Online Sorting of the Film on Cotton Based on Deep Learning and Hyperspectral Imaging. - Chao Ni 002; Zhenye Li 001; Xiong Zhang; Xinyan Sun; Yuping Huang; Ling Zhao; Tingting Zhu 002; Dongyi Wang (IEEE Access, 2020)

Defect Detection of Industry Wood Veneer Based on NAS and Multi-Channel Mask R-CNN. - Jiahao Shi; Zhenye Li 001; Tingting Zhu 002; Dongyi Wang; Chao Ni 002 (Sensors, 2020)

Auto-Modal: Air-Quality Index Forecasting with Modal Decomposition Attention. - Yiren Guo; Tingting Zhu 002; Zhenye Li 001; Chao Ni 002 (Sensors, 2022)

A Lightweight Attention-Based Convolutional Neural Networks for Fresh-Cut Flower Classification. - Yeqi Fei; Zhenye Li 001; Tingting Zhu 002; Chao Ni 002 (IEEE Access, 2023)

CloudpredNet: An Ultra-Short-Term Movement Prediction Model for Ground-Based Cloud Image. - Liang Wei; Tingting Zhu 002; Yiren Guo; Chao Ni 002; Qingyuan Zheng (IEEE Access, 2023)

Few-Shot Learning for Small Impurities in Tobacco Stems With Improved YOLOv7. - Sheng Xue; Zhenye Li 001; Rui Wu; Tingting Zhu 002; Yangchun Yuan; Chao Ni 002 (IEEE Access, 2023)

MMST: A Multi-Modal Ground-Based Cloud Image Classification Method. - Liang Wei; Tingting Zhu 002; Yiren Guo; Chao Ni 002 (Sensors, 2023)

CCG-YOLOv7: A Wood Defect Detection Model for Small Targets Using Improved YOLOv7. - Wenqi Cui; Zhenye Li 001; Anning Duanmu; Sheng Xue; Yiren Guo; Chao Ni 002; Tingting Zhu 002; Yajun Zhang (IEEE Access, 2024)

SSNet: Exploiting Spatial Information for Tobacco Stem Impurity Detection With Hyperspectral Imaging. - Chao Zhou; Zhenye Li 001; Dongyi Wang; Sheng Xue; Tingting Zhu 002; Chao Ni 002 (IEEE Access, 2024)

YOLO-ALDS: an instance segmentation framework for tomato defect segmentation and grading based on active learning and improved YOLO11. - Sheng Xue; Zhenye Li 001; Dongyi Wang; Tingting Zhu 002; Baohua Zhang; Chao Ni 002 (Comput. Electron. Agric., 2025)

Nondestructive detection and classification of impurities-containing seed cotton based on hyperspectral imaging and one-dimensional convolutional neural network. - Yeqi Fei; Zhenye Li 001; Tingting Zhu 002; Zengtao Chen; Chao Ni 002 (Digit. Commun. Networks, 2025)