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Assistant Professor

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Education


Awards

KICS (한국통신학회) <추계종합학술대회> 2023 BEST PAPER AWARD (우수논문상)

Presented to Yunoh Kim, Tiange Xiang, Yeongjin Kim and Minseok Choi, for the following paper: "Hierarchical Reinforcement Learining-Based Delay-Sensitive Video Delivery System for Vehicular Networks."

KICS (한국통신학회) <추계종합학술대회> 2023 BEST Undergraduate Student PAPER AWARD (장려상)

Presented to Hyeonsu Kim, Jaehyeon Park, Dohoon Choi and Minseok Choi, for the following paper: "Research on DQN Algorithm for Delay-Sensitive Video Streaming."

KICS (한국통신학회) <동계종합학술대회> 2023 BEST Undergraduate Student PAPER AWARD (최우수논문상)

Presented to Yunoh Kim, Sunghun Oh, Hyeonsu Kim and Minseok Choi, for the following paper: "Research on DQN Algorithm for Delay-Sensitive Video Streaming."

IEEE COMMUNICATIONS SOCIETY Multimedia Communications Technical Committee 2021 BEST PAPER AWARD

Presented to Minseok Choi, Andreas F. Molisch and Joongheon Kim, for the following paper: "Joint Distributed Link Scheduling and Power Allocation for Content Delivery in Wireless Caching Networks."

KIISE SUMMER WORKSHOP ON COMPUTER COMMUNICATIONS (SWCC) 2022 BEST PAPER AWARD

Presented to Dongjae Kim and Minseok Choi, for the following paper: "Joint optimization of hierarchical wireless caching, transcoding, and delivery of video chunks."

IEEE THE 13TH INTERNATIONAL CONFERENCE ON ICT CONVERGENCE (ICTC) 2022 BEST PAPER AWARD

Presented to Dongjae Kim and Minseok Choi, for the following paper: "Distributed Antenna System-Assisted Energy Efficient SWIPT with Orthogonal Multiple Access."

Invited Talks

Federated Learning for Resource-Constrained Mobile Devices

Young Researcher 간담회 세션

자원 제한적인 모바일 기기에서의 연합 학습

사용자 프라이버시를 보존하는 비디오 캐싱을 위한 연합 학습 시스템

Basics and Applications of Lyapunov Optimization Theory

연합 학습의 기초와 무선 네트워크에서의 응용 연구

Federated Learning for Personalization and Generalization

Federated Learning for Personalization and Generalization

Federated Learning against Limited Coverage, Stragglers and Adversareis in Wireless Networks

Federated Learning against Limited Coverage, Stragglers and Adversareis in Wireless Networks

Introduction to Federated Learning

인공지능의 이해

Edge Caching and Computing for Video Services

Federated Learning against Limited Coverage, Stragglers and Adversareis in Wireless Networks

Federated Learning against Limited Coverage, Stragglers and Adversareis in Wireless Networks

Wireless Caching Network with Content Delivery, Edge Computing, and Artificial Intelligence

Federated Learning for Privacy Preserving Video Caching Network

Sageflow: Stragglers와 Adversaries 모두에 강인한 연합 학습

Artificial Intelligence-Assisted Wireless Caching and Content Delivery Networks

미래 네트워크에 활용 가능한 연합 학습: 통신 딜레이, 공격자, 제한된 무선 통신 범위

Artificial Intelligence-Assisted Wireless Caching and Content Delivery Networks

Artificial Intelligence-Assisted Wireless Caching and Content Delivery Networks

Deep Reinforcement Learning for Wireless Caching and Content Delivery

지능형 콘텐츠 전달 및 무선 캐싱 네트워크 표준 및 기술 동향

4차 산업혁명 시대의 인공지능과 분산 시스템 (Artificial Intelligence and Distributed System for The 4th Industrial Revolution)

Survey on DRL-based Caching and Computing at Wireless Edge

4차 산업혁명에서의 인공지능과 사물 인터넷

Deep Reinforcement Learning-Based Application Techniques for Mobile Edge Networks

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