| 2024 | EMNLP | A Survey on Detection of LLMs-Generated Content. | Xianjun Yang, Liangming Pan, Xuandong Zhao, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng |
| 2023 | ACL | Few-Shot Document-Level Event Argument Extraction. | Xianjun Yang, Yujie Lu, Linda R. Petzold |
| 2023 | ACL | OASum: Large-Scale Open Domain Aspect-based Summarization. | Xianjun Yang, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Xiaoman Pan, Linda R. Petzold, Dong Yu |
| 2022 | EMNLP | PcMSP: A Dataset for Scientific Action Graphs Extraction from Polycrystalline Materials Synthesis Procedure Text. | Xianjun Yang, Ya Zhuo, Julia Zuo, Xinlu Zhang, Stephen D. Wilson, Linda R. Petzold |
| 2022 | IJCNN | Robust and integrative Bayesian neural networks for likelihood-free parameter inference. | Fredrik Wrede, Robin Eriksson, Richard M. Jiang, Linda R. Petzold, Stefan Engblom, Andreas Hellander, Prashant Singh |
| 2020 | ICDM | How Much Does It Hurt: A Deep Learning Framework for Chronic Pain Score Assessment. | Yun Zhao, Franklin Ly, Qinghang Hong, Zhuowei Cheng, Tyler Santander, Henry T. Yang, Paul K. Hansma, Linda R. Petzold |
| 2017 | ICDE | Survival Topic Models for Predicting Outcomes for Trauma Patients. | Yuanyang Zhang, Richard M. Jiang, Linda R. Petzold |
| 2016 | ICDM | What Drives Consumer Choices? Mining Aspects and Opinions on Large Scale Review Data Using Distributed Representation of Words. | Kasturi Bhattacharjee, Linda R. Petzold |
| 2015 | ICDM | A Cure Time Model for Joint Prediction of Outcome and Time-to-Outcome. | Yuanyang Zhang, Bernie J. Daigle Jr., Mitchell J. Cohen, Linda R. Petzold |
| 2012 | CCGRID | Reducing Complexity in Management of eScience Computations. | Per-Olov stberg, Andreas Hellander, Brian Drawert, Erik Elmroth, Sverker Holmgren, Linda R. Petzold |
| 2012 | SC | Stochastic Simulation Service: Towards an Integrated Development Environment for Modeling and Simulation of Stochastic Biochemical Systems. | Linda R. Petzold, Chandra Krintz |