Hyemi Jang

15 papers A* 5Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
LookaheadKV: Fast and Accurate KV Cache Eviction by Glimpsing into the Future without Generation.
CoRR
Jinwoo Ahn, Ingyu Seong, Akhil Kedia, Junhan Kim, Hyemi Jang, Kangwook Lee, Yongkweon Jeon
2026 J jnl
On the Importance of a Multi-Scale Calibration for Quantization.
CoRR
Seungwoo Son, Ingyu Seong, Junhan Kim, Hyemi Jang, Yongkweon Jeon
2024 A* conf
DAFA: Distance-Aware Fair Adversarial Training.
ICLR
Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon
2024 J jnl
DAFA: Distance-Aware Fair Adversarial Training.
CoRR
Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon
2024 A* conf
Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization.
NeurIPS
Sanghyeob Song, Jaihyun Lew, Hyemi Jang, Sungroh Yoon
2024 J jnl
Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization.
CoRR
Sanghyeob Song, Jaihyun Lew, Hyemi Jang, Sungroh Yoon
2023 A* conf
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning.
ICLR
Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon
2023 J jnl
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning.
CoRR
Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon
2023 A* conf
PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising.
NeurIPS
Hyemi Jang, Junsung Park, Dahuin Jung, Jaihyun Lew, Ho Bae, Sungroh Yoon
2023 J jnl
PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising.
CoRR
Hyemi Jang, Junsung Park, Dahuin Jung, Jaihyun Lew, Ho Bae, Sungroh Yoon
2022 A* conf
Stein Latent Optimization for Generative Adversarial Networks.
ICLR
Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon
2021 J jnl
Stein Latent Optimization for GANs.
CoRR
Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon
2019 J jnl
PuVAE: A Variational Autoencoder to Purify Adversarial Examples.
IEEE Access
Uiwon Hwang, Jaewoo Park, Hyemi Jang, Sungroh Yoon, Nam Ik Cho
2019 J jnl
PuVAE: A Variational Autoencoder to Purify Adversarial Examples.
CoRR
Uiwon Hwang, Jaewoo Park, Hyemi Jang, Sungroh Yoon, Nam Ik Cho
2018 J jnl
Security and Privacy Issues in Deep Learning.
CoRR
Ho Bae, Jaehee Jang, Dahuin Jung, Hyemi Jang, Heonseok Ha, Sungroh Yoon