Jun-Hyung Park

A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings

Jun-Hyung Park, Krikamol Muandet · arXiv (Cornell University) · 2020 · 23 citations · Full text

Conditional Analogues, Measure Theory, Density Estimation +14

Quantized Sparse Training: A Unified Trainable Framework for Joint Pruning and Quantization in DNNs

Jun-Hyung Park, Kang-Min Kim, SangKeun Lee · ACM Transactions on Embedded Computing Systems · 2022 · 19 citations

Artificial Intelligence, Unified Trainable Framework, Deep Neural Networks +15

Dynamic Structure Pruning for Compressing CNNs

Jun-Hyung Park, Yeachan Kim, Junho Kim et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2023 · 16 citations · Full text

Convolutional Neural Network, Machine Vision, Machine Learning +12

Adaptive Convolution for Text Classification

Byung-Ju Choi, Jun-Hyung Park, SangKeun Lee · 2019 · 13 citations · Full text

Engineering, Jun-hyung Park, Language Processing +21

A Similarity based Technique for Detecting Malicious Executable files for Computer Forensics

Jun-Hyung Park, Min‐Soo Kim, Bong-Nam Noh et al. · 2006 · 12 citations

Hardware Security, Malware Present, Software Security +14