Suhwan Im

According to our database, Suhwan Im authored at least 4 papers between 2025 and 2026.

Collaborative distances:

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

2026

RTF-Skip-GANomaly: A Novel Deep Learning Framework for Anomaly Detection in Run-to-Failure Data Using Skip-GANomaly Backbone.

Hyeon-Uk Lee, Suhwan Im, Seung-Jae Ham, Il-Min Kim, Jae-Mo Kang

IEEE Signal Process. Lett., 2026

2025

Range Asymmetric Numeral Systems-Based Lightweight Intermediate Feature Compression for Split Computing of Deep Neural Networks.

Mingyu Sung, Suhwan Im, Vikas Palakonda, Jae-Mo Kang

CoRR, November, 2025

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.

Mingyu Sung, Suhwan Im, Daeho Bang, 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