Reinforcing AI and Network
RAIN Lab에서는 AI/RL와 네트워크에 대한 연구에 관심이 있는 학부생 인턴과 석/박사 대학원생을 모집하고 있습니다. 특히 아래 주제들에 대해 관심이 있으시면 주창희 교수님께 연락을 주시기 바랍니다. (이메일: changhee@korea.ac.kr , 연구실: 고려대학교 우정정보관 507B)
Research on embedding AI computation in the network
Research on AI-based automation (e.g., AutoML, Neural Architecture Search)
Research on reinforcement learning
Recent news:
[2024.04] Our proposal for 5-year project "Development of 6G APIs guaranteeing application performance through interaction with cellular systems" has been accepted. We are teamed with excellent researchers from SNU, UNIST, Hanyang Univ., SKKU!
[2024.04] Our paper has been accepted at CVPR-NAS Workshop 2024.
Taegun An and Changhee Joo*, "CycleGANAS: Differentiable Neural Architecture Search for CycleGAN," CVPR-NAS Workshop, June 2024.
[2024.02] Jihyeon received her Ph.D degree after her academic journey. Many congratulations! She will remain in our lab for a short time and then move forward for her career!
[2024.02] Kukjin received his MS degree, and joined LG Electronics. Many congratulations!
[2024.02] Jihyeon Yun won the Best Presentation Award from A3 Foresight Program 2024 Workshop
[2024.01] Prof. Joo will serve as a General Co-Chair of WiOpt 2024, which will be held in Korea Univ.
[2023.12] Prof. Joo has been invited as a TPC member of ACM MobiHoc 2024.
[2023.12] Our paper has been accepted for publication in Elsevier Neurocomputing (SCI(E), IF 5.779).
Haesung Jo and Changhee Joo*, "AutoGAN-DSP: Stabilizing GAN Architecture Search with Deterministic Score Predictors," Elsevier Neurocomputing, accepted for publication.
[2023.11] Our paper has been accepted for publication in IEEE/ACM Trans. on Networking (ToN) (SCI(E), IF 3.7), which is the top journal in the network research area.
Sunjung Kang, Atilla Eryilmaz, and Changhee Joo*, "Comparison of Decentralized and Centralized Update Paradigms for Distributed Remote Estimation," IEEE/ACM Transactions on Networking (ToN), accepted for publication.
[2023.11] Our paper has been accepted at NeurIPS 2023 Workshop Foundation Models for Decision Making (FMDM).
Kuk Jin Kim and Changhee Joo*, "Agnostic Architecture for Heterogeneous Multi-Environment Reinforcement Learning," NeurIPS 2023 Workshop FMDM (Foundation Models for Decision Making).
[2023.09] Our paper has been accepted for publication in IEEE/ACM Trans. on Networking (ToN) (SCI(E), IF 3.7), which is the top journal in the network research area (though its IF score is a bit low).
Jihyeon Yun, Atilla Eryilmaz, Jun Moon, and Changhee Joo*, "Remote Estimation for Dynamic IoT Sources under Sublinear Communication Costs," IEEE/ACM Transactions on Networking (ToN), accepted for publication.
[2023.06] Haesung received his MS degree, and joined KAI (한국항공우주산업). Many congratulations!