Yuqicheng Zhu

33 papers A* 3A 2C 2Journal 17Unranked 9
YearRankTypeTitle / Venue / Authors
2026 A* conf
Seeing and Knowing in the Wild: Open-domain Visual Entity Recognition with Large-scale Knowledge Graphs via Contrastive Learning.
AAAI
Hongkuan Zhou, Lavdim Halilaj, Sebastian Monka, Stefan Schmid, Yuqicheng Zhu, Jingcheng Wu, Nadeem Nazer, Steffen Staab
2026 — conf
What Breaks Knowledge Graph based RAG? Benchmarking and Empirical Insights into Reasoning under Incomplete Knowledge.
EACL (Volume 1: Long Papers)
Dongzhuoran Zhou, Yuqicheng Zhu, Xiaxia Wang, Hongkuan Zhou, Yuan He, Jiaoyan Chen, Steffen Staab, Evgeny Kharlamov
2025 C conf
ArgRAG: Explainable Retrieval Augmented Generation using Quantitative Bipolar Argumentation.
NeSy
Yuqicheng Zhu, Nico Potyka, Daniel Hernández, Yuan He, Zifeng Ding, Bo Xiong, Dongzhuoran Zhou, Evgeny Kharlamov, Steffen Staab
2025 J jnl
ArgRAG: Explainable Retrieval Augmented Generation using Quantitative Bipolar Argumentation.
CoRR
Yuqicheng Zhu, Nico Potyka, Daniel Hernández, Yuan He, Zifeng Ding, Bo Xiong, Dongzhuoran Zhou, Evgeny Kharlamov, Steffen Staab
2025 A* conf
Certainty in Uncertainty: Reasoning over Uncertain Knowledge Graphs with Statistical Guarantees.
EMNLP
Yuqicheng Zhu, Jingcheng Wu, Yizhen Wang, Hongkuan Zhou, Jiaoyan Chen, Evgeny Kharlamov, Steffen Staab
2025 J jnl
Certainty in Uncertainty: Reasoning over Uncertain Knowledge Graphs with Statistical Guarantees.
CoRR
Yuqicheng Zhu, Jingcheng Wu, Yizhen Wang, Hongkuan Zhou, Jiaoyan Chen, Evgeny Kharlamov, Steffen Staab
2025 — conf
Conformalized Answer Set Prediction for Knowledge Graph Embedding.
NAACL (Long Papers)
Yuqicheng Zhu, Nico Potyka, Jiarong Pan, Bo Xiong, Yunjie He, Evgeny Kharlamov, Steffen Staab
2025 A* conf
DAGE: DAG Query Answering via Relational Combinator with Logical Constraints.
WWW
Yunjie He, Bo Xiong, Daniel Hernández, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab
2025 J jnl
Evaluating Knowledge Graph Based Retrieval Augmented Generation Methods under Knowledge Incompleteness.
CoRR
Dongzhuoran Zhou, Yuqicheng Zhu, Yuan He, Jiaoyan Chen, Evgeny Kharlamov, Steffen Staab
2025 J jnl
GR-Agent: Adaptive Graph Reasoning Agent under Incomplete Knowledge.
CoRR
Dongzhuoran Zhou, Yuqicheng Zhu, Xiaxia Wang, Hongkuan Zhou, Jiaoyan Chen, Steffen Staab, Yuan He, Evgeny Kharlamov
2025 — conf
MaSH: Maximal Separating Poincaré Hyperplanes for Hierarchical Imbalanced Learning.
WWW (Companion Volume)
Bo Xiong, Jiaying Lu, Yuqicheng Zhu, Carl Yang
2025 — conf
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings.
ACL (Findings)
Yuqicheng Zhu, Daniel Hernández, Yuan He, Zifeng Ding, Bo Xiong, Evgeny Kharlamov, Steffen Staab
2025 J jnl
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings.
CoRR
Yuqicheng Zhu, Daniel Hernández, Yuan He, Zifeng Ding, Bo Xiong, Evgeny Kharlamov, Steffen Staab
2025 J jnl
Seeing and Knowing in the Wild: Open-domain Visual Entity Recognition with Large-scale Knowledge Graphs via Contrastive Learning.
CoRR
Hongkuan Zhou, Lavdim Halilaj, Sebastian Monka, Stefan Schmid, Yuqicheng Zhu, Jingcheng Wu, Nadeem Nazer, Steffen Staab
2025 J jnl
Self-Exploring Language Models for Explainable Link Forecasting on Temporal Graphs via Reinforcement Learning.
