Seungho Baek, Taegun Park, Jongchan Park, Seungjun Oh, and Yusung Kim, "Graph-Assisted Stitching for Offline Hierarchical Reinforcement Learning", International Conference on Machine Learning (ICML), 18 Jul 2025. (Acceptance rate of 26.9%, BK=4)
Taegun Park, Seungho Baek, Jongchan Park, Seungjun Oh, and Yusung Kim, "Temporal Distance-aware Subgoal Generation for Offline Hierarchical Reinforcement Learning", Conference on Information and Knowledge Management (CIKM), 10 Nov 2025. (Acceptance rate of 27%, BK=3)
Jihoon Lee, Jongchan Park, Seungjun Oh, Dahea Kim, and Yusung Kim, "Self-Supervised Risk Factor Model using Dual Recurrent State Space Models," Knowledge-Based Systems, 2025. (IF=7.6)
Dongchan Seo, Dongil Kim, Hyoeun Son, Yusung Kim, "Implementation of Reinforcement Learning for Enhanced Pressure Control in a 190,000-Barrel Crude Distillation Unit: The First Full-Scale Commercial Deployment", Engineering Applications of Artificial Intelligence, 2025. (IF=7.5)
Heejoon Jeong, ... Seungho Baek, ... Yusung Kim, and Hyun Joo Ahn, "Prediction of intraoperative hypotension using deep learning models based on non-invasive monitoring devices", Journal of Clinical Monitoring and Computing, 2024.
JeongKee Lim and Yusung Kim, "Cross-Domain Semantic Segmentation on Inconsistent Taxonomy using Vision Language Models", European Conference on Computer Vision (ECCV), October 2024. (Acceptance rate of 27.9%, BK=2)
Jongchan Park, Seungjun Oh, and Yusung Kim, "Novelty-aware Graph Traversal and Expansion for Hierarchical Reinforcement Learning", Conference on Information and Knowledge Management (CIKM), October 2024. (Acceptance rate of 23%, BK=3)
Seunhawan Shin and Yusung Kim, "Self-supervised One-Stage Learning for RF-based Multi-Person Pose Estimation", Conference on Information and Knowledge Management (CIKM), October 2024. (Acceptance rate of 23%, BK=3)
Seunghyun Kim, Seunhawan Shin, Sangwon Lee, Kaewon Choi, and Yusung Kim, “Learning Visual Clue for UWB-based Multi-Person Pose Estimation”, Knowledge-Based Systems, January 2024. (IF=8.8)
Wonchul Shin and Yusung Kim, “Guide to Control: Offline Hierarchical Reinforcement Learning using Subgoal Generation for Long-Horizon and Sparse-Reward Tasks”, International Joint Conference on Artificial Intelligence (IJCAI), July 2023. (Acceptance rate of 15%, BK=4)
Jewon Jung, Sugi Lee, Jaemin Shin, and Yusung Kim, "Self-Attention-based Uplink Radio Resource Prediction in 5G Dual Connectivity", IEEE Internet of Things Journal, 2023. (IF = 10.238)
Keunhong Chae and Yusung Kim, "DS2MA: A Deep Learning-Based Spectrum Sensing Scheme for a Multi-Antenna Receiver", IEEE Wireless Communications Letters, 2023. (IF=5.281)
Jeongsoo Ha, Kyoungsoo Kim, and Yusung Kim, “Dream to Generalize: Zero-Shot Model-based Reinforcement Learning for Unseen Visual Distractions”, 37th AAAI Conference on Artificial Intelligence, February 2023. (Acceptance rate of 19%, BK=4)
Kyoungsoo Kim, Jeongsoo Ha, and Yusung Kim, “Self-Predictive Dynamics for Generalization of Vision-based Reinforcement Learning”, International Joint Conference on Artificial Intelligence (IJCAI), July 2022. (Acceptance rate of 15%, BK=4)
Keunhong Chae, Jungin Park, and Yusung Kim, "Rethinking Autocorrelation for Deep Spectrum Sensing in Cognitive Radio Networks", IEEE Internet of Things Journal, 2022. (IF = 10.238)
Singi Jeong, Jaemin Shin, and Yusung Kim, "A Signal-to-Data Translation Model for Robust Backscatter Communications", IEEE Access, September 2022.
S Lee, Yusing Kim, H Woo, and I Yeom, "Efficient User-Level Multi-Path Utilization in RDMA Networks", IEEE Access, September 2021.
Jaehun Jeong, Yusung Kim, Chang Wook Ahn, “A multi-objective evolutionary approach to automatic melody generation”, Expert Systems With Applications, Volume 90, December 2017, Pages 50–61, 2017.
Sugi Lee, Younghoon Kim, Ikjun Yeom, and Yusung Kim, “Active request management in stateful forwarding networks”, Journal of Network and Computer Applications, Volume 93, 1 September 2017, Pages 137–149, 2017.
Jonghoon Park, Cheoleun Moon, Ikjun Yeom, and Yusung Kim, “Cardinality Estimation using Collective Interference for Large-Scale RFID Systems”, Journal of Network and Computer Applications, Volume 83, 1 April 2017, Pages 101–110, 2017.
Yusung Kim, Younghoon Kim, Jun Bi, and Ikjun Yeom, “Differentiated Forwarding and Caching in Named Data Networking”, Journal of Network and Computer Applications, Vol. 60, January 2016.
Younghoon Kim, Ikjun Yeom, Jun Bi, and Yusung Kim “Scalable and efficient file sharing in information-centric networking”, Journal of Network and Computer Applications, Volume 57, Pages 21-32 November 2015.
Cheoleun Moon, Yusung Kim, Dohyung Kim, Hyunsoo Yoon, Ikjun Yeom, “Efficient Packet Routing in Highly Mobile Wireless Networks”, Springer Wireless Personal Communications, 2015
Hanjin Park, Yusung Kim, Euiyul Ko, and Ikjun Yeom, "Packet Forwarding Assurance in Delay Tolerant Networks", Wireless Personal communications, 2015.
Younghoon Kim, Yusung Kim, Hyunsoo Yoon, and Ikjun Yeom, "Peer-Assisted Multimedia Delivery Using Periodic Multicast", Information Sciences, 2015.
Dohyung Kim, Jong-hwan Kim, Yu--sung Kim, Hyun-soo Yoon, and Ikjun Yeom, “End-to-End Mobility Support in Content-Centric Networks”, Wiley International Journal of Communication Systems, 2015
Donghyeok An, Yusung Kim, Hyunsoo Yoon, and Ikjun Yeom, "Partition and Cooperation for Crowded Multi-rate WLANs", Springer Wireless Personal communications, Vol. 79, Issue 2, pp. 1511-1538, Nov. 2014
Yusung Kim and Ikjun Yeom, "Performance Analysis of In-Network Caching for Content-Centric Networking", Elsevier Computer Networks, 2013.