| Temporal Knowledge Graph Completion based on Time Series Gaussian Embedding C Xu, M Nayyeri, F Alkhoury, HS Yazdi, J Lehmann International Semantic Web Conference 2020, 654-671, 2020 | 175* | 2020 |
| Tero: A time-aware knowledge graph embedding via temporal rotation C Xu, M Nayyeri, F Alkhoury, HS Yazdi, J Lehmann Proceedings of the 28th International Conference on Computational …, 2020 | 146 | 2020 |
| Pattern recognition based on time-frequency analysis and convolutional neural networks for vibrational events in -OTDR C Xu, J Guan, M Bao, J Lu, W Ye Optical Engineering 57 (1), 016103-016103, 2018 | 118 | 2018 |
| Temporal knowledge graph completion using a linear temporal regularizer and multivector embeddings C Xu, YY Chen, M Nayyeri, J Lehmann Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 102 | 2021 |
| Think-on-graph: Deep and responsible reasoning of large language model with knowledge graph J Sun, C Xu, L Tang, S Wang, C Lin, Y Gong, HY Shum, J Guo ICLR2024, 2024 | 100 | 2024 |
| Pattern recognition based on enhanced multifeature parameters for vibration events in φ‐OTDR distributed optical fiber sensing system C Xu, J Guan, M Bao, J Lu, W Ye Microwave and Optical Technology Letters 59 (12), 3134-3141, 2017 | 88 | 2017 |
| Disturbance pattern recognition based on an ALSTM in a long‐distance φ‐OTDR sensing system X Chen, C Xu Microwave and Optical Technology Letters 62 (1), 168-175, 2020 | 52 | 2020 |
| Time-aware Graph Neural Networks for Entity Alignment between Temporal Knowledge Graphs C Xu, F Su, J Lehmann Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 49 | 2021 |
| Ultrahyperbolic Knowledge Graph Embeddings B Xiong, S Zhu, M Nayyeri, C Xu, S Pan, C Zhou, S Staab ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD-22, 2022 | 34 | 2022 |
| Time-aware entity alignment using temporal relational attention C Xu, F Su, B Xiong, J Lehmann Proceedings of the ACM Web Conference 2022, 788-797, 2022 | 34 | 2022 |
| Logicenn: A neural based knowledge graphs embedding model with logical rules M Nayyeri, C Xu, MM Alam, J Lehmann, HS Yazdi IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (6), 7050-7062, 2021 | 24 | 2021 |
| Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models. M Nayyeri, C Xu, Y Yaghoobzadeh, S Vahdati, MM Alam, HS Yazdi, ... PAKDD (3), 77-89, 2021 | 21* | 2021 |
| Self-learning filtering method based on classification error in distributed fiber optic system P Zhu, C Xu, W Ye, M Bao IEEE Sensors Journal 19 (19), 8929-8933, 2019 | 20 | 2019 |
| Geometric Algebra based Embeddings for Static and Temporal Knowledge Graph Completion C Xu, M Nayyeri, YY Chen, J Lehmann IEEE Transactions on Knowledge and Data Engineering, 1-1, 2022 | 19 | 2022 |
| Knowledge graph embeddings in geometric algebras C Xu, M Nayyeri, YY Chen, J Lehmann Proceedings of the 28th International Conference on Computational …, 2020 | 19 | 2020 |
| Knowledge graph representation learning using ordinary differential equations M Nayyeri, C Xu, F Hoffmann, MM Alam, J Lehmann, S Vahdati Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 15 | 2021 |
| Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph Embeddings C Xu, M Nayyeri, S Vahdati, J Lehmann International Joint Conference on Neural Network 2021, 2021 | 14 | 2021 |
| Chartbench: A benchmark for complex visual reasoning in charts Z Xu, S Du, Y Qi, C Xu, C Yuan, J Guo arXiv preprint arXiv:2312.15915, 2023 | 13 | 2023 |
| Fantastic knowledge graph embeddings and how to find the right space for them M Nayyeri, C Xu, S Vahdati, N Vassilyeva, E Sallinger, HS Yazdi, ... The Semantic Web–ISWC 2020: 19th International Semantic Web Conference …, 2020 | 13 | 2020 |
| Incorporating Structured Sentences with Time-enhanced BERT for Fully-inductive Temporal Relation Prediction Z Chen, C Xu, F Su, Z Huang, Y Dou Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 12* | 2023 |
Jens LehmannPrincipal Scientist at Amazon Inc., Honorary Professor at TU DresdenVerified email at amazon.com
