Publications

Journal Papers

• Generality-aware Self-supervised Transformer for Multivariate Time Series Anomaly Detection
  Yucheol Cho, Jae-Hyeok Lee, Gyeongdo Ham, Donggon Jang, and Dae-shik Kim
  Applied Intelligence, 55.7, 604, Mar. 2025.
• Difficulty Level-based Knowledge Distillation
  Gyeongdo Ham*, Yucheol Cho*, Jae-Hyeok Lee, Minchan Kang, Gyuwon Choi, and Daeshik Kim (*Equal contribution)
  Neurocomputing, 606, 128375, Nov. 2024.
• SemiH: DFT Hamiltonian Neural Network Training with Semi-supervised Learning
  Yucheol Cho*, Guenseok Choi*, Gyeongdo Ham, Mincheol Shin† and Daeshik Kim† (*Equal contribution, †Equal correspondence)
  Machine Learning: Science and Technology, 5(3), 035060, Sep. 2024.
• Robustness-Reinforced Knowledge Distillation with Correlation Distance and Network Pruning
  Seonghak Kim*, Gyeongdo Ham*, Yucheol Cho*, and Daeshik Kim (*Equal contribution)
  IEEE Transactions on Knowledge and Data Engineering, Aug. 2024.
• Ambiguity-aware Robust Teacher (ART): Enhanced Self-knowledge Distillation Framework with Pruned Teacher Network
  Yucheol Cho*, Gyeongdo Ham*, Jae-Hyeok Lee, and Daeshik Kim (*Equal contribution)
  Pattern Recognition, Vol. 140C, 109541, Aug. 2023.
• P-PseudoLabel: Enhanced Pseudo-Labeling Framework with Network Pruning in Semi-Supervised Learning
  Gyeongdo Ham*, Yucheol Cho*, Jae-Hyeok Lee, and Daeshik Kim (*Equal contribution)
  IEEE Access, Vol. 10, 115652 - 115662, Oct. 2022.
• Principles-based Quantum Transport Simulations of Interfacial Point Defect Effects on InAs Nanowire Tunnel Field- Effect Transistors
  Hyeongu Lee, Yucheol Cho, Seonghyeok Jeon, and Mincheol Shin
  IEEE Transctions on Electron Devices, vol. 68, pp. 5901 - 5907, Nov. 2021.

Conference Papers

• MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation
  Donggon Jang*, Yucheol Cho*, Suin Lee, Taehyeon Kim, and Daehsik Kim (*Equal contribution)
  International Conference on Learning Representations (ICLR), Singapore, Apr 24-28, 2025.
• DFT Hamiltonian Neural Network Training with Semi-supervised Learning
  Yucheol Cho*, Guenseok Choi*, Gyeongdo Ham, Mincheol Shin† and Daehsik Kim† (*Equal contribution, †Equal correspondence)
  NeurIPS workshop on Machine Learning and the Physical Sciences (ML4PS), New Orleans, Dec 15-16, 2023.
• First-principles Study on As Antisites in InGaAs Alloys, GaAs and InAs
  Yucheol Cho, Gyeongdo Ham and Daehsik Kim
  International Workshop on Computational Nanotechnology (IWCN), Barcelona (Spain), June 12-16, 2023.
• Effect of Trap on Carrier Transport in InAs FET with Al2O3 Oxide
  Mincheol Shin, Yucheol Cho, and Seong Hyeok Jeon
  International Conference on Simulation of Semiconductor Processes and Devices (SISPAD), IEEE, Udine, Italy, 2019.