Heewon Kim, Chanbin Bae, Junkyu Hong, Haneul Ko, Sangheon Pack, and Dongjin Lee, "FAT-INT: Frequency-Aware and Item-Wise In-band Network Telemetry for Low-Overhead and Accurate Measurement," in Proc. ACM International Conference on emerging Networking EXperiments and Technologies (CoNEXT), Hongkong, December 2025. (Acceptance Ratio: 16%)

Heewon Kim, Chanbin Bae, Junkyu Hong, Hwimo Ku, Sangheon Pack, and Dongjin Lee, "Auto-INT: Intent-Aware and LLM-Empowered Automatic Sampling Optimization for In-band Network Telemetry," in Proc. ACM International Conference on emerging Networking EXperiments and Technologies (CoNEXT) 2025 Poster, Hongkong, December 2025. 

Heewon Kim, Seongyeon Yoon, Chanbin Bae, Sanghoon Lee, and Sangheon Pack, "TINIEE: Traffic-Aware Adaptive In-Network Intelligence via Early-Exit Strategy," in Proc. IEEE International Conference on Sensing, Communication, and Networking (SECON), Phoenix, AZ, USA, December 2024. (Acceptance Ratio: 25.5%)

Dongkyun Ryoo, Hongrok Choi, Daeyoung  Jung, Heewon Kim, and Sangheon Pack, "Latency and Energy-Aware Routing for Multi-Split Computing in Satellite Networks," in Proc. IEEE Global Communications Conference (GLOBECOM) Workshop on Space Computing Power Networks, Cape Town, South Africa, December 2024.

Sanghoon Lee, Daeyoung Jung, Heewon Kim, Chanbin Bae, and Sangheon Pack, "Rank-based Traffic Classification for QoS: In-Network Inference Approach," in Proc. International Conference on ICT Convergence (ICTC), Jeju, Korea, October 2024.

Chanbin Bae, Kyeongtak Lee, Heewon Kim, Seongyeon Yoon, Junkyu Hong, Sangheon Pack, and Dongjin Lee, "Quantized In-band Network Telemetry for Low Bandwidth Overhead Monitoring," in Proc. IEEE Conference on Network and Service Management (CNSM), Prague, Czech Republic, October 2024.

Seongyeon Yoon, Heewon Kim, Hyeonjae Jeong, Chanbin Bae, Haeun Kim, and Sangheon Pack "Multi-task Aware Resource Efficient Traffic Classification via In-Network Inference," in Proc. SIGCOMM Workshop on Networks for AI Computing (NAIC), Sydney, NSW, Australia, August 2024.

Heewon Kim, Chanbin Bae, Seongyeon Yoon, Haneul Ko, Sangheon Pack, and Dongjin Lee, "Frequency-Aware and Item-Wise In-band Network Telemetry for Per-flow Measurement," in Proc. IEEE International Conference on Computer Communications (INFOCOM) (Poster), Vancouver, Canada, May 2024.

Hongrok Choi, Hochan Lee, Dongkyun Ryoo, Heewon Kim, Haneul Ko, and Sangheon Pack,  "In-Orbit Aggregator-Empowered Federated Learning Framework for Satellite and Terrestrial-Integrated Networks," in Proc. International Conference on Information Networking (ICOIN), Ho Chi Minh, Vietnam, January 2024.

Heewon Kim, Seongyeon Yoon, and Sangheon Pack, "Adaptive In-Network Inference using Early-Exits," in Proc. International Workshop on P4 in Europe (EuroP4), Paris, France, December 2023.

Hochan Lee, Heewon Kim, Chanbin Bae, Yujin Kim, and Sangheon Pack, "Quantization-Aware In-Network Aggregation for Minimizing Communication Overhead" in Proc. ACM International Conference on emerging Networking EXperiments and Technologies (CoNEXT) (Poster), Paris, France, December 2023. 

Heewon Kim, Hochan Lee, and Sangheon Pack, "Traffic-Aware In-Network Aggregation Placement for Multi-Tenant Distributed Machine Learning ," in Proc. International Conference on Computer Communications and Networks (ICCCN), HI, USA, July 2023. (Acceptance Ratio: 30.4%)

Taeho Park, Hochan Lee,  Heewon Kim, Subin Han, Taeyun Kim, and Sangheon Pack, "Divide and Cache: A Novel Control Plane Framework for Private 5G Networks," in Proc. IEEE Consumer Communications and Networking Conference (CCNC), Las Vegas, USA, January 2023.

Heewon Kim, Hochan Lee, Haneul Ko, and Sangheon Pack, "Traffic- and Multi-Tenancy-Aware In-Network Aggregation Placement for Distributed Machine Learning," under review.

Heewon Kim, Seongyeon Yoon, Chanbin Bae, Sanghoon Lee, and Sangheon Pack, "TINIEE: Traffic-Aware Adaptive In-Network Intelligence via Early-Exit Strategy," under review.

Heewon Kim, Chanbin Bae, Seongyeon Yoon, Haeun Kim, Hwimo Ku, and Sangheon Pack, "MALOI: Multi-Task-Aware Low-Overhead In-Network Inference using Programmable Switch," IEEE Communications Magazine (ComMag), to appear.

Kihoon Kim, Eunsok Lee, Chanbin Bae, Heewon Kim, and  Sangheon Pack*, "Cooperative and Adaptive Load-Aware Handover Optimization in Heterogeneous Networks," IEEE Open Journal of the Communications Society (OJ-COMS), vol. 6, pp. 6194-6206,  July 2025.

Daeyoung Jung, Jaewook Lee, Hyeonjae Jeong, Dongju Cha, Heewon Kim, and Sangheon Pack*, "Split Computing for Mobile Devices: Energy and Latency Perspective," IEEE Transactions on Service Computing (TSC), vol. 18, no. 3, pp. 1798-1810, May-June 2025.

Taeho Park, Hochan Lee, Heewon Kim, Subin Han, Taeyun Kim, and Sangheon Pack, "Divide and Cache: Design and Implementation of Control Plane Framework for Private 5G", IEEE Transactions on Network and Service Management (TNSM), vol. 21, no. 2, pp. 1550-1560, April 2024.

Kyeongtak Lee,  Heewon Kim, Subin Han, Sangheon Pack, Hyunkyung Yoo, and Namseok Ko, "Utility-based Sampling Rate Allocation in In-band Network Telemetry for High Network Visibility," ICT Express, vol. 10, no. 1, pp. 77-82, February 2024.

Hochan Lee, Jaewook Lee, Heewon Kim, and Sangheon Pack, "Straggler-Aware In-Network Aggregation for Accelerating Distributed Deep Learning," IEEE Transactions on Service Computing (TSC), vol. 16, no. 6, pp. 4198-4204, November/December 2023.

Sol Han, Hochan Lee, Subin Han, Heewon Kim, and Sangheon Pack, "Multi-Tenancy- and Redundancy-Aware In-Network Aggregation using Programmable Switches," IEEE Network, vol. 37, no. 3, pp. 94-100, May/June 2023.