Hyundong Jin

Curriculum Vitae

About Me

Hyundong Jin received the B.S degree in Electrical and Electronics Engineering from Chung-Ang University, in 2020, and the M.S degree in School of Computer Science and Engineering from Chung-Ang University in 2022.

He is currently Ph.D candidate in School of Computer Science of Chung-Ang University.

His research interests include deep learning, machine learning, continual learning, multi-modal learning, and computer vision.

He is most skilled in: Continual Learning. [CV]

Education

Chung-Ang University

Mar. 2022 - present

Ph.D. Candidate - School of Computer Science and Engineering (advisor: Eunwoo Kim)

Chung-Ang University

Mar. 2020 - Feb.2022

Master degree - School of Computer Science and Engineering (advisor: Eunwoo Kim)

Chung-Ang University

Mar. 2015 - Feb.2020

Bachelor degree - Electrical and Electronics Engineering.

International Conference

ICCV 2023

Top-tier Conference in Computer Vision & Machine Learning

Google Scholar

Growing a Brain with Sparsity-Inducing Generation for Continual Learning,

Hyundong Jin, Gyeong-Hyeon Kim, Chanho Ahn, and Eunwoo Kim. [Paper] [Code]

ECCV 2022

Top-tier Conference in Computer Vision & Machine Learning

Google Scholar

Helpful or Harmful: Inter-Task Association in Continual Learning,

Hyundong Jin and Eunwoo Kim [Paper] [Code]

International Journal

IEEE Access 2023

International Journal

Impact Factor 3.476 (2023)

Task-Aware Dynamic Model Optimization for Multi-Task Learning,

Sujin Choi *, Hyundong Jin *, and Eunwoo Kim (* denotes for equal contribution) [Paper]

IEEE Access 2022

International Journal

Impact Factor 3.367 (2022)

Gating Mechanism in Deep Neural Networks for Resource-Efficient Continual Learning,

Hyundong Jin, Kimin Yun, and Eunwoo Kim [Paper]

Awards

2023.

Grand Prize, Big Data Utilization Contest

by Doosan Enerbility

2023.

Excellence Prize, Big Data Utilization Contest

by HD Hyundai XiteSolution

Patents

2023.

A Neural Network Apparatus and Neural Network Learning Method for Performing Continuous Learning Using a Correlation Analysis Algorithm Between Tasks

Republic of Korea. 10-2022-0101187

Project Experiences

2024 - present.

Time-Series Action Prediction and Segmentation

Funded by HD Hyundai Construction Equipment

2024 - present.

Multi-Modal Continual Learning with Context Understanding

Funded by National Research Foundation

2021 - 2023.

Learning Transferable Task Knowledge and Planner for Service Robots

Funded by Samsung Research Funding & Incubation Center

2020 - present.

Development of AI for Self-Improving Competency-Aware Learning

Funded by IITP

2020 - 2022.

Automated Deep Learning Technology for Multi-Task Learning

Funded by National Research Foundation

Invited Talks

Feb. 2023.

AhnLab,

Continual Learning

Feb. 2023.

Korean Computer Vision Society (KCVS),

Continual Learning session.

Dec. 2022.

Korean Artificial Intelligence Association (KAIA) and NAVER,

CV / NLP session.

Teaching Experiences

2024.

Machine Learning (Teaching Assistant) in Chung-Ang University (CAU)

2023.

Advanced Artificial Intelligence (Teaching Assistant) in Chung-Ang University (CAU)

2021.

Capstone Design (Teaching Assistant) in Chung-Ang University (CAU)

2020.

Visual Intelligence and it’s Applications in Electronics and Telecommunications Research Institute (ETRI)

2020.

Algorithms (Teaching Assistant) in Chung-Ang University (CAU)