Predicting Quality of Automated Welding with Machine Learning and Semantics: A Bosch Case Study. - Baifan Zhou; Yulia Svetashova; Seongsu Byeon; Tim Pychynski; Ralf Mikut; Evgeny Kharlamov (CIKM, 2020)

SemFE: Facilitating ML Pipeline Development with Semantics. - Baifan Zhou; Yulia Svetashova; Tim Pychynski; Ildar Baimuratov; Ahmet Soylu; Evgeny Kharlamov (CIKM, 2020)

Ontology-Enhanced Machine Learning: A Bosch Use Case of Welding Quality Monitoring. - Yulia Svetashova; Baifan Zhou; Tim Pychynski; Stefan Schmidt; York Sure-Vetter; Ralf Mikut; Evgeny Kharlamov (ISWC (2), 2020)

SemML: Reusable ML for Condition Monitoring in Discrete Manufacturing. - Yulia Svetashova; Baifan Zhou; Stefan Schmid 002; Tim Pychynski; Evgeny Kharlamov (ISWC (Demos/Industry), 2020)

Semantic ML for Manufacturing Monitoring at Bosch. - Baifan Zhou; Yulia Svetashova; Tim Pychynski; Evgeny Kharlamov (ISWC (Demos/Industry), 2020)

Towards Ontology Reshaping for KG Generation with User-in-the-Loop: Applied to Bosch Welding. - Dongzhuoran Zhou; Baifan Zhou; Jieying Chen 001; Gong Cheng 001; Egor V. Kostylev; Evgeny Kharlamov (IJCKG, 2021)

Scaling Usability of ML Analytics with Knowledge Graphs: Exemplified with A Bosch Welding Case. - Baifan Zhou; Dongzhuoran Zhou; Jieying Chen 001; Yulia Svetashova; Gong Cheng 001; Evgeny Kharlamov (IJCKG, 2021)

SemML: Facilitating development of ML models for condition monitoring with semantics. - Baifan Zhou; Yulia Svetashova; Andre Gusmao; Ahmet Soylu; Gong Cheng 001; Ralf Mikut; Arild Waaler; Evgeny Kharlamov (J. Web Semant., 2021)

Machine Learning Methods for Product Quality Monitoring in Electric Resistance Welding. - Baifan Zhou (2021)

ExeKG: Executable Knowledge Graph System for User-friendly Data Analytics. - Zhuoxun Zheng; Baifan Zhou; Dongzhuoran Zhou; Ahmet Soylu; Evgeny Kharlamov (CIKM, 2022)

Executable Knowledge Graph for Transparent Machine Learning in Welding Monitoring at Bosch. - Zhuoxun Zheng; Baifan Zhou; Dongzhuoran Zhou; Ahmet Soylu; Evgeny Kharlamov (CIKM, 2022)

ScheRe: Schema Reshaping for Enhancing Knowledge Graph Construction. - Dongzhuoran Zhou; Baifan Zhou; Zhuoxun Zheng; Ahmet Soylu; Ognjen Savkovic; Egor V. Kostylev; Evgeny Kharlamov (CIKM, 2022)

Towards Generalized Welding Ontology in Line with ISO and Knowledge Graph Construction. - Muhammad Yahya; Baifan Zhou; Zhuoxun Zheng; Dongzhuoran Zhou; John G. Breslin; Muhammad Intizar Ali; Evgeny Kharlamov (ESWC (Satellite Events), 2022)

Query-Based Industrial Analytics over Knowledge Graphs with Ontology Reshaping. - Zhuoxun Zheng; Baifan Zhou; Dongzhuoran Zhou; Gong Cheng 001; Ernesto Jiménez-Ruiz; Ahmet Soylu; Evgeny Kharlamov (ESWC (Satellite Events), 2022)

The Data Value Quest: A Holistic Semantic Approach at Bosch. - Baifan Zhou; Zhuoxun Zheng; Dongzhuoran Zhou; Gong Cheng 001; Ernesto Jiménez-Ruiz; Trung-Kien Tran; Daria Stepanova 001; Mohamed H. Gad-Elrab; Nikolay Nikolov; Ahmet Soylu; Evgeny Kharlamov (ESWC (Satellite Events), 2022)

