Curriculum-Vitae
29 Aug 2023Hi! I am a MS/Ph.d integrated student at Daintlab @ Seoultech, advised by Prof. Sangheum Hwang. I received B.S. in Industrial and Information Systems Engineering & B.S. in Electrical and Information Engineering at Seoultech.
Education
- Ph.d in Data Science
- Seoul National University of Science and Technology, Seoul, South Korea : 2023.03 ~
- B.S. in Industrial and Information System & Electrical and Information Engineering
- Seoul National University of Science and Technology, Seoul, South Korea : 2016.03 ~ 2022.02
Research Interests
- Uncertainty
- Out Of Distribution Detection
- Multi-modal Representation Learning
- Energy-Based-Modeling
- Unlearning
Experience
- Summer Research Internship
- Korea Institute of Science and Technology Information (KISTI), Daejeon : 2021.07 ~ 2021.08
Publication
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Jihyo Kim, Jeonghyeon Kim, Sangheum Hwang, “Deep Active Learning with Contrastive Learning Under Realistic Data Pool Assumptions”, AAAI 2023 Workshop on Practical Deep Learning in the Wild
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Jeonghyeon Kim, Jihyo Kim, Sangheum Hwang, “Enhancing Out-of-Distribution Detection Performance of CLIP Based on Fine-tuning with Random Texts”, Korea Computer Congress 2023 (Oral)
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Jeonghyeon Kim, Jihyo Kim, Sangheum Hwang, “Comparison of Out-Of-Distribution Detection Performance of CLIP-Based Fine-Tuning Methods”, International Conference on Electronics, Information, and Communication (ICEIC) 2024 (Gold Prize)
Skills and Certificate
- Languages & Software : Python, Pytorch, Tensorflow, Linux, Docker
- Engineer Qulity Management : 20204010802Z.
- Engineer Information Processing : 19201021536Y.
Awards
- Korea Computer Congress 2023 (Paper Award)
- International Conference on Electronics, Information, and Communication (ICEIC) 2024 (Gold Prize)
Teaching
- Seoultech
- 146048/41001 : Artificial Intelligence (Fall 2023) - TA
- 113044-41001 : Deep Learning (Spring 2024) - TA