Single and Multi Column Neural Networks for Content-based Music Genre Recognition. - Chang Wook Kim; Jaehun Kim; Kwangsub Kim; Minz Won (MediaEval, 2017)

Towards Seed-Free Music Playlist Generation: Enhancing Collaborative Filtering with Playlist Title Information. - Jaehun Kim; Minz Won; Cynthia C. S. Liem; Alan Hanjalic (RecSys Challenge, 2018)

On the Performance of Convolutional Neural Networks for Side-Channel Analysis. - Stjepan Picek; Ioannis Petros Samiotis; Jaehun Kim; Annelie Heuser; Shivam Bhasin; Axel Legay (SPACE, 2018)

Transfer Learning of Artist Group Factors to Musical Genre Classification. - Jaehun Kim; Minz Won; Xavier Serra; Cynthia C. S. Liem (WWW (Companion Volume), 2018)

On the Performance of Deep Learning for Side-channel Analysis. - Stjepan Picek; Ioannis Petros Samiotis; Annelie Heuser; Jaehun Kim; Shivam Bhasin; Axel Legay (IACR Cryptol. ePrint Arch., 2018)

Dissecting 802.11ac Performance - Why You Should Turn Off MU-MIMO. - Hyunwoo Choi; Taesik Gong; Jaehun Kim; Jaemin Shin 005; Sung-Ju Lee (MobiSys, 2019)

Beyond Explicit Reports: Comparing Data-Driven Approaches to Studying Underlying Dimensions of Music Preference. - Jaehun Kim; Andrew M. Demetriou; Sandy Manolios; Cynthia C. S. Liem (UMAP, 2019)

Use MU-MIMO at your own risk - Why we don't get Gb/s Wi-Fi. - Hyunwoo Choi; Taesik Gong; Jaehun Kim; Jaemin Shin 005; Sung-Ju Lee (Ad Hoc Networks, 2019)

Effective Network Compression Using Simulation-Guided Iterative Pruning. - Dae-Woong Jeong; Jaehun Kim; Youngseok Kim; Tae-Ho Kim; Myungsu Chae (CoRR, 2019)

Are Nearby Neighbors Relatives?: Diagnosing Deep Music Embedding Spaces. - Jaehun Kim; Julián Urbano; Cynthia C. S. Liem; Alan Hanjalic (CoRR, 2019)

Generative Autoregressive Networks for 3D Dancing Move Synthesis from Music. - Hyemin Ahn 001; Jaehun Kim; Kihyun Kim 001; Songhwai Oh (CoRR, 2019)

Are Nearby Neighbors Relatives? Testing Deep Music Embeddings. - Jaehun Kim; Julián Urbano; Cynthia C. S. Liem; Alan Hanjalic (Frontiers Appl. Math. Stat., 2019)

Make Some Noise. Unleashing the Power of Convolutional Neural Networks for Profiled Side-channel Analysis. - Jaehun Kim; Stjepan Picek; Annelie Heuser; Shivam Bhasin; Alan Hanjalic (IACR Trans. Cryptogr. Hardw. Embed. Syst., 2019)

Butter Lyrics Over Hominy Grit: Comparing Audio and Psychology-Based Text Features in MIR Tasks. - Jaehun Kim; Andrew M. Demetriou; Sandy Manolios; Maria Stella Tavella; Cynthia C. S. Liem (ISMIR, 2020)

Object shape recognition using tactile sensor arrays by a spiking neural network with unsupervised learning. - Jaehun Kim; Sung-Phil Kim; Jungjun Kim; Heeseon Hwang; Jaehyun Kim; Doowon Park; Unyong Jeong (SMC, 2020)

Precise Indoor Localization: Rapidly-Converging 2D Surface Correlation-Based Fingerprinting Technology Using LTE Signal. - Jung Ho Lee; Beomju Shin; Donghyun Shin; Jaehun Kim; Jinwoo Park; Taikjin Lee (IEEE Access, 2020)

One deep music representation to rule them all? A comparative analysis of different representation learning strategies. - Jaehun Kim; Julián Urbano; Cynthia C. S. Liem; Alan Hanjalic (Neural Comput. Appl., 2020)

Increasing trust in complex machine learning systems: studies in the music domain. - Jaehun Kim (SIGIR Forum, 2021)

