About
I am a Ph.D. candidate in Electrical and Computer Engineering at Purdue University, with a strong commitment to advancing machine learning through both rigorous research and practical application. My primary research centers on Trustworthy AI , where I focus on enhancing the reliability, factuality, and fairness of multimodal foundation models. I specialize in developing lightweight and efficient post-hoc methods that align model behavior, which avoids the need for costly full-scale retraining.
In addition to my foundational research, I am passionate about applying machine learning to solve tangible problems across various industries and engineering problems. My applied work involves using generative AI for complex engineering design, developing systems for industrial machine perception, creating intelligent agents for consumer electronics, and leveraging machine learning in remote sensing applications. These projects reflect my broader goal of connecting methodological advancements with practical impact across diverse engineering domains.
Selected Publications
View All →Adaptive Logit Adjustment for Debiasing Multimodal Language Models
Hoin Jung, Junyi Chai, Xiaoqian Wang
ICLR 2026
A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks
Hoin Jung, Taeuk Jang, Xiaoqian Wang
NeurIPS 2024Spotlight (top 2.5%)
News
I began my summer internship (Advancing Machine Learning for Scientific Discovery Fellowship) at Los Alamos National Laboratory.
My paper DQA was accepted to CVPR 2026 Findings!
My paper ALA was accepted to ICLR 2026!
I am honored to receive the 2026-2027 Bilsland Dissertation Fellowship from Purdue University to support my final dissertation research.
My paper TVAgent was accepted to the AAAI 2026 Workshop on Deployable AI (DAI).
I successfully passed my PhD Preliminary Exam!
I am honored to be selected as an Outstanding Reviewer (top 5%) in CVPR 2025.
Our paper ZSDebias was accepted to ICCV 2025.
I began my summer internship as a Research Scientist at Samsung Research America.
My paper ALFA was accepted to ICLR 2025!
My work NCD-DLT was accepted to WACV 2025!
I received the NeurIPS 2024 Scholar Award.
My paper FOPU was accepted to the EMNLP 2024 Industry Track!
My BE-Module paper surpassed 100 citations.
My paper SFID was accepted as a Spotlight (top 2.5%) at NeurIPS 2024!
My paper on explainable antenna design was accepted to IEEE APS 2024.
I began my Ph.D. program at Purdue University.
I completed my Master’s degree at Seoul National University.
My paper BE-Module for satellite image segmentation was accepted to IEEE TGRS.
I started my Master’s program at Seoul National University.
I concluded my three-year role as an Engineer at Samsung Electronics.