Guang Yang

Guang Yang

PhD Student

University of Washington



I’m a third-year PhD student at Paul G. Allen School of Computer Science & Engineering, University of Washington, advised by Prof. Noah Smith.

My research interests center on:

  • multimodal learning, with a focus on both understanding and generating content from images and videos;
  • multimodality in music, particularly on images (music score pictures), symbolic data (structured music scores), and their relationship with natural language.

Please feel free to contact me for potential collaborations.

Previously, I was an undergraduate at Yao Class, Tsinghua University.

Recent Publications

Quickly discover relevant content by filtering publications.
Guang Yang, Victoria Ebert, Nazif Tamer, Brian Siyuan Zheng, Luiza Pozzobon, Noah A. Smith (2025). LEGATO: Large-scale End-to-end Generalizable Approach to Typeset OMR.

Cite arXiv URL

Jihan Yao, Yushi Hu, Yujie Yi, Bin Han, Shangbin Feng, Guang Yang, Bingbing Wen, Ranjay Krishna, Lucy Lu Wang, Yulia Tsvetkov, Noah A. Smith, Banghua Zhu (2025). MMMG: a Comprehensive and Reliable Evaluation Suite for Multitask Multimodal Generation.

Cite arXiv URL

Guang Yang, Muru Zhang, Lin Qiu, Yanming Wan, Noah A. Smith (2024). Toward a More Complete OMR Solution. Proceedings of the 25th International Society for Music Information Retrieval Conference.

Cite DOI URL

Guang Yang, Manling Li, Jiajie Zhang, Xudong Lin, Heng Ji, Shih-Fu Chang (2023). Video Event Extraction via Tracking Visual States of Arguments. Proceedings of the AAAI Conference on Artificial Intelligence.

Cite DOI URL

Ning Ding*, Yujia Qin*, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun (2023). Parameter-efficient fine-tuning of large-scale pre-trained language models. Nature Machine Intelligence.

Cite DOI URL