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Zheng Ju

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2020 – today

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2024
[j1]
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  - journals/cbm/MaMJLD24
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  - https://dblp.org/rec/journals/cbm/MaMJLD24
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)
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  - conf/recsys/JuDTHL24
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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
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  - conf/iconip/DuJADZTLD23
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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]
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  - journals/corr/abs-2308-01138
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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
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  - journals/corr/abs-2010-10957
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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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