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Minzhi Chen
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2020 – today
- 2024
- [j5]Minzhi Chen, Renfang Wang, Yan Qiao, Xin Luo:
A Generalized Nesterov's Accelerated Gradient-Incorporated Non-Negative Latent-Factorization-of-Tensors Model for Efficient Representation to Dynamic QoS Data. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2386-2400 (2024) - 2023
- [j4]Minzhi Chen, Guijun Ma, Weibo Liu, Nianyin Zeng, Xin Luo:
An overview of data-driven battery health estimation technology for battery management system. Neurocomputing 532: 152-169 (2023) - [j3]Minzhi Chen, Chunlin He, Xin Luo:
MNL: A Highly-Efficient Model for Large-scale Dynamic Weighted Directed Network Representation. IEEE Trans. Big Data 9(3): 889-903 (2023) - 2022
- [c5]Minzhi Chen, Hao Wu:
A Breif Review on Data-driven Battery Health Estimation Methods for Energy Storage Systems. ICNSC 2022: 1-6 - 2021
- [j2]Xin Luo, Minzhi Chen, Hao Wu, Zhigang Liu, Huaqiang Yuan, MengChu Zhou:
Adjusting Learning Depth in Nonnegative Latent Factorization of Tensors for Accurately Modeling Temporal Patterns in Dynamic QoS Data. IEEE Trans Autom. Sci. Eng. 18(4): 2142-2155 (2021) - [c4]Minzhi Chen, Xin Luo:
Efficient Representation to Dynamic QoS Data via Generalized Nesterov's Accelerated Gradient-incorporated Biased Non-negative Latent Factorization of Tensors. SMC 2021: 576-581 - 2020
- [c3]Xuke Wu, Hang Gou, Hao Wu, Juan Wang, Minzhi Chen, Siyu Lai:
A Diverse Biases Non-negative Latent Factorization of Tensors Model for Dynamic Network Link Prediction. ICNSC 2020: 1-6
2010 – 2019
- 2019
- [j1]Qingxian Wang, Minzhi Chen, Mingsheng Shang, Xin Luo:
A momentum-incorporated latent factorization of tensors model for temporal-aware QoS missing data prediction. Neurocomputing 367: 299-307 (2019) - [c2]Minzhi Chen, Hao Wu, Chunlin He, Sili Chen:
Momentum-incorporated Latent Factorization of Tensors for Extracting Temporal Patterns from QoS Data. SMC 2019: 1757-1762
2000 – 2009
- 2009
- [c1]Zimin Jin, Xiaoju Luo, Jiajia Shen, Yuxiu Yan, Minzhi Chen:
Study on the Model of. JCAI 2009: 363-366
Coauthor Index
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