Jaehun Kim

53 papers A* 3A 3B 1Misc 6Journal 28Unranked 12
YearRankTypeTitle / Venue / Authors
2026 A conf
Ethane: Debloating State Data using Compact Trie for Account-based Blockchain.
EuroSys
Junmo Lee, Jaehun Kim, Jiyong Youn, Soo-Mook Moon
2025 Misc conf
AdaptVC: High Quality Voice Conversion with Adaptive Learning.
ICASSP
Jaehun Kim, Ji-Hoon Kim, Yeunju Choi, Tan Dat Nguyen, Seongkyu Mun, Joon Son Chung
2025 J jnl
AdaptVC: High Quality Voice Conversion with Adaptive Learning.
CoRR
Jaehun Kim, Ji-Hoon Kim, Yeunju Choi, Tan Dat Nguyen, Seongkyu Mun, Joon Son Chung
2025 J jnl
Controllable Embedding Transformation for Mood-Guided Music Retrieval.
CoRR
Julia Wilkins, Jaehun Kim, Matthew E. P. Davies, Juan Pablo Bello, Matthew C. McCallum
2025 — conf
Dub-S2ST: Textless Speech-to-Speech Translation for Seamless Dubbing.
EMNLP (Findings)
Jeongsoo Choi, Jaehun Kim, Joon Son Chung
2025 J jnl
Dub-S2ST: Textless Speech-to-Speech Translation for Seamless Dubbing.
CoRR
Jeongsoo Choi, Jaehun Kim, Joon Son Chung
2025 A* conf
From Faces to Voices: Learning Hierarchical Representations for High-quality Video-to-Speech.
CVPR
Ji-Hoon Kim, Jeongsoo Choi, Jaehun Kim, Chaeyoung Jung, Joon Son Chung
2025 J jnl
From Faces to Voices: Learning Hierarchical Representations for High-quality Video-to-Speech.
CoRR
Ji-Hoon Kim, Jeongsoo Choi, Jaehun Kim, Chaeyoung Jung, Joon Son Chung
2025 — conf
Quantize & Factorize: A fast yet effective unsupervised audio representation without deep learning.
ISMIR
Jaehun Kim, Matthew C. McCallum, Andreas F. Ehmann
2025 J jnl
SPADE: Structured Pruning and Adaptive Distillation for Efficient LLM-TTS.
CoRR
Tan Dat Nguyen, Jaehun Kim, Ji-Hoon Kim, Shukjae Choi, Youshin Lim, Joon Son Chung
2025 J jnl
Still Making Noise: Improving Deep- Learning-Based Side- Channel Analysis.
IEEE Des. Test
Jaehun Kim, Stjepan Picek, Annelie Heuser, Shivam Bhasin, Alan Hanjalic
2024 — conf
Fast Object Tracking using Jetson-Tricore Hybrid Integration with Look-Ahead Movement Estimator.
GCCE
Jaehun Kim, Daejin Park
2024 J jnl
FreGrad: Lightweight and Fast Frequency-aware Diffusion Vocoder.
CoRR
Tan Dat Nguyen, Ji-Hoon Kim, Youngjoon Jang, Jaehun Kim, Joon Son Chung
2024 Misc conf
Fregrad: Lightweight and Fast Frequency-Aware Diffusion Vocoder.
ICASSP
Tan Dat Nguyen, Ji-Hoon Kim, Youngjoon Jang, Jaehun Kim, Joon Son Chung
2024 A* conf
Let There Be Sound: Reconstructing High Quality Speech from Silent Videos.
AAAI
Ji-Hoon Kim, Jaehun Kim, Joon Son Chung
2024 Misc conf
On The Effect Of Data-Augmentation On Local Embedding Properties In The Contrastive Learning Of Music Audio Representations.
ICASSP
Matthew C. McCallum, Matthew E. P. Davies, Florian Henkel, Jaehun Kim, Samuel E. Sandberg
2024 J jnl
On the Effect of Data-Augmentation on Local Embedding Properties in the Contrastive Learning of Music Audio Representations.
CoRR
Matthew C. McCallum, Matthew E. P. Davies, Florian Henkel, Jaehun Kim, Samuel E. Sandberg
2024 Misc conf
Seeing Through The Conversation: Audio-Visual Speech Separation Based on Diffusion Model.
