An ADMM-Incorporated Latent Factorization of Tensors Method for QoS Prediction. - Jiajia Mi; Hao Wu (CoRR, 2022)

RNL: A Robust and Highly-Efficient Model for Time-Aware Web Service QoS Prediction. - Jiajia Mi; Hao Wu (ICIC (4), 2023)

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)

An Incomplete Tensor Tucker decomposition based Traffic Speed Prediction Method. - Jiajia Mi (CoRR, 2023)

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