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)

mGEMM: low-latency convolution with minimal memory overhead optimized for mobile devices. - Jongseok Park 002; Kyungmin Bin; Kyunghan Lee (MobiSys, 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)

ASPEN: Breaking Operator Barriers for Efficient Parallelization of Deep Neural Networks. - Jongseok Park 002; Kyungmin Bin; Gibum Park; Sangtae Ha; Kyunghan Lee (NeurIPS, 2023)

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)

FireQ: Fast INT4-FP8 Kernel and RoPE-aware Quantization for LLM Inference Acceleration. - Daehyeon Baek; Jieun Choi; Jimyoung Son; Kyungmin Bin; Seungbeom Choi; Kihyo Moon; Minsung Jang; Hyojung Lee (CoRR, 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)

FineServe: Precision-Aware KV Slab and Two-Level Scheduling for Heterogeneous Precision LLM Serving. - Kyungmin Bin; Seungbeom Choi; Jimyoung Son; Jieun Choi; Daseul Bae; Daehyeon Baek; Kihyo Moon; Minsung Jang; Hyojung Lee (CoRR, 2025)

SBVR: Summation of BitVector Representation for Efficient LLM Quantization. - Wonjun Bang; Jongseok Park; Hongseung Yu; Kyungmin Bin; Kyunghan Lee (CoRR, 2025)