Wei-Hsiang Liao

According to our database, Wei-Hsiang Liao authored at least 45 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Woosung Choi, Kin Wai Cheuk, Junghyun Koo, Yuki Mitsufuji

CoRR, July, 2025

Fx-Encoder++: Extracting Instrument-Wise Audio Effects Representations from Mixtures.

Yen-Tung Yeh, Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Yi-Hsuan Yang, Yuki Mitsufuji

CoRR, July, 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, Yuki Mitsufuji

CoRR, June, 2025

ITO-Master: Inference-Time Optimization for Audio Effects Modeling of Music Mastering Processors.

Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Giorgio Fabbro, Michele Mancusi, Yuki Mitsufuji

CoRR, June, 2025

Can Large Language Models Predict Audio Effects Parameters from Natural Language?

Seungheon Doh, Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Juhan Nam, Yuki Mitsufuji

CoRR, May, 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, Yuki Mitsufuji

CoRR, May, 2025

Improving Inference-Time Optimisation for Vocal Effects Style Transfer with a Gaussian Prior.

Chin-Yun Yu, Marco A. Martínez Ramírez, Junghyun Koo, Wei-Hsiang Liao, Yuki Mitsufuji, György Fazekas

CoRR, May, 2025

DiffVox: A Differentiable Model for Capturing and Analysing Professional Effects Distributions.

Chin-Yun Yu, Marco A. Martínez Ramírez, Junghyun Koo, Ben Hayes, Wei-Hsiang Liao, György Fazekas, Yuki Mitsufuji

CoRR, April, 2025

SteerMusic: Enhanced Musical Consistency for Zero-shot Text-Guided and Personalized Music Editing.

Xinlei Niu, Kin Wai Cheuk, Jing Zhang, Naoki Murata, Chieh-Hsin Lai, Michele Mancusi, Woosung Choi, Giorgio Fabbro, Wei-Hsiang Liao, Charles Patrick Martin, Yuki Mitsufuji

CoRR, April, 2025

Cross-Modal Learning for Music-to-Music-Video Description Generation.

Zhuoyuan Mao, Mengjie Zhao, Qiyu Wu, Zhi Zhong, Wei-Hsiang Liao, Hiromi Wakaki, Yuki Mitsufuji

CoRR, March, 2025

Music Foundation Model as Generic Booster for Music Downstream Tasks.

Wei-Hsiang Liao, Yuhta Takida, Yukara Ikemiya, Zhi Zhong, Chieh-Hsin Lai, Giorgio Fabbro, Kazuki Shimada, Keisuke Toyama, Kin Wai Cheuk, Marco A. Martínez Ramírez, Shusuke Takahashi, Stefan Uhlich, Taketo Akama, Woosung Choi, Yuichiro Koyama, Yuki Mitsufuji

Trans. Mach. Learn. Res., 2025

HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning.

Ayano Hiranaka, Shang-Fu Chen, Chieh-Hsin Lai, Dongjun Kim, Naoki Murata, Takashi Shibuya, Wei-Hsiang Liao, Shao-Hua Sun, Yuki Mitsufuji

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer.

Michele Mancusi, Yurii Halychanskyi, Kin Wai Cheuk, Eloi Moliner, Chieh-Hsin Lai, Stefan Uhlich, Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Giorgio Fabbro, Yuki Mitsufuji

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

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, Yuki Mitsufuji

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

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, Igor Gadelha, Geraldo Ramos, Eddie Hsu, Hugo Rodrigues, Fabian-Robert Stöter, Alexandre Défossez, Yi Luo, Jianwei Yu, Dipam Chakraborty, Sharada P. Mohanty, Roman A. Solovyev, Alexander L. Stempkovskiy, Tatiana Habruseva, Nabarun Goswami, Tatsuya Harada, Minseok Kim, Jun Hyung Lee, Yuanliang Dong, Xinran Zhang, Jiafeng Liu, Yuki Mitsufuji

Trans. Int. Soc. Music. Inf. Retr., January, 2024

HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes.

Yuhta Takida, Yukara Ikemiya, Takashi Shibuya, Kazuki Shimada, Woosung Choi, Chieh-Hsin Lai, Naoki Murata, Toshimitsu Uesaka, Kengo Uchida, Wei-Hsiang Liao, Yuki Mitsufuji

Trans. Mach. Learn. Res., 2024

OpenMU: Your Swiss Army Knife for Music Understanding.

Mengjie Zhao, Zhi Zhong, Zhuoyuan Mao, Shiqi Yang, Wei-Hsiang Liao, Shusuke Takahashi, Hiromi Wakaki, 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, Yuki Mitsufuji

CoRR, 2024

Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning.

Ayano Hiranaka, Shang-Fu Chen, Chieh-Hsin Lai, Dongjun Kim, Naoki Murata, Takashi Shibuya, Wei-Hsiang Liao, Shao-Hua Sun, Yuki Mitsufuji

CoRR, 2024

LOCKEY: A Novel Approach to Model Authentication and Deepfake Tracking.

Mayank Kumar Singh, Naoya Takahashi, Wei-Hsiang Liao, Yuki Mitsufuji

CoRR, 2024

Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer.

Michele Mancusi, Yurii Halychanskyi, Kin Wai Cheuk, Chieh-Hsin Lai, Stefan Uhlich, Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Giorgio Fabbro, Yuki Mitsufuji

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, Koichi Saito, Chieh-Hsin Lai, Yuhta Takida, Wei-Hsiang Liao, Simon Dixon, Yuki Mitsufuji

CoRR, 2024

GRAFX: An Open-Source Library for Audio Processing Graphs in PyTorch.

