Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Du, Yuyang"'
Large language models (LLMs) are being widely researched across various disciplines, with significant recent efforts focusing on adapting LLMs for understanding of how communication networks operate. However, over-reliance on prompting techniques hin
Externí odkaz:
http://arxiv.org/abs/2409.19007
Semantic communication is a promising technology for next-generation wireless networks. However, the out-of-distribution (OOD) problem, where a pre-trained machine learning (ML) model is applied to unseen tasks that are outside the distribution of it
Externí odkaz:
http://arxiv.org/abs/2407.15335
Autor:
Du, Yuyang, Chen, Kexin, Zhan, Yue, Low, Chang Han, You, Tao, Islam, Mobarakol, Guo, Ziyu, Jin, Yueming, Chen, Guangyong, Heng, Pheng-Ann
Visual question answering (VQA) is crucial for promoting surgical education. In practice, the needs of trainees are constantly evolving, such as learning more surgical types, adapting to different robots, and learning new surgical instruments and tec
Externí odkaz:
http://arxiv.org/abs/2402.16664
Autor:
Chen, Kexin, Cao, Hanqun, Li, Junyou, Du, Yuyang, Guo, Menghao, Zeng, Xin, Li, Lanqing, Qiu, Jiezhong, Heng, Pheng Ann, Chen, Guangyong
Chemical synthesis, which is crucial for advancing material synthesis and drug discovery, impacts various sectors including environmental science and healthcare. The rise of technology in chemistry has generated extensive chemical data, challenging r
Externí odkaz:
http://arxiv.org/abs/2402.12993
Task-oriented communications are an important element in future intelligent IoT systems. Existing IoT systems, however, are limited in their capacity to handle complex tasks, particularly in their interactions with humans to accomplish these tasks. I
Externí odkaz:
http://arxiv.org/abs/2312.09007
Autor:
Chen, Kexin, Li, Junyou, Wang, Kunyi, Du, Yuyang, Yu, Jiahui, Lu, Jiamin, Li, Lanqing, Qiu, Jiezhong, Pan, Jianzhang, Huang, Yi, Fang, Qun, Heng, Pheng Ann, Chen, Guangyong
Recent AI research plots a promising future of automatic chemical reactions within the chemistry society. This study proposes Chemist-X, a transformative AI agent that automates the reaction condition recommendation (RCR) task in chemical synthesis w
Externí odkaz:
http://arxiv.org/abs/2311.10776
Signal clipping is a classic technique for reducing peak-to-average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) systems. It has been widely applied in consumer electronic devices owing to its low complexity and high effici
Externí odkaz:
http://arxiv.org/abs/2310.00593
Large language models (LLMs) have garnered significant attention across various research disciplines, including the wireless communication community. There have been several heated discussions on the intersection of LLMs and wireless technologies. Wh
Externí odkaz:
http://arxiv.org/abs/2307.07319
Autor:
Du, Yuyang, Liew, Soung Chang
This paper reexamines and fundamentally improves the Schmidl-and-Cox (S&C) algorithm, which is extensively used for packet detection in wireless networks, and enhances its adaptability for multi-antenna receivers. First, we introduce a new "compensat
Externí odkaz:
http://arxiv.org/abs/2307.05224
Publikováno v:
2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA). IEEE, 2022: 1-10
DBSCAN has been widely used in density-based clustering algorithms. However, with the increasing demand for Multi-density clustering, previous traditional DSBCAN can not have good clustering results on Multi-density datasets. In order to address this
Externí odkaz:
http://arxiv.org/abs/2210.08162