zTT: learning-based DVFS with zero thermal throttling for mobile devices. - Seyeon Kim 001; Kyungmin Bin; Sangtae Ha; Kyunghan Lee; Song Chong (MobiSys, 2021)

R-FEC: RL-based FEC Adjustment for Better QoE in WebRTC. - Insoo Lee; Seyeon Kim 001; Sandesh Dhawaskar Sathyanarayana; Kyungmin Bin; Song Chong; Kyunghan Lee; Dirk Grunwald; Sangtae Ha (ACM Multimedia, 2022)

ENTRO: Tackling the Encoding and Networking Trade-off in Offloaded Video Analytics. - Seyeon Kim 001; Kyungmin Bin; Donggyu Yang; Sangtae Ha; Song Chong; Kyunghan Lee (ACM Multimedia, 2023)

Repurposing Cellular Reference Signals: Accurate RSRP Measurements with Mobile Phones. - Max Hollingsworth; Yaguang Zhang; Todd Schumann; Christopher R. Anderson; Michael G. Cotton; Seyeon Kim 001; Sangtae Ha; Dirk Grunwald (DySPAN, 2024)

LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs. - Taeho Kim; Yanming Wang; Vatshank Chaturvedi; Lokesh Gupta; Seyeon Kim 001; Yongin Kwon; Sangtae Ha (IJCAI, 2024)

CoActo: CoActive Neural Network Inference Offloading with Fine-grained and Concurrent Execution. - Kyungmin Bin; Jongseok Park 002; Chanjeong Park; Seyeon Kim 001; Kyunghan Lee (MobiSys, 2024)

DeltaStream: 2D-Inferred Delta Encoding for Live Volumetric Video Streaming. - Hojeong Lee; Yu Hong Kim; Sangwoo Ryu; James Won-Ki Hong; Sangtae Ha; Seyeon Kim 001 (MobiSys, 2025)

NeuroBalancer: Balancing System Frequencies With Punctual Laziness for Timely and Energy-Efficient DNN Inferences. - Kyungmin Bin; Seyeon Kim 001; Sangtae Ha; Song Chong; Kyunghan Lee (IEEE Trans. Mob. Comput., 2025)