| A transfer learning method for automatic identification of sandstone microscopic images N Li, H Hao, Q Gu, D Wang, X Hu Computers & Geosciences 103, 111-121, 2017 | 116 | 2017 |
| A unified target-oriented sequence-to-sequence model for emotion-cause pair extraction Z Cheng, Z Jiang, Y Yin, N Li, Q Gu IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 2779-2791, 2021 | 43 | 2021 |
| 基于内容的图像分割方法综述 姜枫， 顾庆， 郝慧珍， 李娜， 郭延文， 陈道蓄 软件学报 28 (1), 160-183, 2016 | 32 | 2016 |
| A method for automatic grain segmentation of multi-angle cross-polarized microscopic images of sandstone F Jiang, Q Gu, H Hao, N Li, B Wang, X Hu Computers & Geosciences 115, 143-153, 2018 | 28 | 2018 |
| Ontology completion using graph convolutional networks N Li, Z Bouraoui, S Schockaert The Semantic Web–ISWC 2019: 18th International Semantic Web Conference …, 2019 | 25 | 2019 |
| Cross-project defect prediction method based on feature transfer and instance transfer 倪超， 陈翔， 刘望舒， 顾庆， 黄启国， 李娜 Journal of Software 30 (5), 1308-1329, 2019 | 17 | 2019 |
| Grain segmentation of multi-angle petrographic thin section microscopic images F Jiang, Q Gu, H Hau, N Li 2017 IEEE International Conference on Image Processing (ICIP), 3879-3883, 2017 | 13 | 2017 |
| A multi-task multi-class learning method for automatic identification of heavy minerals from river sand N Li, H Hao, Z Jiang, F Jiang, R Guo, Q Gu, X Hu Computers & geosciences 135, 104403, 2020 | 11 | 2020 |
| Feature extraction and grain segmentation of sandstone images based on convolutional neural networks F Jiang, Q Gu, H Hao, N Li 2018 24th International Conference on Pattern Recognition (ICPR), 2636-2641, 2018 | 9 | 2018 |
| Modelling general properties of nouns by selectively averaging contextualised embeddings N Li, Z Bouraoui, JC Collados, L Espinosa-Anke, Q Gu, S Schockaert arXiv preprint arXiv:2012.07580, 2020 | 7 | 2020 |
| Grain segmentation of sandstone thin section images based on semantic feature extraction F Jiang, Q Gu, HZ Hao, N Li, XM Hu Sci. Sin. Inf 50, 109-127, 2020 | 7 | 2020 |
| Ultra-fine entity typing with prior knowledge about labels: A simple clustering based strategy N Li, Z Bouraoui, S Schockaert arXiv preprint arXiv:2305.12802, 2023 | 4 | 2023 |
| Grain segmentation of sandstone images based on convolutional neural networks and weighted fuzzy clustering F Jiang, N Li, L Zhou IET Image Processing 14 (14), 3499-3507, 2020 | 4 | 2020 |
| Feature Representation Method of Microscopic Sandstone Images Based on Convolutional Neural Network 李娜， 顾庆， 姜枫， 郝慧珍， 于华， 倪超 Journal of Software 31 (11), 3621-3639, 2020 | 4* | 2020 |
| Distilling semantic concept embeddings from contrastively fine-tuned language models N Li, H Kteich, Z Bouraoui, S Schockaert Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 3 | 2023 |
| 基于语义特征提取的砂岩薄片图像颗粒分割方法 姜枫， 顾庆， 郝慧珍， 李娜， 胡修棉 中国科学: 信息科学 50 (1), 109-127, 2020 | 3 | 2020 |
| What do deck chairs and sun hats have in common? Uncovering shared properties in large concept vocabularies A Gajbhiye, Z Bouraoui, N Li, U Chatterjee, LE Anke, S Schockaert arXiv preprint arXiv:2310.14793, 2023 | 1 | 2023 |
| Ontology Completion with Natural Language Inference and Concept Embeddings: An Analysis N Li, T Bailleux, Z Bouraoui, S Schockaert arXiv preprint arXiv:2403.17216, 2024 | | 2024 |
| Modelling Commonsense Commonalities with Multi-Facet Concept Embeddings H Kteich, N Li, U Chatterjee, Z Bouraoui, S Schockaert arXiv preprint arXiv:2403.16984, 2024 | | 2024 |
| 砂岩显微图像分析方法及其工具实现 郝慧珍， 姜枫， 李娜， 顾庆 计算机科学 44 (11), 50-55, 2017 | | 2017 |
Steven SchockaertCardiff UniversityEmail verificata su cs.cardiff.ac.uk
