Yuqicheng Zhu

According to our database, Yuqicheng Zhu authored at least 25 papers between 2022 and 2026.

Collaborative distances:

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

2026

What Breaks Knowledge Graph based RAG? Benchmarking and Empirical Insights into Reasoning under Incomplete Knowledge.

Dongzhuoran Zhou, Yuqicheng Zhu, Xiaxia Wang, Hongkuan Zhou, Yuan He, Jiaoyan Chen, Steffen Staab, Evgeny Kharlamov

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

EigentSearch-Q+: Enhancing Deep Research Agents with Structured Reasoning Tools.

Boer Zhang, Mingyan Wu, Dongzhuoran Zhou, Yuqicheng Zhu, Wendong Fan, Puzhen Zhang, Zifeng Ding, Guohao Li, Yuan He

Proceedings of the ACM Conference on AI and Agentic Systems, 2026

Seeing and Knowing in the Wild: Open-domain Visual Entity Recognition with Large-scale Knowledge Graphs via Contrastive Learning.

Hongkuan Zhou, Lavdim Halilaj, Sebastian Monka, Stefan Schmid, Yuqicheng Zhu, Jingcheng Wu, Nadeem Nazer, Steffen Staab

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

GR-Agent: Adaptive Graph Reasoning Agent under Incomplete Knowledge.

Dongzhuoran Zhou, Yuqicheng Zhu, Xiaxia Wang, Hongkuan Zhou, Jiaoyan Chen, Steffen Staab, Yuan He, Evgeny Kharlamov

CoRR, December, 2025

Self-Exploring Language Models for Explainable Link Forecasting on Temporal Graphs via Reinforcement Learning.

Zifeng Ding, Shenyang Huang, Zeyu Cao, Emma Kondrup, Zachary Yang, Xingyue Huang, Yuan Sui, Zhangdie Yuan, Yuqicheng Zhu, Xianglong Hu, Yuan He, Farimah Poursafaei, Michael M. Bronstein, Andreas Vlachos

CoRR, September, 2025

What Breaks Knowledge Graph based RAG? Empirical Insights into Reasoning under Incomplete Knowledge.

Dongzhuoran Zhou, Yuqicheng Zhu, Xiaxia Wang, Hongkuan Zhou, Yuan He, Jiaoyan Chen, Steffen Staab, Evgeny Kharlamov

CoRR, August, 2025

FactProbe: Supposedly Equivalent Facts That Aren't? Entity Frequency in Pre-training Induces Asymmetry in LLMs.

Yuan He, Bailan He, Zifeng Ding, Alisia Maria Lupidi, Yuqicheng Zhu, Shuo Chen, Caiqi Zhang, Jiaoyan Chen, Yunpu Ma, Volker Tresp, Ian Horrocks

Dataset, July, 2025

Evaluating Knowledge Graph Based Retrieval Augmented Generation Methods under Knowledge Incompleteness.

Dongzhuoran Zhou, Yuqicheng Zhu, Yuan He, Jiaoyan Chen, Evgeny Kharlamov, Steffen Staab

CoRR, April, 2025

Supposedly Equivalent Facts That Aren't? Entity Frequency in Pre-training Induces Asymmetry in LLMs.

Yuan He, Bailan He, Zifeng Ding, Alisia Maria Lupidi, Yuqicheng Zhu, Shuo Chen, Caiqi Zhang, Jiaoyan Chen, Yunpu Ma, Volker Tresp, Ian Horrocks

CoRR, March, 2025

MaSH: Maximal Separating Poincaré Hyperplanes for Hierarchical Imbalanced Learning.

Bo Xiong, Jiaying Lu, Yuqicheng Zhu, Carl Yang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

DAGE: DAG Query Answering via Relational Combinator with Logical Constraints.

Yunjie He, Bo Xiong, Daniel Hernández, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab

Proceedings of the ACM on Web Conference 2025, 2025

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

Proceedings of The 19th International Conference on Neurosymbolic Learning and Reasoning (NeSy 2025), 2025

Conformalized Answer Set Prediction for Knowledge Graph Embedding.

Yuqicheng Zhu, Nico Potyka, Jiarong Pan, Bo Xiong, Yunjie He, Evgeny Kharlamov, Steffen Staab

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Thesis Proposal: Uncertainty in Knowledge Graph Embeddings.

Yuqicheng Zhu

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Certainty in Uncertainty: Reasoning over Uncertain Knowledge Graphs with Statistical Guarantees.

Yuqicheng Zhu, Jingcheng Wu, Yizhen Wang, Hongkuan Zhou, Jiaoyan Chen, Evgeny Kharlamov, Steffen Staab

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings.

Yuqicheng Zhu, Daniel Hernández, Yuan He, Zifeng Ding, Bo Xiong, Evgeny Kharlamov, Steffen Staab

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Visual Representation Learning Guided By Multi-modal Prior Knowledge.

Hongkuan Zhou, Lavdim Halilaj, Sebastian Monka, Stefan Schmid, Yuqicheng Zhu, Bo Xiong, Steffen Staab

CoRR, 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

Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction.

Yuqicheng Zhu, Nico Potyka, Mojtaba Nayyeri, Bo Xiong, Yunjie He, Evgeny Kharlamov, Steffen Staab

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Generating SROI^- Ontologies via Knowledge Graph Query Embedding Learning.

Yunjie He, Daniel Hernández, Mojtaba Nayyeri, Bo Xiong, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Robust Knowledge Extraction from Large Language Models using Social Choice Theory.

Nico Potyka, Yuqicheng Zhu, Yunjie He, Evgeny Kharlamov, Steffen Staab

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Towards Statistical Reasoning with Ontology Embeddings.

Yuqicheng Zhu, Nico Potyka, Bo Xiong, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab, Evgeny Kharlamov

Proceedings of the ISWC 2023 Posters, 2023

Can Pattern Learning Enhance Complex Logical Query Answering?

Yunjie He, Mojtaba Nayyeri, Bo Xiong, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab

Proceedings of the ISWC 2023 Posters, 2023

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

Proceedings of the ISWC 2022 Posters, 2022

Active Transfer Prototypical Network: An Efficient Labeling Algorithm for Time-Series Data.

Yuqicheng Zhu, Mohamed-Ali Tnani, Timo Jahnz, Klaus Diepold

Proceedings of the 4th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), 2022