Temporal Pattern-Aware QoS Prediction via Biased Non-Negative Latent Factorization of Tensors. - Xin Luo 001; Hao Wu 061; Huaqiang Yuan; MengChu Zhou (IEEE Trans. Cybern., 2020)

Discovering Hidden Pattern in Large-scale Dynamically Weighted Directed Network via Latent Factorization of Tensors. - Hao Wu 061; Xin Luo 001; MengChu Zhou (CASE, 2021)

Instance-Frequency-Weighted Regularized, Nonnegative and Adaptive Latent Factorization of Tensors for Dynamic QoS Analysis. - Hao Wu 061; Xin Luo 001 (ICWS, 2021)

Neural Latent Factorization of Tensors for Dynamically Weighted Directed Networks Analysis. - Hao Wu 061; Xin Luo 001; MengChu Zhou (SMC, 2021)

Adjusting Learning Depth in Nonnegative Latent Factorization of Tensors for Accurately Modeling Temporal Patterns in Dynamic QoS Data. - Xin Luo 001; Minzhi Chen; Hao Wu 061; Zhigang Liu 006; Huaqiang Yuan; MengChu Zhou (IEEE Trans Autom. Sci. Eng., 2021)

A PID-incorporated Latent Factorization of Tensors Approach to Dynamically Weighted Directed Network Analysis. - Hao Wu 061; Xin Luo 001; MengChu Zhou; Muhyaddin J. Rawa; Khaled Sedraoui; Aiiad Albeshri (IEEE CAA J. Autom. Sinica, 2022)

A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation. - Xin Luo 001; Hao Wu 061; Zhi Wang 015; Jianjun Wang 003; Deyu Meng (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Advancing Non-Negative Latent Factorization of Tensors With Diversified Regularization Schemes. - Hao Wu 061; Xin Luo 001; MengChu Zhou (IEEE Trans. Serv. Comput., 2022)

Spatio-Temporal Traffic Data Recovery Via Latent Factorization of Tensors Based on Tucker Decomposition. - Jiajia Mi; Hao Wu 061; Weiling Li; Xin Luo 001 (SMC, 2023)

Dynamic Network Representation Based on Latent Factorization of Tensors - Hao Wu 061; Xuke Wu; Xin Luo 001 (Springer, 2023)

Neulft: A Novel Approach to Nonlinear Canonical Polyadic Decomposition on High-Dimensional Incomplete Tensors. - Xin Luo 001; Hao Wu 061; Zechao Li (IEEE Trans. Knowl. Data Eng., 2023)

Temporal pattern-aware QoS prediction by Biased Non-negative Tucker Factorization of tensors. - Peng Tang; Tao Ruan; Hao Wu 061; Xin Luo 001 (Neurocomputing, 2024)

A Fine-Grained Regularization Scheme for Non-negative Latent Factorization of High-Dimensional and Incomplete Tensors. - Hao Wu 061; Yan Qiao; Xin Luo 001 (IEEE Trans. Serv. Comput., 2024)

A Cauchy loss-incorporated nonnegative latent factorization of tensors model for spatiotemporal traffic data recovery. - Hao Wu 061; Jiajia Mi (Neurocomputing, 2025)

Biased Block Term Tensor Decomposition for Temporal Pattern-aware QoS Prediction. - Qu Wang; Xin Liao; Hao Wu 061 (Int. J. Pattern Recognit. Artif. Intell., 2025)

A Novel Tensor Causal Convolution Network Model for Highly-Accurate Representation to Spatio-Temporal Data. - Xin Liao; Hao Wu 061; Xin Luo 001 (IEEE Trans Autom. Sci. Eng., 2025)