| Spectral clustering via half-quadratic optimization X Zhu, J Gan, G Lu, J Li, S Zhang World Wide Web 23, 1969-1988, 2020 | 78 | 2020 |
| Semi-supervised classification of graph convolutional networks with Laplacian rank constraints H Zhang, G Lu, M Zhan, B Zhang Neural Processing Letters, 1-12, 2022 | 63 | 2022 |
| Multi-task learning using variational auto-encoder for sentiment classification G Lu, X Zhao, J Yin, W Yang, B Li Pattern Recognition Letters 132, 115-122, 2020 | 46 | 2020 |
| Aspect sentiment analysis with heterogeneous graph neural networks G Lu, J Li, J Wei Information Processing & Management 59 (4), 102953, 2022 | 39 | 2022 |
| Multi-task learning using a hybrid representation for text classification G Lu, J Gan, J Yin, Z Luo, B Li, X Zhao Neural Computing and Applications 32 (11), 6467-6480, 2020 | 24 | 2020 |
| Difference factor’KNN collaborative filtering recommendation algorithm W Liang, G Lu, X Ji, J Li, D Yuan Advanced Data Mining and Applications: 10th International Conference, ADMA …, 2014 | 16 | 2014 |
| Multi-view representation model based on graph autoencoder J Li, G Lu, Z Wu, F Ling Information Sciences 632, 439-453, 2023 | 15 | 2023 |
| Learning representation from concurrence-words graph for aspect sentiment classification G Lu, J Huang The Computer Journal 64 (7), 1069-1079, 2021 | 9 | 2021 |
| Graph convolutional networks of reconstructed graph structure with constrained Laplacian rank M Zhan, J Gan, G Lu, Y Wan Multimedia Tools and Applications 81 (24), 34183-34194, 2022 | 7 | 2022 |
| Personalized headline generation with enhanced user interest perception K Zhang, G Lu, G Zhang, Z Lei, L Wu International Conference on Artificial Neural Networks, 797-809, 2022 | 6 | 2022 |
| Unsupervised feature selection with graph learning via low-rank constraint G Lu, B Li, W Yang, J Yin Multimedia Tools and Applications 77 (22), 29531-29549, 2018 | 6 | 2018 |
| Multi-view graph autoencoder for unsupervised graph representation learning J Li, G Lu, Z Wu 2022 26th International Conference on Pattern Recognition (ICPR), 2213-2218, 2022 | 5 | 2022 |
| Dgrl: text classification with deep graph residual learning B Chen, G Lu, B Peng, W Zhang Advanced Data Mining and Applications: 16th International Conference, ADMA …, 2020 | 5 | 2020 |
| Sparse graph connectivity for image segmentation X Zhu, S Zhang, J Zhang, Y Li, G Lu, Y Yang ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (4), 1-19, 2020 | 4 | 2020 |
| Link prediction in multilayer networks using weighted reliable local random walk algorithm Z Luo, J Yin, G Lu, MR Rahimi Expert Systems with Applications 247, 123304, 2024 | 3 | 2024 |
| Self-paced hybrid dilated convolutional neural networks W Zhang, G Lu, S Zhang, Y Li Multimedia Tools and Applications, 1-13, 2022 | 3 | 2022 |
| Multi-teacher Self-training for Semi-supervised Node Classification with Noisy Labels Y Liu, Z Wu, Z Lu, G Wen, J Ma, G Lu, X Zhu Proceedings of the 31st ACM International Conference on Multimedia, 2946-2954, 2023 | 2 | 2023 |
| A self-supervised graph autoencoder with barlow twins J Li, G Lu, J Li Pacific Rim International Conference on Artificial Intelligence, 501-512, 2022 | 2 | 2022 |
| Using locality preserving projections to improve the performance of kernel clustering M Zhan, G Lu, G Wen, L Zhang, L Wu Neural Processing Letters 52, 1827-1842, 2020 | 2 | 2020 |
| A clustering algorithm via kernel function and locality preserving projections M Zhan, G Lu, G Wen, L Zhang, L Wu 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2620-2625, 2019 | 2 | 2019 |
Shichao ZhangGuangxi Normal University在 mailbox.gxnu.edu.cn 的电子邮件经过验证
