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20112023
most citedCrowd Counting and Density Estimation by Trellis Encoder-Decoder Network

78 citations · 378 across the 37 of their papers we have counts for

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Showing cs.NIShow all

11 papers · 1 filter

cs.NI2022

Semantic Communication Meets Edge Intelligence

Wanting Yang, Zi Qin Liew, Wei Yang Bryan Lim +5

The development of emerging applications, such as autonomous transportation systems, are expected to result in an explosive growth in mobile data traffic. As the available spectrum…

cs.NI2022★ 10 cited

Realizing the Metaverse with Edge Intelligence: A Match Made in Heaven

Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato +4

Dubbed "the successor to the mobile Internet", the concept of the Metaverse has recently exploded in popularity. While there exists lite versions of the Metaverse today, we are sti…

cs.NI2021★ 1 cited

Networking of Internet of UAVs: Challenges and Intelligent Approaches

Peng Yang, Xianbin Cao, Tony Q. S. Quek +1

Internet of unmanned aerial vehicle (I-UAV) networks promise to accomplish sensing and transmission tasks quickly, robustly, and cost-efficiently via effective cooperation among UA…

cs.NI2021★ 2 cited

Feeling of Presence Maximization: mmWave-Enabled Virtual Reality Meets Deep Reinforcement Learning

Peng Yang, Tony Q. S. Quek, Jingxuan Chen +2

This paper investigates the problem of providing ultra-reliable and energy-efficient virtual reality (VR) experiences for wireless mobile users. To ensure reliable ultra-high-defin…

cs.NI2021★ 2 cited

CoMP-Enabled RAN Slicing for Tactile Internet

Peng Yang, Xing Xi, Tony Q. S. Quek +1

Tactile Internet (TI) enables the omnipresence and exchange of tactile experiences across the global via the ultra-reliable and ultra-responsive connectivity. This article argues f…

cs.NI2021★ 21 cited

Fresh, Fair and Energy-Efficient Content Provision in a Private and Cache-Enabled UAV Network

Peng Yang, Kun Guo, Xing Xi +3

In this paper, we investigate a private and cache-enabled unmanned aerial vehicle (UAV) network for content provision. Aiming at delivering fresh, fair, and energy-efficient conten…