I am a third-year Ph.D. student in Computer Science at the University of Maryland, College Park, working with Prof. Heng Huang. Previously, I obtained my B.S. degree at Peking University in Intelligence Science and Technology, School of Electronics Engineering and Computer Science. I was fortunate to work with Prof. Xu Sun during my undergraduate study. I am interested in building stronger large language models and vision-language models, alongside efforts to enhance their reliability and ensure safe use.

I’m always happy to connect! Feel free to email me if you’re interested in my research or possible collaborations!

Preprints

Improving Text-to-Image Generation with Input-Side Inference-Time Scaling
Ruibo Chen*, Jiacheng Pan*, Heng Huang, Zhenheng Yang
arXiv, 2025

An Ensemble Framework for Unbiased Language Model Watermarking
Ruibo Chen*, Yihan Wu*, Georgios Milis, Heng Huang
arXiv, 2025 [Paper]

Leave No TRACE: Black-box Detection of Copyrighted Dataset Usage in Large Language Models via Watermarking
Jingqi Zhang*, Ruibo Chen*, Yingqing Yang, Peihua Mai, Heng Huang, Yan Pang
arXiv, 2025 [Paper]

Model Correlation Detection via Random Selection Probing
Ruibo Chen, Sheng Zhang, Yihan Wu, Tong Zheng, Peihua Mai, Heng Huang
arXiv, 2025 [Paper]

Publications

Robust Distortion-Free Watermark for Autoregressive Audio Generation Models
Yihan Wu*, Georgios Milis*, Ruibo Chen*, Heng Huang
NeurIPS, 2025 [Paper]

Improved Unbiased Watermark for Large Language Models
Ruibo Chen*, Yihan Wu*, Junfeng Guo, Heng Huang
ACL, 2025 [Paper, Code]

De-mark: Watermark Removal in Large Language Models
Ruibo Chen*, Yihan Wu*, Junfeng Guo, Heng Huang
ICML, 2025 [Paper, Code]

A Watermark for Order-Agnostic Language Models
Ruibo Chen*, Yihan Wu*, Yanshuo Chen, Chenxi Liu, Junfeng Guo, Heng Huang
ICLR, 2025 [Paper]

A Watermark for Auto-Regressive Speech Generation Models
Yihan Wu*, Ruibo Chen*, Georgios Milis*, Junfeng Guo, Heng Huang
Interspeech, 2025 (Oral). [Paper]

Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection
Ruibo Chen, Yihan Wu, Lichang Chen, Guodong Liu, Qi He, Tianyi Xiong, Chenxi Liu, Junfeng Guo, Heng Huang
ACL Findings, 2024 [Paper, Code, Models&Datasets]

ZeroMark: Towards Dataset Ownership Verification without Disclosing Dataset-specified Watermarks
Junfeng Guo*, Yiming Li*, Ruibo Chen, Yihan Wu, Chenxi Liu, Heng Huang
NeurIPS, 2024 [Paper, Code]

Enhancing Biosecurity with Watermarked Protein Design
Yanshuo Chen*, Zhengmian Hu*, Yihan Wu, Ruibo Chen, Yongrui Jin, Marcus Zhan, Wei Chen, Heng Huang
Bioinformatics, 2025 [Paper, Code]

Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt
Chenxi Liu, Zhenyi Wang, Tianyi Xiong, Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang
ECCV, 2024 [Paper, Code]

Incorporating Pre-trained Model Prompting in Multimodal Stock Volume Movement Prediction
Ruibo Chen, Zhiyuan Zhang, Yi Liu, Ruihan Bao, Keiki Harimoto, Xu Sun
KDD Workshop on Machine Learning in Finance, 2023 [Paper, Code]

Stock Trading Volume Prediction with Dual-Process Meta-Learning
Ruibo Chen, Wei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun
Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), 2023 (Oral) [Paper, Code]

Experiences

Research Scientist Intern at TikTok, Feb. 2025 - Dec. 2025

Selected Honors and Awards

Dean’s Fellowship, University of Maryland, College Park, 2023-2025
Outstanding Graduates of Beijing, 2023
Outstanding Graduates of Peking University, 2023
National Scholarship, Ministry of Education, China 2022