Quantization-Aware In-Network Aggregation for Minimizing Communication Overhead. - Hochan Lee; Heewon Kim; Chanbin Bae; Yujin Kim; Sangheon Pack (CoNEXT (Short Papers), 2023)

Quantized In-band Network Telemetry for Low Bandwidth Overhead Monitoring. - Chanbin Bae; Kyeongtak Lee; Heewon Kim; Seongyeon Yoon; Junkyu Hong; Sangheon Pack; Dongjin Lee (CNSM, 2024)

Accelerating Federated Learning at Programmable User Plane Function via In-Network Aggregation. - Chanbin Bae; Hochan Lee; Sangheon Pack; Youngmin Ji (ICOIN, 2024)

Accelerating Convolutional Neural Network Inference in Split Computing: An In-Network Computing Approach. - Hochan Lee; Haneul Ko; Chanbin Bae; Sangheon Pack (ICOIN, 2024)

Rank-Based Traffic Classification for QoS: In-Network Inference Approach. - Sanghoon Lee; Daeyoung Jung; Heewon Kim; Chanbin Bae; Sangheon Pack (ICTC, 2024)

Frequency-Aware and Item-Wise In-band Network Telemetry for Per-flow Measurement. - Heewon Kim; Chanbin Bae; Seongyeon Yoon; Haneul Ko; Sangheon Pack; Dongjin Lee (INFOCOM (Workshops), 2024)

Multi-task Aware Resource Efficient Traffic Classification via in-Network Inference. - Seongyeon Yoon; Heewon Kim; Hyeonjae Jeong; Chanbin Bae; Haeun Kim; Sangheon Pack (NAIC, 2024)

TINIEE: Traffic-Aware Adaptive In-Network Intelligence via Early-Exit Strategy. - Heewon Kim; Seongyeon Yoon; Chanbin Bae; Sanghoon Lee; Sangheon Pack (SECON, 2024)

Load-Aware Handover Optimization in Heterogeneous Networks: A Multi-Objective Learning Approach. - Kihoon Kim; Eunsok Lee; Chanbin Bae; Sangheon Pack (VTC Fall, 2024)

Cooperative and Adaptive Load-Aware Handover Optimization in Heterogeneous Networks. - Kihoon Kim; Eunsok Lee; Chanbin Bae; Heewon Kim; Sangheon Pack (IEEE Open J. Commun. Soc., 2025)