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ORCIDYushan Liu 0002
Person information
- affiliation: Ludwig Maximilian University of Munich, LMU, Germany
- affiliation: Siemens AG, Corporate Technology, Munich, Germany
Other persons with the same name
- Yushan Liu — disambiguation page
- Yushan Liu 0001
![[0000-0002-2799-9542]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2799-9542")
— Beihang University, School of Automation Science and Electrical Engineering, Beijing, China (and 2 more) - Yushan Liu 0003 — Xidian University, State Key Laboratory of Integrated Services Networks, China
- Yushan Liu 0004 — Princeton University, NJ, USA
- Yushan Liu 0005 — North University of China, School of Instrument and Electronics, Taiyuan, China
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Books and Theses
- 2024
[b1]Yushan Liu:
Machine learning with knowledge graphs for explainable Artificial Intelligence. Ludwig Maximilian University of Munich, Germany, 2024
Conference and Workshop Papers
- 2024
- [c8]Bailan He, Yushan Liu, Marcel Hildebrandt, Zifeng Ding, Yaomengxi Han, Volker Tresp:
An Automated Evaluation Framework for Graph Database Query Generation Leveraging Large Language Models. D2R2 2024 - 2023
- [c7]Yushan Liu, Bailan He, Marcel Hildebrandt, Maximilian Buchner, Daniela Inzko, Roger Wernert, Emanuel Weigel, Dagmar Beyer, Martin Berbalk, Volker Tresp:
A Knowledge Graph Perspective on Supply Chain Resilience. D2R2 2023 - 2022
- [c6]Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp:
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs. AAAI 2022: 4120-4127 - [c5]Tong Liu, Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Hang Li, Volker Tresp:
On Calibration of Graph Neural Networks for Node Classification. IJCNN 2022: 1-8 - [c4]Caglar Demir, Anna Himmelhuber, Yushan Liu, Alexander Bigerl, Diego Moussallem, Axel-Cyrille Ngonga Ngomo:
Rapid Explainability for Skill Description Learning. ISWC (Posters/Demos/Industry) 2022 - 2021
- [c3]Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Rime Raissouni, Volker Tresp:
Neural Multi-hop Reasoning with Logical Rules on Biomedical Knowledge Graphs. ESWC 2021: 375-391 - 2020
- [c2]Yushan Liu, Markus M. Geipel, Christoph Tietz, Florian Buettner:
TIMELY: Improving Labeling Consistency in Medical Imaging for Cell Type Classification. ECAI 2020: 1858-1865 - [c1]Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor, Volker Tresp:
Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score. ICHI 2020: 1-11
Informal and Other Publications
- 2023
- [i7]Yushan Liu, Bailan He, Marcel Hildebrandt, Maximilian Buchner, Daniela Inzko, Roger Wernert, Emanuel Weigel, Dagmar Beyer, Martin Berbalk, Volker Tresp:
A Knowledge Graph Perspective on Supply Chain Resilience. CoRR abs/2305.08506 (2023) - 2022
- [i6]Tong Liu, Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Hang Li, Volker Tresp:
On Calibration of Graph Neural Networks for Node Classification. CoRR abs/2206.01570 (2022) - 2021
- [i5]Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Rime Raissouni, Volker Tresp:
Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs. CoRR abs/2103.10367 (2021) - [i4]Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp:
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs. CoRR abs/2112.08025 (2021) - 2020
- [i3]Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor, Volker Tresp:
Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score. CoRR abs/2007.01083 (2020) - [i2]Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Volker Tresp:
Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing. CoRR abs/2007.05292 (2020) - [i1]Yushan Liu, Markus M. Geipel, Christoph Tietz, Florian Buettner:
TIMELY: Improving Labeling Consistency in Medical Imaging for Cell Type Classification. CoRR abs/2007.05307 (2020)
Coauthor Index
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