Jaehun Kim, Stjepan Picek, Annelie Heuser, Shivam Bhasin, Alan Hanjalic (2025), Still Making Noise: Improving Deep-Learning-Based Side-Channel Analysis, In IEEE Design and Test Volume 42 p.20-27.

Jaehun Kim, C.C.S. Liem (2022), The power of deep without going deep? A study of HDPGMM music representation learning, In Proceedings of the 23rd International Society for Music Information Retrieval Conference p.116 - 124.

Jaehun Kim (2021), Increasing trust in complex machine learning systems: Studies in the music domain, PhD Thesis Delft University of Technology.

Hyemin Ahn, Jaehun Kim, Kihyun Kim, Songhwai Oh (2020), Generative autoregressive networks for 3d dancing move synthesis from music, In IEEE Robotics and Automation Letters Volume 5 p.3501-3508.

Jaehun Kim, Andrew M. Demetriou, Sandy Manolios, M. Stella Tavella, Cynthia C.S. Liem (2020), “Butter lyrics over hominy grit”^†: Comparing audio and psychology-based text features in MIR tasks, Julie Cumming, Jin Ha Lee, Brian McFee, Markus Schedl, Johanna Devaney, Johanna Devaney, Cory McKay, Eva Zangerle, Timothy de Reuse (Eds.), In Proceedings of the 21st International Society for Music Information Retrieval Conference, ISMIR 2020 p.150-156, International Society for Music Information Retrieval (ISMIR).

Jaehun Kim, Julián Urbano, Cynthia C.S. Liem, Alan Hanjalic (2019), Are Nearby Neighbors Relatives?: Testing Deep Music Embeddings, In Frontiers in Applied Mathematics an Statistics Volume 5 p.1-17.

Jaehun Kim, Sandy Manolios, Andrew Demetriou, Cynthia Liem (2019), Beyond Explicit Reports: Comparing Data-Driven Approaches to Studying Underlying Dimensions of Music Preference, In ACM UMAP 2019 - Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization p.285-293, ACM.

Jaehun Kim, Julián Urbano, Cynthia C.S. Liem, Alan Hanjalic (2019), One deep music representation to rule them all? A comparative analysis of different representation learning strategies, In Neural Computing and Applications Volume 32 (2020) p.1067-1093.

Arthur Flexer, Geoffroy Peeters, Julián Urbano, Anja Volk (Eds.) (2019), Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019, International Society for Music Information Retrieval (ISMIR).

Jaehun Kim, Minz Won, Cynthia C.S. Liem, Alan Hanjalic (2018), Towards Seed-Free Music Playlist Generation: Enhancing collaborative Filtering with Playlist Title Information, In RecSys Challenge '18 p.1-6, ACM.