Mingyu Sung

11 papers Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
H2-Cache: A Novel Hierarchical Dual-Stage Cache for High-Performance Acceleration of Generative Diffusion Models.
IEEE Open J. Comput. Soc.
Mingyu Sung, Il-Min Kim, Sangseok Yun, Jae-Mo Kang
2025 J jnl
A Novel VLM-Guided Diffusion Model for Remote Sensing Image Super-Resolution.
IEEE Geosci. Remote. Sens. Lett.
Mingyu Sung, Mu-Gyeong Gong, Seung-Jae Ham, Il-Min Kim, Sangseok Yun, Jae-Mo Kang
2025 J jnl
DeCo-MeSC: Deep Compression-Based Memory-Constrained Split Computing Framework for Cooperative Inference of Neural Network.
IEEE Trans. Veh. Technol.
Mingyu Sung, Vikas Palakonda, Il-Min Kim, Sangseok Yun, Jae-Mo Kang
2025 J jnl
GLYPH-SR: Can We Achieve Both High-Quality Image Super-Resolution and High-Fidelity Text Recovery via VLM-guided Latent Diffusion Model?
CoRR
Mingyu Sung, Seung-Jae Ham, Kangwoo Kim, Yeokyoung Yoon, Sangseok Yun, Il-Min Kim, Jae-Mo Kang
2025 J jnl
Generative-Diffusion-Model-Based Deep-Learning Framework for Remaining Useful Life Prediction.
IEEE Internet Things J.
Sangjun Ha, Mingyu Sung, Faisal Saeed, Sangseok Yun, Il-Min Kim, Jae-Mo Kang
2025 J jnl
H2-Cache: A Novel Hierarchical Dual-Stage Cache for High-Performance Acceleration of Generative Diffusion Models.
CoRR
Mingyu Sung, Il-Min Kim, Sangseok Yun, Jae-Mo Kang
2025 J jnl
Memory- and Latency-Constrained Inference of Large Language Models via Adaptive Split Computing.
CoRR
Mingyu Sung, Vikas Palakonda, Suhwan Im, Sunghwan Moon, Il-Min Kim, Sangseok Yun, Jae-Mo Kang
2025 J jnl
No Pose Estimation? No Problem: Pose-Agnostic and Instance-Aware Test-Time Adaptation for Monocular Depth Estimation.
CoRR
Mingyu Sung, Hyeonmin Choe, Il-Min Kim, Sangseok Yun, Jae-Mo Kang
2025 J jnl
Range Asymmetric Numeral Systems-Based Lightweight Intermediate Feature Compression for Split Computing of Deep Neural Networks.
CoRR
Mingyu Sung, Suhwan Im, Vikas Palakonda, Jae-Mo Kang
2025 J jnl
Why Should the Server Do It All?: A Scalable, Versatile, and Model-Agnostic Framework for Server-Light DNN Inference over Massively Distributed Clients via Training-Free Intermediate Feature Compression.
CoRR
Mingyu Sung, Suhwan Im, Daeho Bang, Il-Min Kim, Sangseok Yun, Jae-Mo Kang
2021 — conf
Training and Inference using Approximate Floating-Point Arithmetic for Energy Efficient Spiking Neural Network Processors.
ICEIC
Myeongjin Kwak, Jungwon Lee, Hyoju Seo, Mingyu Sung, Yongtae Kim