Study on the Model of. - Zimin Jin; Xiaoju Luo; Jiajia Shen; Yuxiu Yan; Minzhi Chen (JCAI, 2009)

Momentum-incorporated Latent Factorization of Tensors for Extracting Temporal Patterns from QoS Data. - Minzhi Chen; Hao Wu; Chunlin He; Sili Chen (SMC, 2019)

A momentum-incorporated latent factorization of tensors model for temporal-aware QoS missing data prediction. - Qingxian Wang 001; Minzhi Chen; Mingsheng Shang 001; Xin Luo 001 (Neurocomputing, 2019)

A Diverse Biases Non-negative Latent Factorization of Tensors Model for Dynamic Network Link Prediction. - Xuke Wu; Hang Gou; Hao Wu; Juan Wang; Minzhi Chen; Siyu Lai (ICNSC, 2020)

Efficient Representation to Dynamic QoS Data via Generalized Nesterov's Accelerated Gradient-incorporated Biased Non-negative Latent Factorization of Tensors. - Minzhi Chen; Xin Luo 001 (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 Breif Review on Data-driven Battery Health Estimation Methods for Energy Storage Systems. - Minzhi Chen; Hao Wu (ICNSC, 2022)

An overview of data-driven battery health estimation technology for battery management system. - Minzhi Chen; Guijun Ma; Weibo Liu 001; Nianyin Zeng; Xin Luo 001 (Neurocomputing, 2023)

MNL: A Highly-Efficient Model for Large-scale Dynamic Weighted Directed Network Representation. - Minzhi Chen; Chunlin He; Xin Luo 001 (IEEE Trans. Big Data, 2023)

A Generalized Nesterov's Accelerated Gradient-Incorporated Non-Negative Latent-Factorization-of-Tensors Model for Efficient Representation to Dynamic QoS Data. - Minzhi Chen; Renfang Wang; Yan Qiao; Xin Luo 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Latent-Factorization-of-Tensors-Incorporated Battery Cycle Life Prediction. - Minzhi Chen; Li Tao; Jungang Lou; Xin Luo 001 (IEEE CAA J. Autom. Sinica, 2025)