Zheng Ju

PhD student, Computer Science, University College Dublin

Joined

January 2026

Names

Zheng Ju (Preferred)

Emails

****@ucd.ie (Confirmed)

****@insight-centre.org (Confirmed)

Personal Links

DBLP

ORCID

Career & Education History

PhD student

Computer Science, University College Dublin (ucd.ie)

2021 – 2026

Advisors, Relations & Conflicts

Coauthor

Changhong Jin

Present

Coauthor

Ruoyang Zhang

Present

Coauthor

Honghui Du

Present

Coauthor

Ruihai Dong

Present

Coauthor

Neil J. Hurley

Present

Coauthor

Elias Tragos

Present

Coauthor

Siteng Ma

Present

PhD Advisor

Aonghus Lawlor

2021 – 2025

Expertise

Recommender Systems

Present

Publications

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
- Readers: Everyone
Exploring Coresets for Efficient Training and Consistent Evaluation of Recommender Systems
Zheng Ju, Honghui Du, Elias Z. Tragos, Neil Hurley, Aonghus Lawlor
- RecSys 2024
- Readers: Everyone
Model-data-driven adversarial active learning for brain tumor segmentation
Siteng Ma, Prateek Mathur, Zheng Ju, Aonghus Lawlor, Ruihai Dong
- Comput. Biol. Medicine 2024
- Readers: Everyone
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
- Readers: Everyone

Zheng Ju

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

DiffGR: A Discrete Diffusion-Based Model for Personalised Recommendation by Reconstructing User-Item Bipartite Graphs

Exploring Coresets for Efficient Training and Consistent Evaluation of Recommender Systems

Model-data-driven adversarial active learning for brain tumor segmentation

Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases

Co-Authors