We are conducting high-quality research on reinforcement learning, with diverse problem domains of game playing, networking, stock trading, etc.
[2021.08] Two papers have been accepted for publication at Journal of Communications and Networks (SCIE, IF 3.240)
Daehyun Park, Sunjung Kang, and Changhee Joo*, "A Learning-based Distributed Algorithm for Scheduling in Multi-hop Wireless Networks," Journal of Communications and Networks, accepted for publication.
Sunjung Kang and Changhee Joo*, "Index-based Update Policy for Minimizing Information Mismatch with Markovian Sources," Journal of Communications and Networks, accepted for publication.
[2021.06] Our paper has been accepted for publication at IEEE Transactions on Network and Service Management (SCIE, IF 4.682, category top 8.39%)
Sravan Patchala, Seunghyun Lee, Changhee Joo*, and D. Manjunath*, "On the Economics of Network Interconnections and its Impact on Net Neutrality," IEEE Transactions on Network and Service Management (TNSM), accepted for publication.
[2021.01] Three papers (two for main conference and one for AoI workshop) have been accepted for presentation at the prestige conference IEEE INFOCOM
Jihyeon Yun, Atilla Eryilmaz, and Changhee Joo*, "Remote Tracking of Dynamic Sources under Sublinear Communication Costs," IEEE INFOCOM Age of Information Workshop, May 2021.
Sunjung Kang, Atilla Eryilmaz, and Changhee Joo, "Comparison of Decentralized and Centralized Update Paradigms for Remote Tracking of Distributed Dynamic Sources," IEEE INFOCOM, May 2021.
Wonbin Park, Dokyun Ryoo, Changhee Joo, and Saewoong Bahk, "BLESS: BLE-aided Swift Wi-Fi Scanning in Multi-protocol IoT Networks," IEEE INFOCOM, May 2021.