Modeling object recognition in visual cortex using multiple firing k-means and non-negative sparse coding. - Yanjiang Wang 001; Limiao Deng (Signal Process., 2016)

Biological modeling of human visual system for object recognition using GLoP filters and sparse coding on multi-manifolds. - Limiao Deng; Yanjiang Wang 001; Bao-Di Liu; Weifeng Liu 001; Yujuan Qi (Mach. Vis. Appl., 2018)

Increment Learning and Rapid Retrieval of Visual Information Based on Pattern Association Memory. - Limiao Deng; Mingyue Gao; Yanjiang Wang 001 (Neural Process. Lett., 2018)

Detection and Analysis of Behavior Trajectory for Sea Cucumbers Based on Deep Learning. - Juan Li; Chen Xu; Lingxu Jiang; Ying Xiao; Limiao Deng; Zhongzhi Han (IEEE Access, 2020)

Monitoring the Change Process of Banana Freshness by GoogLeNet. - Jiangong Ni; Jiyue Gao; Limiao Deng; Zhongzhi Han (IEEE Access, 2020)

Strawberry R-CNN: Recognition and counting model of strawberry based on improved faster R-CNN. - Jiajun Li; Zifeng Zhu; Hongxin Liu; Yurong Su; Limiao Deng (Ecol. Informatics, 2023)

Efficient intelligent quality detection of pistachios using multi-view deep learning. - Hongfei Zhu; Huayu Fu; Cong Wang; Zhenlu Hua; Xingyu Liu; Weiming Shi; Ziyan Zong; Yanshen Zhao; Fei Liu; Limiao Deng; Ranbing Yang; Zhongzhi Han (Eng. Appl. Artif. Intell., 2025)

Explainable models for predicting crab weight based on genetic programming. - Tao Shi; Lingcheng Meng; Limiao Deng; Juan Li (Ecol. Informatics, 2025)