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20132023
most citedAuction-based Charging Scheduling with Deep Learning Framework for Multi-Drone Networks

118 citations · 485 across the 87 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

eess.SY2019★ 2 cited

Joint Distributed Link Scheduling and Power Allocation for Content Delivery in Wireless Caching Networks

Minseok Choi, Andreas F. Molisch, Joongheon Kim

In wireless caching networks, the design of the content delivery method must consider random user requests, caching states, network topology, and interference management. In this p…

cs.CV2019

Deep ensemble network with explicit complementary model for accuracy-balanced classification

Dohyun Kim, Kyeorye Lee, Jiyeon Kim +2

The average accuracy is one of major evaluation metrics for classification systems, while the accuracy deviation is another important performance metric used to evaluate various de…

cs.RO2019★ 2 cited

Randomized Adversarial Imitation Learning for Autonomous Driving

MyungJae Shin, Joongheon Kim

With the evolution of various advanced driver assistance system (ADAS) platforms, the design of autonomous driving system is becoming more complex and safety-critical. The autonomo…

cs.NI2019★ 2 cited

A Personalized Preference Learning Framework for Caching in Mobile Networks

Adeel Malik, Joongheon Kim, Kwang Soon Kim +1

This paper comprehensively studies a content-centric mobile network based on a preference learning framework, where each mobile user is equipped with a finite-size cache. We consid…

cs.NI2019★ 4 cited

Markov Decision Policies for Dynamic Video Delivery in Wireless Caching Networks

Minseok Choi, Albert No, Mingyue Ji +1

This paper proposes a video delivery strategy for dynamic streaming services which maximizes time-average streaming quality under a playback delay constraint in wireless caching ne…

cs.IT2019★ 1 cited

Blind Signal Classification Analysis and Impact on User Scheduling and Power Allocation in Nonorthogonal Multiple Access

Minseok Choi, Joongheon Kim

For a massive number of devices, nonorthogonal multiple access (NOMA) has been recognized as a promising technology for improving the spectral efficiency compared to orthogonal mul…