Deep Learning based Automatic Approach using Hybrid Global and Local Activated Features towards Large-scale Multi-class Pest Monitoring. - Liu Liu 012; Rujing Wang; Chengjun Xie; Po Yang 001; Sud Sudirman; Fangyuan Wang 001; Rui Li 027 (INDIN, 2019)

An Effective Data Augmentation Strategy for CNN-Based Pest Localization and Recognition in the Field. - Rui Li 027; Xiufang Jia; Min Hu; Man Zhou; Dengshan Li; Wancai Liu; Rujing Wang; Jie Zhang 033; Chengjun Xie; Liu Liu 012; Fangyuan Wang 001; Hongbo Chen; et al. (IEEE Access, 2019)

PestNet: An End-to-End Deep Learning Approach for Large-Scale Multi-Class Pest Detection and Classification. - Liu Liu 012; Rujing Wang; Chengjun Xie; Po Yang 001; Fangyuan Wang 001; Sud Sudirman; Wancai Liu (IEEE Access, 2019)

An effective automatic system deployed in agricultural Internet of Things using Multi-Context Fusion Network towards crop disease recognition in the wild. - Yushan Zhao; Liu Liu 012; Chengjun Xie; Rujing Wang; Fangyuan Wang 001; Yingqiao Bu; Shunxiang Zhang (Appl. Soft Comput., 2020)

Fusing multi-scale context-aware information representation for automatic in-field pest detection and recognition. - Fangyuan Wang 001; Rujing Wang; Chengjun Xie; Po Yang 001; Liu Liu 012 (Comput. Electron. Agric., 2020)

A Recognition Method for Rice Plant Diseases and Pests Video Detection Based on Deep Convolutional Neural Network. - Dengshan Li; Rujing Wang; Chengjun Xie; Liu Liu 012; Jie Zhang 033; Rui Li 027; Fangyuan Wang 001; Man Zhou; Wancai Liu (Sensors, 2020)

Convolutional neural network based automatic pest monitoring system using hand-held mobile image analysis towards non-site-specific wild environment. - Fangyuan Wang 001; Rujing Wang; Chengjun Xie; Jie Zhang 033; Rui Li 027; Liu Liu 012 (Comput. Electron. Agric., 2021)

ReinforceNet: A reinforcement learning embedded object detection framework with region selection network. - Man Zhou; Rujing Wang; Chengjun Xie; Liu Liu 012; Rui Li 027; Fangyuan Wang 001; Dengshan Li (Neurocomputing, 2021)

Learning region-guided scale-aware feature selection for object detection. - Liu Liu 012; Rujing Wang; Chengjun Xie; Rui Li 027; Fangyuan Wang 001; Man Zhou; Yue Teng (Neural Comput. Appl., 2021)

Deep Learning Based Automatic Multiclass Wild Pest Monitoring Approach Using Hybrid Global and Local Activated Features. - Liu Liu 012; Chengjun Xie; Rujing Wang; Po Yang 001; Sud Sudirman; Jie Zhang 033; Rui Li 027; Fangyuan Wang 001 (IEEE Trans. Ind. Informatics, 2021)

A global activated feature pyramid network for tiny pest detection in the wild. - Liu Liu 012; Rujing Wang; Chengjun Xie; Rui Li 027; Fangyuan Wang 001; Long Qi (Mach. Vis. Appl., 2022)