Guang Yang

Guang Yang

PhD Student · University of Washington

I'm a PhD student at the University of Washington’s Paul G. Allen School of Computer Science & Engineering, where I'm fortunate to be advised by Prof. Noah A. Smith. My research focuses on multimodal learning and evaluation. I’m also interested in interaction models and computer-use agents (CUA). Before joining UW, I studied in the Yao Class at Tsinghua University, where I worked under the guidance of Zhilin Yang and Zhiyuan Liu.

Not this Guang Yang?

I can’t take credit for all the great work by Guang Yang. You might be looking for:

  • Guang Yang (杨光) — We both studied in Tsinghua's Yao Class (2006–2010 for him, 2019–2023 for me). He works on cryptography and blockchain; I work on multimodal learning.
  • Stanley Yang / Guang Yang (杨光) — We share a connection to UW CSE. He studied there as an undergraduate (2022–2026) and has worked at Amazon; I joined the PhD program in 2023.
  • Guang Yang (杨珖) — We both competed in informatics olympiads (OI) and studied in Tsinghua's Yao Class (2022– for him, 2019–2023 for me). Our names sound the same in Chinese, but his given name is written 珖, while mine is 光.

News

Publication

LEGATO 2: Toward Multimodal Sheet Music Recognition and Understanding

Guang Yang*, Brian Siyuan Zheng*, Victoria Ebert, Noah A. Smith

NeurIPS · 2026 (* equal contribution)

LEGATO: Large-scale End-to-end Generalizable Approach to Typeset OMR

Guang Yang, Victoria Ebert, Nazif Can Tamer, Brian Siyuan Zheng, Luiza Amador Pozzobon, Noah A. Smith

ICLR · 2026

HERA: Harness-Environment Co-Evolution for Reliable Agentic Abstention

Han Luo*, Bingbing Wen*, Guang Yang, Zora Zhiruo Wang, Pan Lu, Lucy Lu Wang

arXiv preprint · 2026 (* equal contribution)

BoNVoyage: Learning Better Rewards without Ranking

Gonçalo Faria, Guang Yang, Alisa Liu, Noah A. Smith

COLM 2026 Workshop · Sci-FM

Rubric-Based Optimization for Text-to-Music Generation

Ping Wang*, Guang Yang*, Shao-Rong Su*, Junkai Wu, Pang Wei Koh, Noah A. Smith

arXiv preprint · 2026 (* equal contribution)

MMMG: A Comprehensive and Reliable Benchmark for Multitask Multimodal Generation

Jihan Yao*, Yushi Hu*, Wenyuan Wang, Bin Han, Shangbin Feng, Guang Yang, Yujie Yi, Bingbing Wen, Ranjay Krishna, Lucy Lu Wang, Yulia Tsvetkov, Noah A. Smith, Banghua Zhu

COLM · 2026 (* equal contribution)

Rubato: Transcribing Piano Music with Timestamps

Nazif Can Tamer, Victoria Ebert, Guang Yang, Noah A. Smith

NeurIPS · 2026 · Spotlight

A Dual Evaluation for Music Transcription

Ping Wang, Guang Yang, Nazif Can Tamer, Victoria Ebert, Noah A. Smith

arXiv preprint · 2026

Toward a More Complete OMR Solution

Guang Yang, Muru Zhang, Lin Qiu, Yanming Wan, Noah A. Smith

ISMIR · 2024

Video Event Extraction via Tracking Visual States of Arguments

Guang Yang, Manling Li, Jiajie Zhang, Xudong Lin, Heng Ji, Shih-Fu Chang

AAAI · 2023

Parameter-efficient fine-tuning of large-scale pre-trained language models

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

Nature Machine Intelligence · 2023 · Cover Article (* equal contribution)