Heavy DC Current Calibration Method Based on High-Precision Current Adder. - Shiyan Ren; Qingxin Liu; Xiaojun Liu (IEEE Trans. Instrum. Meas., 2014)

An Improved Slime Mould Algorithm with Quasi Reflection-based Learning for Global Optimization Problems. - Qingxin Liu; Qi Qi 004; Heming Jia; Ni Li (HPCC/DSS/SmartCity/DependSys, 2021)

A Lightweight and Fine-Grained Feature Fusion Network for Remote Sensing Scene Classification. - Lin Bai; Qingxin Liu; Cuiling Li; Zhen Ye; Meng Hui (ICSPCC, 2021)

An Online Noninvasive Estimation Method of Electrolytic Capacitor for Boost Converters. - Chuanfeng Li; Yang Yu 015; Qingxin Liu; Xiyuan Peng (IECON, 2021)

A Hybrid SSA and SMA with Mutation Opposition-Based Learning for Constrained Engineering Problems. - Shuang Wang 013; Qingxin Liu; Yuxiang Liu; Heming Jia; Laith Mohammad Abualigah; Rong Zheng; Di Wu (Comput. Intell. Neurosci., 2021)

SLEO: An efficient Equilibrium Optimizer for numerical optimization. - Qingxin Liu; Qi Qi 004; Ni Li (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Enhanced slime mould algorithm with multiple mutation strategy and restart mechanism for global optimization. - Rong Zheng; Heming Jia; Shuang Wang 013; Qingxin Liu (J. Intell. Fuzzy Syst., 2022)

A Lightweight and Multiscale Network for Remote Sensing Image Scene Classification. - Lin Bai; Qingxin Liu; Cuiling Li; Chunlin Zhu; Zhen Ye; Meng Xi (IEEE Geosci. Remote. Sens. Lett., 2022)

Multiscale Spatial-Spectral Feature Extraction Network for Hyperspectral Image Classification. - Zhen Ye; Cuiling Li; Qingxin Liu; Lin Bai; James E. Fowler (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Remote Sensing Image Scene Classification Using Multiscale Feature Fusion Covariance Network With Octave Convolution. - Lin Bai; Qingxin Liu; Cuiling Li; Zhen Ye; Meng Hui; Xiuping Jia (IEEE Trans. Geosci. Remote. Sens., 2022)

ESR Estimation for Aluminum Electrolytic Capacitor of Power Electronic Converter Based on Compressed Sensing and Wavelet Transform. - Chuanfeng Li; Yang Yu 015; Zhiming Yang 001; Qingxin Liu; Xiyuan Peng (IEEE Trans. Ind. Electron., 2022)

Advanced Fast Recovery OLSR Protocol for UAV Swarms in the Presence of Topological Change. - Qingxin Liu; Xiaojun Zhu 001; Chuanxin Zhou; Chao Dong 001 (CSCWD, 2023)

Federated Opposite Learning Based Arithmetic Optimization Algorithm for Image Segmentation Using Multilevel Thresholding. - Qingxin Liu; Qi Qi 004; Ni Li (CSCWD, 2023)

Distance-weighted K-means Clustering Algorithm Based on Local Density. - Zhuoheng Lv; Qingxin Liu (ICAICE, 2023)

Computationally Lightweight Hyperspectral Image Classification Using a Multiscale Depthwise Convolutional Network With Channel Attention. - Zhen Ye; Cuiling Li; Qingxin Liu; Lin Bai; James E. Fowler (IEEE Geosci. Remote. Sens. Lett., 2023)

A chimp-inspired remora optimization algorithm for multilevel thresholding image segmentation using cross entropy. - Qingxin Liu; Ni Li; Heming Jia; Qi Qi 004; Laith Abualigah (Artif. Intell. Rev., 2023)

AutoMolDesigner for Antibiotic Discovery: An AI-Based Open-Source Software for Automated Design of Small-Molecule Antibiotics. - Tao Shen; Jiale Guo; Zunsheng Han; Gao Zhang; Qingxin Liu; Xinxin Si; Dongmei Wang; Song Wu; Jie Xia (J. Chem. Inf. Model., 2024)

DCWPSO: particle swarm optimization with dynamic inertia weight updating and enhanced learning strategies. - Yibo Han; Meiting Lin; Ni Li; Qi Qi 004; Jinqing Li; Qingxin Liu (PeerJ Comput. Sci., 2024)

Intrusion detection system for autonomous vehicles using sensor spatio-temporal information. - Qingxin Liu; Guihe Qin; Yanhua Liang; Jiaru Song; Wanning Liu; Xue Zhou (Comput. Secur., 2025)

Enhanced performance of p-GaN HEMT via partial etched AlGaN. - Qingxin Liu; Shuang Wu; Kailin Ren; Luqiao Yin; Jianhua Zhang (Microelectron. J., 2025)

ETFIDS: An Entropy-Driven, Time-Frequency Analysis Framework for In-Vehicle CAN Signal Intrusion Detection. - Wanning Liu; Guihe Qin; Yanhua Liang; Jiaru Song; Qingxin Liu; Xue Zhou (IEEE Internet Things J., 2025)