ICASSP
Suyeon Lee, Chaeyoung Jung, Youngjoon Jang, Jaehun Kim, Joon Son Chung
2024 Misc conf
Similar but Faster: Manipulation of Tempo in Music Audio Embeddings for Tempo Prediction and Search.
ICASSP
Matthew C. McCallum, Florian Henkel, Jaehun Kim, Samuel E. Sandberg, Matthew E. P. Davies
2024 J jnl
Similar but Faster: Manipulation of Tempo in Music Audio Embeddings for Tempo Prediction and Search.
CoRR
Matthew C. McCallum, Florian Henkel, Jaehun Kim, Samuel E. Sandberg, Matthew E. P. Davies
2024 Misc conf
Tempo Estimation as Fully Self-Supervised Binary Classification.
ICASSP
Florian Henkel, Jaehun Kim, Matthew C. McCallum, Samuel E. Sandberg, Matthew E. P. Davies
2024 J jnl
Tempo estimation as fully self-supervised binary classification.
CoRR
Florian Henkel, Jaehun Kim, Matthew C. McCallum, Samuel E. Sandberg, Matthew E. P. Davies
2024 — conf
Towards Automated Personal Value Estimation in Song Lyrics.
ISMIR
Andrew M. Demetriou, Jaehun Kim, Sandy Manolios, Cynthia C. S. Liem
2024 J jnl
Towards Estimating Personal Values in Song Lyrics.
CoRR
Andrew M. Demetriou, Jaehun Kim, Sandy Manolios, Cynthia C. S. Liem
2024 — conf
Transcription-Based Lyrics Embeddings: Simple Extraction of Effective Lyrics Embeddings From Audio.
ISMIR
Jaehun Kim, Florian Henkel, Camilo Landau, Samuel E. Sandberg, Andreas F. Ehmann
2023 — conf
Contrastive Learning for Cross-Modal Artist Retrieval.
ISMIR
Andres Ferraro, Jaehun Kim, Sergio Oramas, Andreas F. Ehmann, Fabien Gouyon
2023 J jnl
Contrastive Learning for Cross-modal Artist Retrieval.
CoRR
Andres Ferraro, Jaehun Kim, Sergio Oramas, Andreas F. Ehmann, Fabien Gouyon
2023 J jnl
Let There Be Sound: Reconstructing High Quality Speech from Silent Videos.
CoRR
Ji-Hoon Kim, Jaehun Kim, Joon Son Chung
2023 J jnl
Seeing Through the Conversation: Audio-Visual Speech Separation based on Diffusion Model.
CoRR
Suyeon Lee, Chaeyoung Jung, Youngjoon Jang, Jaehun Kim, Joon Son Chung
2022 A* conf
AiRS: A Large-Scale Recommender System at NAVER News.
ICDE
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, Jaeho Choi, Yungi Kim, Hong-Kyun Bae, Taeho Kim, JeeWon Ahn, Hyun-Soung You, Sang-Wook Kim
2022 J jnl
Dynamic tactility by position-encoded spike spectrum.
Sci. Robotics
Taeyeong Kim, Jaehun Kim, Insang You, Joosung Oh, Sung-Phil Kim, Unyong Jeong
2022 — conf
The power of deep without going deep? A study of HDPGMM music representation learning.
ISMIR
Jaehun Kim, Cynthia C. S. Liem
2021 J jnl
Increasing trust in complex machine learning systems: studies in the music domain.
SIGIR Forum
Jaehun Kim
2020 — conf
Butter Lyrics Over Hominy Grit: Comparing Audio and Psychology-Based Text Features in MIR Tasks.
ISMIR
Jaehun Kim, Andrew M. Demetriou, Sandy Manolios, Maria Stella Tavella, Cynthia C. S. Liem
2020 B conf
Object shape recognition using tactile sensor arrays by a spiking neural network with unsupervised learning.
SMC
Jaehun Kim, Sung-Phil Kim, Jungjun Kim, Heeseon Hwang, Jaehyun Kim, Doowon Park, Unyong Jeong
2020 J jnl
One deep music representation to rule them all? A comparative analysis of different representation learning strategies.
Neural Comput. Appl.
