Mingyu Sung

According to our database, Mingyu Sung authored at least 8 papers between 2021 and 2025.

Collaborative distances:

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

2025

No Pose Estimation? No Problem: Pose-Agnostic and Instance-Aware Test-Time Adaptation for Monocular Depth Estimation.

Mingyu Sung, Hyeonmin Choe, Il-Min Kim, Sangseok Yun, Jae-Mo Kang

CoRR, November, 2025

Memory- and Latency-Constrained Inference of Large Language Models via Adaptive Split Computing.

Mingyu Sung, Vikas Palakonda, Suhwan Im, Sunghwan Moon, Il-Min Kim, Sangseok Yun, Jae-Mo Kang

CoRR, November, 2025

H2-Cache: A Novel Hierarchical Dual-Stage Cache for High-Performance Acceleration of Generative Diffusion Models.

Mingyu Sung, Il-Min Kim, Sangseok Yun, Jae-Mo Kang

CoRR, October, 2025

GLYPH-SR: Can We Achieve Both High-Quality Image Super-Resolution and High-Fidelity Text Recovery via VLM-guided Latent Diffusion Model?

Mingyu Sung, Seung-Jae Ham, Kangwoo Kim, Yeokyoung Yoon, Sangseok Yun, Il-Min Kim, Jae-Mo Kang

CoRR, October, 2025

DeCo-MeSC: Deep Compression-Based Memory-Constrained Split Computing Framework for Cooperative Inference of Neural Network.

Mingyu Sung, Vikas Palakonda, Il-Min Kim, Sangseok Yun, Jae-Mo Kang

IEEE Trans. Veh. Technol., August, 2025

Generative-Diffusion-Model-Based Deep-Learning Framework for Remaining Useful Life Prediction.

Sangjun Ha, Mingyu Sung, Faisal Saeed, Sangseok Yun, Il-Min Kim, Jae-Mo Kang

IEEE Internet Things J., June, 2025

A Novel VLM-Guided Diffusion Model for Remote Sensing Image Super-Resolution.

Mingyu Sung, Mu-Gyeong Gong, Seung-Jae Ham, Il-Min Kim, Sangseok Yun, Jae-Mo Kang

IEEE Geosci. Remote. Sens. Lett., 2025

2021

Training and Inference using Approximate Floating-Point Arithmetic for Energy Efficient Spiking Neural Network Processors.

Myeongjin Kwak, Jungwon Lee, Hyoju Seo, Mingyu Sung, Yongtae Kim

Proceedings of the International Conference on Electronics, Information, and Communication, 2021