*: indicates co-first authors
†: indicates co-corresponding authors

International Conference

• Jinyoung Choi, Chunsan Hong, Do Young Eun, and Bohyung Han, Adversarial Diffusion Distillation via Characteristic Function Matching, In ACCV, 2026

• Yangryeol Park, Jeonhwi Kang, Kunhui Lee, Hyeonju Kim, Jinyoung Choi†, and Seung-Hoon Na†, Signals from the Future: Future-aware Semi-Autoregressive Decoding for Diffusion Language Models, In EMNLP, 2026

• Jinkyu Kim*, Jinyoung Choi*, and Bohyung Han, D2PO: Optimizing Diffusion Samplers via Dynamic Preference, In ECCV, 2026

• Jie Hu, Lingyun Chen, Geeho Kim, Jinyoung Choi, Bohyung Han, and Do Young Eun, Score-Repellent Monte Carlo: Toward Efficient Non-Markovian Sampler with Constant Memory in General State Spaces, In ICML, 2026 (Spotlight, Top 2.2%)

• Jinyoung Choi, Junoh Kang, and Bohyung Han, Enhanced Diffusion Sampling via Extrapolation with Multiple ODE Solutions, In ICLR, 2025

• Jihwan Kim*, Junoh Kang*, Jinyoung Choi, and Bohyung Han, FIFO-Diffusion: Generating Infinite Videos from Text without Training, In NeurIPS, 2024

• Junoh Kang*, Jinyoung Choi*, Sungik Choi, and Bohyung Han, Observation-Guided Diffusion Probabilistic Models, In CVPR, 2024

• Jinyoung Choi, and Bohyung Han, MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators, In NeurIPS, 2022

• Myungseo Song, Jinyoung Choi, and Bohyung Han, Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform, In ICCV, 2021

• Jinyoung Choi, and Bohyung Han, Task-Aware Quantization Network for JPEG Image Compression, In ECCV, 2020