About
Baifan Zhous research interests focus on Neuro-Symbolic AI that combines machine learning and knowledge representation and reasoning, including,
- application of Generative AI (such as large language models) for cross-disciplinary research
- information modelling with semantics for industrial assets,
- semantics-enhanced machine learning for better usability, transparency, and automation,
- knowledge graph embedding.
Baifan has close collaboration with academic as well as industrial partners for both foundational research in neural knowledge representation and applied research in process and manufacturing industries.
Research groups
Publications and research
Scientific publications
Psarommatis Giannakopoulos, Foivos;
Zhou, Baifan
; Kharlamov, Evgeny
(2024).
Implementation of Zero Defect Manufacturing using quality prediction: a spot welding case study from Bosch.
Procedia Computer Science.
Vol. 232.
https://doi.org/10.1016/j.procs.2024.01.128
Zheng, Zhuoxun;
Zhou, Baifan
; Yang, Hui; Tan, Zhipeng; Sun, Zequn; Li, Chunnong; Waaler, Arild Torolv Søetorp; Kharlamov, Evgeny; Soylu, Ahmet
(2024).
Knowledge graph embedding closed under composition.
32 p.
Data mining and knowledge discovery.
Vol. 38.
https://doi.org/10.1007/s10618-024-01050-x
Zheng, Zhuoxun;
Zhou, Baifan
; Tan, Zhipeng; Savkovic, Ognjen; Rincon-Yanez, Diego; Nikolov, Nikolay Vladimirov;
Roman, Dumitru
; Soylu, Ahmet; Kharlamov, Evgeny
(2023).
Semantic Cloud System for Scaling Data Science Solutions for Welding at Bosch.
2 p.
CEUR Workshop Proceedings.
Vol. 3632.
http://hdl.handle.net/10852/108302
Zheng, Zhuoxun; Savkovic, Ognjen; Nikolov, Nikolay; Phuc Luu, Huu; Soylu, Ahmet; Kharlamov, Evgeny;
Zhou, Baifan
(2023).
Datalog with External Machine Learning Functions for Automated Cloud Resource Configuration.
5 p.
CEUR Workshop Proceedings.
Vol. 3632.
http://hdl.handle.net/10852/108303
Tan, Zhipeng; Zheng, Zhuoxun; Klironomos, Antonis; Gad-Elrab, Mohamed H.; Xiao, Guohui; Soylu, Ahmet; Kharlamov, Evgeny;
Zhou, Baifan
(2023).
Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring.
5 p.
CEUR Workshop Proceedings.
Vol. 3632.
http://hdl.handle.net/10852/108304
Tan, Zhipeng;
Zhou, Baifan
; Zheng, Zhuoxun; Savkovic, Ognjen; Huang, Ziqiang; Gonzalez, Irlan-Grangel; Soylu, Ahmet; Kharlamov, Evgeny
(2023).
Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case.
Lecture Notes in Computer Science (LNCS).
Vol. 14266.
https://doi.org/10.1007/978-3-031-47243-5_25
Zhou, Baifan
; Nikolov, Nikolay Vladimirov; Zheng, Zhuoxun; Luo, Xianghui; Savkovic, Ognjen;
Roman, Dumitru
; Soylu, Ahmet; Kharlamov, Evgeny
(2023).
Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case.
Lecture Notes in Computer Science (LNCS).
Vol. 14266.
https://doi.org/10.1007/978-3-031-47243-5_21
Qu, Yuanwei;
Zhou, Baifan
; Waaler, Arild Torolv Søetorp; Cameron, David B.
(2023).
Real-Time Event Detection with Random Forests and Temporal Convolutional Networks for More Sustainable Petroleum Industry.
Liu, Fenrong; Sadanandan, Arun Anand; Pham, Duc Nghia; Mursanto, Petrus; Lukose, Dickson (Ed.).
20th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2023 (PRICAI 2023): Trends in Artificial Intelligence
. p. 466-473.
Springer.
https://doi.org/10.1007/978-981-99-7025-4_41
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
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
