Zobrazeno 1 - 10
of 2 171
pro vyhledávání: '"Zhang, Chuang"'
Autor:
Zhang, Chuang, Sun, Geng, Li, Jiahui, Wu, Qingqing, Wang, Jiacheng, Niyato, Dusit, Liu, Yuanwei
Due to flexibility and low-cost, unmanned aerial vehicles (UAVs) are increasingly crucial for enhancing coverage and functionality of wireless networks. However, incorporating UAVs into next-generation wireless communication systems poses significant
Externí odkaz:
http://arxiv.org/abs/2407.08914
Autor:
Xu, Mengqiu, Wu, Ming, Chen, Kaixin, Huang, Yixiang, Xu, Mingrui, Yang, Yujia, Feng, Yiqing, Guo, Yiying, Huang, Bin, Chang, Dongliang, Shi, Zhenwei, Zhang, Chuang, Ma, Zhanyu, Guo, Jun
Marine fog poses a significant hazard to global shipping, necessitating effective detection and forecasting to reduce economic losses. In recent years, several machine learning (ML) methods have demonstrated superior detection accuracy compared to tr
Externí odkaz:
http://arxiv.org/abs/2406.13317
Autor:
Sun, Jianshi, Li, Shouhang, Tong, Zhen, Shao, Cheng, Xie, Han, An, Meng, Zhang, Chuang, Zhu, Xiongfei, Huang, Chen, Xiong, Yucheng, Liu, Xiangjun
Accurately assessing the impact of electron-phonon interaction (EPI) on the lattice thermal conductivity of semiconductors is crucial for the thermal management of electronic devices and a unified physical understanding of this issue is highly desire
Externí odkaz:
http://arxiv.org/abs/2406.12187
Autor:
Sun, Jianshi, Li, Shouhang, Tong, Zhen, Shao, Cheng, An, Meng, Zhu, Xiongfei, Zhang, Chuang, Chen, Xiangchuan, Xiong, Yucheng, Frauenheim, Thomas, Liu, Xiangjun
4H-Silicon Carbide (4H-SiC) possesses a high Baliga figure of merit, making it a promising material for power electronics. However, its applications are limited by its low hole mobility. Herein, we found that the hole mobility of 4H-SiC is mainly lim
Externí odkaz:
http://arxiv.org/abs/2406.02874
Autor:
Zhang, Zefeng, Sheng, Jiawei, Zhang, Chuang, Liang, Yunzhi, Zhang, Wenyuan, Wang, Siqi, Liu, Tingwen
Multimodal Entity Linking (MEL) aims to link ambiguous mentions in multimodal contexts to entities in a multimodal knowledge graph. A pivotal challenge is to fully leverage multi-element correlations between mentions and entities to bridge modality g
Externí odkaz:
http://arxiv.org/abs/2406.01934
The well-established modular autonomous driving system is decoupled into different standalone tasks, e.g. perception, prediction and planning, suffering from information loss and error accumulation across modules. In contrast, end-to-end paradigms un
Externí odkaz:
http://arxiv.org/abs/2405.19620
Multi-scale learning is central to semantic segmentation. We visualize the effective receptive field (ERF) of canonical multi-scale representations and point out two risks in learning them: scale inadequacy and field inactivation. A novel multi-scale
Externí odkaz:
http://arxiv.org/abs/2404.16573
Autor:
Wang, Longzheng, Xu, Xiaohan, Zhang, Lei, Lu, Jiarui, Xu, Yongxiu, Xu, Hongbo, Tang, Minghao, Zhang, Chuang
Automatic detection of multimodal misinformation has gained a widespread attention recently. However, the potential of powerful Large Language Models (LLMs) for multimodal misinformation detection remains underexplored. Besides, how to teach LLMs to
Externí odkaz:
http://arxiv.org/abs/2403.14171
Publikováno v:
IJCAI (2021) 1915-1921
In recent years, temporal knowledge graph (TKG) reasoning has received significant attention. Most existing methods assume that all timestamps and corresponding graphs are available during training, which makes it difficult to predict future events.
Externí odkaz:
http://arxiv.org/abs/2402.12074
Roadside perception can greatly increase the safety of autonomous vehicles by extending their perception ability beyond the visual range and addressing blind spots. However, current state-of-the-art vision-based roadside detection methods possess hig
Externí odkaz:
http://arxiv.org/abs/2401.16110