An Enhanced QAM-FBMC Scheme With Interference Mitigation. - Hyungsik Han; Heesu Kim; Namshik Kim; Hyuncheol Park (IEEE Commun. Lett., 2016)

Waveform design for QAM-FBMC systems. - Heesu Kim; Hyungsik Han; Hyuncheol Park (SPAWC, 2017)

Hybrid spiking-stochastic Deep Neural Network. - Heesu Kim; Joonsang Yu; Kiyoung Choi (VLSI-DAT, 2017)

Classifying Arm Movement with Embedded System and Machine Learning. - Wonseok Choi 005; Jungsub Oh; Heesu Kim; Jaehyun Kim (Int. J. Fuzzy Log. Intell. Syst., 2017)

ExtraV: Boosting Graph Processing Near Storage with a Coherent Accelerator. - Jinho Lee; Heesu Kim; Sungjoo Yoo; Kiyoung Choi; H. Peter Hofstee; Gi-Joon Nam; Mark Nutter; Damir A. Jamsek (Proc. VLDB Endow., 2017)

Speaker Verification based on Deep Neural Network for Text-Constrained Short Commands. - Heesu Kim; Euntae Choi; Kiyoung Choi (APSIPA, 2018)

Android Malware Detection Using Feature Selections and Random Forest. - Taehoon Eom; Heesu Kim; SeongMo An; Jong Sou Park; Dong Seong Kim 001 (ICSSA, 2018)

Deep neural networks with weighted spikes. - Jaehyun Kim; Heesu Kim; Subin Huh; Jinho Lee; Kiyoung Choi (Neurocomputing, 2018)

Aging Gracefully with Approximation. - Jongho Kim; Heesu Kim; Hussam Amrouch; Jörg Henkel; Andreas Gerstlauer; Kiyoung Choi (ISCAS, 2019)

Efficient Active Learning for Automatic Speech Recognition via Augmented Consistency Regularization. - Jihwan Bang; Heesu Kim; Youngjoon Yoo; Jung-Woo Ha 001 (CoRR, 2020)

Aging Compensation With Dynamic Computation Approximation. - Heesu Kim; Jongho Kim; Hussam Amrouch; Jörg Henkel; Andreas Gerstlauer; Kiyoung Choi; Hanmin Park (IEEE Trans. Circuits Syst. I Fundam. Theory Appl., 2020)

Rainbow Memory: Continual Learning With a Memory of Diverse Samples. - Jihwan Bang; Heesu Kim; Youngjoon Yoo; Jung-Woo Ha 001; Jonghyun Choi (CVPR, 2021)

GradPIM: A Practical Processing-in-DRAM Architecture for Gradient Descent. - Heesu Kim; Hanmin Park; Taehyun Kim; Kwanheum Cho; Eojin Lee; Soojung Ryu; Hyuk-Jae Lee; Kiyoung Choi; Jinho Lee (HPCA, 2021)

ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection. - Joonhyun Jeong; Geondo Park; Jayeon Yoo; Hyungsik Jung; Heesu Kim (AAAI, 2024)

DreamMatcher: Appearance Matching Self-Attention for Semantically-Consistent Text-to-Image Personalization. - Jisu Nam; Heesu Kim; DongJae Lee; Siyoon Jin; Seungryong Kim; Seunggyu Chang (CVPR, 2024)