| 2026 | ACL | Position: From Noise to Signal to Selbstzweck - Reframing Human Label Variation in the Era of Post-training in NLP. | Shanshan Xu, T. Y. S. S. Santosh, Barbara Plank |
| 2024 | ACL | Through the Lens of Split Vote: Exploring Disagreement, Difficulty and Calibration in Legal Case Outcome Classification. | Shanshan Xu, T. Y. S. S. Santosh, Oana Ichim, Barbara Plank, Matthias Grabmair |
| 2024 | EMNLP | The Craft of Selective Prediction: Towards Reliable Case Outcome Classification - An Empirical Study on European Court of Human Rights Cases. | T. Y. S. S. Santosh, Irtiza Chowdhury, Shanshan Xu, Matthias Grabmair |
| 2023 | EMNLP | From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification. | Shanshan Xu, T. Y. S. S. Santosh, Oana Ichim, Isabella Risini, Barbara Plank, Matthias Grabmair |
| 2023 | EMNLP | VECHR: A Dataset for Explainable and Robust Classification of Vulnerability Type in the European Court of Human Rights. | Shanshan Xu, Leon Staufer, T. Y. S. S. Santosh, Oana Ichim, Corina Heri, Matthias Grabmair |
| 2023 | ICAIL | Uncovering Trauma in Genocide Tribunals: An NLP Approach Using the Genocide Transcript Corpus. | Miriam Schirmer, Isaac Misael Olgun Nolasco, Edoardo Mosca, Shanshan Xu, Jrgen Pfeffer |
| 2022 | EMNLP | Extractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevance. | Abhishek Agarwal, Shanshan Xu, Matthias Grabmair |
| 2022 | EMNLP | Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Experts. | Tokala Yaswanth Sri Sai Santosh, Shanshan Xu, Oana Ichim, Matthias Grabmair |
| 2022 | LREC | The Chinese Causative-Passive Homonymy Disambiguation: an adversarial Dataset for NLI and a Probing Task. | Shanshan Xu, Katja Markert |
| 2021 | HPCC | A Highly Efficient Profiled Power Analysis Attack Based on Power Leakage Fitting. | Yuanzhi Li, Shanshan Xu, Yuling Luo, Sheng Qin, Shunsheng Zhang, Min Su |
| 2016 | ICIP | Visual tracking by the combination of global detector and local image patch matching. | Li Sun, Kai Qu, Shanshan Xu, Song Qiu |
| 2011 | ICONIP | Research on a RBF Neural Network in Stereo Matching. | Sheng Xu, Ning Ye, Fa Zhu, Shanshan Xu, Liuliu Zhou |
| 2007 | ICASSP | Sequential Estimation by Combined cost-Reference Particle and Kalman Filtering. | Shanshan Xu, Mnica F. Bugallo, Petar M. Djuric |
| 2006 | ICASSP | Maneuvering Target Tracking with Simplified Cost Reference Particle Filters. | Shanshan Xu, Mnica F. Bugallo, Petar M. Djuric |
| 2005 | ICASSP | Joint estimation of states and transition functions of dynamic systems using cost-reference particle filtering. | Joaqun Mguez, Shanshan Xu, Mnica F. Bugallo, Petar M. Djuric |
| 2004 | ICASSP | Maneuvering target tracking using cost reference particle filtering. | Mnica F. Bugallo, Shanshan Xu, Joaqun Mguez, Petar M. Djuric |