| 2026 | EACL | Using a Human-AI Teaming Approach to Create and Curate Scientific Datasets with the SciLire System. | Necva Blc, Jessica Irons, Changhyun Lee, Brian Jin, Maciej Rybinski, Huichen Yang, Andreas Duenser, Stephen Wan |
| 2026 | ICTIR | To Believe or Not To Believe: Comparing Supporting Information Tools to Aid Human Judgments of AI Veracity. | Jessica Irons, Patrick S. Cooper, Necva Blc, Andreas Duenser, Roelien C. Timmer, Huichen Yang, Changhyun Lee, Brian Jin, Stephen Wan |
| 2026 | SIGIR | RegionSLM: Region-aware Question Answering on Document Screenshots. | Chao Wang, Hehe Fan, Huichen Yang, Sarvnaz Karimi, Lina Yao, Yi Yang |
| 2025 | CIKM | PEQQS: a Dataset for Probing Extractive Quantity-focused Question Answering from Scientific Literature. | Maciej Rybinski, Necva Blc, Huichen Yang, Stephen Wan |
| 2025 | CVPR | Adapting Text-to-Image Generation with Feature Difference Instruction for Generic Image Restoration. | Chao Wang, Hehe Fan, Huichen Yang, Sarvnaz Karimi, Lina Yao, Yi Yang |
| 2023 | ISI | Context-Augmented Key Phrase Extraction from Short Texts for Cyber Threat Intelligence Tasks. | Avishek Bose, Huichen Yang, Marissa Shivers, Ahat Orazgeldiyev, William H. Hsu |
| 2022 | ICIP | Transformer-Based Approach for Document Layout Understanding. | Huichen Yang, William H. Hsu |
| 2022 | IJCNLP | PIEKM: ML-based Procedural Information Extraction and Knowledge Management System for Materials Science Literature. | Huichen Yang |
| 2021 | AAAI | Named Entity Recognition from Synthesis Procedural Text in Materials Science Domain with Attention-Based Approach. | Huichen Yang, William H. Hsu |
| 2021 | ICMV | Automatic metadata information extraction from scientific literature using deep neural networks. | Huichen Yang, William H. Hsu |
| 2020 | ICPR | Vision-Based Layout Detection from Scientific Literature using Recurrent Convolutional Neural Networks. | Huichen Yang, William H. Hsu |
| 2019 | ICDAR | Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science. | Huichen Yang, Alice Lam, Thomas Yong-Jin Han, David Buttler, William H. Hsu, Carlos A. Aguirre, Maria F. De La Torre, Derek Christensen, Luis Bobadilla, Emily Davich, Jordan Roth, Lei Luo, Yihong Theis |