UF Data Studio Publications

Browse publications by year
Pre 2023 | 2023 | 2024
πŸ“• = conference | πŸ“œ = poster


Yang Bai, Anthony Colas, Christan Grant, Daisy Zhe Wang. M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence Retrieval. The Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING). Torino, Italy. 2024. πŸ“•

Amy Wu, Morgan Cobb, Victor Perez, Christan Grant, Jeremy Waisome. Guided Undergraduate Training for Shark Segmentation (GUTSS). A Poster in the 55th ACM Technical Symposium on Computer Science Education (SIGSCE). Portland, Oregon. 2024. πŸ“œ [pdf] [bib]


Chen Zhao, Kai Jiang, Xintao Wu, Haoliang Wang, Latifur Khan, Christan Grant, Feng Chen. Fairness-Aware Domain Generalization under Covariate and Dependence Shifts. ArXiv Machine Learning. 2023. [pdf]

Chenguang Xu, Sarah M Brown, Christan Grant, Chris Weaver. Hybrid Tree Visualizations for Analysis of Gerrymandering. International Symposium on Visual Computing (ISVC). Lake Tahoe, NV, USA. 2023. πŸ“• [pdf] [slides] [bib]

Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Christan Grant, Feng Chen. Towards Fair Disentangled Online Learning for Changing Environments. In the Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). Long Beach, CA. 2023. πŸ“• [pdf] [bib]

Yan Liang, Christan Grant. TAED: Topic-Aware Event Detection. The 64th International Studies Association Annual Convention (ISA). MontrΓ©al, QuΓ©bec, Canada. 2023. πŸ“•

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