Yuqicheng researches uncertainty quantification in representation learning to enhance the reliability of knowledge graph embeddings and large language models. He has published first-author papers at top venues, with his latest to appear at ACL 2025.
Yuqicheng Zhu joined IMPRS-IS in 2023 and is based at the University of Stuttgart, supervised by Prof. Steffen Staab and co-supervised by Prof. Evgeny Kharlamov at Bosch, which also funds his research. His doctorate focuses on uncertainty quantification in representation learning with formal guarantees, particularly for knowledge graph embeddings and large language models, aiming to understand and formalize when we can trust model predictions.
Yuqicheng has authored several first-author papers published at top venues including ACL, EMNLP, NAACL, AAMAS, and ISWC, with collaborative works featured in WWW and ECAI (check out the list of papers in Google Scholar profile: https://scholar.google.com/citations?user=TE5jy5cAAAAJ&hl=en). His recent paper titled "Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings" will be presented at ACL 2025.
He is also an active member of the broader AI community. He delivered an invited talk titled “Knowledge Graphs Meet Large Language Models” at the Google Developer Group (GDG) Nuremberg and spoke about machine unlearning at GDG Stuttgart. Additionally, he also gave a talk at the ISWC 2023 tutorial on Neuro-Symbolic AI for Industry 4.0.
Before starting his doctorate, Yuqicheng earned a Master's degree in Electrical Engineering from the Technical University of Munich. Since 2018, he has worked at Bosch, where he applied AI techniques to industrial applications in automotive systems, with a focus on braking systems. His contributions in this domain led to two granted German patents.
Outside academia, Yuqicheng is a freelance artist specializing in digitally painted portraits, with additional expertise in portrait sketching and hand-drawn illustration. His artwork is showcased on platforms like Pinterest and Adobe Behance. From 2022 to 2024, he also served as an organizer for GDG Stuttgart, where he helped run community events focused on AI and developer technologies.
For more details, please visit his personal website: https://zhuyuqicheng.github.io/.
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