TWEET-FID: An Annotated Dataset for Multiple Foodborne Illness Detection Tasks. - Ruofan Hu 001; Dongyu Zhang; Dandan Tao; Thomas Hartvigsen; Hao Feng; Elke A. Rundensteiner (LREC, 2022)

UCE-FID: Using Large Unlabeled, Medium Crowdsourced-Labeled, and Small Expert-Labeled Tweets for Foodborne Illness Detection. - Ruofan Hu 001; Dongyu Zhang; Dandan Tao; Huayi Zhang; Hao Feng; Elke A. Rundensteiner (IEEE Big Data, 2023)

LLM-based Hierarchical Label Annotation for Foodborne Illness Detection on Social Media. - Dongyu Zhang; Ruofan Hu 001; Dandan Tao; Hao Feng; Elke A. Rundensteiner (IEEE Big Data, 2024)

Leveraging LLMs for Integrated Sentiment and Topic Analysis on African Social Media. - Harriet Sibitenda; Ruofan Hu 001; Elke A. Rundensteiner; Awa Diattara; Assitan Traore; Cheikh Ba (ICMLA, 2024)

CoLafier: Collaborative Noisy Label Purifier With Local Intrinsic Dimensionality Guidance. - Dongyu Zhang; Ruofan Hu 001; Elke A. Rundensteiner (SDM, 2024)

Extracting Semantic Topics About Development in Africa From Social Media. - Harriet Sibitenda; Awa Diattara; Assitan Traore; Ruofan Hu 001; Dongyu Zhang; Elke A. Rundensteiner; Cheikh Ba (IEEE Access, 2024)

CLID-MU: Cross-Layer Information Divergence Based Meta Update Strategy for Learning with Noisy Labels. - Ruofan Hu 001; Dongyu Zhang; Huayi Zhang; Elke A. Rundensteiner (CoRR, 2025)