A spatial-frequency-temporal optimized feature sparse representation-based classification method for motor imagery EEG pattern recognition. - Minmin Miao; Aimin Wang; Feixiang Liu (Medical Biol. Eng. Comput., 2017)

Application of artificial bee colony algorithm in feature optimization for motor imagery EEG classification. - Minmin Miao; Aimin Wang; Feixiang Liu (Neural Comput. Appl., 2018)

Top-Down Human-Cyber-Physical Data Fusion Based on Reinforcement Learning. - Sen Chen 002; Jian Wang 102; Hongze Li; Zhaoping Wang; Feixiang Liu; Shuang Li (IEEE Access, 2020)

A grasps-generation-and-selection convolutional neural network for a digital twin of intelligent robotic grasping. - Weifei Hu; Chuxuan Wang; Feixiang Liu; Xiang Peng; Pengwen Sun; Jianrong Tan (Robotics Comput. Integr. Manuf., 2022)

ELM-Based Discriminant Auto-Encoder and Multi-Kernel Fusion for Radar Specific Emitter Identification. - Ya Shi; Chenyi Wang; Guangfu Ge; Feixiang Liu; Lele Zhang (IEEE Access, 2023)

Multi-Source Interactive Stair Attention for Remote Sensing Image Captioning. - Xiangrong Zhang; Yunpeng Li 010; Xin Wang 068; Feixiang Liu; Zhaoji Wu; Xina Cheng; Licheng Jiao (Remote. Sens., 2023)

Product quality prediction method in small sample data environment. - Feixiang Liu; Yiru Dai (Adv. Eng. Informatics, 2023)

Semantic-Based Motion Detection Method for Unmanned Aerial Vehicle Data Transmission. - Yihan Wen; Feixiang Liu; Qi Cao 001; Guanchong Niu (ICC, 2024)

Deformable Convolution-Guided Multiscale Feature Learning and Fusion for UAV Object Detection. - Ya Shi; Chenyi Wang; Shengjun Xu; Ming-Dong Yuan; Feixiang Liu; Lele Zhang (IEEE Geosci. Remote. Sens. Lett., 2024)

Comprehensive performance evaluation and sensitivity analysis method of a cutter-changing robot for a large-diameter shield machine. - Mei Yang; Feixiang Liu; Laikuang Lin; Guiying Zeng; Yuhang Lang (Expert Syst. Appl., 2024)

Iterative Mamba Diffusion Change-Detection Model for Remote Sensing. - Feixiang Liu; Yihan Wen; Jiayi Sun; Peipei Zhu; Liang Mao; Guanchong Niu; Jie Li (Remote. Sens., 2024)

Entity Recognition for Power Equipment Data Based on Optional Word Vectors and Feature Fusion. - Min Chen; Feixiang Liu; Donggui Liang; Shuying Zhong; Yunting Li (IEEE Access, 2025)

Unbiased Max-Min Embedding Classification for Transductive Few-Shot Learning: Clustering and Classification Are All You Need. - Yang Liu 069; Feixiang Liu; Jiale Du; Xinbo Gao 001; Jungong Han (CoRR, 2025)