activity
20122023
most citedFedParking: A Federated Learning based Parking Space Estimation with Parked Vehicle assisted Edge Computing

116 citations · 156 across the 9 of their papers we have counts for

collaborators

9 papers

cs.NI2023★ 12 cited

Energy-Latency Aware Intelligent Reflecting Surface Aided Multi-cell Mobile Edge Computing

Wenhan Xu, Jiadong Yu, Yuan Wu +1

The explosive development of the Internet of Things (IoT) has led to increased interest in mobile edge computing (MEC), which provides computational resources at network edges to a…

cs.GT2022

Online Combinatorial Auctions for Resource Allocation with Supply Costs and Capacity Limits

Xiaoqi Tan, Alberto Leon-Garcia, Yuan Wu +1

We study a general online combinatorial auction problem in algorithmic mechanism design. A provider allocates multiple types of capacity-limited resources to customers that arrive…

cs.LG2021★ 116 cited

FedParking: A Federated Learning based Parking Space Estimation with Parked Vehicle assisted Edge Computing

Xumin Huang, Peichun Li, Rong Yu +3

As a distributed learning approach, federated learning trains a shared learning model over distributed datasets while preserving the training data privacy. We extend the applicatio…

cs.LG2020★ 1 cited

Visualizing Deep Learning-based Radio Modulation Classifier

Liang Huang, You Zhang, Weijian Pan +3

Deep learning has recently been successfully applied in automatic modulation classification by extracting and classifying radio features in an end-to-end way. However, deep learnin…

cs.GT2020★ 7 cited

Mechanism Design for Online Resource Allocation: A Unified Approach

Xiaoqi Tan, Bo Sun, Alberto Leon-Garcia +2

This paper concerns the mechanism design for online resource allocation in a strategic setting. In this setting, a single supplier allocates capacity-limited resources to requests…

eess.SP2019★ 13 cited

Data Augmentation for Deep Learning-based Radio Modulation Classification

Liang Huang, Weijian Pan, You Zhang +3

Deep learning has recently been applied to automatically classify the modulation categories of received radio signals without manual experience. However, training deep learning mod…

cs.PF2017★ 2 cited

Asymptotic Performance Evaluation of Battery Swapping and Charging Station for Electric Vehicles

Xiaoqi Tan, Bo Sun, Yuan Wu +1

A battery swapping and charging station (BSCS) is an energy refueling station, where i) electric vehicles (EVs) with depleted batteries (DBs) can swap their DBs for fully-charged o…

cs.NI2015★ 5 cited

Joint Scheduling and Power Allocations for Traffic Offloading via Dual-Connectivity

Yuan Wu, Yanfei He, Liping Qian +3

With the rapid growth of mobile traffic demand, a promising approach to relieve cellular network congestion is to offload users' traffic to small-cell networks. In this paper, we i…

cs.NI2012

Energy-Efficient Delay-Constrained Transmission and Sensing for Cognitive Radio Systems

Yuan Wu, Vincent K. N. Lau, Danny H. K. Tsang +1

In this work we study energy-efficient transmission for Cognitive Radio (CR) which opportunistically operates on Primary User's (PU's) channel through spectrum sensing. Spectrum se…