Baifan Zhou

Vitenskapelige publikasjoner

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 s. 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 s. 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 s. 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 s. 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 (Red.). 20th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2023 (PRICAI 2023): Trends in Artificial Intelligence . s. 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 s. 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

Formidling

Chen, Qiaosheng; Luo, Weiqing; Huang, Zixian; Lin, Tengteng; Wang, Xiaxia; Soylu, Ahmet; Ell, Basil; Zhou, Baifan ; Kharlamov, Evgeny; Cheng, Gong (2024). ACORDAR 2.0: A Test Collection for Ad Hoc Dataset Retrieval with Densely Pooled Datasets and Question-Style Queries. 47th International ACM SIGIR Conference on Research and Development in Information Retrieval.

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

Zheng, Zhuoxun; Zhou, Baifan ; Yang, Hui; Tan, Zhipeng; Waaler, Arild Torolv Søetorp; Kharlamov, Evgeny; Soylu, Ahmet (2024). Low-Dimensional Hyperbolic Knowledge Graph Embedding for Better Extrapolation to Under-Represented Data. Extended Semantic Web Conference.

Brandt, Maja Miličić; Psarommatis, Foivos; Simon, Christophe; Waaler, Arild Torolv Søetorp; Zhou, Baifan (2023). Towards Standardised Product Data Exchange with Information Modelling Framework at Siemens Energy. Second International Workshop on Semantic Industrial Information Modelling (SemIIM) Co-located with the International Semantic Web Conference (ISWC 2023).

Rincon-Yanez, Diego; Gad-Elrab, Mohamed H.; Stepanova, Daria; Tran, Kien Trung; Xuan, Cuong Chu; Zhou, Baifan ; Kharlamov, Evgeny (2023). Addressing the Scalability Bottleneck of Semantic Technologies at Bosch. Extended Semantic Web Conference.

Klironomos, Antonis; Zhou, Baifan ; Zhipeng, Tan; Zhuoxun, Zheng; Mohamed, H. Gad-Elrab; Paulheim, Heiko; Kharlamov, Evgeny (2023). ExeKGLib: Knowledge Graphs-Empowered Machine Learning Analytics. Extended Semantic Web Conference.
https://link.springer.com/chapter/10.1007/978-3-03

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://ceur-ws.org/Vol-3632/ISWC2023_paper_436.pd

Zhou, Baifan ; Tan, Zhipeng; Zheng, Zhuoxun; Zhou, Dongzhuoran; Savkovic, Ognjen; Kharlamov, Evgeny (2022). Towards A Visualisation Ontology for Reusable Visual Analytics. 11th International Joint Conference on Knowledge Graphs (IJCKG 2022).

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.

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