A Real-World-Oriented Multi-Task Allocation Approach Based on Multi-Agent Reinforcement Learning in Mobile Crowd Sensing. - Junying Han; Zhenyu Zhang 011; Xiaohong Wu (Inf., 2020)

A Novel Identification Method for Apple (Malus domestica Borkh.) Cultivars Based on a Deep Convolutional Neural Network with Leaf Image Input. - Chengzhong Liu; Junying Han; Baihong Chen; Juan Mao; Zhengxu Xue; Shunqiang Li (Symmetry, 2020)

Identification Method of Wheat Cultivars by Using a Convolutional Neural Network Combined with Images of Multiple Growth Periods of Wheat. - Jiameng Gao; Chengzhong Liu; Junying Han; Qinglin Lu; Hengxing Wang; Jianhua Zhang; Xuguang Bai; Jiake Luo (Symmetry, 2021)

A Deep-Learning Method for the Classification of Apple Varieties via Leaf Images from Different Growth Periods in Natural Environment. - Junkang Chen; Junying Han; Chengzhong Liu; Yefeng Wang; Hangchi Shen; Long Li (Symmetry, 2022)

IRB-5-CA Net: A Lightweight, Deep Learning-Based Approach to Wheat Seed Identification. - Yongqiang Feng; Chengzhong Liu; Junying Han; Qinglin Lu; Xue Xing (IEEE Access, 2023)