Enhanced Sequence Matching for Action Recognition from 3D Skeletal Data. - Hyun-Joo Jung; Ki-Sang Hong (ACCV (5), 2014)

Modeling temporal structure of complex actions using Bag-of-Sequencelets. - Hyun-Joo Jung; Ki-Sang Hong (Pattern Recognit. Lett., 2017)

Versatile Model for Activity Recognition: Sequencelet Corpus Model. - Hyun-Joo Jung; Ki-Sang Hong (FG, 2018)

Comparing Sample-Wise Learnability across Deep Neural Network Models. - Seung-Geon Lee; Jaedeok Kim; Hyun-Joo Jung; Yoonsuck Choe (AAAI, 2019)

How Compact?: Assessing Compactness of Representations through Layer-Wise Pruning. - Hyun-Joo Jung; Jaedeok Kim; Yoonsuck Choe (CoRR, 2019)

Differentiable Pruning Method for Neural Networks. - Jaedeok Kim; Chiyoun Park; Hyun-Joo Jung; Yoonsuck Choe (CoRR, 2019)

Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks. - Jaedeok Kim; Chiyoun Park; Hyun-Joo Jung; Yoonsuck Choe (AAAI, 2020)

Design and Implementation of Data-Based Validation and Evaluation System for Combat System Engineering. - Hee-Mun Park; Mi Jang; Yong-Jae Kim; Hyun-Joo Jung; Kyung-Min Seo (IEEE Access, 2023)