Hyemi Jang

According to our database, Hyemi Jang authored at least 11 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

OmniDrop: Layer-wise Token Pruning for Omni-modal LLMs via Query-Guidance.

Yeo Jeong Park, Hyemi Jang, Minseo Choi, Jongsun Lee, Jooyoung Choi, Yongkweon Jeon

CoRR, May, 2026

LookaheadKV: Fast and Accurate KV Cache Eviction by Glimpsing into the Future without Generation.

Jinwoo Ahn, Ingyu Seong, Akhil Kedia, Junhan Kim, Hyemi Jang, Kangwook Lee, Yongkweon Jeon

CoRR, March, 2026

On the Importance of a Multi-Scale Calibration for Quantization.

Seungwoo Son, Ingyu Seong, Junhan Kim, Hyemi Jang, Yongkweon Jeon

CoRR, February, 2026

2024

Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization.

Sanghyeob Song, Jaihyun Lew, Hyemi Jang, Sungroh Yoon

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

DAFA: Distance-Aware Fair Adversarial Training.

Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising.

Hyemi Jang, Junsung Park, Dahuin Jung, Jaihyun Lew, Ho Bae, Sungroh Yoon

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

New Insights for the Stability-Plasticity Dilemma in Online Continual Learning.

Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Stein Latent Optimization for Generative Adversarial Networks.

Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Stein Latent Optimization for GANs.

Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon

CoRR, 2021

2019

PuVAE: A Variational Autoencoder to Purify Adversarial Examples.

Uiwon Hwang, Jaewoo Park, Hyemi Jang, Sungroh Yoon, Nam Ik Cho

IEEE Access, 2019

2018

Security and Privacy Issues in Deep Learning.

Ho Bae, Jaehee Jang, Dahuin Jung, Hyemi Jang, Heonseok Ha, Sungroh Yoon

CoRR, 2018