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Baifan Zhou

Baifan Zhou

Job title
  • Associate Professor
Visiting address
  • Pilestredet 35, 0166 Oslo
  • Office number: PS437
Phone
  • Office: +47 672 35 181
E-mail
  • baifan.zhou@oslomet.no
Affiliation

About

Baifan Zhous research interests focus on Neuro-Symbolic AI that combines machine learning and knowledge representation and reasoning, including,

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.

Field of study

Informatics

Research groups

Publications and research

Scientific publications

Lyu, Qianhang; Li, Siqi; Skjæveland, Martin G; Rao, Yunqing; Waaler, Arild Torolv Søetorp; Zhou, Baifan (2025). An LLM-Aided System Information Modelling Methodology Applied in Tennessee Eastman Case. IEEE Conference on Industrial Informatics.
https://doi.org/10.1109/INDIN64977.2025.11279579

Antonis, Klironomos,; Zhou, Baifan ; Zhipeng, Tan,; Zheng, Zhuoxun; H., Gad-Elrab, Mohamed; Heiko, Paulheim,; Kharlamov, Evgeny (2025). ExeKGLib: A Platform for Machine Learning Analytics Based on Knowledge Graphs. Lecture Notes in Computer Science (LNCS). Vol. 16141.
https://doi.org/10.1007/978-3-032-09530-5_4

Zhou, Baifan ; Chen, Weiqin (2025). Integrating Digital Accessibility Into Software Engineering Education: A Case Study of Learning Outcomes. Mavrou, Katerina; Encarnação, Pedro (Ed.). Technology for Inclusion and Participation for All: Recent Achievements and Future Directions: 18th International Conference, AAATE 2025, Nicosia, Cyprus, September 10-12, 2025, Proceedings, Part I. Springer Nature.
https://doi.org/10.1007/978-3-032-01628-7_46

Lyu, Qianhang; Skjæveland, Martin G; Zhou, Yan; Rao, Yunqing; Waaler, Arild Torolv Søetorp; Zhou, Baifan (2025). IMF-PM: Integrating System Information Modelling and Project Management for Industrial Digitalisation. Pang, Zhibo; Vyarkin, Valeriy (Ed.). 2025 IEEE 23rd International Conference on Industrial Informatics (INDIN). IEEE (Institute of Electrical and Electronics Engineers).
https://doi.org/10.1109/INDIN64977.2025.11279421

Qu, Yuanwei; Waaler, Arild Torolv Søetorp; Torabi, Anita; Zhou, Baifan (2025). Challenges and Approach: AI for Digitalised Carbon Storage Analysis. CEUR Workshop Proceedings. Vol. 3975.
https://hdl.handle.net/11250/5358884

Antonis, Klironomos,; Zhou, Baifan ; Zheng, Zhuoxun; Gad-Elrab, Mohamed,; Heiko, Paulheim,; Kharlamov, Evgeny (2025). ReaLitE: Enrichment of Relation Embeddings in Knowledge Graphs Using Numeric Literals. Lecture Notes in Computer Science (LNCS). Vol. 15718.
https://doi.org/10.1007/978-3-031-94575-5_3

Zhou, Yan; Zhou, Baifan ; Yu, Ingrid Chieh (2025). Towards Change-Instructed Action and Explanation Generation for Visual Language Action in Autonomous Driving. Pang, Zhibo; Vyarkin, Valeriy (Ed.). 2025 IEEE 23rd International Conference on Industrial Informatics (INDIN). IEEE (Institute of Electrical and Electronics Engineers).
https://doi.org/10.1109/indin64977.2025.11279112

Zhou, Yan; Zhou, Baifan ; Lyu, Qianhang; Waaler, Arild Torolv Søetorp; Yu, Ingrid Chieh (2025). User-Centric Question Answering with Explanation for Industrial System Information Modelling. Frontiers in Artificial Intelligence and Applications. Vol. 413.
https://doi.org/10.3233/faia251478

Zhou, Yan; Zhou, Baifan ; Yu, Ingrid Chieh (2025). NMN-BART:Generating Natural Language Explanations for Visual Question Answering. CEUR Workshop Proceedings. Vol. 3975.
https://doi.org/https://ceur-ws.org/Vol-3975/paper

Zhou, Yan; Zhou, Baifan ; Li, Huajian; Lyu, Qianhang; Qu, Yuanwei; Waaler, Arild Torolv Søetorp; Yu, Ingrid Chieh (2025). Dataset for Industrial Question Answering with Explanation and Scalable Ensemble Generation. Long, Guodong; Blumestein, Michale; Chang, Yi (Ed.). WWW '25: Companion Proceedings of the ACM on Web Conference 2025. p. 825-828. Association for Computing Machinery (ACM).
https://doi.org/10.1145/3701716.3715310



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These publications are obtained from Norwegian Research Information Repository. The list may be incomplete.

