Chunsan Hong

According to our database, Chunsan Hong authored at least 8 papers between 2022 and 2026.

Collaborative distances:

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

2026

Looped Diffusion Language Models.

Sanghyun Lee, Chunsan Hong, Seungryong Kim, Jonghyun Lee, Jongho Park, Dongmin Park

CoRR, May, 2026

Understanding and Accelerating the Training of Masked Diffusion Language Models.

Chunsan Hong, Sanghyun Lee, Chieh-Hsin Lai, Satoshi Hayakawa, Yuhta Takida, Yuki Mitsufuji, Seungryong Kim, Jong Chul Ye

CoRR, May, 2026

Unifying Masked Diffusion Models with Various Generation Orders and Beyond.

Chunsan Hong, Sanghyun Lee, Jong Chul Ye

CoRR, February, 2026

2025

Improving Discrete Diffusion Unmasking Policies Beyond Explicit Reference Policies.

Chunsan Hong, Seonho An, Min-Soo Kim, Jong Chul Ye

CoRR, October, 2025

MemBench: Memorized Image Trigger Prompt Dataset for Diffusion Models.

Chunsan Hong, Tae-Hyun Oh, Minhyuk Sung

Trans. Mach. Learn. Res., 2025

2024

CAS: A Probability-Based Approach for Universal Condition Alignment Score.

Chunsan Hong, Byunghee Cha, Tae-Hyun Oh

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Enhancing Classification Accuracy on Limited Data via Unconditional GAN.

Chunsan Hong, Byunghee Cha, Bohyung Kim, Tae-Hyun Oh

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

What Do Untargeted Adversarial Examples Reveal in Medical Image Segmentation?

Gangin Park, Chunsan Hong, Bohyung Kim, Won Hwa Kim

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2022