[Top-Conference] [SCI-Journal]

1. [CoNEXT'25] 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" [Paper] 

2. [ToN'26] Heewon Kim, Seongyeon Yoon, Chanbin Bae, Sanghoon Lee, and Sangheon Pack, "TINIEE: Traffic-Aware Adaptive In-Network Intelligence via Early-Exit Strategy" [Paper]

3. [TNSM'26] Heewon Kim, Hochan Lee, and Sangheon Pack, "Traffic-Aware In-Network Aggregation Placement for Multi-Tenant Distributed Machine Learning" [Paper]

4. [ComMag'26] 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" [Paper]

5. [SECON'26] Sanghoon Lee*, Heewon Kim*, Chanbin Bae, and Sangheon Pack, "LUCID: Lightweight Unsupervised In-Network Drift Detection and Selective Update Framework" (*Equally contributed) [Paper]

1. [Top-C] Heewon Kim, Chanbin Bae, Junkyu Hong, and Sangheon Pack, “INTercept: Preventing Staleness in In-Band Network Telemetry,” Submitted.

2. [SCI-J] Heewon Kim, Hwimo Ku, Chanbin Bae, Junkyu Hong, Minsoo Park, and Sangheon Pack, “Auto-INT: Agentic AI-Driven Autonomous Network Monitoring using Strategy Refinement and Guidance,” Submitted.

3. [SCI-J] Hwimo Ku*,  Heewon Kim*, and Sangheon Pack, “COMPACT: Clustering for On-switch Multi-output trees via Pre-training Assessment of Compatible Tasks,” Submitted. (*Equally contributed)

* To see the rest of my publications, please check my CV.