AiRS: A Large-Scale Recommender System at NAVER News. - Hongjun Lim; Yeon-Chang Lee; Jin-Seo Lee; Sanggyu Han; Seunghyeon Kim; Yeon Jeong Jeong; Changbong Kim; Jaehun Kim; Sunghoon Han; Solbi Choi; Hanjong Ko; Dokyeong Lee; et al. (ICDE, 2022)

The power of deep without going deep? A study of HDPGMM music representation learning. - Jaehun Kim; Cynthia C. S. Liem (ISMIR, 2022)

Dynamic tactility by position-encoded spike spectrum. - Taeyeong Kim; Jaehun Kim; Insang You; Joosung Oh; Sung-Phil Kim; Unyong Jeong (Sci. Robotics, 2022)

Contrastive Learning for Cross-Modal Artist Retrieval. - Andres Ferraro; Jaehun Kim; Sergio Oramas; Andreas F. Ehmann; Fabien Gouyon (ISMIR, 2023)

Let There Be Sound: Reconstructing High Quality Speech from Silent Videos. - Ji-Hoon Kim; Jaehun Kim; Joon Son Chung (AAAI, 2024)

Fast Object Tracking using Jetson-Tricore Hybrid Integration with Look-Ahead Movement Estimator. - Jaehun Kim; Daejin Park (GCCE, 2024)

Tempo Estimation as Fully Self-Supervised Binary Classification. - Florian Henkel; Jaehun Kim; Matthew C. McCallum; Samuel E. Sandberg; Matthew E. P. Davies (ICASSP, 2024)

Seeing Through The Conversation: Audio-Visual Speech Separation Based on Diffusion Model. - Suyeon Lee; Chaeyoung Jung; Youngjoon Jang 001; Jaehun Kim; Joon Son Chung (ICASSP, 2024)

On The Effect Of Data-Augmentation On Local Embedding Properties In The Contrastive Learning Of Music Audio Representations. - Matthew C. McCallum; Matthew E. P. Davies; Florian Henkel; Jaehun Kim; Samuel E. Sandberg (ICASSP, 2024)

Similar but Faster: Manipulation of Tempo in Music Audio Embeddings for Tempo Prediction and Search. - Matthew C. McCallum; Florian Henkel; Jaehun Kim; Samuel E. Sandberg; Matthew E. P. Davies (ICASSP, 2024)

Fregrad: Lightweight and Fast Frequency-Aware Diffusion Vocoder. - Tan Dat Nguyen; Ji-Hoon Kim; Youngjoon Jang 001; Jaehun Kim; Joon Son Chung (ICASSP, 2024)

Towards Automated Personal Value Estimation in Song Lyrics. - Andrew M. Demetriou; Jaehun Kim; Sandy Manolios; Cynthia C. S. Liem (ISMIR, 2024)

Transcription-Based Lyrics Embeddings: Simple Extraction of Effective Lyrics Embeddings From Audio. - Jaehun Kim; Florian Henkel; Camilo Landau; Samuel E. Sandberg; Andreas F. Ehmann (ISMIR, 2024)

Towards Estimating Personal Values in Song Lyrics. - Andrew M. Demetriou; Jaehun Kim; Sandy Manolios; Cynthia C. S. Liem (CoRR, 2024)

From Faces to Voices: Learning Hierarchical Representations for High-quality Video-to-Speech. - Ji-Hoon Kim; Jeongsoo Choi; Jaehun Kim; Chaeyoung Jung; Joon Son Chung (CVPR, 2025)

AdaptVC: High Quality Voice Conversion with Adaptive Learning. - Jaehun Kim; Ji-Hoon Kim; Yeunju Choi; Tan Dat Nguyen; Seongkyu Mun; Joon Son Chung (ICASSP, 2025)

Still Making Noise: Improving Deep- Learning-Based Side- Channel Analysis. - Jaehun Kim; Stjepan Picek; Annelie Heuser; Shivam Bhasin; Alan Hanjalic (IEEE Des. Test, 2025)

Dub-S2ST: Textless Speech-to-Speech Translation for Seamless Dubbing. - Jeongsoo Choi; Jaehun Kim; Joon Son Chung (CoRR, 2025)