Sungho Lee, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Stefan Uhlich, Giorgio Fabbro, Kyogu Lee, Yuki Mitsufuji

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, Marco A. Martínez Ramírez, Kin Wai Cheuk, Yuki Mitsufuji, Jyh-Shing Roger Jang, Yi-Hsuan Yang

CoRR, 2024

Searching For Music Mixing Graphs: A Pruning Approach.

Sungho Lee, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Stefan Uhlich, Giorgio Fabbro, Kyogu Lee, Yuki Mitsufuji

CoRR, 2024

Instruct-MusicGen: Unlocking Text-to-Music Editing for Music Language Models via Instruction Tuning.

Yixiao Zhang, Yukara Ikemiya, Woosung Choi, Naoki Murata, Marco A. Martínez Ramírez, Liwei Lin, Gus Xia, Wei-Hsiang Liao, Yuki Mitsufuji, Simon Dixon

CoRR, 2024

MR-MT3: Memory Retaining Multi-Track Music Transcription to Mitigate Instrument Leakage.

Hao Hao Tan, Kin Wai Cheuk, Taemin Cho, Wei-Hsiang Liao, Yuki Mitsufuji

CoRR, 2024

PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher.

Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Towards Assessing Data Replication in Music Generation With Music Similarity Metrics on Raw Audio.

Roser Batlle-Roca, Wei-Hsiang Liao, Xavier Serra, Yuki Mitsufuji, Emilia Gómez

Proceedings of the 25th International Society for Music Information Retrieval Conference, 2024

SilentCipher: Deep Audio Watermarking.

Mayank Kumar Singh, Naoya Takahashi, Wei-Hsiang Liao, Yuki Mitsufuji

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

MusicMagus: Zero-Shot Text-to-Music Editing via Diffusion Models.

Yixiao Zhang, Yukara Ikemiya, Gus Xia, Naoki Murata, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Yuki Mitsufuji, Simon Dixon

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion.

Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Yutong He, Yuki Mitsufuji, Stefano Ermon

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Manifold Preserving Guided Diffusion.

Yutong He, Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Dongjun Kim, Wei-Hsiang Liao, Yuki Mitsufuji, J. Zico Kolter, Ruslan Salakhutdinov, Stefano Ermon

Proceedings of the Twelfth International Conference on Learning Representations, 2024

VRDMG: Vocal Restoration via Diffusion Posterior Sampling with Multiple Guidance.

Carlos Hernandez-Olivan, Koichi Saito, Naoki Murata, Chieh-Hsin Lai, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Yuki Mitsufuji

Proceedings of the IEEE International Conference on Acoustics, 2024

Timbre-Trap: A Low-Resource Framework for Instrument-Agnostic Music Transcription.

Frank Cwitkowitz, Kin Wai Cheuk, Woosung Choi, Marco A. Martínez Ramírez, Keisuke Toyama, Wei-Hsiang Liao, Yuki Mitsufuji

Proceedings of the IEEE International Conference on Acoustics, 2024

On the Language Encoder of Contrastive Cross-modal Models.

Mengjie Zhao, Junya Ono, Zhi Zhong, Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Wei-Hsiang Liao, Takashi Shibuya, Hiromi Wakaki, Yuki Mitsufuji

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Automatic Piano Transcription With Hierarchical Frequency-Time Transformer.

Keisuke Toyama, Taketo Akama, Yukara Ikemiya, Yuhta Takida, Wei-Hsiang Liao, Yuki Mitsufuji

Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects.

Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Stefan Uhlich, Kyogu Lee, Yuki Mitsufuji

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Preventing oversmoothing in VAE via generalized variance parameterization.

Yuhta Takida, Wei-Hsiang Liao, Chieh-Hsin Lai, Toshimitsu Uesaka, Shusuke Takahashi, Yuki Mitsufuji

Neurocomputing, 2022

Automatic music mixing with deep learning and out-of-domain data.

Marco A. Martínez Ramírez, Wei-Hsiang Liao, Chihiro Nagashima, Giorgio Fabbro, Stefan Uhlich, Yuki Mitsufuji

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization.

Yuhta Takida, Takashi Shibuya, Wei-Hsiang Liao, Chieh-Hsin Lai, Junki Ohmura, Toshimitsu Uesaka, Naoki Murata, Shusuke Takahashi, Toshiyuki Kumakura, Yuki Mitsufuji

Proceedings of the International Conference on Machine Learning, 2022

Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks.

Bo-Yu Chen, Wei-Han Hsu, Wei-Hsiang Liao, Marco A. Martínez Ramírez, Yuki Mitsufuji, Yi-Hsuan Yang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Preventing Posterior Collapse Induced by Oversmoothing in Gaussian VAE.

Yuhta Takida, Wei-Hsiang Liao, Toshimitsu Uesaka, Shusuke Takahashi, Yuki Mitsufuji

CoRR, 2021

2015

Modelling and transformation of sound textures and environmental sounds. (Modélisation et transformation de textures sonores et des sons environnementaux).

Wei-Hsiang Liao

PhD thesis, 2015

2010

A SOT based digital audio coder using reference frame ordering method.

Yu-Lin Wang, Wei-Hsiang Liao, Alvin Wen-Yu Su

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010