A generalized framework of feature learning enhanced convolutional neural network for pathology-image-oriented cancer diagnosis. - Han Li 004; Peishu Wu; Zidong Wang 001; Jingfeng Mao; Fuad E. Alsaadi; Nianyin Zeng (Comput. Biol. Medicine, 2022)

Cov-Net: A computer-aided diagnosis method for recognizing COVID-19 from chest X-ray images via machine vision. - Han Li 004; Nianyin Zeng; Peishu Wu; Kathy Clawson (Expert Syst. Appl., 2022)

A ranking-system-based switching particle swarm optimizer with dynamic learning strategies. - Han Li 004; Juan Li; Peishu Wu; Yancheng You; Nianyin Zeng (Neurocomputing, 2022)

A survey on parameter identification, state estimation and data analytics for lateral flow immunoassay: from systems science perspective. - Han Li 004; Peishu Wu; Nianyin Zeng; Yurong Liu; Fuad E. Alsaadi (Int. J. Syst. Sci., 2022)

FMD-Yolo: An efficient face mask detection method for COVID-19 prevention and control in public. - Peishu Wu; Han Li 004; Nianyin Zeng; Fengping Li (Image Vis. Comput., 2022)

A Small-Sized Object Detection Oriented Multi-Scale Feature Fusion Approach With Application to Defect Detection. - Nianyin Zeng; Peishu Wu; Zidong Wang 001; Han Li 004; Weibo Liu 001; Xiaohui Liu 001 (IEEE Trans. Instrum. Meas., 2022)

A3C: A novel attention-based 3D-CNN model for accurately identifying clinical lung lesions. - Peishu Wu; Haipeng Xu; Meilin Liu; Han Li 004; Hongfu Zeng; Huihua Hu; Nianyin Zeng (ICDM (Workshops), 2023)

AGGN: Attention-based glioma grading network with multi-scale feature extraction and multi-modal information fusion. - Peishu Wu; Zidong Wang 001; Baixun Zheng; Han Li 004; Fuad E. Alsaadi; Nianyin Zeng (Comput. Biol. Medicine, 2023)

DPF-S2S: A novel dual-pathway-fusion-based sequence-to-sequence text recognition model. - Yuqing Zhang; Peishu Wu; Han Li 004; Yurong Liu; Fuad E. Alsaadi; Nianyin Zeng (Neurocomputing, 2023)

Highly Sensitive Cy3 Fluorescence Detection Method for Microarray Based on CCD and LED. - Zhenhua Gan; Peishu Wu; Nianyin Zeng; Fumin Zou; Baoping Xiong; Min Du 001; Qin Bao; Jinyang Li; Yuankun Bai (IEEE Trans. Instrum. Meas., 2023)

AA-WGAN: Attention augmented Wasserstein generative adversarial network with application to fundus retinal vessel segmentation. - Meilin Liu; Zidong Wang 001; Han Li 004; Peishu Wu; Fuad E. Alsaadi; Nianyin Zeng (Comput. Biol. Medicine, 2023)

Progressive attention integration-based multi-scale efficient network for medical imaging analysis with application to COVID-19 diagnosis. - Tingyi Xie; Zidong Wang 001; Han Li 004; Peishu Wu; Huixiang Huang; Hongyi Zhang; Fuad E. Alsaadi; Nianyin Zeng (Comput. Biol. Medicine, 2023)

SMWO/D: a decomposition-based switching multi-objective whale optimiser for structural optimisation of Turbine disk in aero-engines. - Han Li 004; Haonan Liu; Chengbo Lan; Yiqi Yin; Peishu Wu; Cheng Yan; Nianyin Zeng (Int. J. Syst. Sci., 2023)

A novel attention-based enhancement framework for face mask detection in complicated scenarios. - Hongyi Zhang; Jun Tang; Peishu Wu; Han Li 004; Nianyin Zeng (Signal Process. Image Commun., 2023)

Enhanced multi-label cardiology diagnosis with channel-wise recurrent fusion. - Weimin Wen; Hongyi Zhang; Zidong Wang 001; Xingen Gao; Peishu Wu; Juqiang Lin; Nianyin Zeng (Comput. Biol. Medicine, 2024)

A novel population robustness-based switching response framework for solving dynamic multi-objective problems. - Han Li 004; Zheng Fang; Liwei Hu; Haonan Liu; Peishu Wu; Nianyin Zeng (Neurocomputing, 2024)

