About Me
I’m a Ph.D student at Machine Learning and Intelligence Lab (MLILAB) in KAIST, under the supervision of Prof. Eunho Yang.
My research interest includes addressing the challenges in multiple domains and combining those domains:
- Graph
- Point clouds
- Video
- Speech
Education
-
Ph.D. in Graduate School of AI, Korea Advanced Institute of Science and Technology (KAIST), Mar. 2021 - Present
-
M.S. in School of Computing, Korea Advanced Institute of Science and Technology (KAIST), Mar. 2019 - Feb. 2021
-
B.S. in Mathematics, Pohang University of Science and Technology (POSTECH), Mar. 2012 - Feb. 2019
Conference Publications
-
RGE: A Repulsive Graph Rectification for Node Classification via Influence
[paper] [code]
Jaeyun Song*, SungYub Kim*, Eunho Yang (*: equal contribution)
ICML 2023 -
WeavSpeech: Data Augmentation Strategy for Automatic Speech Recognition via Semantic-Aware Weaving
[paper]
Kyusung Seo, Joonhyung Park, Jaeyun Song, Eunho Yang
ICASSP 2023 -
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
[paper] [code]
Jaeyun Song*, Joonhyung Park*, Eunho Yang (*: equal contribution)
ICML 2022 -
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification
[paper] [code]
Joonhyung Park*, Jaeyun Song*, Eunho Yang (*: equal contribution)
ICLR 2022 -
Learning How Long to Wait: Adaptively-Constrained Monotonic Multihead Attention for Streaming ASR
[paper]
Jaeyun Song, Hajin Shim, Eunho Yang
ASRU 2021 -
Mutually-Constrained Monotonic Multihead Attention for Online ASR
[paper]
Jaeyun Song, Hajin Shim, Eunho Yang
ICASSP 2021
Work Experiences
- Intern, SK Hynix, Icheon, South Korea (Dec 2018 - Feb 2019)
Projects
-
Development of Technology for Content Creation and Automated Correction Based on Deep Learning, Naver AI, 2021-2023
-
Development of brain-inspired AI with human-like intelligence, IITP, 2019-2022
Academic Services
- Conference Reviewer: NeurIPS 2022, ICML 2023, NeurIPS 2023, ICLR 2024