Wireless Intelligent Networks Lab.
@ Electronics Engineering, Kyung Hee University
Our research interest are:
Wireless Caching Network
Federated Learning
Reinforcement Learning-assisted edge network
Stochastic Network Optimization
Distributed System
Edge Computing System
PI: Minseok Choi
Assistant Professor
Kyung Hee University, Electronics Engineering
Email: choims _at_ khu.ac.kr, minseok.choi307 _at_ gmail.com
We are looking for passionate and motivated undergraduate, M.S., Ph.D students and PostDocs!
(Job posting link)
News
[Apr. 2024] Prof. Choi gave a talk at <ERC 우수신진연구자 세션>, JCCI 2024: "Federated Learning for Resource-Constrained Mobile Devices"
[Apr. 2024] Our paper entitled "Edge Caching and Computing of Partial Files in Multi-Tier Wireless Networks" is accepted for publication in Journal of Network and Computer Applications (JNCA).
[Mar. 2024] Our paper entitled "Age-of-Information Aware Contents Caching and Distribution for Connected Vehicles" is accepted for publication in IEEE Transactions on Vehicular Technology (TVT).
[Mar. 2024] Dr. Rizwan Atif joined our lab as a postdoctoral researcher. Welcome!
[Jan. 2024] Dr. Dongjae Kim, an external researcher of WIN Lab., has appointed as an assistant professor at Pukyong National University. Congratulations!
[Dec. 2023] Yunoh Kim and Tiange Xiang received the Best Paper Award of KICS <2023 추계종합학술발표회>. Congratulations!
Presented to Yunoh Kim, Tiange Xiang, Yeongjin Kim and Minseok Choi:
Title: 계층 강화학습 기반의 차량 네트워크에서의 딜레이-민감 비디오 전달 시스템
[Dec. 2023] The book containing the chapter written by Prof. Minseok Choi has been published: "Fundamentals of 6G Communications and Networking" - "Chapter: Network Disaggregation," Springer.
[Dec. 2023] Our paper entitled "Intelligent Caching for Seamless High-Quality Streaming in Vehicular Networks: A Multi-Agent Reinforcement Learning Approach" is accepted for publication in IEEE Transactions on Intelligent Vehicles (TIV).
[Nov. 2023] Hyeonsu Kim received the Outstanding Undergraduate Student Paper Award of KICS <2023 추계종합학술발표회>. Congratulations!
Presented to Hyeonsu Kim, Jaehyun Park, Dohoon Choi, Sejin Hwang and Minseok Choi:
Title: 합성곱 신경망 기반 비평면에서의 빔 프로젝터 왜곡 보정 기술
[Nov. 2023] Prof. Choi gave a talk at Global ICT Collaboration Conference (hosted by IITP), 2023 ICT R&D Week: "Federated Learning for Privacy-Preserving Video Caching Networks."
[Oct. 2023] Our paper entitled "Federated Split Learning with Joint Personalization-Generalization for Inference-Stage Optimization in Wireless Edge Networks" is accepted for publication in IEEE Transactions on Mobile Computing (TMC).
[Sep. 2023] Prof. Choi participated in Seoul Smart City Forum 2023 as an advisory committee and a moderator: https://forum.seoul.go.kr/ssc2023
[Sep. 2023] Our paper entitled "Delay-Sensitive and Power-Efficient Quality Control of Dynamic Video Streaming Using Adaptive Super-Resolution" is accepted for publication in IEEE Transactions on Green Communications and Networking.
[Sep. 2023] Yunoh Kim joined our lab as an MS student. Welcome!
[Aug. 2023] Prof. Choi's interview with EIRIC is uploaded at: https://www.eiric.or.kr/manpower/rising_view.php?Seq=57
[Aug. 2023] Gave a talk at <제 16회 통신네트워크 기초 및 핵심기술 단기강좌>, The Korean Institute of Communications and Information Sciences (KICS, 한국통신학회)
[Jun. 2023] Gave a talk at <신진연구자 세션>, 2023 하계종합학술대회, The Institute of Electronics and Information Engineers (IEIE, 대한전자공학회): "Federated Learning for Personalization and Generalization."
[Jun. 2023] Gave a talk at The 31st Korea Internet Conference (KRnet 2023), National Information Society Agency (NIA, 한국지능정보사회진흥원): "Federated Learning against Limited Coverage, Stragglers and Adversaries in Wireless Networks."
[Jun. 2023] Yunoh Kim, Sunghun Oh, Hyeonsu Kim won the Best Undergraduate Student Paper Award of KICS <2023 동계종합학술대회> Congratulations!
Presented to Yunoh Kim, Sunghun Oh, Hyeonsu Kim, and Minseok Choi:
"Research on DQN Algorithm for Delay-Sensitive Video Streaming."
[Jun. 2023] Gave a talk at <정보통신소사이어티 워크샵>, Korea Computer Congress (KCC) 2022, The Korean Institute of Information Science and Engineers (KIISE, 한국정보과학회): "Achieving Both Personalization and Generalization in Federated Learning."
[May 2023] Gave a talk at <Communication Society Workshop>, The Institute of Electronics and Information Engineers (IEIE, 대한전자공학회): "Federated Learning against Limited Coverage, Stragglers and Adversaries in Wireless Networks.."
[May 2023] Our paper entitled "SWIPT-enabled NOMA in Distributed Antenna System with Imperfect Channel State Information for Max-Sum-Rate and Max-Min Fairness," is accepted for publication in IEEE Systems Journal.