ScholarX: HAN, JIN YOUNG

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HAN, JIN YOUNG (한진영)

Computing and Informatics (Convergence)

Research Area: Data Science, Machine Learning, Networks, Computational Social Science, Artificial Intelligence, Data Science, Machine Learning, Networks, Computational Social Science, Artificial Intelligence

Tel 02-740-1797
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Explainable AI:2||Social media:2||AI:2||Influencer marketing:2||Deep learning:2||Instagram:2||Online conversation:2||DrawAPersonintheRain:2||Drawing assessments:2||Pass Map:2||deep learning:2||5G:2||Art therapy:2||technology acceptance:2||Expert support system:2||traffic prediction:2||Machine Learning:2||Machine learning:2||Match Winner Prediction:2||user experience:2||Football:2||Deepfake Video Detection:1||Dementia prevention:1||Devicetodevice:1||Diversification score prediction:1||Early detection:1||Edge computing:1||Edge orchestration:1||Edgenative:1||Endstage kidney disease:1||Engagement bot:1||Engagement network:1||Erythropoiesisstimulating agents:1||Face:1||Face Embedding:1||Facial display:1||Factchecking:1||Fake News:1||Fake engagement:1||Fandom:1||Graph neural network:1||Influencer fraud:1||Influencer profiling:1||Intrinsic motivation:1||Kpop:1||Leadership:1||Live streaming:1||MHRS:1||Mild Cognitive Impairment detection:1||Mobile social networks:1||Multitask learning:1||Multimodal neural network:1||Online comments:1||Online community:1||Online learning:1||Online reviews:1||Pose estimation:1||Qualitative study:1||Recommendation system:1||Reddit:1||Repeat visit:1||Rumor detection:1||Sentiment Analysis:1||Sequential Embedding:1||TAUKADIAL Challenge:1||TeacherAI cooperation:1||Transfer learning:1||Transfusion alert:1||Trust:1||Twitter:1||User experience:1||User profiling:1||User tagging:1||Video learning:1||Virtual Influencer:1||Web of Science:1||YouTube:1||affection:1||antivascular endothelial growth factor:1||art therapy:1||artificial intelligence:1||bibliometric analysis:1||bipolar disorder:1||central serous chorioretinopathy:1||clinical interview:1||computer aided diagnosis:1||computer vision:1||convolutional neural network:1||crossnation:1||diagnostic study:1||drawing assessment:1||emotion:1||hierarchical question embedding:1||imaging informatics:1||information quality:1||medical image:1||mental health:1||meta learning:1||mobile hotel reservation services:1||multitask learning:1||multilingual processing:1||multimodal depression detection:1||multimodal feature analysis:1||multimodal machine learning:1||myopic choroidal neovascularization:1||online learning:1||ophthalmology:1||optical coherence tomography:1||perceived cost:1||perceived ease of use:1||perceived usefulness:1||perceived value:1||private networks:1||private5G:1||rating:1||retinal disease:1||retinopathy:1||scenelevel dataset:1||sentiment analysis:1||service quality:1||sharing service:1||social media:1||social sharing:1||stage model:1||stress:1||stressor:1||suicide:1||temporal sequence learning:1||transfer learning:1||usability:1||usefulness:1||4G:1||visual acuity:1||5G/6G networks:1||Ai agent:1||Airbnb:1||Anemia:1||Artificial intelligence:1||Bot detection:1||COVID19:1||COVID19:1||Collaboration:1||Comment:1||Comment tagging:1||Communication:1||Computerized cognitive therapy:1||Computers Are Social Actors:1||Content dissemination:1||Continuity prediction:1||Contrastive Learning:1||Crosscultural:1||Dance education:1||Data measurement:1||

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(03063) 25-2, SUNGKYUNKWAN-RO, JONGNO-GU, SEOUL, KOREA samsunglib@skku.edu

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