๐ Affiliation: Pattern Recognition and Machine Learning Lab in Korea University (2020~)
I'm researching efficient and effective in-context augmentation for multimodal large language models (MLLMs).
Research direction: face generation (vision)
$\rightarrow$ dialogue generation (NLP)$\rightarrow$ neural network debugging (XAI)$\rightarrow$ ๐ language modeling for multimodalities (NLP)
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"Neuron-based Debugging Framework for Neural Networks Using Class-conditional Visualizations", arXiv, 2023. | code
History -> NeurIPS 2023: rejected - 3 borderline accept and 1 reject
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"๋ด๋ฐ ๊ธฐ๋ฐ ๋๋ฒ๊น ์ ์ํ ํ์ค์ ์ธ ์ด๋ฏธ์ง ๊ณต๊ฐ์์์ ํด๋์ค ์กฐ๊ฑด๋ถ ํน์ง ์๊ฐํ(Class-conditional Feature Visualizations in Realistic Image Space for Neuron-based Debugging)", KCC XAI Workshop, 2024 (oral).
Oral speaker: Yeong-Joon Ju
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"Complete Face Recovery GAN: Unsupervised Joint Face Rotation and De-Occlusion from a Single-View Image", WACV, 2022. | code
Authors: Y-J. Ju, G-H. Lee, J-H. Hong, and S-W. Lee
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"CPR: Mitigating Large Language Model Hallucinations with Curative Prompt Refinement", SMC, 2024.
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"CIRF: Importance of Related Features for Plausible Counterfactual Explanations", Information Sciences, 2024.
Authors: H-D. Kim, Y-J. Ju, J-H. Hong, and S-W. Lee
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"Explaining Generative Diffusion Models via Visual Analysis for Interpretable Decision-Making Process", Expert Systems with Applications, 2024. | code
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"Enhancing Robustness of Over-Parameterized Models via Feature Reweighting Using Logit-Wise Mixup", ICPRAI, 2024 (oral).
Authors: W-S. Jo, Y-J. Ju, and S-W. Lee
Oral speaker: Yeong-Joon Ju
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"Compensatory Debiasing for Gender Imbalances in Language Models", ICASSP, 2023 (oral). | code
Oral speaker: Yeong-Joon Ju
Co-authors: Seong-Whan Lee / Gun-Hee Lee / Woo-Jeoung Nam / Jung-Ho Hong / Ji-Hoon Park / Hee-Dong Kim / Tae-Jin Woo / Woo-Seok Jo / Jeong-Woo Shim
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Research on AI-based large-scale language modeling techniques for
Military-related topic (hidden)
, Agency for Defense Development (ADD, ๊ตญ๋ฐฉ๊ณผํ์ฐ๊ตฌ์), Korea (Aug. 2023 ~ Nov. 2023)Team leader (practitioner)
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Development of an AI assistant for elementary education teacher based on a large language model (LLM), i-Scream Edu (์์ด์คํฌ๋ฆผ์๋), Korea (May 2023 ~ Jan. 2024)
Team leader (practitioner)
Research of LLM for NLG
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Development of Artificial Intelligence Technology for Personalized Plug-and-Play Explanation and Verification of Explanation, Institute of Information & communications Technology Planning & Evaluation (IITP), Korea (Jun. 2022 ~ Dec. 2023)
Team leader (practitioner)
Research of plug-and-play debugging for the decision-making process of neural networks
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Development of facial skin change analysis and visualization techniques, Samsung Electronics (์ผ์ฑ์ ์), Korea (Jun. 2020 ~ Jun. 2021)
Research of facial dense alignment technique based on optical flow
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Reviewer at IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
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Grand Prize in The 6th SWยทAI Hackerton, Sejong University, Korea (Jul. 2019)
Project: Android application that manages seat status for discussion lounge / Development of seat status detection model and API based on Flask (Jul. 2019 ~ Jul. 2019)
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Grand Prize in The 7th Creative Design Competition, Sejong University, Korea (Jun. 2019)
Project: Web application that automatically blurs out license plates and faces / Development of web application based on React.js, detection models, and API. (Mar. 2019 ~ Jun. 2019)