Published Papers (also see Google Scholar)
2025
Certainty in Uncertainty: Reasoning over Uncertain Knowledge Graphs with Statistical Guarantees
Yuqicheng Zhu, Jingcheng Wu, Yizhen Wang, Honguan Zhou, Jiaoyan Chen, Evgeny Kharlamov, Steffen Staab. To be appear in The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025)
Evaluating Knowledge Graph Based Retrieval Augmented Generation Methods under Knowledge Incompleteness
Dongzhuoran Zhou*, Yuqicheng Zhu*, Yuan He, Jiaoyan Chen, Evgeny Kharlamov, Steffen Staab. International Research and Industry Symposium on AI
ArgRAG: Explainable Retrieval Augmented Generation using Quantitative Bipolar Argumentation
Yuqicheng Zhu, Nico Potyka, Daniel Hernández, Yuan He, Zifeng Ding, Bo Xiong, Dongzhuoran Zhou, Evgeny Kharlamov, Steffen Staab. To be appear in International Conference on Neurosymbolic Learning and Reasoning (NeSy 2025).
Supposedly Equivalent Facts That Aren’t? Entity Frequency in Pre-training Induces Asymmetry in LLMs
Yuan He*, Bailan He*, Zifeng Ding*, Alisia Lupidi, Yuqicheng Zhu, Shuo Chen, Caiqi Zhang, Jiaoyan Chen, Yunpu Ma, Volker Tresp, Ian Horrocks. To be appear in Second Conference on Language Modeling (COLM 2025).
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings
Yuqicheng Zhu, Daniel Hernández, Yuan He, Zifeng Ding, Bo Xiong, Evgeny Kharlamov, Steffen Staab. To be appear in the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025).
Thesis Proposal: Uncertainty in Knowledge Graph Embeddings
Yuqicheng Zhu. NAACL Student Research Workshop (SRW) 2025.
Conformalized Answer Set Prediction for Knowledge Graph Embedding
Yuqicheng Zhu, Nico Potyka, Jiarong Pan, Bo Xiong, Yunjie He, Evgeny Kharlamov, Steffen Staab. 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL 2025).
DAGE: DAG Query Answering via Relational Combinator with Logical Constraints
Yunjie He, Bo Xiong, Daniel Hernández, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab. The Web Conference 2025 (WWW 2025).
MaSH: Maximal Separating Poincaré Hyperplanes for Hierarchical Imbalanced Learning
Bo Xiong, jiaying Lu, Yuqicheng Zhu, Carl Yang. The Web Conference 2025 (WWW 2025).
2024
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction
Yuqicheng Zhu, Nico Potyka, Mojtaba Nayyeri, Bo Xiong, Yunjie He, Evgeny Kharlamov, Steffen Staab. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024).
Generating SROI^{-} Ontologies via Knowledge Graph Query Embedding Learning
Yunjie He, Daniel Hernandez, Mojtaba Nayyeri, Bo Xiong, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab. The 27th European Conference On Artificial Intelligence (ECAI 2024).
Robust Knowledge Extraction from Large Language Models using Social Choice Theory
Nico Potyka*, Yuqicheng Zhu*, Yunjie He, Evgeny Kharlamov, Steffen Staab. The 23rd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2024).
2023
Modeling Relational Patterns for Logical Query Answering over Knowledge Graphs
Yunjie He, Mojtaba Nayyeri, Bo Xiong, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab. Under review.
Towards Statistical Reasoning with Ontology Embeddings
Yuqicheng Zhu*, Nico Potyka*, Bo Xiong, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab, Evgeny Kharlamov. The 23nd International Semantic Web Conference (ISWC 2023 Posters and Demos).
Can Pattern Learning Enhance Complex Logical Query Answering?
Yunjie He, Mojtaba Nayyeri, Bo Xiong, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab. The 23nd International Semantic Web Conference (ISWC 2023 Posters and Demos).
2022
Neuro-Symbolic AI at Bosch: Data Foundation, Insights, and Deployment
Baifan Zhou, Zhipeng Tan, Zhuoxun Zheng, Dongzhuoran Zhou, Yunjie He, Yuqicheng Zhu, Muhammad Yahya, Trung-Kien Tran, Daria Stepanova, Mohamed H Gad-Elrab, Evgeny Kharlamov. The 22nd International Semantic Web Conference (ISWC 2022).
Active Transfer Prototypical Network: An Efficient Labeling Algorithm for Time-Series Data
Yuqicheng Zhu, Mohamed-Ali Tnani, Timo Jahnz, Klaus Diepold. Procedia Computer Science, p. 1427-1436, 2022.
Method for training a machine learning model and method for predicting a braking characteristic
Yuqicheng Zhu, Xun Yao. DE Patent DE102020215505A1, 2022.
Method and device for detecting a malfunction of a braking system
Yuqicheng Zhu, Jonathan Schnur. DE Patent DE102020213853A1, 2022.