Enhancing Knowledge Graph Generation with Ontology Reshaping - Bosch Case. - Dongzhuoran Zhou; Baifan Zhou; Zhuoxun Zheng; Egor V. Kostylev; Gong Cheng 001; Ernesto Jiménez-Ruiz; Ahmet Soylu; Evgeny Kharlamov (ESWC (Satellite Events), 2022)

Towards A Visualisation Ontology for Reusable Visual Analytics. - Baifan Zhou; Zhipeng Tan; Zhuoxun Zheng; Dongzhuoran Zhou; Ognjen Savkovic; Evgeny Kharlamov (IJCKG, 2022)

Industrial Geological Information Capture with GeoStructure Ontology. - Yuanwei Qu; Baifan Zhou; Evgeny Kharlamov; Martin Giese (SemIIM, 2022)

Towards a Visualisation Ontology for Data Analysis in Industrial Applications. - Zhuoxun Zheng; Baifan Zhou; Ahmet Soylu; Evgeny Kharlamov (SemIIM, 2022)

Towards A Statistic Ontology for Data Analysis in Smart Manufacturing. - Zhuoxun Zheng; Baifan Zhou; Dongzhuoran Zhou; Akif Quddus Khan; Ahmet Soylu; Evgeny Kharlamov (ISWC (Posters/Demos/Industry), 2022)

Executable Knowledge Graphs for Machine Learning: A Bosch Case of Welding Monitoring. - Zhuoxun Zheng; Baifan Zhou; Dongzhuoran Zhou; Xianda Zheng; Gong Cheng 001; Ahmet Soylu; Evgeny Kharlamov (ISWC, 2022)

Neuro-Symbolic AI at Bosch: Data Foundation, Insights, and Deployment. - Baifan Zhou; Zhipeng Tan; Zhuoxun Zheng; Dongzhuoran Zhou; Yunjie He; Yuqicheng Zhu; Muhammad Yahya; Trung-Kien Tran; Daria Stepanova 001; Mohamed H. Gad-Elrab; Evgeny Kharlamov (ISWC (Posters/Demos/Industry), 2022)

Ontology Reshaping for Knowledge Graph Construction: Applied on Bosch Welding Case. - Dongzhuoran Zhou; Baifan Zhou; Zhuoxun Zheng; Ahmet Soylu; Gong Cheng 001; Ernesto Jiménez-Ruiz; Egor V. Kostylev; Evgeny Kharlamov (ISWC, 2022)

Towards Executable Knowledge Graph Translation. - Dongzhuoran Zhou; Baifan Zhou; Zhuoxun Zheng; Zhipeng Tan; Egor V. Kostylev; Evgeny Kharlamov (ISWC (Posters/Demos/Industry), 2022)

Knowledge Graph-Based Semantic System for Visual Analytics in Automatic Manufacturing. - Baifan Zhou; Zhuoxun Zheng; Dongzhuoran Zhou; Zhipeng Tan; Ognjen Savkovic; Hui Yang; Yujia Zhang; Evgeny Kharlamov (ISWC (Posters/Demos/Industry), 2022)

Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding. - Baifan Zhou; Tim Pychynski; Markus Reischl; Evgeny Kharlamov; Ralf Mikut (J. Intell. Manuf., 2022)

ExeKGLib: Knowledge Graphs-Empowered Machine Learning Analytics. - Antonis Klironomos; Baifan Zhou; Zhipeng Tan; Zhuoxun Zheng; Mohamed H. Gad-Elrab; Heiko Paulheim; Evgeny Kharlamov (ESWC (Satellite Events), 2023)

Addressing the Scalability Bottleneck of Semantic Technologies at Bosch. - Diego Rincon-Yanez; Mohamed H. Gad-Elrab; Daria Stepanova 001; Kien-Trung Tran; Cuong Chu Xuan; Baifan Zhou; Evgeny Kharlamov (ESWC (Satellite Events), 2023)

Implementation of Zero Defect Manufacturing using quality prediction: a spot welding case study from Bosch. - Foivos Psarommatis; Baifan Zhou; Evgeny Kharlamov (ISM, 2023)

Real-Time Event Detection with Random Forests and Temporal Convolutional Networks for More Sustainable Petroleum Industry. - Yuanwei Qu; Baifan Zhou; Arild Waaler; David B. Cameron (PRICAI (3), 2023)

Towards Standardised Product Data Exchange with Information Modelling Framework at Siemens Energy. - Maja Milicic Brandt; Foivos Psarommatis; Christophe Simon; Arild Waaler; Baifan Zhou (SemIIM, 2023)

