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Title: Masterjun12 (Master.Jun) · GitHub

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Description: Natural Language Processing Research Engineer . Masterjun12 has 75 repositories available. Follow their code on GitHub.

Open Graph Description: Natural Language Processing Research Engineer . Masterjun12 has 75 repositories available. Follow their code on GitHub.

X Description: Natural Language Processing Research Engineer . Masterjun12 has 75 repositories available. Follow their code on GitHub.

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ak333ak12@jj.ac.kr

Opengraph URL: https://github.com/Masterjun12

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Masterjun12https://github.com/Masterjun12/Masterjun12
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Knowledge Graph Large Language Model (KG-LLM) for Link Predictionhttps://arxiv.org/abs/2403.07311
Knowledge Graphs as Context Sources for LLM-Based Explanations of Learning Recommendationshttps://ieeexplore.ieee.org/abstract/document/10578654
Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answeringhttps://aclanthology.org/2024.emnlp-main.1023/
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graphhttps://arxiv.org/abs/2307.07697
https://github.com/Masterjun12#graphrag--agentic-retrieval
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https://github.com/Masterjun12#llm-optimization-and-post-training
https://github.com/Masterjun12#computer-vision--medical-ai
A Survey of Methods for Brain Tumor Segmentation Based on MRI Imageshttps://github.com/Masterjun12/Paper-and-experiment-seminar/blob/main/Paper/A%20survey%20of%20methods%20for%20brain%20tumor%20segmentation-based%20MRI%20images%20.pdf
Edge U-Net: Brain Tumor Segmentation Using MRI Based on Deep U-Net Model with Boundary Informationhttps://github.com/Masterjun12/Paper-and-experiment-seminar/blob/main/Paper/Edge_U-Net_Brain_tumor_segmentation_using_MRI_based_on_Deep_U-Netmodel_with_boundary_information__.pdf
FU-net: Multi-class Image Segmentation Using Feedback Weighted U-nethttps://github.com/Masterjun12/Paper-and-experiment-seminar/blob/main/Paper/FU-net_Multi-class_Image_Segmentation_Using_Feedback_Weighted_U-net.pdf
Using a Generative Adversarial Network to Generate Synthetic MRI Images for Multi-class Automatic Segmentation of Brain Tumorshttps://github.com/Masterjun12/Paper-and-experiment-seminar/blob/main/Paper/Using_a_generative_adversarialnetwork_to_generate_synthetic_MRIimages_for_multi-class_automaticsegmentation_of_brain_tumors.pdf
Edge-Boosted U-Net for 2D Medical Image Segmentationhttps://github.com/Masterjun12/Paper-and-experiment-seminar/blob/main/Paper/_Edge-Boosted_U-Net_for_2D_Medical_Image_Segmentation.pdf
A Survey on Efficient Vision Transformers: Algorithms, Techniques, and Performance Benchmarkinghttps://arxiv.org/abs/2309.02031
Paper and Experiment Seminar Repositoryhttps://github.com/Masterjun12/Paper-and-experiment-seminar/tree/main/Paper
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brain_tumor_segmentationhttps://github.com/Masterjun12/brain_tumor_segmentation
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Real_Time_Lane_Damage_Detection_In_Videos_Using_Multi_Stage_Deep_Learninghttps://github.com/Masterjun12/Real_Time_Lane_Damage_Detection_In_Videos_Using_Multi_Stage_Deep_Learning
Jugahy/Real_Time_Lane_Damage_Detection_In_Videos_Using_Multi_Stage_Deep_Learninghttps://github.com/Jugahy/Real_Time_Lane_Damage_Detection_In_Videos_Using_Multi_Stage_Deep_Learning
Jugahy/Real_Time_Lane_Damage_Detection_In_Videos_Using_Multi_Stage_Deep_Learninghttps://github.com/Jugahy/Real_Time_Lane_Damage_Detection_In_Videos_Using_Multi_Stage_Deep_Learning
2 https://github.com/Jugahy/Real_Time_Lane_Damage_Detection_In_Videos_Using_Multi_Stage_Deep_Learning/forks
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