| 2026 | KDD | DiKGRec: Generative Recommender Model with Diffusion and Knowledge Graph-Based Reasoning. | Zhuoxun Zheng, Baifan Zhou, Ahmet Soylu, Jie Tang, Evgeny Kharlamov |
| 2025 | DaWaK | Graph Constraint Language for Industrial Knowledge Graphs and Machine Learning. | Zhuoxun Zheng, Ognjen Savkovic, Baifan Zhou, Antonis Klironomos, Evgeny Kharlamov, Ahmet Soylu |
| 2025 | ECAI | User-Centric Question Answering with Explanation for Industrial System Information Modelling. | Yan Zhou, Baifan Zhou, Qianhang Lyu, Arild Waaler, Ingrid Chieh Yu |
| 2025 | INDIN | An LLM-Aided System Information Modelling Methodology Applied in Tennessee Eastman Case. | Qianhang Lyu, Siqi Li, Martin G. Skjveland, Yunqing Rao, Arild Waaler, Baifan Zhou |
| 2025 | INDIN | IMF-PM: Integrating System Information Modelling and Project Management for Industrial Digitalisation. | Qianhang Lyu, Martin G. Skjveland, Yan Zhou, Yunqing Rao, Arild Waaler, Baifan Zhou |
| 2025 | INDIN | Towards Change-Instructed Action and Explanation Generation for Visual Language Action in Autonomous Driving. | Yan Zhou, Baifan Zhou, Ingrid C. Yu |
| 2025 | WWW | 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 |
| 2024 | SIGIR | 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, Ahmet Soylu, Basil Ell, Baifan Zhou, Evgeny Kharlamov, Gong Cheng |
| 2023 | PRICAI | 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 |
| 2022 | CIKM | ExeKG: Executable Knowledge Graph System for User-friendly Data Analytics. | Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Ahmet Soylu, Evgeny Kharlamov |
| 2022 | CIKM | Executable Knowledge Graph for Transparent Machine Learning in Welding Monitoring at Bosch. | Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Ahmet Soylu, Evgeny Kharlamov |
| 2022 | CIKM | ScheRe: Schema Reshaping for Enhancing Knowledge Graph Construction. | Dongzhuoran Zhou, Baifan Zhou, Zhuoxun Zheng, Ahmet Soylu, Ognjen Savkovic, Egor V. Kostylev, Evgeny Kharlamov |
| 2020 | CIKM | 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 |
| 2020 | CIKM | SemFE: Facilitating ML Pipeline Development with Semantics. | Baifan Zhou, Yulia Svetashova, Tim Pychynski, Ildar Baimuratov, Ahmet Soylu, Evgeny Kharlamov |