About
Baifan Zhous research interests focus on combining Semantic Web and Machine Learning, with an emphasis on Neuro-Symbolic AI for Industry 4.0, including,
- information modelling with semantics for industrial assets,
- semantics-enhanced machine learning for better usability, transparency, and automation,
- knowledge graph embedding in Riemannian manifolds.
Baifan has close collaboration with academic as well as industrial partners for both foundational research in neural knowledge representation and applied research in petroleum and manufacturing industries.
Publications and research
Scientific publications
Yahya, Muhammad; Zhou, Baifan; Breslin, John G.; Ali, Muhammad Intizar; Kharlamov, Evgeny
(2023).
Semantic Modeling, Development and Evaluation for the Resistance Spot Welding Industry.
17 p.
IEEE Access.
Vol. 11.
https://doi.org/10.1109/ACCESS.2023.3267000
Zhou, Dongzhuoran; Zhou, Baifan; Zheng, Zhuoxun; Kostylev, Egor; Cheng, Gong; Jimenez-Ruiz, Ernesto; Soylu, Ahmet; Kharlamov, Evgeny
(2022).
Enhancing Knowledge Graph Generation with Ontology Reshaping – Bosch Case.
Lecture Notes in Computer Science (LNCS).
Vol. 13384.
https://doi.org/10.1007/978-3-031-11609-4_45
Zhou, Baifan; Zheng, Zhuoxun; Zhou, Dongzhuoran; Cheng, Gong; Jimenez-Ruiz, Ernesto; Trung-Kien, Tran; Stepanova, Daria; Gad-Elrab, Mohamed H.; Nikolov, Nikolay; Soylu, Ahmet; Kharlamov, Evgeny
(2022).
The Data Value Quest: A Holistic Semantic Approach at Bosch.
Lecture Notes in Computer Science (LNCS).
Vol. 13384.
https://doi.org/10.1007/978-3-031-11609-4_42
Zheng, Zhuoxun; Zhou, Baifan; Zhou, Dongzhuoran; Cheng, Gong; Jimenez-Ruiz, Ernesto; Soylu, Ahmet; Kharlamov, Evgeny
(2022).
Query-Based Industrial Analytics over Knowledge Graphs with Ontology Reshaping.
Lecture Notes in Computer Science (LNCS).
Vol. 13384.
https://doi.org/10.1007/978-3-031-11609-4_23
Zheng, Zhuoxun; Zhou, Baifan; Zhou, Dongzhuoran; Soylu, Ahmet; Kharlamov, Evgeny
(2022).
ExeKG: Executable Knowledge Graph System for User-friendly Data Analytics.
Al Hasan, Mohammad; Xiong, Li (Ed.).
CIKM'22: Proceedings of the 31st ACM International Conference on Information & Knowledge Management. p. 5064-5068.
Association for Computing Machinery (ACM).
https://doi.org/10.1145/3511808.3557195
Zhou, Dongzhuoran; Zhou, Baifan; Zheng, Zhuoxun; Soylu, Ahmet; Savkovic, Ognjen; Kostylev, Egor; Kharlamov, Evgeny
(2022).
ScheRe: Schema Reshaping for Enhancing Knowledge Graph Construction.
Al Hasan, Mohammad; Xiong, Li (Ed.).
CIKM'22: Proceedings of the 31st ACM International Conference on Information & Knowledge Management. p. 5074-5078.
Association for Computing Machinery (ACM).
https://doi.org/10.1145/3511808.3557214
Zheng, Zhuoxun; Zhou, Baifan; Soylu, Ahmet; Kharlamov, Evgeny
(2022).
Towards a Visualisation Ontology for Data Analysis in Industrial Applications.
CEUR Workshop Proceedings.
Vol. 3355.
http://hdl.handle.net/10852/101950
Zhou, Baifan; Pychynski, Tim; Reischl, Markus; Kharlamov, Evgeny; Mikut, Ralf
(2022).
Machine Learning with Domain Knowledge for Predictive Quality Monitoring in Resistance Spot Welding.
Journal of Intelligent Manufacturing.
Vol. 33.
https://doi.org/10.1007/s10845-021-01892-y
Zhou, Baifan; Svetashova, Yulia; Silva Gusmao, Andre; Soylu, Ahmet; Cheng, Gong; Mikut, Ralf; Waaler, Arild Torolv Søetorp; Kharlamov, Evgeny
(2021).
SemML: Facilitating development of ML models for condition monitoring with semantics.
Journal of Web Semantics.
Vol. 71.
https://doi.org/10.1016/j.websem.2021.100664