Heesu Kim

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 18

Top Topics

Malware Detection

Feature Selections

Scale Invariant Features

Top Venues

Proc. VLDB Endow.

IEEE Commun. Lett.

Publications

Jisu Nam, Heesu Kim, DongJae Lee, Siyoon Jin, Seungryong Kim, Seunggyu Chang
DreamMatcher: Appearance Matching Self-Attention for Semantically-Consistent Text-to-Image Personalization. CoRR (2024)
Joonhyun Jeong, Geondo Park, Jayeon Yoo, Hyungsik Jung, Heesu Kim
ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection. AAAI (2024)
Joonhyun Jeong, Geondo Park, Jayeon Yoo, Hyungsik Jung, Heesu Kim
ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection. CoRR (2023)
Jihwan Bang, Heesu Kim, Young Joon Yoo, Jung-Woo Ha, Jonghyun Choi
Rainbow Memory: Continual Learning with a Memory of Diverse Samples. CoRR (2021)
Heesu Kim, Hanmin Park, Taehyun Kim, Kwanheum Cho, Eojin Lee, Soojung Ryu, Hyuk-Jae Lee, Kiyoung Choi, Jinho Lee
GradPIM: A Practical Processing-in-DRAM Architecture for Gradient Descent. CoRR (2021)
Jihwan Bang, Heesu Kim, Youngjoon Yoo, Jung-Woo Ha, Jonghyun Choi
Rainbow Memory: Continual Learning With a Memory of Diverse Samples. CVPR (2021)
Heesu Kim, Hanmin Park, Taehyun Kim, Kwanheum Cho, Eojin Lee, Soojung Ryu, Hyuk-Jae Lee, Kiyoung Choi, Jinho Lee
GradPIM: A Practical Processing-in-DRAM Architecture for Gradient Descent. HPCA (2021)
Jihwan Bang, Heesu Kim, Youngjoon Yoo, Jung-Woo Ha
Efficient Active Learning for Automatic Speech Recognition via Augmented Consistency Regularization. CoRR (2020)
Heesu Kim, Jongho Kim, Hussam Amrouch, Jörg Henkel, Andreas Gerstlauer, Kiyoung Choi, Hanmin Park
Aging Compensation With Dynamic Computation Approximation. IEEE Trans. Circuits Syst. I Fundam. Theory Appl. (4) (2020)
Jongho Kim, Heesu Kim, Hussam Amrouch, Jörg Henkel, Andreas Gerstlauer, Kiyoung Choi
Aging Gracefully with Approximation. ISCAS (2019)
Jaehyun Kim, Heesu Kim, Subin Huh, Jinho Lee, Kiyoung Choi
Deep neural networks with weighted spikes. Neurocomputing 311 (2018)
Taehoon Eom, Heesu Kim, SeongMo An, Jong Sou Park, Dong Seong Kim
Android Malware Detection Using Feature Selections and Random Forest. ICSSA (2018)
Heesu Kim, Euntae Choi, Kiyoung Choi
Speaker Verification based on Deep Neural Network for Text-Constrained Short Commands. APSIPA (2018)
Heesu Kim, Hyungsik Han, Hyuncheol Park
Waveform design for QAM-FBMC systems. SPAWC (2017)
Heesu Kim, Joonsang Yu, Kiyoung Choi
Hybrid spiking-stochastic Deep Neural Network. VLSI-DAT (2017)
Jinho Lee, Heesu Kim, Sungjoo Yoo, Kiyoung Choi, H. Peter Hofstee, Gi-Joon Nam, Mark Nutter, Damir A. Jamsek
ExtraV: Boosting Graph Processing Near Storage with a Coherent Accelerator. Proc. VLDB Endow. 10 (12) (2017)
Wonseok Choi, Jungsub Oh, Heesu Kim, Jaehyun Kim
Classifying Arm Movement with Embedded System and Machine Learning. Int. J. Fuzzy Log. Intell. Syst. 17 (2) (2017)
Hyungsik Han, Heesu Kim, Namshik Kim, Hyuncheol Park
An Enhanced QAM-FBMC Scheme With Interference Mitigation. IEEE Commun. Lett. 20 (11) (2016)