Intelligent and Innovative Monitoring of Water Treatment Plant in Large Gas Refinery. - Amir Firoozshahi; Seyeon Kim (CCA, 2010)

Node-oriented dynamic memory management for real-time systems on ccNUMA architecture systems. - Seyeon Kim (2013)

Identification of Errors in Mathematical Symbolism and Notation: Implications for Software Design. - Seyeon Kim; Marco Pollanen; Michael G. Reynolds; Wesley S. Burr (ICMS, 2018)

Markov Transition Matrix Analysis of Mathematical Expression Input Models. - Francis Quinby; Seyeon Kim; Sohee Kang; Marco Pollanen; Michael G. Reynolds; Wesley S. Burr (ICMS, 2020)

Problem Solving as a Path to Comprehension. - Seyeon Kim; Marco Pollanen; Michael G. Reynolds; Wesley S. Burr (Math. Comput. Sci., 2020)

An Evaluation of Two-Dimensional Digital Input Models for Mathematical Structure: Effects on Working Memory, Cognitive Load, and Efficiency. - Francis Quinby; Seyeon Kim; Marco Pollanen; Wesley S. Burr; Michael G. Reynolds (HCI (6), 2021)

zTT: Learning-Based DVFS with Zero Thermal Throttling for Mobile Devices. - Seyeon Kim; Kyungmin Bin; Sangtae Ha; Kyunghan Lee; Song Chong (GetMobile Mob. Comput. Commun., 2021)

R-FEC: RL-based FEC Adjustment for Better QoE in WebRTC. - Insoo Lee; Seyeon Kim; 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; Kyungmin Bin; Donggyu Yang; Sangtae Ha; Song Chong; Kyunghan Lee (ACM Multimedia, 2023)

DiffMatch: Diffusion Model for Dense Matching. - Jisu Nam; Gyuseong Lee; Sunwoo Kim; Inès Hyeonsu Kim; Hyoungwon Cho; Seyeon Kim; Seungryong Kim (CoRR, 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; Sangtae Ha; Dirk Grunwald (DySPAN, 2024)

Hybrid Video Diffusion Models with 2D Triplane and 3D Wavelet Representation. - Kihong Kim; Haneol Lee; Jihye Park; Seyeon Kim; Kwanghee Lee; Seungryong Kim; Jaejun Yoo 001 (ECCV (52), 2024)

Diffusion Model for Dense Matching. - Jisu Nam; Gyuseong Lee; Sunwoo Kim; Hyeonsu Kim; Hyoungwon Cho; Seyeon Kim; Seungryong Kim (ICLR, 2024)

LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs. - Taeho Kim; Yanming Wang; Vatshank Chaturvedi; Lokesh Gupta; Seyeon Kim; 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; Kyunghan Lee (MobiSys, 2024)

Generalized Gaussian Temporal Difference Error For Uncertainty-aware Reinforcement Learning. - Seyeon Kim; Joonhun Lee; Namhoon Cho; Sungjun Han; Seungeon Baek (CoRR, 2024)

MoDiTalker: Motion-Disentangled Diffusion Model for High-Fidelity Talking Head Generation. - Seyeon Kim; Siyoon Jin; Jihye Park; Kihong Kim; Jiyoung Kim; Jisu Nam; Seungryong Kim (AAAI, 2025)

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