| 2025 | CIKM | ActiViz: Understanding Sample Selection in Active Learning through Boundary Visualization. | Jie Chen, Honghui Du, Dairui Liu, Siteng Ma, Brian MacNamee, Ruihai Dong |
| 2025 | ECIR | DiffGR: A Discrete Diffusion-Based Model for Personalised Recommendation by Reconstructing User-Item Bipartite Graphs. | Zheng Ju, Honghui Du, Elias Z. Tragos, Neil Hurley, Aonghus Lawlor |
| 2025 | ICDM | Multi-Label Transfer Learning in Non-Stationary Data Streams. | Honghui Du, Leandro L. Minku, Aonghus Lawlor, Huiyu Zhou |
| 2025 | IJCNN | Is Complete Labeling Necessary? Understanding Active Learning in Longitudinal Medical Imaging. | Siteng Ma, Honghui Du, Prateek Mathur, Brendan S. Kelly, Ronan P. Killeen, Aonghus Lawlor, Ruihai Dong |
| 2025 | MICCAI | Spatial Aggregation for Semi-supervised Active Learning in 3D Medical Image Segmentation. | Siteng Ma, Honghui Du, Dairui Liu, Kathleen M. Curran, Aonghus Lawlor, Ruihai Dong |
| 2024 | ADBIS | Entity Matching with Large Language Models as Weak and Strong Labellers. | Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Erika Duriakova, Honghui Du, Neil Hurley, Aonghus Lawlor |
| 2024 | CIKM | RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models. | Dairui Liu, Boming Yang, Honghui Du, Derek Greene, Neil Hurley, Aonghus Lawlor, Ruihai Dong, Irene Li |
| 2024 | MICCAI | Adaptive Curriculum Query Strategy for Active Learning in Medical Image Classification. | Siteng Ma, Honghui Du, Kathleen M. Curran, Aonghus Lawlor, Ruihai Dong |
| 2024 | RecSys | Exploring Coresets for Efficient Training and Consistent Evaluation of Recommender Systems. | Zheng Ju, Honghui Du, Elias Z. Tragos, Neil Hurley, Aonghus Lawlor |
| 2023 | ICONIP | Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases. | Haiwen Du, Zheng Ju, Yu An, Honghui Du, Dongjie Zhu, Zhaoshuo Tian, Aonghus Lawlor, Ruihai Dong |
| 2020 | ICDM | MARLINE: Multi-Source Mapping Transfer Learning for Non-Stationary Environments. | Honghui Du, Leandro L. Minku, Huiyu Zhou |
| 2019 | IJCNN | Multi-Source Transfer Learning for Non-Stationary Environments. | Honghui Du, Leandro L. Minku, Huiyu Zhou |