Active Transfer Prototypical Network: An Efficient Labeling Algorithm for Time-Series Data. - Yuqicheng Zhu; Mohamed-Ali Tnani; Timo Jahnz; Klaus Diepold (ISM, 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 001; Mohamed H. Gad-Elrab; Evgeny Kharlamov (ISWC (Posters/Demos/Industry), 2022)

Can Pattern Learning Enhance Complex Logical Query Answering? - Yunjie He; Mojtaba Nayyeri; Bo Xiong; Yuqicheng Zhu; Evgeny Kharlamov; Steffen Staab (ISWC (Posters/Demos/Industry), 2023)

Towards Statistical Reasoning with Ontology Embeddings. - Yuqicheng Zhu; Nico Potyka; Bo Xiong; Trung-Kien Tran; Mojtaba Nayyeri; Steffen Staab; Evgeny Kharlamov (ISWC (Posters/Demos/Industry), 2023)

Robust Knowledge Extraction from Large Language Models using Social Choice Theory. - Nico Potyka; Yuqicheng Zhu; Yunjie He; Evgeny Kharlamov; Steffen Staab (AAMAS, 2024)

Generating SROI- Ontologies via Knowledge Graph Query Embedding Learning. - Yunjie He; Daniel Hernández 002; Mojtaba Nayyeri; Bo Xiong; Yuqicheng Zhu; Evgeny Kharlamov; Steffen Staab (ECAI, 2024)

Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction. - Yuqicheng Zhu; Nico Potyka; Mojtaba Nayyeri; Bo Xiong; Yunjie He; Evgeny Kharlamov; Steffen Staab (EMNLP (Findings), 2024)

Approximating Probabilistic Inference in Statistical EL with Knowledge Graph Embeddings. - Yuqicheng Zhu; Nico Potyka; Bo Xiong; Trung-Kien Tran; Mojtaba Nayyeri; Evgeny Kharlamov; Steffen Staab (CoRR, 2024)

Visual Representation Learning Guided By Multi-modal Prior Knowledge. - Hongkuan Zhou; Lavdim Halilaj; Sebastian Monka; Stefan Schmid 002; Yuqicheng Zhu; Bo Xiong; Steffen Staab (CoRR, 2024)

Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings. - Yuqicheng Zhu; Daniel Hernández 002; Yuan He 008; Zifeng Ding; Bo Xiong; Evgeny Kharlamov; Steffen Staab (ACL (Findings), 2025)

Thesis Proposal: Uncertainty in Knowledge Graph Embeddings. - Yuqicheng Zhu (NAACL (Student Research Workshop), 2025)

Conformalized Answer Set Prediction for Knowledge Graph Embedding. - Yuqicheng Zhu; Nico Potyka; Jiarong Pan; Bo Xiong; Yunjie He; Evgeny Kharlamov; Steffen Staab (NAACL (Long Papers), 2025)

DAGE: DAG Query Answering via Relational Combinator with Logical Constraints. - Yunjie He; Bo Xiong; Daniel Hernández 002; Yuqicheng Zhu; Evgeny Kharlamov; Steffen Staab (WWW, 2025)

MaSH: Maximal Separating Poincaré Hyperplanes for Hierarchical Imbalanced Learning. - Bo Xiong; Jiaying Lu 001; Yuqicheng Zhu; Carl Yang 001 (WWW (Companion Volume), 2025)

Supposedly Equivalent Facts That Aren't? Entity Frequency in Pre-training Induces Asymmetry in LLMs. - Yuan He 008; Bailan He; Zifeng Ding; Alisia Maria Lupidi; Yuqicheng Zhu; Shuo Chen 014; Caiqi Zhang; Jiaoyan Chen 001; Yunpu Ma; Volker Tresp; Ian Horrocks 001 (CoRR, 2025)

Evaluating Knowledge Graph Based Retrieval Augmented Generation Methods under Knowledge Incompleteness. - Dongzhuoran Zhou; Yuqicheng Zhu; Yuan He 008; Jiaoyan Chen 001; Evgeny Kharlamov; Steffen Staab (CoRR, 2025)

What Breaks Knowledge Graph based RAG? Empirical Insights into Reasoning under Incomplete Knowledge. - Dongzhuoran Zhou; Yuqicheng Zhu; Xiaxia Wang 001; Hongkuan Zhou; Yuan He 008; Jiaoyan Chen 001; Steffen Staab; Evgeny Kharlamov (CoRR, 2025)