Matthew Kuo

According to our database, Matthew Kuo authored at least 7 papers between 2021 and 2026.

Collaborative distances:

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

2026

Depth-Structured Music Recurrence: Budgeted Recurrent Attention for Full-Piece Symbolic Music Modeling.

Yungang Yi, Weihua Li, Matthew Kuo, Catherine Shi, Quan Bai

CoRR, February, 2026

2025

A Pretraining Approach for Small-sample Training Employing Radiographs (PASTER): a Multimodal Transformer Trained by Chest Radiography and Free-text Reports.

Kai-Chieh Chen, Matthew Kuo, Chun-Ho Lee, Hao-Chun Liao, Dung-Jang Tsai, Shing-An Lin, Chih-Wei Hsiang, Cheng-Kuang Chang, Kai-Hsiung Ko, Yi-Chih Hsu, Wei-Chou Chang, Guo-Shu Huang, Wen-Hui Fang, Chin-Sheng Lin, Shih-Hua Lin, Yuan-Hao Chen, Yi-Jen Hung, Chien-Sung Tsai, Chin Lin

J. Medical Syst., December, 2025

ESCA: Contextualizing Embodied Agents via Scene-Graph Generation.

Jiani Huang, Amish Sethi, Matthew Kuo, Mayank Keoliya, Neelay Velingker, JungHo Jung, Ser-Nam Lim, Ziyang Li, Mayur Naik

CoRR, October, 2025

Multi-Level Representation of Long MIDI Sequences: Integrating Bar-Level Encoding with Music-Level Context.

Yuelang Sun, Guan Wang, Weihua Li, Matthew Kuo, Quan Bai, Jianhua Jiang

Proceedings of the IEEE Congress on Evolutionary Computation, 2025

2024

PerceiverS: A Multi-Scale Perceiver with Effective Segmentation for Long-Term Expressive Symbolic Music Generation.

Yungang Yi, Weihua Li, Matthew Kuo, Quan Bai

CoRR, 2024

Emotion-Conditioned MusicLM: Enhancing Emotional Resonance in Music Generation.

Yuelang Sun, Matthew Kuo, Xiaodan Wang, Weihua Li, Quan Bai

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2021

Study on Mask R-CNN with Data Augmentation for Retail Product Detection.

Matthew Kuo, Hung-Tse Chan, Chih-Hsien Hsia

Proceedings of the International Symposium on Intelligent Signal Processing and Communication Systems, 2021