| 2025 | AAAI | LogicAD: Explainable Anomaly Detection via VLM-based Text Feature Extraction. | Er Jin, Qihui Feng, Yongli Mou, Gerhard Lakemeyer, Stefan Decker, Oliver Simons, Johannes Stegmaier |
| 2025 | AIED | WILLM: A System for Academic Writing Improvement Based on Large Language Models. | Yongli Mou, Fatemeh Fathi, Ben Thillen, Stefan Decker |
| 2024 | VLDB | Leveraging LLMs Few-shot Learning to Improve Instruction-driven Knowledge Graph Construction. | Yongli Mou, Li Liu, Sulayman K. Sowe, Diego Collarana, Stefan Decker |
| 2023 | GLOBECOM | Towards FAIR Data in Distributed Machine Learning Systems. | Yongli Mou, Fengyang Guo, Wei Lu, Yongzhao Li, Oya Beyan, Thomas Rose, Schahram Dustdar, Stefan Decker |
| 2023 | PAKDD | pFedV: Mitigating Feature Distribution Skewness via Personalized Federated Learning with Variational Distribution Constraints. | Yongli Mou, Jiahui Geng, Feng Zhou, Oya Beyan, Chunming Rong, Stefan Decker |
| 2023 | VLDB | Towards Federated Machine Learning and Distributed Ledger Technology-based Data Monetization. | Timo Himmelsbach, Yongli Mou, Stefan Decker, Armin Heinzl |
| 2022 | CloudCom | Blockchain-based Cross-organizational Workflow Platform. | Jiahui Geng, Ali Akbar Rehman, Yongli Mou, Stefan Decker, Chunming Rong |