Deep Learning for Automatic Quality Grading of Mangoes: Methods and Insights. - Shih-Lun Wu; Hsiao-Yen Tung; Yu-Lun Hsu (ICMLA, 2020)

The Jazz Transformer on the Front Line: Exploring the Shortcomings of AI-composed Music through Quantitative Measures. - Shih-Lun Wu; Yi-Hsuan Yang (ISMIR, 2020)

Efficient System Verification with Multiple Weakly-Hard Constraints for Runtime Monitoring. - Shih-Lun Wu; Ching-Yuan Bai; Kai-Chieh Chang; Yi-Ting Hsieh 002; Chao Huang 015; Chung-Wei Lin; Eunsuk Kang; Qi Zhu 002 (RV, 2020)

Relative Positional Encoding for Transformers with Linear Complexity. - Antoine Liutkus; Ondrej Cífka; Shih-Lun Wu; Umut Simsekli; Yi-Hsuan Yang; Gaël Richard (ICML, 2021)

MuseMorphose: Full-Song and Fine-Grained Music Style Transfer with Just One Transformer VAE. - Shih-Lun Wu; Yi-Hsuan Yang (CoRR, 2021)

Listener Model for the PhotoBook Referential Game with CLIPScores as Implicit Reference Chain. - Shih-Lun Wu; Yi-Hui Chou; Liangze Li (ACL (2), 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 003; Yosuke Kashiwagi; Emiru Tsunoo; Brian Yan; Shinji Watanabe 001 (ICASSP, 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 003; Brian Yan; Emiru Tsunoo; Shinji Watanabe 001 (ICASSP, 2023)

E-Branchformer-Based E2E SLU Toward Stop on-Device Challenge. - Yosuke Kashiwagi; Siddhant Arora; Hayato Futami; Jessica Huynh; Shih-Lun Wu; Yifan Peng 003; Brian Yan; Emiru Tsunoo; Shinji Watanabe 001 (ICASSP, 2023)

Compose & Embellish: Well-Structured Piano Performance Generation via A Two-Stage Approach. - Shih-Lun Wu; Yi-Hsuan Yang (ICASSP, 2023)

Tensor decomposition for minimization of E2E SLU model toward on-device processing. - Yosuke Kashiwagi; Siddhant Arora; Hayato Futami; Jessica Huynh; Shih-Lun Wu; Yifan Peng 003; Brian Yan; Emiru Tsunoo; Shinji Watanabe 001 (INTERSPEECH, 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)

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)

System Verification and Runtime Monitoring with Multiple Weakly-Hard Constraints. - Yi-Ting Hsieh 002; Tzu-Tao Chang; Chen-Jun Tsai; Shih-Lun Wu; Ching-Yuan Bai; Kai-Chieh Chang; Chung-Wei Lin; Eunsuk Kang; Chao Huang 015; Qi Zhu 002 (ACM Trans. Cyber Phys. Syst., 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 001 (ICASSP, 2024)

Audio Prompt Adapter: Unleashing Music Editing Abilities for Text-to-Music With Lightweight Finetuning. - Fang-Duo Tsai; Shih-Lun Wu; Haven Kim; Bo-Yu Chen; Hao-Chung Cheng; Yi-Hsuan Yang (ISMIR, 2024)

Foundation Models for Music: A Survey. - Yinghao Ma; Anders Øland; Anton Ragni; Bleiz Macsen Del Sette; Charalampos Saitis; Chris Donahue; Chenghua Lin; Christos Plachouras; Emmanouil Benetos; Elio Quinton; Elona Shatri; Fabio Morreale; et al. (CoRR, 2024)

Music ControlNet: Multiple Time-Varying Controls for Music Generation. - Shih-Lun Wu; Chris Donahue; Shinji Watanabe 001; Nicholas J. Bryan (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Towards Codec-LM Co-design for Neural Codec Language Models. - Shih-Lun Wu; Aakash Lahoti; Arjun Desai; Karan Goel; Chris Donahue; Albert Gu (NAACL (Student Research Workshop), 2025)

Hookpad Aria: A Copilot for Songwriters. - Chris Donahue; Shih-Lun Wu; Yewon Kim; Dave B. Carlton; Ryan H. Miyakawa; John Thickstun (CoRR, 2025)

MuseControlLite: Multifunctional Music Generation with Lightweight Conditioners. - Fang-Duo Tsai; Shih-Lun Wu; Weijaw Lee; Sheng-Ping Yang; Bo-Rui Chen; Hao-Chung Cheng; Yi-Hsuan Yang (CoRR, 2025)