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yeongjoonJu/README.md

😄 Profile

🎓 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) $\rightarrow$ 🌞 language modeling for multimodalities (NLP)

📃 Publications

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

💻 Research Projects (national and industry-academic projects)

  • Development of Core Technologies for Artificial General Intelligence based on Task-free Generalized Self-Awareness and Self-Learning (태스크에 무관한 자가 인지 및 학습 기반 범용 인공지능 핵심 기술 개발)

    • Institution: Institute of Information & communications Technology Planning & Evaluation (IITP, 정보통신기획평가원), Republic of Korea
    • Duration: Jul. 2024 ~ present
    • Role: Designing long-term research and development goals and content for AGI, and preparing a research and development plan for the project (과제 제안서 작성) / Research of self-improving multimodal agents
  • Research on AI-based large-scale language modeling techniques for military-related topic (hidden)

    • Institution: Agency for Defense Development (ADD, 국방과학연구소), Republic of Korea
    • Duration: Aug. 2023 ~ Nov. 2023
    • Role: Team leader (practitioner)
  • Development of an AI assistant for elementary education teacher based on a large language model (대규모 언어 모델 기반 초등 교육 교사 어시스턴트 개발)

    • Institution: i-Scream Edu (아이스크림에듀), Republic of Korea
    • Duration: May 2023 ~ Jan. 2024
    • Role: Team leader (practitioner) / Development of LLM-based assistant for primary education teachers and elementary students
  • Development of Artificial Intelligence Technology for Personalized Plug-and-Play Explanation and Verification of Explanation (플러그앤플레이 방식으로 설명가능성을 제공하는 인공지능 기술 개발 및 인공지능 시스템에 대한 설명 제공 검증)

    • Institution: Institute of Information & communications Technology Planning & Evaluation (IITP, 정보통신기획평가원), Republic of Korea
    • Duration: Jun. 2022 ~ Dec. 2023
    • Role: Team leader (practitioner) / Research of plug-and-play debugging for the decision-making process of neural networks
  • Development of facial skin change analysis and visualization techniques (얼굴 피부 변화 분석 및 시각화 기술 개발)

    • Institution: Samsung Electronics (삼성전자), Republic of Korea
    • Duration: Jun. 2020 ~ Jun. 2021
    • Role: Research of facial dense alignment technique based on optical flow

👍 Awards, etc.

  • Reviewer at IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024

  • Grand Prize in The 6th SW·AI 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)

  • 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)

Pinned Loading

  1. CFR-GAN CFR-GAN Public

    Complete Face Recovery GAN: Unsupervised Joint Face Rotation and De-Occlusion from a Single-View Image (WACV 2022)

    Python 92 7

  2. Occlusion-Robust-3D-Face-CFR-GAN Occlusion-Robust-3D-Face-CFR-GAN Public

    Occlusion robust 3D face reconstruction model in CFR-GAN (WACV 2022)

    Python 53 9

  3. NeuroInspect NeuroInspect Public

    Neuron-based Debugging Framework for Mitigating Spurious Correlations in Neural Networks

    Jupyter Notebook 6

  4. Mesh-Viewer-using-pytorch3d Mesh-Viewer-using-pytorch3d Public

    Mesh Viewer implemented pyqt5

    Python 21 5

  5. PRML-NLP/ElementGPT PRML-NLP/ElementGPT Public

    GPT for elementary school

    Python 3

  6. Ret_XKnow Ret_XKnow Public

    The code for 'Enhancing Multimodal Query Representation via Visual Dialogues for End-to-End Knowledge Retrieval'

    Python 3