Accelerated Latent Factor Analysis for Recommender Systems via PID Controller. - Jinli Li; Xuke Wu; Ye Yuan 014; Yajuan Wu; Kangkang Ma; Yue Zhou (ICNSC, 2020)

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)

Multiple Biases-incorporated Latent Factorization of Tensors for Dynamic Network Link Prediction. - Xuke Wu; Juan Wang; Hao Wu (ICIAI, 2021)

Empirical Learning of Decision Parameters for Agent-Based Model. - Bing Song; Gang Xiong 001; Fenghua Zhu; Xuke Wu; Yisheng Lv; Peijun Ye 001 (ITSC, 2022)

Small Object Detector Using Contextual Local Features and Global Representations for Autonomous Driving. - Xuke Wu; Bin Tian 003; Gang Xiong 001; Bing Song; Peijun Ye 001; Fenghua Zhu (ITSC, 2023)

A Well-Designed Regularization Scheme for Latent Factorization of High-Dimensional and Incomplete Water-Quality Tensors from Sensor Networks. - Xuke Wu; Lan Wang; Mingjiang Xie; Kun Shan (MSN, 2023)

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

Nonnegative Latent Factorization of Tensors with Swish Regularization for Water Quality Data Imputation. - Lan Wang; Xuke Wu; Yisong Yu; Hao Liu; Kun Shan; Bing Yang (ICCBN, 2024)

Spatiotemporal water quality data reconstruction: A tensor factorization framework. - Xuke Wu; Kun Shan; Lan Wang; Jingkai Wang; Mingsheng Shang 001 (Ecol. Informatics, 2025)