Multilevel Segmentation Optimized by Physical Information for Gridding of Microarray Images. - Zhenhua Gan; Nianyin Zeng; Fumin Zou; Jianguo Chen; Min Du 001; Lyu-Chao Liao; Han Li 004; Yudong Zhang 001 (IEEE Access, 2019)

Wavelet Denoising Algorithm Based on NDOA Compressed Sensing for Fluorescence Image of Microarray. - Zhenhua Gan; Fumin Zou; Nianyin Zeng; Baoping Xiong; Lyu-Chao Liao; Han Li 004; Xin Luo 001; Min Du 001 (IEEE Access, 2019)

Intelligent Prediction of Human Lower Extremity Joint Moment: An Artificial Neural Network Approach. - Baoping Xiong; Nianyin Zeng; Han Li 004; Yuan Yang 002; Yurong Li; Meilan Huang; Wuxiang Shi; Min Du 001; Yudong Zhang 001 (IEEE Access, 2019)

Quantitative Analysis of Immunochromatographic Strip Based on Convolutional Neural Network. - Nianyin Zeng; Han Li 004; Yurong Li; Xin Luo 001 (IEEE Access, 2019)

Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip. - Nianyin Zeng; Han Li 004; Zidong Wang 001; Weibo Liu 001; Songming Liu; Fuad E. Alsaadi; Xiaohui Liu 001 (Neurocomputing, 2021)

A competitive mechanism integrated multi-objective whale optimization algorithm with differential evolution. - Nianyin Zeng; Dandan Song; Han Li 004; Yancheng You; Yurong Liu; Fuad E. Alsaadi (Neurocomputing, 2021)

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)

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 new deep belief network-based multi-task learning for diagnosis of Alzheimer's disease. - Nianyin Zeng; Han Li 004; Yonghong Peng (Neural Comput. Appl., 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)

Intelligent detection and behavior tracking under ammonia nitrogen stress. - Juan Li; Weimei Chen; Yihao Zhu; Kui Xuan; Han Li 004; Nianyin Zeng (Neurocomputing, 2023)

S3T-Net: A novel electroencephalogram signals-oriented emotion recognition model. - Weilong Tan; Hongyi Zhang; Zidong Wang 001; Han Li 004; Xingen Gao; 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)

PatchEMG: Few-Shot EMG Signal Generation With Diffusion Models for Data Augmentation to Improve Classification Performance. - Baoping Xiong; Wensheng Chen; Han Li 004; Yinxi Niu; Nianyin Zeng; Zhenhua Gan; Yong Xu 009 (IEEE Trans. Instrum. Meas., 2024)

TranSEMG: A Trans-Scale Hybrid Model for High-Accurate Hip Joint Moment Prediction. - Baoping Xiong; Yiran Chang; Nianyin Zeng; Yinxi Niu; Hui Zeng; Han Li 004; Guojun Mao; Yong Xu 009 (IEEE Trans. Instrum. Meas., 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 learnable population filter for dynamic multi-objective optimization. - Zheng Fang; Han Li 004; Liwei Hu; Nianyin Zeng (Neurocomputing, 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)

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)

SEDA-EEG: A semi-supervised emotion recognition network with domain adaptation for cross-subject EEG analysis. - Weilong Tan; Hongyi Zhang; Yingbei Wang; Weimin Wen; Liang Chen; Han Li 004; Xingen Gao; Nianyin Zeng (Neurocomputing, 2025)