ℓ-DARTS: Light-weight differentiable architecture search with robustness enhancement strategy. - Liwei Hu; Zidong Wang 001; Han Li 004; Peishu Wu; Jingfeng Mao; Nianyin Zeng (Knowl. Based Syst., 2024)

ELTS-Net: An enhanced liver tumor segmentation network with augmented receptive field and global contextual information. - Xiaoyue Guo; Zidong Wang 001; Peishu Wu; Yurong Li; Fuad E. Alsaadi; Nianyin Zeng (Comput. Biol. Medicine, 2024)

A Novel Tensor Decomposition-Based Efficient Detector for Low-Altitude Aerial Objects With Knowledge Distillation Scheme. - Nianyin Zeng; Xinyu Li; Peishu Wu; Han Li 004; Xin Luo 001 (IEEE CAA J. Autom. Sinica, 2024)

A lightweight surface defect detection framework combined with dual-domain attention mechanism. - Jun Tang; Zidong Wang 001; Hongyi Zhang; Han Li 004; Peishu Wu; Nianyin Zeng (Expert Syst. Appl., 2024)

KD-PAR: A knowledge distillation-based pedestrian attribute recognition model with multi-label mixed feature learning network. - Peishu Wu; Zidong Wang 001; Han Li 004; Nianyin Zeng (Expert Syst. Appl., 2024)

A Novel Dynamic Multiobjective Optimization Algorithm With Hierarchical Response System. - Han Li 004; Zidong Wang 001; Chengbo Lan; Peishu Wu; Nianyin Zeng (IEEE Trans. Comput. Soc. Syst., 2024)

DPMSN: A Dual-Pathway Multiscale Network for Image Forgery Detection. - Nianyin Zeng; Peishu Wu; Yuqing Zhang; Han Li 004; Jingfeng Mao; Zidong Wang 001 (IEEE Trans. Ind. Informatics, 2024)

A Local-Global Attention Fusion Framework with Tensor Decomposition for Medical Diagnosis. - Peishu Wu; Han Li 004; Liwei Hu; Jirong Ge; Nianyin Zeng (IEEE CAA J. Autom. Sinica, 2024)

Promoting Objective Knowledge Transfer: A Cascaded Fuzzy System for Solving Dynamic Multiobjective Optimization Problems. - Han Li 004; Zidong Wang 001; Nianyin Zeng; Peishu Wu; Yurong Li (IEEE Trans. Fuzzy Syst., 2024)

A Novel Dynamic Multiobjective Optimization Algorithm With Non-Inductive Transfer Learning Based on Multi-Strategy Adaptive Selection. - Han Li 004; Zidong Wang 001; Chengbo Lan; Peishu Wu; Nianyin Zeng (IEEE Trans. Neural Networks Learn. Syst., 2024)

SGRN: SEMG-based gesture recognition network with multi-dimensional feature extraction and multi-branch information fusion. - Zhenhua Gan; Yuankun Bai; Peishu Wu; Baoping Xiong; Nianyin Zeng; Fumin Zou; Jinyang Li; Feng Guo; Dongyu He (Expert Syst. Appl., 2025)

MLF-DOU: A metric learning framework with dual one-class units for network intrusion detection. - Liang Chen; Han Li 004; Peishu Wu; Liwei Hu; Tengpeng Chen; Nianyin Zeng (Neurocomputing, 2025)

MSSFN: A multi-scale sequence fusion network for CT-based diagnosis of pulmonary complications. - Hongfu Zeng; Xinyu Li; Haipeng Xu; Keyi Yu; Huihua Hu; Peishu Wu; Nianyin Zeng (Neurocomputing, 2025)

DLA-Net: A Dynamically Learnable Attention Network for Intelligent Surface Visual Inspection of Aero-Engine Blades. - Haonan Chen; Peishu Wu; Weimin Wen; Nianyin Zeng (IEEE Trans. Instrum. Meas., 2025)

A Novel Equipment Based on Improved YOLOv5s for Automated Electrical Cover Handling. - Zhenhua Gan; Jinyang Li; Peishu Wu; Yuankun Bai; Baoping Xiong; Nianyin Zeng; Fumin Zou; Dongyu He; Wenshu Ni (IEEE Trans. Instrum. Meas., 2025)