| Semisupervised feature selection based on relevance and redundancy criteria J Xu, B Tang, H He, H Man IEEE transactions on neural networks and learning systems, 2017 | 140 | 2017 |
| Text2Event: Controllable sequence-to-structure generation for end-to-end event extraction Y Lu, H Lin, J Xu, X Han, J Tang, A Li, L Sun, M Liao, S Chen arXiv preprint arXiv:2106.09232, 2021 | 106 | 2021 |
| Weak supervision for fake news detection via reinforcement learning Y Wang, W Yang, F Ma, J Xu, B Zhong, Q Deng, J Gao Proceedings of the AAAI conference on artificial intelligence 34 (01), 516-523, 2020 | 100 | 2020 |
| DCPE co-training for classification J Xu, H He, H Man Neurocomputing 86, 75-85, 2012 | 69 | 2012 |
| Popularity prediction on online articles with deep fusion of temporal process and content features D Liao, J Xu, G Li, W Huang, W Liu, J Li Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 200-207, 2019 | 60 | 2019 |
| Knowledgeable or educated guess? revisiting language models as knowledge bases B Cao, H Lin, X Han, L Sun, L Yan, M Liao, T Xue, J Xu arXiv preprint arXiv:2106.09231, 2021 | 56 | 2021 |
| Small group human activity recognition Y Yin, G Yang, J Xu, H Man Image Processing (ICIP), 2012 19th IEEE International Conference on, 2709-2712, 2012 | 47 | 2012 |
| L1 graph based on sparse coding for feature selection J Xu, G Yang, H Man, H He International Symposium on Neural Networks, 594-601, 2013 | 42 | 2013 |
| Sparse-Representation-Based Classification with Structure-Preserving Dimension Reduction J Xu, G Yang, Y Yin, H Man, H He Cognitive Computation 6, 608-621, 2014 | 34 | 2014 |
| Feature selection based on sparse imputation J Xu, Y Yin, H Man, H He Neural Networks (IJCNN), The 2012 International Joint Conference on, 1-7, 2012 | 32 | 2012 |
| Dictionary learning based on laplacian score in sparse coding J Xu, H Man International Workshop on Machine Learning and Data Mining in Pattern …, 2011 | 25 | 2011 |
| Surrogate-assisted hybrid-model estimation of distribution algorithm for mixed-variable hyperparameters optimization in convolutional neural networks JY Li, ZH Zhan, J Xu, S Kwong, J Zhang IEEE Transactions on Neural Networks and Learning Systems, 2021 | 24 | 2021 |
| Active learning with query generation for cost-effective text classification YF Yan, SJ Huang, S Chen, M Liao, J Xu Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6583-6590, 2020 | 22 | 2020 |
| Simultaneous learning of pivots and representations for cross-domain sentiment classification L Li, W Ye, M Long, Y Tang, J Xu, J Wang Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8220-8227, 2020 | 18 | 2020 |
| Fully exploiting cascade graphs for real-time forwarding prediction X Tang, D Liao, W Huang, J Xu, L Zhu, M Shen Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 582-590, 2021 | 17 | 2021 |
| A hierarchical neural network architecture for classification J Wang, H He, Y Cao, J Xu, D Zhao Advances in Neural Networks–ISNN 2012, 37-46, 2012 | 10 | 2012 |
| From discourse to narrative: Knowledge projection for event relation extraction J Tang, H Lin, M Liao, Y Lu, X Han, L Sun, W Xie, J Xu arXiv preprint arXiv:2106.08629, 2021 | 9 | 2021 |
| DCPE co-training: Co-training based on diversity of class probability estimation J Xu, H He, H Man Neural Networks (IJCNN), The 2010 International Joint Conference on, 1-7, 2010 | 9 | 2010 |
| Active Dictionary Learning in Sparse Representation Based Classification J Xu, H He, H Man arXiv preprint arXiv:1409.5763, 2014 | 8 | 2014 |
| Dual Quaternion Embeddings for Link Prediction L Gao, H Zhu, HH Zhuo, J Xu Applied Sciences 11 (12), 5572, 2021 | 7 | 2021 |
Haibo HeUniversity of Rhode IslandVerified email at uri.edu
