| 2026 | AAAI | Flow-Induced Diagonal Gaussian Processes. | Moule Lin, Andrea Patane, Weipeng Jing, Shuhao Guan, Goetz Botterweck |
| 2026 | ACL | LiveFact: A Dynamic, Time-Aware Benchmark for LLM-Driven Fake News Detection. | Cheng Xu, Changhong Jin, Yingjie Niu, Nan Yan, Yuke Mei, Shuhao Guan, Liming Chen, M. Tahar Kechadi |
| 2025 | ACL | PreP-OCR: A Complete Pipeline for Document Image Restoration and Enhanced OCR Accuracy. | Shuhao Guan, Moule Lin, Cheng Xu, Xinyi Liu, Jinman Zhao, Jiexin Fan, Qi Xu, Derek Greene |
| 2025 | ACL | UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large Models. | Xueyan Zhang, Jinman Zhao, Zhifei Yang, Yibo Zhong, Shuhao Guan, Linbo Cao, Yining Wang |
| 2025 | AISTATS | Stochastic Weight Sharing for Bayesian Neural Networks. | Moule Lin, Shuhao Guan, Weipeng Jing, Goetz Botterweck, Andrea Patane |
| 2025 | EMNLP | CLEAR: A Framework Enabling Large Language Models to Discern Confusing Legal Paragraphs. | Qi Xu, Qian Liu, Hao Fei, Hang Yu, Shuhao Guan, Xiao Wei |
| 2025 | EMNLP | DCR: Quantifying Data Contamination in LLMs Evaluation. | Cheng Xu, Nan Yan, Shuhao Guan, Changhong Jin, Yuke Mei, Yibing Guo, M. Tahar Kechadi |
| 2025 | EMNLP | SSA: Semantic Contamination of LLM-Driven Fake News Detection. | Cheng Xu, Nan Yan, Shuhao Guan, Yuke Mei, M. Tahar Kechadi |
| 2024 | ACL | Advancing Post-OCR Correction: A Comparative Study of Synthetic Data. | Shuhao Guan, Derek Greene |
| 2024 | ECAI | Synthetically Augmented Self-Supervised Fine-Tuning for Diverse Text OCR Correction. | Shuhao Guan, Derek Greene |
| 2024 | EMNLP | Effective Synthetic Data and Test-Time Adaptation for OCR Correction. | Shuhao Guan, Cheng Xu, Moule Lin, Derek Greene |