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)

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)

A stepped sampling method for video detection using LSTM. - Dengshan Li; Rujing Wang; Chengjun Xie (CoRR, 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)

Context-LSTM: a robust classifier for video detection on UCF101. - Dengshan Li; Rujing Wang (CoRR, 2022)

Detection of Water pH Using Visible Near-Infrared Spectroscopy and One-Dimensional Convolutional Neural Network. - Dengshan Li; Lina Li (Sensors, 2022)