Shih-Lun Wu

According to our database, Shih-Lun Wu authored at least 15 papers between 2020 and 2023.

Collaborative distances:

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

2023

System Verification and Runtime Monitoring with Multiple Weakly-Hard Constraints.

Yi-Ting Hsieh, Tzu-Tao Chang, Chen-Jun Tsai, Shih-Lun Wu, Ching-Yuan Bai, Kai-Chieh Chang, Chung-Wei Lin, Eunsuk Kang, Chao Huang, Qi Zhu

ACM Trans. Cyber Phys. Syst., July, 2023

Theme Transformer: Symbolic Music Generation With Theme-Conditioned Transformer.

Yi-Jen Shih, Shih-Lun Wu, Frank Zalkow, Meinard Müller, Yi-Hsuan Yang

IEEE Trans. Multim., 2023

MuseMorphose: Full-Song and Fine-Grained Piano Music Style Transfer With One Transformer VAE.

Shih-Lun Wu, Yi-Hsuan Yang

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Music ControlNet: Multiple Time-varying Controls for Music Generation.

Shih-Lun Wu, Chris Donahue, Shinji Watanabe, Nicholas J. Bryan

CoRR, 2023

Improving Audio Captioning Models with Fine-grained Audio Features, Text Embedding Supervision, and LLM Mix-up Augmentation.

Shih-Lun Wu, Xuankai Chang, Gordon Wichern, Jee-weon Jung, François G. Germain, Jonathan Le Roux, Shinji Watanabe

CoRR, 2023

Compose & Embellish: Well-Structured Piano Performance Generation via A Two-Stage Approach.

Shih-Lun Wu, Yi-Hsuan Yang

Proceedings of the IEEE International Conference on Acoustics, 2023

E-Branchformer-Based E2E SLU Toward Stop on-Device Challenge.

Yosuke Kashiwagi, Siddhant Arora, Hayato Futami, Jessica Huynh, Shih-Lun Wu, Yifan Peng, Brian Yan, Emiru Tsunoo, Shinji Watanabe

Proceedings of the IEEE International Conference on Acoustics, 2023

The Pipeline System of ASR and NLU with MLM-based data Augmentation Toward Stop Low-Resource Challenge.

Hayato Futami, Jessica Huynh, Siddhant Arora, Shih-Lun Wu, Yosuke Kashiwagi, Yifan Peng, Brian Yan, Emiru Tsunoo, Shinji Watanabe

Proceedings of the IEEE International Conference on Acoustics, 2023

A Study on the Integration of Pipeline and E2E SLU Systems for Spoken Semantic Parsing Toward Stop Quality Challenge.

Siddhant Arora, Hayato Futami, Shih-Lun Wu, Jessica Huynh, Yifan Peng, Yosuke Kashiwagi, Emiru Tsunoo, Brian Yan, Shinji Watanabe

Proceedings of the IEEE International Conference on Acoustics, 2023

Listener Model for the PhotoBook Referential Game with CLIPScores as Implicit Reference Chain.

Shih-Lun Wu, Yi-Hui Chou, Liangze Li

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2021

MuseMorphose: Full-Song and Fine-Grained Music Style Transfer with Just One Transformer VAE.

Shih-Lun Wu, Yi-Hsuan Yang

CoRR, 2021

Relative Positional Encoding for Transformers with Linear Complexity.

Antoine Liutkus, Ondrej Cífka, Shih-Lun Wu, Umut Simsekli, Yi-Hsuan Yang, Gaël Richard

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Efficient System Verification with Multiple Weakly-Hard Constraints for Runtime Monitoring.

Shih-Lun Wu, Ching-Yuan Bai, Kai-Chieh Chang, Yi-Ting Hsieh, Chao Huang, Chung-Wei Lin, Eunsuk Kang, Qi Zhu

Proceedings of the Runtime Verification - 20th International Conference, 2020

The Jazz Transformer on the Front Line: Exploring the Shortcomings of AI-composed Music through Quantitative Measures.

Shih-Lun Wu, Yi-Hsuan Yang

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Deep Learning for Automatic Quality Grading of Mangoes: Methods and Insights.

Shih-Lun Wu, Hsiao-Yen Tung, Yu-Lun Hsu

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020