A content-based recommender system for computer science publications D Wang, Y Liang, D Xu, X Feng, R Guan Knowledge-based systems 157, 1-9, 2018 | 475 | 2018 |
Text classification based on deep belief network and softmax regression M Jiang, Y Liang, X Feng, X Fan, Z Pei, Y Xue, R Guan Neural Computing and Applications 29, 61-70, 2018 | 332 | 2018 |
Text clustering with seeds affinity propagation R Guan, X Shi, M Marchese, C Yang, Y Liang IEEE Transactions on Knowledge and Data Engineering 23 (4), 627-637, 2010 | 167 | 2010 |
Deep Feature-Based Text Clustering and Its Explanation R Guan, H Zhang, Y Liang, F Giunchiglia, L Huang, X Feng IEEE Transactions on Knowledge and Data Engineering 34 (8), 3669 - 3680, 2022 | 121 | 2022 |
Lunar impact craters identification and age estimation with Chang'E data by deep and transfer learning C Yang, H Zhao, L Bruzzone, JA Benediktsson, Y Liang, B Liu, X Zeng, ... Nature Communications 11, 6358, 2020 | 102 | 2020 |
Multi-BP expert system for fault diagnosis of powersystem D Ma, Y Liang, X Zhao, R Guan, X Shi Engineering Applications of Artificial Intelligence 26 (3), 937-944, 2013 | 100 | 2013 |
An integrated algorithm based on artificial bee colony and particle swarm optimization X Shi, Y Li, H Li, R Guan, L Wang, Y Liang 2010 Sixth international conference on natural computation 5, 2586-2590, 2010 | 94 | 2010 |
A comparative study for biomedical named entity recognition X Wang, C Yang, R Guan International Journal of Machine Learning and Cybernetics 9, 373-382, 2018 | 85 | 2018 |
The deep learning–based recommender system “Pubmender” for choosing a biomedical publication venue: Development and validation study X Feng, H Zhang, Y Ren, P Shang, Y Zhu, Y Liang, R Guan, D Xu Journal of medical Internet research 21 (5), e12957, 2019 | 81 | 2019 |
A fuzzy-statistics-based affinity propagation technique for clustering in multispectral images C Yang, L Bruzzone, F Sun, L Lu, R Guan, Y Liang IEEE Transactions on Geoscience and Remote Sensing 48 (6), 2647-2659, 2010 | 74 | 2010 |
Deep attention diffusion graph neural networks for text classification Y Liu, R Guan, F Giunchiglia, Y Liang, X Feng Proceedings of the 2021 conference on empirical methods in natural language …, 2021 | 72 | 2021 |
Hetpathmine: A novel transductive classification algorithm on heterogeneous information networks C Luo, R Guan, Z Wang, C Lin Advances in Information Retrieval: 36th European Conference on IR Research …, 2014 | 68 | 2014 |
Dimension reduction and clustering models for single-cell RNA sequencing data: a comparative study C Feng, S Liu, H Zhang, R Guan, D Li, F Zhou, Y Liang, X Feng International journal of molecular sciences 21 (6), 2181, 2020 | 63 | 2020 |
A hybrid swarm intelligent method based on genetic algorithm and artificial bee colony H Zhao, Z Pei, J Jiang, R Guan, C Wang, X Shi Advances in Swarm Intelligence: First International Conference, ICSI 2010 …, 2010 | 62 | 2010 |
Hyperspectral band selection for lithologic discrimination and geological mapping Y Tan, L Lu, L Bruzzone, R Guan, Z Chang, C Yang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 60 | 2020 |
A fuzzy-statistics-based principal component analysis (FS-PCA) method for multispectral image enhancement and display C Yang, L Lu, H Lin, R Guan, X Shi, Y Liang IEEE Transactions on Geoscience and Remote Sensing 46 (11), 3937-3947, 2008 | 58 | 2008 |
An efficient fault diagnostic method for three-phase induction motors based on incremental broad learning and non-negative matrix factorization SB Jiang, PK Wong, R Guan, Y Liang, J Li IEEE Access 7, 17780-17790, 2019 | 54 | 2019 |
Superpixel-based unsupervised band selection for classification of hyperspectral images C Yang, L Bruzzone, H Zhao, Y Tan, R Guan IEEE Transactions on Geoscience and Remote Sensing 56 (12), 7230-7245, 2018 | 51 | 2018 |
Image captioning with bidirectional semantic attention-based guiding of long short-term memory P Cao, Z Yang, L Sun, Y Liang, MQ Yang, R Guan Neural processing letters 50, 103-119, 2019 | 48 | 2019 |
Overfitting reduction of text classification based on AdaBELM X Feng, Y Liang, X Shi, D Xu, X Wang, R Guan Entropy 19 (7), 330, 2017 | 43 | 2017 |