Hyundong Jin (He/Him)
wlsgusehd@gmail.com
I received my Ph.D. in the School of Computer Science and Engineering at Chung-Ang University (CAU) in February 2026, advised by Prof. Eunwoo Kim. I also received my B.S. in Electrical and Electronics Engineering (2020) and M.S. in Computer Science and Engineering (2022), both from Chung-Ang University. I am currently looking for full-time research positions.
Research expertise in continual learning, enabling scalable knowledge retention and adaptive capabilities by mitigating task interference across diverse domains and modalities. Explore research directions including multimodal learning, resource-efficient learning, and multimodal large language models, ultimately aiming toward Artificial General Intelligence (AGI).
Education
Ph.D. in Computer Science and Engineering
Chung-Ang University · Advisor: Prof. Eunwoo Kim
Thesis: Knowledge Association and Differentiation for Efficient Continual Learning
M.S. in Computer Science and Engineering
Chung-Ang University · Advisor: Prof. Eunwoo Kim
Thesis: Continual Learning without Negative Interference in a Deep Neural Network
B.S. in Electrical and Electronics Engineering
Chung-Ang University
Publications
Which Concepts to Forget and How to Refuse? Decomposing Concepts for Continual Unlearning in Large Vision-Language Models
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
XIL: Cross-Expanding Incremental Learning
International Conference on Learning Representations (ICLR), 2026
Instruction-Grounded Visual Projectors for Continual Learning of Generative Vision-Language Models
IEEE International Conference on Computer Vision (ICCV), 2025
Also presented at Korea Robotics Society (KROS) Physical AI Workshop, 2026
Gating Mechanism in Deep Neural Networks for Resource-Efficient Continual Learning
IEEE Access, 2022
Ongoing Works
Mind the Interference: Towards Robust Continual Learning Across Modalities
To be updated
Action-incremental Learning for Temporal Action Segmentation
To be updated
Project Experiences
Multi-Modal Continual Learning with Context Understanding
Funded by National Research Foundation
Time-Series Action Prediction and Segmentation
Funded by HD Hyundai Construction Equipment
Learning Transferable Task Knowledge and Planner for Service Robots
Funded by Samsung Research Funding & Incubation Center
Development of AI for Self-Improving Competency-Aware Learning
Funded by IITP
Automated Deep Learning Technology for Multi-Task Learning
Funded by National Research Foundation
Others
Awards & Honors
- Grand Prize, Big Data Utilization Contest · Doosan Enerbility, 2023
- Excellence Prize, Big Data Utilization Contest · HD Hyundai XiteSolution, 2023
Patents
- Apparatus and Method for Continuous Learning of Neural Networks· Republic of Korea. 10-2023-0156623
- 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
Invited Talks
- AhnLab · Continual Learning, 2023
- Korean Computer Vision Society (KCVS) · Continual Learning session, 2023
- Korean Artificial Intelligence Association (KAIA) & NAVER · CV / NLP session, 2022
Teaching Experiences
- Machine Learning, Teaching Assistant (TA) · Chung-Ang University, 2024
- Advanced Artificial Intelligence, Teaching Assistant (TA) · Chung-Ang University, 2023
- Capstone Design, Teaching Assistant (TA) · Chung-Ang University, 2021
- Visual Intelligence and its Applications · ETRI, 2020
- Algorithms, Teaching Assistant (TA) · Chung-Ang University, 2020
Academic Services
- Conference Reviewer · CVPR, ICCV, ECCV, AAAI, ICLR, WACV, BMVC
- Journal Reviewer · TNNLS