InGaAs inversion layers band structure, electrostatics, and mobility modeling based on 8 Band k · p theory. - Anh-Tuan Pham; Seonghoon Jin; Woosung Choi; M. J. Lee; S. H. Cho; Y.-T. Kim; K.-H. Lee; Y. Park (ESSDERC, 2014)

A vision-based system for monitoring block assembly in shipbuilding. - Minsung Kim; Woosung Choi; Byung-Chul Kim; Hokyeong Kim; Jae Hun Seol; Jong Hun Woo; Kwang Hee Ko (Comput. Aided Des., 2015)

A Neural Network Model for Material Degradation Detection and Diagnosis Using Microscopic Images. - Woosung Choi; Hyunsuk Huh; Bayu Adhi Tama; Gyusang Park; Seungchul Lee (IEEE Access, 2019)

A Bayesian approach for a damage growth model using sporadically measured and heterogeneous on-site data from a steam turbine. - Woosung Choi; Byeng D. Youn; Hyunseok Oh; Nam H. Kim (Reliab. Eng. Syst. Saf., 2019)

Operation-Adaptive Damage Assessment of Steam Turbines Using a Nonlinear Creep-Fatigue Interaction Model. - Woosung Choi; Heonjun Yoon; Byeng Dong Youn (IEEE Access, 2020)

LightSAFT: Lightweight Latent Source Aware Frequency Transform for Source Separation. - Yeong-Seok Jeong; Jinsung Kim; Woosung Choi; Jaehwa Chung; Soonyoung Jung (CoRR, 2021)

Learning source-aware representations of music in a discrete latent space. - Jinsung Kim; Yeong-Seok Jeong; Woosung Choi; Jaehwa Chung; Soonyoung Jung (CoRR, 2021)

Neural Vocoder is All You Need for Speech Super-resolution. - Haohe Liu; Woosung Choi; Xubo Liu 001; Qiuqiang Kong; Qiao Tian 001; DeLiang Wang (INTERSPEECH, 2022)

Tutorial on time series prediction using 1D-CNN and BiLSTM: A case example of peak electricity demand and system marginal price prediction. - Jaedong Kim; Seunghwan Oh; Heesoo Kim; Woosung Choi (Eng. Appl. Artif. Intell., 2023)

Timbre-Trap: A Low-Resource Framework for Instrument-Agnostic Music Transcription. - Frank Cwitkowitz; Kin Wai Cheuk; Woosung Choi; Marco A. Martínez Ramírez; Keisuke Toyama 002; Wei-Hsiang Liao 001; Yuki Mitsufuji (ICASSP, 2024)

Instruct-MusicGen: Unlocking Text-to-Music Editing for Music Language Models via Instruction Tuning. - Yixiao Zhang 002; Yukara Ikemiya; Woosung Choi; Naoki Murata; Marco A. Martínez Ramírez; Liwei Lin; Gus Xia; Wei-Hsiang Liao 001; Yuki Mitsufuji; Simon Dixon (CoRR, 2024)

Improving Unsupervised Clean-to-Rendered Guitar Tone Transformation Using GANs and Integrated Unaligned Clean Data. - Yu-Hua Chen; Woosung Choi; Wei-Hsiang Liao 001; Marco A. Martínez Ramírez; Kin Wai Cheuk; Yuki Mitsufuji; Jyh-Shing Roger Jang; Yi-Hsuan Yang (CoRR, 2024)

DisMix: Disentangling Mixtures of Musical Instruments for Source-level Pitch and Timbre Manipulation. - Yin-Jyun Luo; Kin Wai Cheuk; Woosung Choi; Toshimitsu Uesaka; Keisuke Toyama 002; Koichi Saito; Chieh-Hsin Lai; Yuhta Takida; Wei-Hsiang Liao 001; Simon Dixon; Yuki Mitsufuji (CoRR, 2024)

VRVQ: Variable Bitrate Residual Vector Quantization for Audio Compression. - Yunkee Chae; Woosung Choi; Yuhta Takida; Junghyun Koo; Yukara Ikemiya; Zhi Zhong; Kin Wai Cheuk; Marco A. Martínez Ramírez; Kyogu Lee; Wei-Hsiang Liao 001; Yuki Mitsufuji (CoRR, 2024)

HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes. - Yuhta Takida; Yukara Ikemiya; Takashi Shibuya 001; Kazuki Shimada; Woosung Choi; Chieh-Hsin Lai; Naoki Murata; Toshimitsu Uesaka; Kengo Uchida; Wei-Hsiang Liao 001; Yuki Mitsufuji (Trans. Mach. Learn. Res., 2024)

The Sound Demixing Challenge 2023 - Music Demixing Track. - Giorgio Fabbro; Stefan Uhlich; Chieh-Hsin Lai; Woosung Choi; Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Igor Gadelha; Geraldo Ramos; Eddie Hsu; Hugo Rodrigues; Fabian-Robert Stöter; Alexandre Défossez; et al. (Trans. Int. Soc. Music. Inf. Retr., 2024)

Variable Bitrate Residual Vector Quantization for Audio Coding. - Yunkee Chae; Woosung Choi; Yuhta Takida; Junghyun Koo; Yukara Ikemiya; Zhi Zhong; Kin Wai Cheuk; Marco A. Martínez Ramírez; Kyogu Lee; Wei-Hsiang Liao 001; Yuki Mitsufuji (ICASSP, 2025)

Music Foundation Model as Generic Booster for Music Downstream Tasks. - Wei-Hsiang Liao 001; Yuhta Takida; Yukara Ikemiya; Zhi Zhong; Chieh-Hsin Lai; Giorgio Fabbro; Kazuki Shimada; Keisuke Toyama 002; Kin Wai Cheuk; Marco A. Martínez Ramírez; Shusuke Takahashi; Stefan Uhlich; et al. (Trans. Mach. Learn. Res., 2025)

SteerMusic: Enhanced Musical Consistency for Zero-shot Text-Guided and Personalized Music Editing. - Xinlei Niu; Kin Wai Cheuk; Jing Zhang 052; Naoki Murata; Chieh-Hsin Lai; Michele Mancusi; Woosung Choi; Giorgio Fabbro; Wei-Hsiang Liao 001; Charles Patrick Martin; Yuki Mitsufuji (CoRR, 2025)

A Comprehensive Real-World Assessment of Audio Watermarking Algorithms: Will They Survive Neural Codecs? - Yigitcan Özer; Woosung Choi; Joan Serrà; Mayank Kumar Singh; Wei-Hsiang Liao 001; Yuki Mitsufuji (CoRR, 2025)

Large-Scale Training Data Attribution for Music Generative Models via Unlearning. - Woosung Choi; Junghyun Koo; Kin Wai Cheuk; Joan Serrà; Marco A. Martínez Ramírez; Yukara Ikemiya; Naoki Murata; Yuhta Takida; Wei-Hsiang Liao 001; Yuki Mitsufuji (CoRR, 2025)

Concept-TRAK: Understanding how diffusion models learn concepts through concept-level attribution. - Yong-Hyun Park; Chieh-Hsin Lai; Satoshi Hayakawa; Yuhta Takida; Naoki Murata; Wei-Hsiang Liao 001; Woosung Choi; Kin Wai Cheuk; Junghyun Koo; Yuki Mitsufuji (CoRR, 2025)