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Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs

Mar 18, 2021
Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Rime Raissouni, Volker Tresp

* Accepted at ESWC 2021 (18th Extended Semantic Web Conference). arXiv admin note: text overlap with arXiv:2007.05292 

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Deep Learning based Channel Extrapolation for Large-Scale Antenna Systems: Opportunities, Challenges and Solutions

Feb 25, 2021
Shun Zhang, Yushan Liu, Feifei Gao, Chengwen Xing, Jianping An, Octavia A. Dobre

* 15 pages, 6 figures 

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TIMELY: Improving Labeling Consistency in Medical Imaging for Cell Type Classification

Jul 10, 2020
Yushan Liu, Markus M. Geipel, Christoph Tietz, Florian Buettner

* Accepted at ECAI 2020 (24th European Conference on Artificial Intelligence) 

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Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing

Jul 10, 2020
Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Volker Tresp

* Accepted at the ICML 2020 Workshop Graph Representation Learning and Beyond (GRL+) 

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Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score

Jul 02, 2020
Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor, Volker Tresp

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Adversarial Examples versus Cloud-based Detectors: A Black-box Empirical Study

Jan 13, 2019
Xurong Li, Shouling Ji, Meng Han, Juntao Ji, Zhenyu Ren, Yushan Liu, Chunming Wu

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