Han Cheol Moon — accepted AI-conference papers

2026

Contextualized Visual Personalization in Vision-Language Models

Yeongtak Oh, Sangwon Yu, Junsung Park, Han Cheol Moon, Jisoo (Jenny) Mok, Sungroh Yoon

ICML 2026poster

Despite recent progress in vision-language models (VLMs), existing approaches often fail to generate personalized responses based on the user's specific experiences, as they lack the ability to associate visual inputs with a user’s accumulated visual-textual context. We newly formalize this challeng…

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2023

Randomized Smoothing with Masked Inference for Adversarially Robust Text Classifications

Han Cheol Moon, Shafiq Joty, Ruochen Zhao, Megh Thakkar, Chi Xu

ACL 2023long

Large-scale pre-trained language models have shown outstanding performance in a variety of NLP tasks. However, they are also known to be significantly brittle against specifically crafted adversarial examples, leading to increasing interest in probing the adversarial robustness of NLP systems. We in…

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