Microscopic Object Recognition and Localization Based on Multi-Feature Fusion for In-Situ Measurement In Vivo. - Shixian Yan; Peng-Fei Zhao 001; Xinyu Gao; Qiao Zhou; Jinhai Li; Jie-Peng Yao; Zhi-Qiang Chai; Yang Yue; Zhong-Yi Wang 001; Lan Huang 001 (Algorithms, 2019)

Electrical imaging of plant root zone: A review. - Peng-Fei Zhao 001; Yongqian Wang; Shixian Yan; Li-Feng Fan; Zi-Yang Wang; Qiao Zhou; Jie-Peng Yao; Qiang Cheng 003; Zhong-Yi Wang 001; Lan Huang 001 (Comput. Electron. Agric., 2019)

Using a one-dimensional convolutional neural network with a conditional generative adversarial network to classify plant electrical signals. - Xiao-Huang Qin; Zi-Yang Wang; Jie-Peng Yao; Qiao Zhou; Peng-Fei Zhao 001; Zhong-Yi Wang 001; Lan Huang 001 (Comput. Electron. Agric., 2020)

A Novel Handheld Device for Intact Corn Ear Moisture Content Measurement. - Li-Feng Fan; Zhi-Qiang Chai; Yongqian Wang; Zi-Yang Wang; Peng-Fei Zhao 001; Jinhai Li; Qiao Zhou; Xiaohuang Qin; Jie-Peng Yao; Shixian Yan; Zhong-Yi Wang 001; Lan Huang 001 (IEEE Trans. Instrum. Meas., 2020)

A deep learning method for the long-term prediction of plant electrical signals under salt stress to identify salt tolerance. - Jie-Peng Yao; Zi-Yang Wang; Ricardo Ferraz de Oliveira; Zhong-Yi Wang 001; Lan Huang 001 (Comput. Electron. Agric., 2021)

A smart universal single-channel blind source separation method and applications. - Qiao Zhou; Jie-Peng Yao; Jin-Hai Li; Zhong-Yi Wang 001; Lan Huang 001 (Multidimens. Syst. Signal Process., 2022)

A graph neural network model for deciphering the biological mechanisms of plant electrical signal classification. - Jie-Peng Yao; Yi Ling; Peichen Hou; Zhong-Yi Wang 001; Lan Huang 001 (Appl. Soft Comput., 2023)

LSTMAE-DWSSLM: A unified approach for imbalanced time series data classification. - Jingjing Liu; Jie-Peng Yao; Qiao Zhou; Zhongyi Wang 001; Lan Huang 001 (Appl. Intell., 2023)

Small Sample Time Series Classification Based on Data Augmentation and Semi-supervised Learning. - Jingjing Liu; Jie-Peng Yao; Zhuo Wang; Zhong-Yi Wang; Lan Huang 001 (Inf. Technol. Control., 2024)

Missing data imputation and classification of small sample missing time series data based on gradient penalized adversarial multi-task learning. - Jingjing Liu; Jie-Peng Yao; Jin-Hang Liu; Zhong-Yi Wang 001; Lan Huang 001 (Appl. Intell., 2024)