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2020 – today
- 2024
[c3]Donghoon Kim, Gusang Lee, Kyuhong Shim, Byonghyo Shim:
Preserving Pre-trained Representation Space: On Effectiveness of Prefix-tuning for Large Multi-modal Models. EMNLP (Findings) 2024: 797-819- 2023
- [c2]Kyuhong Shim, Jiyoung Kim, Gusang Lee, Byonghyo Shim:
Depth-Relative Self Attention for Monocular Depth Estimation. IJCAI 2023: 1396-1404 - [i4]Kyuhong Shim
, Jiyoung Kim, Gusang Lee, Byonghyo Shim:
Depth-Relative Self Attention for Monocular Depth Estimation. CoRR abs/2304.12849 (2023) - 2022
- [i3]Yoo Jeong Ha, Gusang Lee, Minjae Yoo, Soyi Jung, Seehwan Yoo, Joongheon Kim:
Feasibility Study of Multi-Site Split Learning for Privacy-Preserving Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and Cholesterol Dataset. CoRR abs/2202.10456 (2022) - 2021
- [j1]Yoo Jeong Ha, Minjae Yoo, Gusang Lee, Soyi Jung, Sae Won Choi, Joongheon Kim, Seehwan Yoo:
Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies With COVID-19 CT, X-Ray, and Cholesterol Data. IEEE Access 9: 121046-121059 (2021) - [c1]Gusang Lee, Won Joon Yun, Soyi Jung, Joongheon Kim, Jae-Hyun Kim:
Visualization of Deep Reinforcement Autonomous Aerial Mobility Learning Simulations. INFOCOM Workshops 2021: 1-2 - [i2]Gusang Lee, Won Joon Yun, Soyi Jung, Joongheon Kim, Jae-Hyun Kim:
Visualization of Deep Reinforcement Autonomous Aerial Mobility Learning Simulations. CoRR abs/2102.08761 (2021) - [i1]Yoo Jeong Ha, Minjae Yoo, Gusang Lee, Soyi Jung, Sae Won Choi, Joongheon Kim, Seehwan Yoo:
Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies with COVID-19 CT, X-Ray, and Cholesterol Data. CoRR abs/2108.10147 (2021)
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