Fanghui Bi

11 papers A* 1B 2Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Discovering Spatiotemporal-Individual Coupled Features From Nonstandard Tensors - A Novel Dynamic Graph Mixer Approach.
IEEE Trans. Neural Networks Learn. Syst.
Fanghui Bi, Tiantian He, Yew-Soon Ong, Xin Luo
2025 J jnl
Graph Linear Convolution Pooling for Learning in Incomplete High-Dimensional Data.
IEEE Trans. Knowl. Data Eng.
Fanghui Bi, Tiantian He, Yew-Soon Ong, Xin Luo
2024 J jnl
A Fast Nonnegative Autoencoder-Based Approach to Latent Feature Analysis on High-Dimensional and Incomplete Data.
IEEE Trans. Serv. Comput.
Fanghui Bi, Tiantian He, Xin Luo
2024 J jnl
A Novel Spatiotemporal Coupling Graph Convolutional Network.
CoRR
Fanghui Bi
2024 B conf
Discrete Multi-View Feature Propagation Preserving Graph Clustering.
SMC
Zhixuan Duan, Zuo Wang, Fanghui Bi, Tiantian He
2024 J jnl
Graph Clustering with Cross-View Feature Propagation.
CoRR
Zhixuan Duan, Zuo Wang, Fanghui Bi
2024 B conf
SCG: A Novel Spatiotemporal Coupling Graph Convolutional Network-Incorporated Approach for Dynamic QoS Estimation.
SMC
Fanghui Bi, Tiantian He
2023 J jnl
Proximal Alternating-Direction-Method-of-Multipliers-Incorporated Nonnegative Latent Factor Analysis.
IEEE CAA J. Autom. Sinica
Fanghui Bi, Xin Luo, Bo Shen, Hongli Dong, Zidong Wang
2023 J jnl
Two-Stream Graph Convolutional Network-Incorporated Latent Feature Analysis.
IEEE Trans. Serv. Comput.
Fanghui Bi, Tiantian He, Yuetong Xie, Xin Luo
2022 A* conf
A Two-Stream Light Graph Convolution Network-based Latent Factor Model for Accurate Cloud Service QoS Estimation.
ICDM
Fanghui Bi, Tiantian He, Xin Luo
2021 — conf
A Proximal Alternating-direction-method-of-multipliers-based Nonnegative Latent Factor Model.
ICBK
Fanghui Bi, Di Wu