Jaehun Kim, Julián Urbano, Cynthia C. S. Liem, Alan Hanjalic
2020 J jnl
Precise Indoor Localization: Rapidly-Converging 2D Surface Correlation-Based Fingerprinting Technology Using LTE Signal.
IEEE Access
Jung Ho Lee, Beomju Shin, Donghyun Shin, Jaehun Kim, Jinwoo Park, Taikjin Lee
2019 J jnl
Are Nearby Neighbors Relatives? Testing Deep Music Embeddings.
Frontiers Appl. Math. Stat.
Jaehun Kim, Julián Urbano, Cynthia C. S. Liem, Alan Hanjalic
2019 J jnl
Are Nearby Neighbors Relatives?: Diagnosing Deep Music Embedding Spaces.
CoRR
Jaehun Kim, Julián Urbano, Cynthia C. S. Liem, Alan Hanjalic
2019 A conf
Beyond Explicit Reports: Comparing Data-Driven Approaches to Studying Underlying Dimensions of Music Preference.
UMAP
Jaehun Kim, Andrew M. Demetriou, Sandy Manolios, Cynthia C. S. Liem
2019 A conf
Dissecting 802.11ac Performance - Why You Should Turn Off MU-MIMO.
MobiSys
Hyunwoo Choi, Taesik Gong, Jaehun Kim, Jaemin Shin, Sung-Ju Lee
2019 J jnl
Effective Network Compression Using Simulation-Guided Iterative Pruning.
CoRR
Dae-Woong Jeong, Jaehun Kim, Youngseok Kim, Tae-Ho Kim, Myungsu Chae
2019 J jnl
Generative Autoregressive Networks for 3D Dancing Move Synthesis from Music.
CoRR
Hyemin Ahn, Jaehun Kim, Kihyun Kim, Songhwai Oh
2019 J jnl
Make Some Noise. Unleashing the Power of Convolutional Neural Networks for Profiled Side-channel Analysis.
IACR Trans. Cryptogr. Hardw. Embed. Syst.
Jaehun Kim, Stjepan Picek, Annelie Heuser, Shivam Bhasin, Alan Hanjalic
2019 J jnl
Use MU-MIMO at your own risk - Why we don't get Gb/s Wi-Fi.
Ad Hoc Networks
Hyunwoo Choi, Taesik Gong, Jaehun Kim, Jaemin Shin, Sung-Ju Lee
2018 J jnl
Make Some Noise: Unleashing the Power of Convolutional Neural Networks for Profiled Side-channel Analysis.
IACR Cryptol. ePrint Arch.
Jaehun Kim, Stjepan Picek, Annelie Heuser, Shivam Bhasin, Alan Hanjalic
2018 — conf
On the Performance of Convolutional Neural Networks for Side-Channel Analysis.
SPACE
Stjepan Picek, Ioannis Petros Samiotis, Jaehun Kim, Annelie Heuser, Shivam Bhasin, Axel Legay
2018 J jnl
On the Performance of Deep Learning for Side-channel Analysis.
IACR Cryptol. ePrint Arch.
Stjepan Picek, Ioannis Petros Samiotis, Annelie Heuser, Jaehun Kim, Shivam Bhasin, Axel Legay
2018 J jnl
One Deep Music Representation to Rule Them All? : A comparative analysis of different representation learning strategies.
CoRR
Jaehun Kim, Julián Urbano, Cynthia C. S. Liem, Alan Hanjalic
2018 — conf
Towards Seed-Free Music Playlist Generation: Enhancing Collaborative Filtering with Playlist Title Information.
RecSys Challenge
Jaehun Kim, Minz Won, Cynthia C. S. Liem, Alan Hanjalic
2018 — conf
Transfer Learning of Artist Group Factors to Musical Genre Classification.
WWW (Companion Volume)
Jaehun Kim, Minz Won, Xavier Serra, Cynthia C. S. Liem
2018 J jnl
Transfer Learning of Artist Group Factors to Musical Genre Classification.
CoRR
Jaehun Kim, Minz Won, Xavier Serra, Cynthia C. S. Liem
2017 — conf
Single and Multi Column Neural Networks for Content-based Music Genre Recognition.
MediaEval
Chang Wook Kim, Jaehun Kim, Kwangsub Kim, Minz Won