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Sangheum Hwang

Associate Professor

Seoul National University

South Korea

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About

Dr. Sangheum Hwang is an Associate Professor at Seoul National University of Science & Technology in South Korea. His research areas encompass machine learning, computer vision, and deep learning, focusing on topics such as self-supervised representation learning, out-of-distribution detection, and improving medical image segmentation. He has contributed significantly to the field through recent publications exploring innovative methodologies in data analysis and representation.

Articles (13)

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2025

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2021

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2021

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2021

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2020

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2020

Collaborators (2)

Sungjoon Choi

Assistant Professor

Korea University

SOUTH KOREA

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Jaehoon Koo

Assistant Professor

Hanyang University - Ansan Campus

SOUTH KOREA

View details

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Sangheum Hwang

Research Interests

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Articles (13)

Metadata Enriched Multi-Instance Contrastive Learning for High-Quality Facial Skin Visual Representations

StochCA: A novel approach for exploiting pretrained models with cross-attention

Context-aware cross feature attentive network for click-through rate predictions

Generalized Outlier Exposure: Towards a trustworthy out-of-distribution detector without sacrificing accuracy

Self-Supervised Representation Learning for Basecalling Nanopore Sequencing Data

A unified benchmark for the unknown detection capability of deep neural networks

Elucidating robust learning with uncertainty-aware corruption pattern estimation

Patch-Level Consistency Regularization in Self-Supervised Transfer Learning for Fine-Grained Image Recognition

A Unified Defect Pattern Analysis of Wafer Maps Using Density-Based Clustering

Exploiting Global Structure Information to Improve Medical Image Segmentation

Supervised Contrastive Embedding for Medical Image Segmentation

A New Splitting Criterion for Better Interpretable Trees

Additive Ensemble Neural Networks

Collaborators (2)

Sungjoon Choi

Jaehoon Koo

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