Towards Data Integrity Verification for More Sustainable Petroleum Industry. - Yuanwei Qu; Zhuoxun Zheng; Baifan Zhou; Yan Zhou; Nicolau Santos; Ognjen Savkovic; Arild Waaler; David B. Cameron (ISWC (Posters/Demos/Industry), 2023)

Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring. - Zhipeng Tan; Zhuoxun Zheng; Antonis Klironomos; Mohamed H. Gad-Elrab; Guohui Xiao 001; Ahmet Soylu; Evgeny Kharlamov; Baifan Zhou (ISWC (Posters/Demos/Industry), 2023)

Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case. - Zhipeng Tan; Baifan Zhou; Zhuoxun Zheng; Ognjen Savkovic; Ziqi Huang; Irlán Grangel-González; Ahmet Soylu; Evgeny Kharlamov (ISWC, 2023)

Datalog with External Machine Learning Functions for Automated Cloud Resource Configuration. - Zhuoxun Zheng; Ognjen Savkovic; Huu Phuc Luu; Ahmet Soylu; Evgeny Kharlamov; Baifan Zhou (ISWC (Posters/Demos/Industry), 2023)

Semantic Cloud System for Scaling Data Science Solutions for Welding at Bosch. - Zhuoxun Zheng; Baifan Zhou; Zhipeng Tan; Ognjen Savkovic; Diego Rincon-Yanez; Nikolay Nikolov; Dumitru Roman; Ahmet Soylu; Evgeny Kharlamov (ISWC (Posters/Demos/Industry), 2023)

Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case. - Baifan Zhou; Nikolay Nikolov; Zhuoxun Zheng; Xianghui Luo; Ognjen Savkovic; Dumitru Roman; Ahmet Soylu; Evgeny Kharlamov (ISWC, 2023)

Semantic Modeling, Development and Evaluation for the Resistance Spot Welding Industry. - Muhammad Yahya; Baifan Zhou; John G. Breslin; Muhammad Intizar Ali; Evgeny Kharlamov (IEEE Access, 2023)

Low-Dimensional Hyperbolic Knowledge Graph Embedding for Better Extrapolation to Under-Represented Data. - Zhuoxun Zheng; Baifan Zhou; Hui Yang; Zhipeng Tan; Arild Waaler; Evgeny Kharlamov; Ahmet Soylu (ESWC (1), 2024)

Integrating I4.0 Knowledge Graphs with Large Language Models Beyond SPARQL Endpoints. - Abdul Wahid; Muhammad Yahya; Farooq Zaman; Baifan Zhou; John G. Breslin; Muhammad Intizar Ali; Evgeny Kharlamov (SOFLIM2KG-SemIIM@ISWC, 2024)

ACORDAR 2.0: A Test Collection for Ad Hoc Dataset Retrieval with Densely Pooled Datasets and Question-Style Queries. - Qiaosheng Chen; Weiqing Luo; Zixian Huang; Tengteng Lin; Xiaxia Wang 001; Ahmet Soylu; Basil Ell; Baifan Zhou; Evgeny Kharlamov; Gong Cheng 001 (SIGIR, 2024)

Knowledge graph embedding closed under composition. - Zhuoxun Zheng; Baifan Zhou; Hui Yang; Zhipeng Tan; Zequn Sun; Chunnong Li; Arild Waaler; Evgeny Kharlamov; Ahmet Soylu (Data Min. Knowl. Discov., 2024)

ReaLitE: Enrichment of Relation Embeddings in Knowledge Graphs Using Numeric Literals. - Antonis Klironomos; Baifan Zhou; Zhuoxun Zheng; Mohamed H. Gad-Elrab; Heiko Paulheim; Evgeny Kharlamov (ESWC (1), 2025)

Challenges and Approach: AI for Digitalised Carbon Storage Analysis. - Yuanwei Qu; Arild Waaler; Anita Torabi; Baifan Zhou (NAIS, 2025)

NMN-BART: Generating Natural Language Explanations for Visual Question Answering. - Yan Zhou; Baifan Zhou; Ingrid C. Yu (NAIS, 2025)

Dataset for Industrial Question Answering with Explanation and Scalable Ensemble Generation. - Yan Zhou; Baifan Zhou; Huajian Li; Qianhang Lyu; Yuanwei Qu; Arild Waaler; Ingrid C. Yu (WWW (Companion Volume), 2025)