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Hankyu Moon
Observed name:
Moon, Hankyu
Institution:
Samsung SDS (South Korea)
Observed institutions:
HRL Laboratories (United States),
Samsung (South Korea),
VideoMining (United States),
Samsung SDS (South Korea),
University of Maryland, College Park
OpenAlex ID:
A5101060539
Estimating facial pose from a sparse representation
2005
·
Hankyu Moon
, M.L. Miller
·
Proceedings - International Conference on Image Processing
·
31
Network Catastrophe: Self-Organized Patterns Reveal both the Instability and the Structure of Complex Networks
2015
·
Hankyu Moon
, Tsai-Ching Lu
·
Scientific Reports
·
27
PDF
Active Learning Performance in Labeling Radiology Images Is 90% Effective
2021
·
Patrick Bangert
, Hankyu Moon
, et al.
·
Frontiers in Radiology
·
18
A Unified Streaming Architecture for Real Time Face Detection and Gender Classification
2007
·
Kevin Irick
, Michael DeBole
, et al.
·
International Conference on Field Programmable Logic and Applications (FPL)
·
15
PaVeRL-SQL: Text–to–SQL via Partial–Match Rewards and Verbal Reinforcement Learning
2025
·
Heng Hao
, Wenjun Hu
, et al.
·
IEEE International Conference on Big Data (BigData)
·
4
PDF
Unsupervised Contrastive Representation Learning for 3D Mesh Segmentation (Student Abstract)
2023
·
Ayaan Haque
, Hankyu Moon
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
4
PDF
Highly Efficient Representation and Active Learning Framework and Its Application to Imbalanced Medical Image Classification
2021
·
Hao, Heng
, Moon, Hankyu
, et al.
·
arXiv (Cornell University)
·
4
PDF
Highly Efficient Representation and Active Learning Framework for Imbalanced Data and its Application to COVID-19 X-Ray Classification
2021
·
Heng Hao
, Sima Didari
, et al.
·
arXiv (Cornell University)
·
4
Bayesian Active Learning for Semantic Segmentation
2024
·
Didari, Sima
, Hu, Wenjun
, et al.
·
arXiv (Cornell University)
·
3
PDF
Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation
2024
·
Lee, JoonHo
, Woo, Jae Oh
, et al.
·
arXiv (Cornell University)
·
3
PDF
Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples
2023
·
JoonHo Lee
, Jae Oh Woo
, et al.
·
IEEE/CVF International Conference on Computer Vision (ICCV)
·
3
PDF
PatchNet: Unsupervised Object Discovery based on Patch Embedding
2021
·
Moon, Hankyu
, Hao, Heng
, et al.
·
arXiv (Cornell University)
·
3
PDF
Query-Aware Flow Diffusion for Graph-Based RAG with Retrieval Guarantees
2026
·
Zhou, Zhuoping
, Tarzanagh, Davoud Ataee
, et al.
·
arXiv (Cornell University)
·
2
PDF
Self-Supervised Contrastive Representation Learning for 3D Mesh Segmentation
2022
·
Haque, Ayaan
, Moon, Hankyu
, et al.
·
arXiv (Cornell University)
·
2
PDF
Medical Image Labeling via Active Learning is 90% Effective
2022
·
Patrick Bangert
, Hankyu Moon
, et al.
·
Lecture notes in networks and systems
·
2
ReVeal: A Reconstruction-Aware Real-to-Sim Framework for VLA Policy Evaluation
2026
·
Wang, Xinyi
, Hao, Heng
, et al.
·
arXiv (Cornell University)
·
1
PDF
Monte Carlo simulation techniques for probabilistic tracking
2001
·
Baoxin Li
, R. Chellappa
, et al.
·
Asilomar Conference on Signals, Systems and Computers (ACSSC)
·
1
Continuous-Time Motion Planning and Steering with Global Convergence
2026
·
Amiri, Mohsen
, Didari, Sima
, et al.
·
arXiv (Cornell University)
PDF
Accelerating Framework for Simultaneous Optimization of Model Architectures and Training Hyperparameters
2019
·
Youngjoon Choi
, Jongwon Choi
, et al.
·
Proceedings - International Conference on Image Processing
Nonlinear semantic space based on lexical graph
2016
·
Hankyu Moon
, James Benvenuto
, et al.
·
Future Technologies Conference
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Works count:
21
Citation count:
127
H-index:
4
I10-index:
4
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