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Yeong-Joon Ju

πŸ˜„ Profile

πŸŽ“ Affiliation: Pattern Recognition and Machine Learning Lab in Korea University (2020~)

I'm researching Neural Network Dissection interpreting hidden units in neural networks and Language Modeling adapted to specific domains or languages.

Research direction: face generation (vision) $\rightarrow$ dialogue generation (NLP) $\rightarrow$ neural network debugging (XAI) $\rightarrow$ 🌞 language modeling for multimodalities (NLP)

πŸ“ƒ Publications

πŸ’» Research Projects (national or industry-academic projects)

  • Research on AI-based large-scale language modeling techniques for Military-related topic (hidden), Agency for Defense Development (ADD, κ΅­λ°©κ³Όν•™μ—°κ΅¬μ†Œ), Korea (Aug. 2023 ~ Nov. 2023) Team leader (practitioner)

  • Development of an AI assistant for elementary education teacher based on a large language model (LLM), i-Scream Edu (μ•„μ΄μŠ€ν¬λ¦Όμ—λ“€), Korea (May 2023 ~ Jan. 2024) Team leader (practitioner)

    Research of LLM for NLG

  • 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

  • Development of facial skin change analysis and visualization techniques, Samsung Electronics (μ‚Όμ„±μ „μž), Korea (Jun. 2020 ~ Jun. 2021)

    Research of facial dense alignment technique based on optical flow

πŸ‘ Awards, etc.

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

  • Grand Prize in The 6th SWΒ·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)

JU YEONG-JOON's Projects

attention_faithfulness icon attention_faithfulness

This is the official pytorch implementation of "Rethinking Attention-Model Explainability through Faithfulness Violation Test" (https://arxiv.org/abs/2201.12114).

augnle icon augnle

Data augmentation for few-shot natural language explanations

autoeter icon autoeter

EMNLP 2020 Findings: AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding

cfr-gan icon cfr-gan

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

llava icon llava

[NeurIPS'23 Oral] Visual Instruction Tuning: LLaVA (Large Language-and-Vision Assistant) built towards GPT-4V level capabilities.

neuroinspect icon neuroinspect

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

nlp_followup icon nlp_followup

Vision μ—°κ΅¬μ—μ„œ NLP μ—°κ΅¬λ‘œ λ°©ν–₯ μ „ν™˜

seoultheplace icon seoultheplace

2018λ…„ μ„œμšΈμ‹œ μ•± 곡λͺ¨μ „ μΆœν’ˆμž‘(μ„œμšΈλ”ν”Œλ ˆμ΄μŠ€)

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