Intelligence and Optimization in Networks Lab
Welcome to ION Lab
Welcome to the Intelligence and Optimization in Networks (ION) lab. ION lab is a research group in the Department of Computer Science & Artificial Intelligence at Dongguk University, Seoul, South Korea.
Our research mission is to understand interactions in graph-structured, networked systems and make them intelligent and optimized. To accomplish this, we use tools from probabilistic machine learning, graph structure, and optimization. Some of our favorite applications are in edge/IoT systems, graph neural networks, and healthcare systems.
Recruiting & Contact
We are looking for motivated graduate students and interns to work with us.
Interested in joining the ION lab? Please feel free to contact us with your CV if you find our research interests well-matched with yours and if you would like to know more about collaboration opportunities.
ION 연구실에 관심이 있다면 다음의 글도 확인해보세요!
ION 연구실에서는 함께 연구를 수행하고자 하는 학석사연계과정 희망생 및 학부연구생 을 환영합니다. 연구실에 참여하고 싶은 분은 PI에게 연락하여 면담을 신청하기 바랍니다. (2024년도 상반기 (겨울방학+1학기) 희망자 recruit 마감)
PI와 사전 면담 후 진행
Research Areas
Machine Learning (기계학습)
Learning and Inference based on Graphical Models (그래프 기반 학습 및 추론)
Generative Models (생성 모델)
Intelligent Networks (지능형 네트워크)
Selected Publications
Sound-based Sleep Staging by Exploiting Real-world Unlabeled Data, ICLR workshop 2023
Multi-Sample Online Learning for Probabilistic Spiking Neural Networks, IEEE TNNLS 2022 (JCR Q1, Top 1%)
On Cost-efficient Learning of Data Dependency, IEEE TNET 2022 (JCR Q1, Top 10%)
Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck, NeurIPS 2021
Solving Continual Combinatorial Selection via Deep Reinforcement Learning, IJCAI 2019
An Introduction to Probabilistic Spiking Neural Networks, IEEE SPM 2019 (JCR Q1, Top 2.5%)