Honghui Du

25 papers A* 2A 3B 2Journal 12Unranked 6
YearRankTypeTitle / Venue / Authors
2025 A conf
ActiViz: Understanding Sample Selection in Active Learning through Boundary Visualization.
CIKM
Jie Chen, Honghui Du, Dairui Liu, Siteng Ma, Brian MacNamee, Ruihai Dong
2025 J jnl
Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey.
CoRR
Siteng Ma, Honghui Du, Yu An, Jing Wang, Qinqin Wang, Haochang Wu, Aonghus Lawlor, Ruihai Dong
2025 — conf
DiffGR: A Discrete Diffusion-Based Model for Personalised Recommendation by Reconstructing User-Item Bipartite Graphs.
ECIR (3)
Zheng Ju, Honghui Du, Elias Z. Tragos, Neil Hurley, Aonghus Lawlor
2025 J jnl
Differentiable neural-integrated meshfree method for forward and inverse modeling of finite strain hyperelasticity.
Eng. Comput.
Honghui Du, Binyao Guo, Qizhi He
2025 B conf
Is Complete Labeling Necessary? Understanding Active Learning in Longitudinal Medical Imaging.
IJCNN
Siteng Ma, Honghui Du, Prateek Mathur, Brendan S. Kelly, Ronan P. Killeen, Aonghus Lawlor, Ruihai Dong
2025 J jnl
Is Complete Labeling Necessary? Understanding Active Learning in Longitudinal Medical Imaging.
CoRR
Siteng Ma, Honghui Du, Prateek Mathur, Brendan S. Kelly, Ronan P. Killeen, Aonghus Lawlor, Ruihai Dong
2025 J jnl
JAX-MPM: A Learning-Augmented Differentiable Meshfree Framework for GPU-Accelerated Lagrangian Simulation and Geophysical Inverse Modeling.
CoRR
Honghui Du, Qizhi He
2025 J jnl
MARLINE: Multi-Source Mapping Transfer Learning for Non-Stationary Environments.
CoRR
Honghui Du, Leandro L. Minku, Huiyu Zhou
2025 A* conf
Multi-Label Transfer Learning in Non-Stationary Data Streams.
ICDM
Honghui Du, Leandro L. Minku, Aonghus Lawlor, Huiyu Zhou
2025 J jnl
Multi-Label Transfer Learning in Non-Stationary Data Streams.
CoRR
Honghui Du, Leandro L. Minku, Aonghus Lawlor, Huiyu Zhou
2025 — conf
Spatial Aggregation for Semi-supervised Active Learning in 3D Medical Image Segmentation.
MICCAI (8)
Siteng Ma, Honghui Du, Dairui Liu, Kathleen M. Curran, Aonghus Lawlor, Ruihai Dong
2024 — conf
Adaptive Curriculum Query Strategy for Active Learning in Medical Image Classification.
MICCAI (11)
Siteng Ma, Honghui Du, Kathleen M. Curran, Aonghus Lawlor, Ruihai Dong
2024 — conf
CAPTAIN CARBON: Using Gamification to Influence Students Choice for Sustainable Transport.
ITSC
Mark Tynan, Evan Byrne, Carlo Finnegan, Maxim Zack Istasse, Ivan Kalgashkin, Honghui Du, Fatemeh Golpayegani
2024 J jnl
Differentiable Neural-Integrated Meshfree Method for Forward and Inverse Modeling of Finite Strain Hyperelasticity.
CoRR
Honghui Du, Binyao Guo, Qizhi He
2024 — conf
Entity Matching with Large Language Models as Weak and Strong Labellers.
ADBIS (Short Papers)
Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Erika Duriakova, Honghui Du, Neil Hurley, Aonghus Lawlor
2024 A conf
Exploring Coresets for Efficient Training and Consistent Evaluation of Recommender Systems.
RecSys
Zheng Ju, Honghui Du, Elias Z. Tragos, Neil Hurley, Aonghus Lawlor
2024 A conf
RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models.
CIKM
Dairui Liu, Boming Yang, Honghui Du, Derek Greene, Neil Hurley, Aonghus Lawlor, Ruihai Dong, Irene Li
2024 J jnl
Transformers4NewsRec: A Transformer-based News Recommendation Framework.
CoRR
Dairui Liu, Honghui Du, Boming Yang, Neil Hurley, Aonghus Lawlor, Irene Li, Derek Greene, Ruihai Dong
2023 — conf
Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases.
ICONIP (15)
Haiwen Du, Zheng Ju, Yu An, Honghui Du, Dongjie Zhu, Zhaoshuo Tian, Aonghus Lawlor, Ruihai Dong
2023 J jnl
Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases.
CoRR
Haiwen Du, Zheng Ju, Yu An, Honghui Du, Dongjie Zhu, Zhaoshuo Tian, Aonghus Lawlor, Ruihai Dong
2023 J jnl
Neural-Integrated Meshfree (NIM) Method: A differentiable programming-based hybrid solver for computational mechanics.
CoRR
Honghui Du, Qizhi He
2023 J jnl
RecPrompt: A Prompt Tuning Framework for News Recommendation Using Large Language Models.
CoRR
Dairui Liu, Boming Yang, Honghui Du, Derek Greene, Aonghus Lawlor, Ruihai Dong, Irene Li
2020 A* conf
MARLINE: Multi-Source Mapping Transfer Learning for Non-Stationary Environments.
ICDM
Honghui Du, Leandro L. Minku, Huiyu Zhou
2019 B conf
Multi-Source Transfer Learning for Non-Stationary Environments.
IJCNN
Honghui Du, Leandro L. Minku, Huiyu Zhou
2019 J jnl
Multi-Source Transfer Learning for Non-Stationary Environments.
CoRR
Honghui Du, Leandro L. Minku, Huiyu Zhou