybernetes, 2023, Vol. 53, Issue 11, pp. 4654-4677.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/K-04-2023-0677
Publikováno v:
Journal of Business & Industrial Marketing, 2024, Vol. 39, Issue 10, pp. 2186-2204.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JBIM-09-2023-0508
Multimodal large language models are typically trained in two stages: first pre-training on image-text pairs, and then fine-tuning using supervised vision-language instruction data. Recent studies have shown that large language models can achieve sat
Externí odkaz:
http://arxiv.org/abs/2308.12067
Few-shot learning aims to train models that can be generalized to novel classes with only a few samples. Recently, a line of works are proposed to enhance few-shot learning with accessible semantic information from class names. However, these works f
Externí odkaz:
http://arxiv.org/abs/2307.04114
Publikováno v:
Shuitu Baochi Xuebao, Vol 38, Iss 3, Pp 29-36 (2024)
[Objective] The purpose of the study was to explore the rainwater harvesting effect and erosion damage resistance of different types of artificial biocrusted soil surfaces in the hilly region of Chinese Loess Plateau. [Methods] The biocrusted soil su
Externí odkaz:
https://doaj.org/article/6d1895d59e7247b38f39134368139469
Autor:
Jiang, Zihao1,2 (AUTHOR) jiangzh76@mail2.sysu.edu.cn, Wei, Chunlei3 (AUTHOR) weicl@scs.mnr.gov.cn, Yang, Fan3 (AUTHOR) yangf@scs.mnr.gov.cn, Wei, Jun1,2 (AUTHOR) weijun5@mail.sysu.edu.cn
Publikováno v:
Remote Sensing. Sep2024, Vol. 16 Issue 17, p3276. 21p.
Publikováno v:
In Journal of Materials Research and Technology November-December 2024 33:4938-4951