Multi-Source Transfer Learning for Non-Stationary Environments. - Honghui Du; Leandro L. Minku; Huiyu Zhou 001 (IJCNN, 2019)

MARLINE: Multi-Source Mapping Transfer Learning for Non-Stationary Environments. - Honghui Du; Leandro L. Minku; Huiyu Zhou 001 (ICDM, 2020)

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 (ICONIP (15), 2023)

Neural-Integrated Meshfree (NIM) Method: A differentiable programming-based hybrid solver for computational mechanics. - Honghui Du; QiZhi He (CoRR, 2023)

RecPrompt: A Prompt Tuning Framework for News Recommendation Using Large Language Models. - Dairui Liu; Boming Yang; Honghui Du; Derek Greene; Aonghus Lawlor; Ruihai Dong; Irene Li (CoRR, 2023)

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 (ADBIS (Short Papers), 2024)

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 (CIKM, 2024)

CAPTAIN CARBON: Using Gamification to Influence Students Choice for Sustainable Transport. - Mark Tynan; Evan Byrne; Carlo Finnegan; Maxim Zack Istasse; Ivan Kalgashkin; Honghui Du; Fatemeh Golpayegani (ITSC, 2024)

Adaptive Curriculum Query Strategy for Active Learning in Medical Image Classification. - Siteng Ma; Honghui Du; Kathleen M. Curran; Aonghus Lawlor; Ruihai Dong (MICCAI (11), 2024)

Exploring Coresets for Efficient Training and Consistent Evaluation of Recommender Systems. - Zheng Ju; Honghui Du; Elias Z. Tragos; Neil Hurley; Aonghus Lawlor (RecSys, 2024)

Transformers4NewsRec: A Transformer-based News Recommendation Framework. - Dairui Liu; Honghui Du; Boming Yang; Neil Hurley; Aonghus Lawlor; Irene Li; Derek Greene; Ruihai Dong (CoRR, 2024)

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 (ECIR (3), 2025)

Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey. - Siteng Ma; Honghui Du; Yu An; Jing Wang; Qinqin Wang; Haochang Wu; Aonghus Lawlor; Ruihai Dong (CoRR, 2025)

Differentiable neural-integrated meshfree method for forward and inverse modeling of finite strain hyperelasticity. - Honghui Du; Binyao Guo; QiZhi He (Eng. Comput., 2025)

JAX-MPM: A Learning-Augmented Differentiable Meshfree Framework for GPU-Accelerated Lagrangian Simulation and Geophysical Inverse Modeling. - Honghui Du; QiZhi He (CoRR, 2025)