Generating Personalized Answers by Constructing a Question Situation. - Yanwen Wu; Zhenghong Wu; Yan Li; Jinling Li (ICMLC, 2005)

A deep transfer maximum classifier discrepancy method for rolling bearing fault diagnosis under few labeled data. - Zhenghong Wu; Hongkai Jiang; Tengfei Lu; Ke Zhao (Knowl. Based Syst., 2020)

Promoting cooperation by reputation scoring mechanism based on historical donations in public goods game. - Le Wang; Tong Chen 003; Zhenghong Wu (Appl. Math. Comput., 2021)

Imbalanced fault diagnosis of rolling bearing using a deep gradient improved generative adversarial network. - Shaowei Liu; Hongkai Jiang; Zhenghong Wu; Ke Zhao; Xin Wang 129 (ICPHM, 2022)

A reinforcement ensemble deep transfer learning network for rolling bearing fault diagnosis with Multi-source domains. - Xingqiu Li; Hongkai Jiang; Min Xie; Tongqing Wang; Ruixin Wang; Zhenghong Wu (Adv. Eng. Informatics, 2022)

Machine fault diagnosis with small sample based on variational information constrained generative adversarial network. - Shaowei Liu; Hongkai Jiang; Zhenghong Wu; Yunpeng Liu; Ke Zhu (Adv. Eng. Informatics, 2022)

A Gaussian-guided adversarial adaptation transfer network for rolling bearing fault diagnosis. - Zhenghong Wu; Hongkai Jiang; Shaowei Liu; Chunxia Yang (Adv. Eng. Informatics, 2022)

A novel transfer learning fault diagnosis method based on Manifold Embedded Distribution Alignment with a little labeled data. - Ke Zhao; Hongkai Jiang; Zhenghong Wu; Tengfei Lu (J. Intell. Manuf., 2022)

Intelligent fault diagnosis of rolling bearing based on a deep transfer learning network. - Zhenghong Wu; Hongkai Jiang; Sicheng Zhang; Xin Wang 129; Haidong Shao; Haoxuan Dou (ICPHM, 2023)

Intelligent fault diagnosis of rotating machinery using a multi-source domain adaptation network with adversarial discrepancy matching. - Shaowei Liu; Hongkai Jiang; Zhenghong Wu; Zichun Yi; Ruixin Wang (Reliab. Eng. Syst. Saf., 2023)

Adaptive variational autoencoding generative adversarial networks for rolling bearing fault diagnosis. - Xin Wang 129; Hongkai Jiang; Zhenghong Wu; Qiao Yang (Adv. Eng. Informatics, 2023)

Conditional distribution-guided adversarial transfer learning network with multi-source domains for rolling bearing fault diagnosis. - Zhenghong Wu; Hongkai Jiang; Shaowei Liu; Yunpeng Liu; Wangfeng Yang (Adv. Eng. Informatics, 2023)

Digital twin-assisted multiscale residual-self-attention feature fusion network for hypersonic flight vehicle fault diagnosis. - Yutong Dong; Hongkai Jiang; Zhenghong Wu; Qiao Yang; Yunpeng Liu (Reliab. Eng. Syst. Saf., 2023)

Reinforcement Learning for Scientific Application: A Survey. - Zhikuang Xin; Zhenghong Wu; Dong Zhu; Xiaoguang Wang; Jue Wang 013; Yangang Wang (KSEM (5), 2024)

Disentangled Representation Learning for Geospatial-Temporal Data Modeling. - Siyuan Ren; Guannan Chang; Luqi Jing; Zhenghong Wu; Shuailin Chen; Qianru Wang (PAKDD (6), 2025)