Hierarchical Model Predictive Control for Optimization of Vehicle Speed and Battery Thermal Using Vehicle Connectivity. - XinYu Piao; Xiangfei Wang; Kyoungseok Han (IEEE Access, 2021)

Micro Batch Streaming: Allowing the Training of DNN models Using a large batch size on Small Memory Systems. - DoangJoo Synn; XinYu Piao; Jooyoung Park; Jong-Kook Kim (CoRR, 2021)

Dataloader Parameter Tuner: An Automated Dataloader Parameter Tuner for Deep Learning Models. - Jooyoung Park; DoangJoo Synn; XinYu Piao; Jong-Kook Kim (CoRR, 2022)

Enabling Large Batch Size Training for DNN Models Beyond the Memory Limit While Maintaining Performance. - XinYu Piao; DoangJoo Synn; Jooyoung Park; Jong-Kook Kim (IEEE Access, 2023)

GMM: An Efficient GPU Memory Management-based Model Serving System for Multiple DNN Inference Models. - XinYu Piao; Jong-Kook Kim (ICPP, 2024)

Enhancing Reinforcement Learning Finetuned Text-to-Image Generative Model Using Reward Ensemble. - Kyungryul Back; XinYu Piao; Jong-Kook Kim (ITS (2), 2024)

AQUA: Hardware-Agnostic Qubit Allocation for Quantum Multi-Programming. - XinYu Piao; JooYong Shim; Joongheon Kim; Jong-Kook Kim (IPDPS, 2025)

CroMe: Multimodal Fake News Detection using Cross-Modal Tri-Transformer and Metric Learning. - Eunjee Choi; Junhyun Ahn; XinYu Piao; Jong-Kook Kim (CoRR, 2025)