Zobrazeno 1 - 10
of 1 026
pro vyhledávání: '"Xu, Xiaohua"'
Autor:
Zhou, Wangchunshu, Ou, Yixin, Ding, Shengwei, Li, Long, Wu, Jialong, Wang, Tiannan, Chen, Jiamin, Wang, Shuai, Xu, Xiaohua, Zhang, Ningyu, Chen, Huajun, Jiang, Yuchen Eleanor
The AI community has been exploring a pathway to artificial general intelligence (AGI) by developing "language agents", which are complex large language models (LLMs) pipelines involving both prompting techniques and tool usage methods. While languag
Externí odkaz:
http://arxiv.org/abs/2406.18532
Graph Neural Networks (GNNs) have recently been widely adopted in multiple domains. Yet, they are notably vulnerable to adversarial and backdoor attacks. In particular, backdoor attacks based on subgraph insertion have been shown to be effective in g
Externí odkaz:
http://arxiv.org/abs/2406.10655
Federated learning (FL) is a popular privacy-preserving paradigm that enables distributed clients to collaboratively train models with a central server while keeping raw data locally. In practice, distinct model architectures, varying data distributi
Externí odkaz:
http://arxiv.org/abs/2405.17267
Autor:
Wang, Tiannan, Chen, Jiamin, Jia, Qingrui, Wang, Shuai, Fang, Ruoyu, Wang, Huilin, Gao, Zhaowei, Xie, Chunzhao, Xu, Chuou, Dai, Jihong, Liu, Yibin, Wu, Jialong, Ding, Shengwei, Li, Long, Huang, Zhiwei, Deng, Xinle, Yu, Teng, Ma, Gangan, Xiao, Han, Chen, Zixin, Xiang, Danjun, Wang, Yunxia, Zhu, Yuanyuan, Xiao, Yi, Wang, Jing, Wang, Yiru, Ding, Siran, Huang, Jiayang, Xu, Jiayi, Tayier, Yilihamu, Hu, Zhenyu, Gao, Yuan, Zheng, Chengfeng, Ye, Yueshu, Li, Yihang, Wan, Lei, Jiang, Xinyue, Wang, Yujie, Cheng, Siyu, Song, Zhule, Tang, Xiangru, Xu, Xiaohua, Zhang, Ningyu, Chen, Huajun, Jiang, Yuchen Eleanor, Zhou, Wangchunshu
This work introduces Weaver, our first family of large language models (LLMs) dedicated to content creation. Weaver is pre-trained on a carefully selected corpus that focuses on improving the writing capabilities of large language models. We then fin
Externí odkaz:
http://arxiv.org/abs/2401.17268
Federated learning (FL) has attracted growing attention since it allows for privacy-preserving collaborative training on decentralized clients without explicitly uploading sensitive data to the central server. However, recent works have revealed that
Externí odkaz:
http://arxiv.org/abs/2312.10380
The Internet of Vehicles (IoV) is formed by connecting vehicles to Internet of Things. It enables vehicles to ubiquitously access to the information of customers (drivers), suppliers, and even producers to structure an IoV-based industrial value chai
Externí odkaz:
http://arxiv.org/abs/2302.01744
Autor:
Li, Nan1,2 (AUTHOR) linan@edu.iwhr.com, Xu, Xiaohua3,4 (AUTHOR) zgxxh79@163.com, Huang, Shifeng1,2 (AUTHOR) huangsf@iwhr.com, Sun, Yayong1,2 (AUTHOR) majw@iwhr.com, Ma, Jianwei1,2 (AUTHOR) zhuhe@iwhr.com, Zhu, He1,2 (AUTHOR) humengcheng@163.com, Hu, Mengcheng1,2 (AUTHOR)
Publikováno v:
Remote Sensing. Sep2024, Vol. 16 Issue 18, p3391. 20p.
Autor:
Ma, Tianfeng, Jia, Yanyan, Shi, Lin, Xu, Xiaohua, Zheng, Kun, Fu, Zijia, Wang, Huan, Lu, Yongchang
Publikováno v:
In Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 15 November 2024 321
Autor:
Xiao, Ting, Zhang, Yuyuan, Wu, Leping, Zhong, Qi, Li, Xiaofeng, Shen, Shengjie, Xu, Xiaohua, Cao, Xiaoma, Zhou, Zheng, Wong, Hai Ming, Li, Quan-Li
Publikováno v:
In International Journal of Biological Macromolecules November 2024 281 Part 3
Publikováno v:
In Construction and Building Materials 11 October 2024 447