Publications

2025

Ximing Wen, Wenjuan Tan, Rosina Weber. GAProtoNet: A Multi-head Graph Attention-based Prototypical Network for Interpretable Text Classification. In Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025). [pdf]

Ximing Wen. Language model meets prototypes: Towards interpretable text classification models through prototypical networks. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2025). [pdf]

Ximing Wen, M. Mainali, A. Sen. How well can vision-language models understand humans’ intention? An open-ended Theory of Mind question evaluation benchmark. In Proceedings of the AAAI Conference on Theory of Mind Workshop 2025 (ToM4AI 2025). [pdf]

2024

Ximing Wen, Rosina Weber, Samer Hannan, Scott C. Nesbit, Qiao Zhang, Alberto Goffi, Vincent Chan, et al. The Impact of an XAI-Augmented Approach on Binary Classification with Scarce Data. In Proceedings of 2024 IJCAI Workshop on Explainable Artificial Intelligence (XAI@IJCAI 2024). [pdf]

Samer Hannan, Scott C. Nesbit, Ximing Wen, Gabriel Smith, Qiao Zhang, Alberto Goffi, Vincent Chan, et al. Interpretable Models for Detecting and Monitoring Elevated Intracranial Pressure. In Proceedings of 2024 IEEE 19th International Symposium on Biomedical Imaging (ISBI 2024). [pdf]

2023

Samer Hannan, Scott C. Nesbit, Ximing Wen, Gabriel Smith, Qiao Zhang, Alberto Goffi, Vincent Chan, et al. MobilePTX: Sparse Coding for Pneumothorax Detection Given Limited Training Examples. In Proceedings of the Thirty-Fifth Annual Conference on Innovative Application of Artificial Intelligence (AAAI 2023). [pdf]

2021

Zhilan Zhou, Ximing Wen, Yue Wang, David Gotz. Modeling and leveraging analytic focus during exploratory visual analysis. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI 2021). [pdf]