Parallel Implementation and Optimization of a Hybrid Data Assimilation Algorithm. - Jingmei Li; Weifei Wu (ADHIP, 2018)

An Instruction Blocking Methods for Disk Data Protection. - Di Xue; Jingmei Li; Weifei Wu; Jiaxiang Wang 003; Xiaoyun Wang (ICNCC, 2018)

Task scheduling algorithm based on fireworks algorithm. - Jingmei Li; Qiao Tian 002; Guoyin Zhang; Weifei Wu; Di Xue; Lanting Li; Jiaxiang Wang 003; Lei Chen 029 (EURASIP J. Wirel. Commun. Netw., 2018)

Improved Material Decomposition With a Two-Step Regularization for Spectral CT. - Weiwen Wu; Peijun Chen; Vince Vardhanabhuti; Weifei Wu; Hengyong Yu (IEEE Access, 2019)

Malware Classification Using Probability Scoring and Machine Learning. - Di Xue; Jingmei Li; Tu Lv; Weifei Wu; Jiaxiang Wang 003 (IEEE Access, 2019)

Research on parallel solution of GRAPES Helmholtz equation. - Jingmei Li; Qiao Tian 002; Fangyuan Zheng; Weifei Wu; Jiaxiang Wang 003 (Concurr. Comput. Pract. Exp., 2019)

Multi-Source Deep Transfer Neural Network Algorithm. - Jingmei Li; Weifei Wu; Di Xue; Peng Gao (Sensors, 2019)

An Intrusion Detection Feature Selection Method Based on Improved Fireworks Algorithm. - Shuangyue Niu; Xiang Ji; Jingmei Li; Di Xue; Weifei Wu (ICCAI, 2020)

Transfer Naive Bayes algorithm with group probabilities. - Jingmei Li; Weifei Wu; Di Xue (Appl. Intell., 2020)

An intrusion detection method based on active transfer learning. - Jingmei Li; Weifei Wu; Di Xue (Intell. Data Anal., 2020)

Research on transfer learning algorithm based on support vector machine. - Jingmei Li; Weifei Wu; Di Xue (J. Intell. Fuzzy Syst., 2020)

A Hybrid Task Scheduling Algorithm Based on Task Clustering. - Qiao Tian 002; Jingmei Li; Di Xue; Weifei Wu; Jiaxiang Wang 003; Lei Chen 029; Juzhen Wang (Mob. Networks Appl., 2020)

Incremental Learning for Malware Classification in Small Datasets. - Jingmei Li; Di Xue; Weifei Wu; Jiaxiang Wang 003 (Secur. Commun. Networks, 2020)

Erratum to "Incremental Learning for Malware Classification in Small Datasets". - Di Xue; Jingmei Li; Weifei Wu; Jiaxiang Wang 003 (Secur. Commun. Networks, 2020)

Multi-source fast transfer learning algorithm based on support vector machine. - Peng Gao; Weifei Wu; Jingmei Li (Appl. Intell., 2021)

Deep Iteration Assisted by Multi-level Obey-pixel Network Discriminator (DIAMOND) for Medical Image Recovery. - Moran Xu; Dianlin Hu; Weifei Wu; Weiwen Wu (CoRR, 2021)

Tensor Gradient L₀-Norm Minimization-Based Low-Dose CT and Its Application to COVID-19. - Weiwen Wu; Jun Shi 004; Hengyong Yu; Weifei Wu; Vince Vardhanabhuti (IEEE Trans. Instrum. Meas., 2021)

Multi-Source Selection Transfer Learning with Privacy-Preserving. - Weifei Wu (Neural Process. Lett., 2022)

Multi-domain integrative Swin transformer network for sparse-view tomographic reconstruction. - Jiayi Pan 003; Heye Zhang; Weifei Wu; Zhifan Gao; Weiwen Wu (Patterns, 2022)

Intrusion detection algorithom based on transfer extreme learning machine. - Kunpeng Wang; Jingmei Li; Weifei Wu (Intell. Data Anal., 2023)

An efficient intrusion detection method using federated transfer learning and support vector machine with privacy-preserving. - Weifei Wu; Yanhui Zhang (Intell. Data Anal., 2023)

Multi-source deep transfer learning algorithm based on feature alignment. - Changhong Ding; Peng Gao; Jingmei Li; Weifei Wu (Artif. Intell. Rev., 2023)

A Transfer Learning Algorithm Based on Support Vector Machine. - Weifei Wu; Shidian Chen; LiYing Bao (Neural Process. Lett., 2023)

Active Selection Transfer Learning Algorithm. - Weifei Wu; Yanhui Zhang; Fuyijin Xing (Neural Process. Lett., 2023)

Self-Fusion Simplex Noise-Based Diffusion Model for Self-Supervised Low-Dose Digital Radiography Denoising. - Yanyang Wang; Zirong Li; Weifei Wu; Jianjia Zhang; Weiwen Wu (IEEE Trans. Instrum. Meas., 2024)

A novel transfer extreme learning machine from multiple sources for intrusion detection. - Kunpeng Wang; Jingmei Li; Weifei Wu (Peer Peer Netw. Appl., 2024)