activity
20182022
most citedAir-Ground Collaborative Mobile Edge Computing: Architecture, Challenges, and Opportunities

8 citations · 8 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2022

ALT: Boosting Deep Learning Performance by Breaking the Wall between Graph and Operator Level Optimizations

Zhiying Xu, Jiafan Xu, Hongding Peng +8

Deep learning models rely on highly optimized tensor libraries for efficient inference on heterogeneous hardware. Current deep compilers typically predetermine layouts of tensors a…

cs.DB2021

Hash Adaptive Bloom Filter

Rongbiao Xie, Meng Li, Zheyu Miao +4

Bloom filter is a compact memory-efficient probabilistic data structure supporting membership testing, i.e., to check whether an element is in a given set. However, as Bloom filter…

cs.NI2021

Decentralized Federated Learning for UAV Networks: Architecture, Challenges, and Opportunities

Yuben Qu, Haipeng Dai, Yan Zhuang +4

Unmanned aerial vehicles (UAVs), or say drones, are envisioned to support extensive applications in next-generation wireless networks in both civil and military fields. Empowering…

cs.NI20218 cited

Air-Ground Collaborative Mobile Edge Computing: Architecture, Challenges, and Opportunities

Zhen Qin, Hai Wang, Yuben Qu +2

By pushing computation, cache, and network control to the edge, mobile edge computing (MEC) is expected to play a leading role in fifth generation (5G) and future sixth generation…

cs.NI2018

Deadline-Driven Multi-node Mobile Charging

Xunpeng Rao, Panlong Yang, Haipeng Dai +5

Due to the merit without requiring charging cable, wireless power transfer technologies have drawn rising attention as a new method to replenish energy to Wireless Rechargeable Sen…