Yushan Liu

According to our database, Yushan Liu authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Machine learning with knowledge graphs for explainable Artificial Intelligence.

Yushan Liu

PhD thesis, 2024

An Automated Evaluation Framework for Graph Database Query Generation Leveraging Large Language Models.

Bailan He, Yushan Liu, Marcel Hildebrandt, Zifeng Ding, Yaomengxi Han, Volker Tresp

Proceedings of the Third International Workshop on Linked Data-driven Resilience Research (D2R2'24) co-located with European Semantic Web Conference 2024 (ESWC 2024), 2024

2023

A Knowledge Graph Perspective on Supply Chain Resilience.

Yushan Liu, Bailan He, Marcel Hildebrandt, Maximilian Buchner, Daniela Inzko, Roger Wernert, Emanuel Weigel, Dagmar Beyer, Martin Berbalk, Volker Tresp

Proceedings of the Second International Workshop on Linked Data-driven Resilience Research 2023 co-located with Extended Semantic Web Conference 2023 (ESWC 2023), 2023

2022

Rapid Explainability for Skill Description Learning.

Caglar Demir, Anna Himmelhuber, Yushan Liu, Alexander Bigerl, Diego Moussallem, Axel-Cyrille Ngonga Ngomo

Proceedings of the ISWC 2022 Posters, 2022

On Calibration of Graph Neural Networks for Node Classification.

Tong Liu, Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Hang Li, Volker Tresp

Proceedings of the International Joint Conference on Neural Networks, 2022

TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs.

Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Neural Multi-hop Reasoning with Logical Rules on Biomedical Knowledge Graphs.

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

Proceedings of the Semantic Web - 18th International Conference, 2021

2020

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

Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Volker Tresp

CoRR, 2020

Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score.

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

Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

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

Yushan Liu, Markus M. Geipel, Christoph Tietz, Florian Buettner

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020