| On redundant topological constraints S Li, Z Long, W Liu, M Duckham, A Both Artificial Intelligence 225, 51-76, 2015 | 38 | 2015 |
| On Distributive Subalgebras of Qualitative Spatial and Temporal Calculi Z Long, S Li Spatial Information Theory, 354-374, 2015 | 36 | 2015 |
| Efficient path consistency algorithm for large qualitative constraint networks Z Long, M Sioutis, S Li IJCAI International Joint Conference on Artificial Intelligence, 2016 | 26 | 2016 |
| A complete classification of spatial relations using the Voronoi-based nine-intersection model Z Long, S Li International Journal of Geographical Information Science 27 (10), 2006-2025, 2013 | 25 | 2013 |
| Clustering based on local density peaks and graph cut Z Long, Y Gao, H Meng, Y Yao, T Li Information Sciences 600, 263-286, 2022 | 24 | 2022 |
| Efficiently reasoning about qualitative constraints through variable elimination M Sioutis, Z Long, S Li Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 1-10, 2016 | 17 | 2016 |
| On robustness in qualitative constraint networks M Sioutis, Z Long, T Janhunen Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 12 | 2021 |
| Leveraging variable elimination for efficiently reasoning about qualitative constraints M Sioutis, Z Long, S Li International Journal on Artificial Intelligence Tools 27 (04), 1860001, 2018 | 12 | 2018 |
| Indexing large geographic datasets with compact qualitative representation Z Long, M Duckham, S Li, S Schockaert International Journal of Geographical Information Science 30 (6), 1072-1094, 2016 | 11 | 2016 |
| On redundant topological constraints M Duckham, S Li, W Liu, Z Long Fourteenth International Conference on the Principles of Knowledge …, 2014 | 11 | 2014 |
| Fast flexible bipartite graph model for co-clustering W Chen, H Wang, Z Long, T Li IEEE Transactions on Knowledge and Data Engineering 35 (7), 6930-6940, 2022 | 10 | 2022 |
| Encoding Large RCC8 Scenarios Using Rectangular Pseudo-Solutions Z Long, S Schockaert, S Li Fifteenth International Conference on the Principles of Knowledge …, 2016 | 10 | 2016 |
| On redundancy in simple temporal networks JH Lee, S Li, Z Long, M Sioutis ECAI 2016, 828-836, 2016 | 8 | 2016 |
| Semi-supervised dimensionality reduction by linear compression and stretching Z Long, H Meng, M Sioutis IEEE Access 8, 27308-27317, 2020 | 5 | 2020 |
| On Tree-Preserving Constraints S Kong, S Li, Y Li, Z Long International Conference on Principles and Practice of Constraint …, 2015 | 5 | 2015 |
| Linear dimensionality reduction method based on topological properties Y Yao, H Meng, Y Gao, Z Long, T Li Information Sciences 624, 493-511, 2023 | 4 | 2023 |
| Qualitative spatial and temporal representation and reasoning: efficiency in time and space Z Long | 4 | 2017 |
| Component preserving and adaptive Laplacian Eigenmaps for data reconstruction and dimensionality reduction H Zhang, Y Ding, H Meng, S Ma, Z Long Machine Learning, Multi Agent and Cyber Physical Systems: Proceedings of the …, 2023 | 2 | 2023 |
| On Neuro-Symbolic Challenges in Directional Relation Prediction. J Peng, M Sioutis, Z Long STRL@ IJCAI, 2023 | 2 | 2023 |
| Approximating region boundaries based on qualitative and quantitative information Z Long, M Sioutis, Q Li, H Meng, HC Li IEEE Intelligent Systems 37 (6), 38-47, 2022 | 2 | 2022 |
