Two-stream graph convolutional network-incorporated latent feature analysis F Bi, T He, Y Xie, X Luo IEEE Transactions on Services Computing 16 (4), 3027-3042, 2023 | 64 | 2023 |
Proximal alternating-direction-method-of-multipliers-incorporated nonnegative latent factor analysis F Bi, X Luo, B Shen, H Dong, Z Wang IEEE/CAA Journal of Automatica Sinica 10 (6), 1388-1406, 2023 | 48 | 2023 |
A fast nonnegative autoencoder-based approach to latent feature analysis on high-dimensional and incomplete data F Bi, T He, X Luo IEEE Transactions on Services Computing 17 (3), 733-746, 2023 | 37 | 2023 |
A two-stream light graph convolution network-based latent factor model for accurate cloud service QoS estimation F Bi, T He, X Luo 2022 IEEE International Conference on Data Mining (ICDM), 855-860, 2022 | 12 | 2022 |
A proximal alternating-direction-method-of-multipliers-based nonnegative latent factor model F Bi, D Wu 2021 IEEE International Conference on Big Knowledge (ICBK), 353-360, 2021 | 3 | 2021 |
Graph Linear Convolution Pooling for Learning in Incomplete High-Dimensional Data F Bi, T He, YS Ong, X Luo IEEE Transactions on Knowledge and Data Engineering, 2024 | | 2024 |
Discrete Multi-View Feature Propagation Preserving Graph Clustering Z Duan, Z Wang, F Bi, T He 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2024 | | 2024 |
SCG: A Novel Spatiotemporal Coupling Graph Convolutional Network-Incorporated Approach for Dynamic QoS Estimation F Bi, T He 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2024 | | 2024 |