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).
News!
Overall Winner 🏆, CVPR 2026 Foundational FSOD Challenge
Won the Foundational Few-Shot Object Detection challenge using Superb AI's model ZERO.
Joined Superb AI as a Machine Learning Engineer 💼
Serving as an Expert Research Personnel (alternative military service).
Received my Ph.D. in Computer Science and Engineering 🎓
Chung-Ang University
One paper accepted to CVPR 2026 🎉
Continual unlearning for large vision-language models.
One paper accepted to ICLR 2026 🎉
XIL: Cross-Expanding Incremental Learning.
One paper accepted to Neural Networks 🎉
Exploration and Exploitation in Continual Learning.
One paper accepted to ICCV 2025 🎉
Instruction-grounded visual projectors for continual learning of generative VLMs.
One paper accepted to ICCV 2023 🎉
Growing a brain with sparsity-inducing generation for continual learning.
One paper accepted to ECCV 2022 🎉
Helpful or harmful: inter-task association in continual learning.
Publications
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
- Overall Winner, CVPR 2026 Foundational FSOD Challenge · The 6th Workshop of Open World Vision, 2026
- 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, Neural Networks, Neurocomputing