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Zheng Ju
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2020 – today
- 2024
- [j1]Siteng Ma, Prateek Mathur, Zheng Ju, Aonghus Lawlor
, Ruihai Dong:
Model-data-driven adversarial active learning for brain tumor segmentation. Comput. Biol. Medicine 176: 108585 (2024) - [c2]Zheng Ju
, Honghui Du
, Elias Z. Tragos
, Neil Hurley
, Aonghus Lawlor
:
Exploring Coresets for Efficient Training and Consistent Evaluation of Recommender Systems. RecSys 2024: 1152-1157 - 2023
- [c1]Haiwen Du, Zheng Ju, Yu An, Honghui Du
, Dongjie Zhu, Zhaoshuo Tian, Aonghus Lawlor, Ruihai Dong:
Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases. ICONIP (15) 2023: 125-139 - [i2]Haiwen Du, Zheng Ju, Yu An, Honghui Du, Dongjie Zhu, Zhaoshuo Tian, Aonghus Lawlor
, Ruihai Dong:
Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases. CoRR abs/2308.01138 (2023) - 2020
- [i1]Kai Jiang, Xiangyue Liu, Zheng Ju, Xiang Luo:
2nd Place Solution to Instance Segmentation of IJCAI 3D AI Challenge 2020. CoRR abs/2010.10957 (2020)
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last updated on 2024-12-10 20:49 CET by the dblp team
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