PPIR-Net: An Underwater Image Restoration Framework Using Physical Priors. - Changhua Zhang; Xing Yang; Zhongshu Chen; Shimin Luo; Maolin Luo; Dapeng Yan; Hao Li; Bingyan Wang (ICONIP (6), 2022)

Mutual Attention Feature Alignment In Cross-domain Detection. - Jian Hu; Zhongshu Chen; Maolin Luo; Jiahang Li; Xianlong Tian; Lin Zuo (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

RUL Prediction of Wind Turbine Gearbox Bearings Based on Self-Calibration Temporal Convolutional Network. - Ke He; Zuqiang Su; Xiaoqing Tian; Hong Yu 007; Maolin Luo (IEEE Trans. Instrum. Meas., 2022)

Research on Load Distribution of Radially Loaded Deep Groove Ball Bearing. - Yong Long; Maolin Luo; Zuqiang Su; Chen Zhou; Xin Wang; Shuxian Wang; Kai Zheng; Qiang Fu (SAFEPROCESS, 2023)

Enhancing Clinical Evidence Recommendation with Multi-Channel Heterogeneous Learning on Evidence Graphs. - Maolin Luo; Xiang Zhang 026 (CoRR, 2023)

Cross-Domain Open-Set Fault Diagnosis Based on Target Domain Slanted Adversarial Network for Rotating Machinery. - Zuqiang Su; Weilong Jiang; Yang Zhao; Song Feng 001; Shuxian Wang; Maolin Luo (IEEE Trans. Instrum. Meas., 2023)

Adaptive Gated Attention Network With Weighted Metric Enhancement for Fault Diagnosis of Wind Turbine Gearbox. - Zuqiang Su; Xiaolong Zhang; Yan Han; Shuxian Wang; Maolin Luo (IEEE Trans. Instrum. Meas., 2023)

Multi-adversarial deep transfer network for multi-source open-set fault diagnosis of rotating machinery with category shift. - Zuqiang Su; Weilong Jiang; Kai Chen; Maolin Luo; Song Feng 001; Chen Zhou (Knowl. Based Syst., 2023)

Enhancing Clinical Evidence Recommendation with Multi-Channel Heterogeneous Learning on Evidence Graphs. - Maolin Luo; Sen Ai; Xiang Zhang 026 (BIBM, 2024)

Fault Diagnosis of Rotating Machinery Toward Unseen Working Condition: A Regularized Domain Adaptive Weight Optimization. - Zhi Tang 005; Zuqiang Su; Shuxian Wang; Maolin Luo; Honglin Luo; Lin Bo (IEEE Trans. Ind. Informatics, 2024)