CoRR
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
2025 J jnl
Supposedly Equivalent Facts That Aren't? Entity Frequency in Pre-training Induces Asymmetry in LLMs.
CoRR
Yuan He, Bailan He, Zifeng Ding, Alisia Maria Lupidi, Yuqicheng Zhu, Shuo Chen, Caiqi Zhang, Jiaoyan Chen, Yunpu Ma, Volker Tresp, Ian Horrocks
2025 — conf
Thesis Proposal: Uncertainty in Knowledge Graph Embeddings.
NAACL (Student Research Workshop)
Yuqicheng Zhu
2025 J jnl
What Breaks Knowledge Graph based RAG? Empirical Insights into Reasoning under Incomplete Knowledge.
CoRR
Dongzhuoran Zhou, Yuqicheng Zhu, Xiaxia Wang, Hongkuan Zhou, Yuan He, Jiaoyan Chen, Steffen Staab, Evgeny Kharlamov
2024 J jnl
Approximating Probabilistic Inference in Statistical EL with Knowledge Graph Embeddings.
CoRR
Yuqicheng Zhu, Nico Potyka, Bo Xiong, Trung-Kien Tran, Mojtaba Nayyeri, Evgeny Kharlamov, Steffen Staab
2024 J jnl
Conformalized Answer Set Prediction for Knowledge Graph Embedding.
CoRR
Yuqicheng Zhu, Nico Potyka, Jiarong Pan, Bo Xiong, Yunjie He, Evgeny Kharlamov, Steffen Staab
2024 J jnl
DAGE: DAG Query Answering via Relational Combinator with Logical Constraints.
CoRR
Yunjie He, Bo Xiong, Daniel Hernández, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab
2024 A conf
Generating SROI
ECAI
Yunjie He, Daniel Hernández, Mojtaba Nayyeri, Bo Xiong, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab
2024 J jnl
Generating SROI
CoRR
Yunjie He, Daniel Hernández, Mojtaba Nayyeri, Bo Xiong, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab
2024 — conf
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction.
EMNLP (Findings)
Yuqicheng Zhu, Nico Potyka, Mojtaba Nayyeri, Bo Xiong, Yunjie He, Evgeny Kharlamov, Steffen Staab
2024 J jnl
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction.
CoRR
Yuqicheng Zhu, Nico Potyka, Mojtaba Nayyeri, Bo Xiong, Yunjie He, Evgeny Kharlamov, Steffen Staab
2024 A conf
Robust Knowledge Extraction from Large Language Models using Social Choice Theory.
AAMAS
Nico Potyka, Yuqicheng Zhu, Yunjie He, Evgeny Kharlamov, Steffen Staab
2024 J jnl
Visual Representation Learning Guided By Multi-modal Prior Knowledge.
CoRR
Hongkuan Zhou, Lavdim Halilaj, Sebastian Monka, Stefan Schmid, Yuqicheng Zhu, Bo Xiong, Steffen Staab
2023 — conf
Can Pattern Learning Enhance Complex Logical Query Answering?
ISWC (Posters/Demos/Industry)
Yunjie He, Mojtaba Nayyeri, Bo Xiong, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab
2023 J jnl
Robust Knowledge Extraction from Large Language Models using Social Choice Theory.
CoRR
Nico Potyka, Yuqicheng Zhu, Yunjie He, Evgeny Kharlamov, Steffen Staab
2023 — conf
Towards Statistical Reasoning with Ontology Embeddings.
ISWC (Posters/Demos/Industry)
Yuqicheng Zhu, Nico Potyka, Bo Xiong, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab, Evgeny Kharlamov
2022 C conf
Active Transfer Prototypical Network: An Efficient Labeling Algorithm for Time-Series Data.
ISM
Yuqicheng Zhu, Mohamed-Ali Tnani, Timo Jahnz, Klaus Diepold
2022 J jnl
Active Transfer Prototypical Network: An Efficient Labeling Algorithm for Time-Series Data.
CoRR
Yuqicheng Zhu, Mohamed-Ali Tnani, Timo Jahnz, Klaus Diepold
2022 — conf
Neuro-Symbolic AI at Bosch: Data Foundation, Insights, and Deployment.
ISWC (Posters/Demos/Industry)
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