Deep Learning Based Improved Classification System for Designing Tomato Harvesting Robot. - Li Zhang 044; Jingdun Jia; Guan Gui 001; Xia Hao; Wanlin Gao; Minjuan Wang (IEEE Access, 2018)

Selection of an index system for evaluating the application level of agricultural engineering technology. - Xue-rui Chen; Jing-dun Jia; Wanlin Gao; Yan-zhao Ren; Sha Tao (Pattern Recognit. Lett., 2018)

Soybean Seed Counting Based on Pod Image Using Two-Column Convolution Neural Network. - Yue Li; Jingdun Jia; Li Zhang 044; Abdul Mateen Khattak; Shi Sun; Wanlin Gao; Minjuan Wang (IEEE Access, 2019)

Increasingly Specialized Perception Network for Fine-Grained Visual Categorization of Butterfly Specimens. - Zhongqi Lin; Jingdun Jia; Wanlin Gao; Feng Huang 005 (IEEE Access, 2019)

A Unified Matrix-Based Convolutional Neural Network for Fine-Grained Image Classification of Wheat Leaf Diseases. - Zhongqi Lin; Shaomin Mu; Feng Huang 005; Khattak Abdul Mateen; Minjuan Wang; Wanlin Gao; Jingdun Jia (IEEE Access, 2019)

Multi-Task Cascaded Convolutional Networks Based Intelligent Fruit Detection for Designing Automated Robot. - Li Zhang 044; Guan Gui 001; Abdul Mateen Khattak; Minjuan Wang; Wanlin Gao; Jingdun Jia (IEEE Access, 2019)

A Fast and Universal RFID Tag Anti-Collision Algorithm for the Internet of Things. - Guofeng Zhang 015; Sha Tao; Wan'Ang Xiao; Qiang Cai; Wanlin Gao; Jingdun Jia; Juan Wen (IEEE Access, 2019)

Deep Learning based Rapid Diagnosis System for Identifying Tomato Nutrition Disorders. - Li Zhang 044; Jingdun Jia; Yue Li; Wanlin Gao; Minjuan Wang (KSII Trans. Internet Inf. Syst., 2019)

A Fast RFID Tag Anticollision Algorithm for Dynamic Arrival Scenarios Based on First-Come-First-Serve. - Guofeng Zhang 015; Sha Tao; Lina Yu; Wan'Ang Xiao; Qiang Cai; Wanlin Gao; Jingdun Jia; Juan Wen (Mob. Inf. Syst., 2019)

MFC-CNN: An automatic grading scheme for light stress levels of lettuce (Lactuca sativa L.) leaves. - Xia Hao; Jingdun Jia; Wanlin Gao; Xuchao Guo; Wenxin Zhang; Lihua Zheng; Minjuan Wang (Comput. Electron. Agric., 2020)

Growing period classification of Gynura bicolor DC using GL-CNN. - Xia Hao; Jingdun Jia; Abdul Mateen Khattak; Li Zhang 044; Xuchao Guo; Wanlin Gao; Minjuan Wang (Comput. Electron. Agric., 2020)

Fine-grained visual categorization of butterfly specimens at sub-species level via a convolutional neural network with skip-connections. - Zhongqi Lin; Jingdun Jia; Wanlin Gao; Feng Huang 005 (Neurocomputing, 2020)

A novel quadruple generative adversarial network for semi-supervised categorization of low-resolution images. - Zhongqi Lin; Jingdun Jia; Wanlin Gao; Feng Huang 005 (Neurocomputing, 2020)

A hierarchical coarse-to-fine perception for small-target categorization of butterflies under complex backgrounds. - Zhongqi Lin; Jingdun Jia; Wanlin Gao; Feng Huang 005 (J. Intell. Fuzzy Syst., 2020)

CapsNet meets SIFT: A robust framework for distorted target categorization. - Zhongqi Lin; Wanlin Gao; Jingdun Jia; Feng Huang 005 (Neurocomputing, 2021)

A coarse-to-fine capsule network for fine-grained image categorization. - Zhongqi Lin; Jingdun Jia; Feng Huang 005; Wanlin Gao (Neurocomputing, 2021)

High-Quality Coarse-to-Fine Fruit Detector for Harvesting Robot in Open Environment. - Li Zhang 044; Yan-zhao Ren; Sha Tao; Jingdun Jia; Wanlin Gao (KSII Trans. Internet Inf. Syst., 2021)

Increasingly Specialized Generative Adversarial Network for fine-grained visual categorization. - Zhongqi Lin; Wanlin Gao; Feng Huang 005; Jingdun Jia (Knowl. Based Syst., 2021)

Developing and evaluating the feasibility of a new spatiotemporal fusion framework to improve remote sensing reflectance and dynamic LAI monitoring. - Yan Li; Wanlin Gao; Jingdun Jia; Sha Tao; Yan-zhao Ren (Comput. Electron. Agric., 2022)

CapsNet meets ORB: A deformation-tolerant baseline for recognizing distorted targets. - Zhongqi Lin; Wanlin Gao; Jingdun Jia; Feng Huang 005 (Int. J. Intell. Syst., 2022)

Feature Correlation-Steered Capsule Network for object detection. - Zhongqi Lin; Jingdun Jia; Feng Huang 005; Wanlin Gao (Neural Networks, 2022)

DR-CapsNet with CAEMRA: Looking deep inside instance for boosting object detection effect. - Zhongqi Lin; Zengwei Zheng; Jingdun Jia; Wanlin Gao; Feng Huang 005 (Eng. Appl. Artif. Intell., 2023)

ML-CapsNet meets VB-DI-D: A novel distortion-tolerant baseline for perturbed object recognition. - Zhongqi Lin; Zengwei Zheng; Jingdun Jia; Wanlin Gao; Feng Huang 005 (Eng. Appl. Artif. Intell., 2023)

IOP-CapsNet with ISEMRA: Fetching part-to-whole topology for improving detection performance of articulated instances. - Zhongqi Lin; Yuan Wang; Zengwei Zheng; Jingdun Jia; Wanlin Gao (Expert Syst. Appl., 2023)

Reducing vulnerable internal feature correlations to enhance efficient topological structure parsing. - Zhongqi Lin; Zengwei Zheng; Jingdun Jia; Wanlin Gao (Expert Syst. Appl., 2024)

DMSPN: A distortion-mitigated network for part-level pattern parsing of underwater squids. - Zhongqi Lin; Wanlin Gao; Jingdun Jia; Shenfei Pei; Kui Su; Zengwei Zheng (Comput. Electron. Agric., 2025)