Zobrazeno 1 - 10
of 320
pro vyhledávání: '"LEUNG, CYRIL"'
Autor:
Dai, Xinlu, Leung, Cyril
Age of Information (AoI), namely the time that has elapsed since the most recently delivered packet was generated, is receiving increasing attention with the emergence of many real-time applications that rely on the exchange of time-sensitive informa
Externí odkaz:
http://arxiv.org/abs/2405.03798
With rapid advancements in depth sensors and deep learning, skeleton-based person re-identification (re-ID) models have recently achieved remarkable progress with many advantages. Most existing solutions learn single-level skeleton features from body
Externí odkaz:
http://arxiv.org/abs/2307.12917
Large Language Models (LLMs) especially ChatGPT have produced impressive results in various areas, but their potential human-like psychology is still largely unexplored. Existing works study the virtual personalities of LLMs but rarely explore the po
Externí odkaz:
http://arxiv.org/abs/2303.01248
Providing accurate estimated time of package delivery on users' purchasing pages for e-commerce platforms is of great importance to their purchasing decisions and post-purchase experiences. Although this problem shares some common issues with the con
Externí odkaz:
http://arxiv.org/abs/2211.02863
Autor:
Li, Haochen, Miao, Chunyan, Leung, Cyril, Huang, Yanxian, Huang, Yuan, Zhang, Hongyu, Wang, Yanlin
Code search, which aims at retrieving the most relevant code fragment for a given natural language query, is a common activity in software development practice. Recently, contrastive learning is widely used in code search research, where many data au
Externí odkaz:
http://arxiv.org/abs/2210.12285
In the evolution of agriculture to its next stage, Agriculture 5.0, artificial intelligence will play a central role. Controlled-environment agriculture, or CEA, is a special form of urban and suburban agricultural practice that offers numerous econo
Externí odkaz:
http://arxiv.org/abs/2210.11318
Autor:
Han, Yue, Niyato, Dusit, Leung, Cyril, Kim, Dong In, Zhu, Kun, Feng, Shaohan, Shen, Sherman Xuemin, Miao, Chunyan
Metaverse has recently attracted much attention from both academia and industry. Virtual services, ranging from virtual driver training to online route optimization for smart goods delivery, are emerging in the Metaverse. To make the human experience
Externí odkaz:
http://arxiv.org/abs/2203.03969
Recent advances in Federated Learning (FL) have brought large-scale collaborative machine learning opportunities for massively distributed clients with performance and data privacy guarantees. However, most current works focus on the interest of the
Externí odkaz:
http://arxiv.org/abs/2111.01872
Spurred by the severe restrictions on mobility due to the COVID-19 pandemic, there is currently intense interest in developing the Metaverse, to offer virtual services/business online. A key enabler of such virtual service is the digital twin, i.e.,
Externí odkaz:
http://arxiv.org/abs/2111.00431
Recently, coded distributed computing (CDC), with advantages in intensive computation and reduced latency, has attracted a lot of research interest for edge computing, in particular, IoT applications, including IoT data pre-processing and data analyt
Externí odkaz:
http://arxiv.org/abs/2109.13586