Curriculum-Vitae

29 Aug 2023

Hi! 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

• 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

• 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)

• 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