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2020 – today
- 2024
[c7]Lan Wang
, Xuke Wu, Yisong Yu, Hao Liu, Kun Shan, Bing Yang:
Nonnegative Latent Factorization of Tensors with Swish Regularization for Water Quality Data Imputation. ICCBN 2024: 201-207- 2023
- [b1]Hao Wu, Xuke Wu, Xin Luo:
Dynamic Network Representation Based on Latent Factorization of Tensors. Springer Briefs in Computer Science, Springer 2023, ISBN 978-981-19-8933-9, pp. 1-80 - [c6]Xuke Wu, Bin Tian, Gang Xiong, Bing Song, Peijun Ye, Fenghua Zhu:
Small Object Detector Using Contextual Local Features and Global Representations for Autonomous Driving. ITSC 2023: 4396-4401 - [c5]Xuke Wu, Lan Wang, Mingjiang Xie, Kun Shan:
A Well-Designed Regularization Scheme for Latent Factorization of High-Dimensional and Incomplete Water-Quality Tensors from Sensor Networks. MSN 2023: 596-603 - 2022
- [c4]Bing Song, Gang Xiong, Fenghua Zhu, Xuke Wu, Yisheng Lv, Peijun Ye:
Empirical Learning of Decision Parameters for Agent-Based Model. ITSC 2022: 3194-3199 - 2021
- [c3]Xuke Wu, Juan Wang, Hao Wu:
Multiple Biases-incorporated Latent Factorization of Tensors for Dynamic Network Link Prediction. ICIAI 2021: 36-41 - 2020
- [c2]Jinli Li, Xuke Wu, Ye Yuan, Yajuan Wu, Kangkang Ma, Yue Zhou:
Accelerated Latent Factor Analysis for Recommender Systems via PID Controller. ICNSC 2020: 1-6 - [c1]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
Coauthor Index
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