Dissemination

Zheng, Zhuoxun; Ognjen, Savković,; Zhou, Baifan ; Antonis, Klironomos,; Kharlamov, Evgeny; Soylu, Ahmet (2025). Graph Constraint Language for Industrial Knowledge Graphs and Machine Learning. The 27th International Conference on Big Data Analytics and Knowledge Discovery. DEXA 2025 Conferences and Workshops.
https://doi.org/10.1007/978-3-032-02215-8_13

Kamburjan, Eduard; Jimenez-Ruiz, Ernesto; Zhou, Baifan ; Waaler, Arild Torolv Søetorp (2024). Preface: Semantic Industrial Information Modelling. CEUR Workshop Proceedings. Vol. 3830.
https://hdl.handle.net/11250/3516142

Qu, Yuanwei; Zheng, Zhuoxun; Zhou, Baifan ; Zhou, Yan; Santos, Nicolau; Savkovic, Ognjen; Waaler, Arild Torolv Søetorp; Cameron, David B. (2023). Towards Data Integrity Verification for More Sustainable Petroleum Industry. The International Semantic Web Conference.
https://hdl.handle.net/11250/4160938

Waaler, Arild Torolv Søetorp; Kharlamov, Evgeny; Zhou, Baifan ; Zhou, Dongzhuoran (2022). Proceedings of the First International Workshop on Semantic Industrial Information Modelling (SemIIM 2022) co-located with the 19th Extended Semantic Web Conference ESWC 2022, Greece, Crete, 30 May 2022. First International Workshop on Semantic Industrial Information Modelling (SemIIM 2022) co-located with the 19th Extended Semantic Web Conference ESWC 2022.
https://hdl.handle.net/11250/5083913

Zhou, Baifan ; Tan, Zhipeng; Zheng, Zhuoxun; Zhou, Dongzhuoran; He, Yunjie; Zhu, Yuqicheng; Yahya, Muhammad; Tran, Trung-Kien; Stepanova, Daria; Gad-Elrab, Mohamed H.; Kharlamov, Evgeny (2022). Neuro-Symbolic AI at Bosch: Data Foundation, Insights, and Deployment. The 21st International Semantic Web Conference (ISWC).
https://hdl.handle.net/11250/4017818

Zhou, Dongzhuoran; Zhou, Baifan ; Zheng, Zhuoxun; Tan, Zhipeng; Kostylev, Egor; Kharlamov, Evgeny (2022). Towards Executable Knowledge Graph Translation. The 21st International Semantic Web Conference (ISWC).
https://hdl.handle.net/11250/4457353

Zhou, Baifan ; Zheng, Zhuoxun; Zhou, Dongzhuoran; Tan, Zhipeng; Savkovic, Ognjen; Yang, Hui; Zhang, Yujia; Kharlamov, Evgeny (2022). Knowledge Graph-Based Semantic System for Visual Analytics in Automatic Manufacturing. The 21st International Semantic Web Conference (ISWC).
https://hdl.handle.net/11250/4887332

Zheng, Zhuoxun; Zhou, Baifan ; Zhou, Dongzhuoran; Soylu, Ahmet; Kharlamov, Evgeny (2022). Executable Knowledge Graph for Transparent Machine Learning in Welding Monitoring at Bosch. Hasan, Mohammad Al; Xiong, Li (Ed.). CIKM'22: Proceedings of the 31st ACM International Conference on Information & Knowledge Management. p. 5102-5103. Association for Computing Machinery (ACM).
https://doi.org/10.1145/3511808.3557512

Zheng, Zhuoxun; Zhou, Baifan ; Dongzhuoran, Zhou; Ahmet, Soylu; Evgeny, Kharlamov (2022). ExeKG: Executable Knowledge Graph System for User-friendly Data Analytics. 31st ACM International Conference on Information and Knowledge Management (CIKM).
https://hdl.handle.net/11250/3791202

Qu, Yuanwei; Zhou, Baifan ; Kharlamov, Evgeny; Giese, Martin (2022). Industrial Geological Information Capture with GeoStructure Ontology. First International Workshop on Semantic Industrial Information Modelling (SemIIM).
https://hdl.handle.net/11250/4794085



See all publications


These publications are obtained from Norwegian Research Information Repository. The list may be incomplete.
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