Ground Target Classification in Noisy SAR Images Using Convolutional Neural Networks. - Jun Wang 041; Tong Zheng 004; Peng Lei; Xiao Bai 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Acceleration of FPGA Based Convolutional Neural Network for Human Activity Classification Using Millimeter-Wave Radar. - Peng Lei; Jiawei Liang; Zhenyu Guan; Jun Wang 041; Tong Zheng 004 (IEEE Access, 2019)

A Hierarchical Convolution Neural Network (CNN)-Based Ship Target Detection Method in Spaceborne SAR Imagery. - Jun Wang 041; Tong Zheng 004; Peng Lei; Xiao Bai 001 (Remote. Sens., 2019)

A Joint Convolutional Neural Network for Simultaneous Despeckling and Classification of SAR Targets. - Peng Lei; Tong Zheng 004; Jun Wang 041; Xiao Bai 001 (IEEE Geosci. Remote. Sens. Lett., 2021)

A Novel Portable Soil Water Sensor Based on Temperature Compensation. - Hao Tian 007; Chongchong Yu; Tao Xie; Tong Zheng 004; Mei Sun (J. Sensors, 2022)

A Semi-Supervised Learning and Knowledge Distillation Based Method for Annotation of LIDAR Point Cloud Data. - Chongchong Yu; Fan Liu; Jialun Chen; Tong Zheng 004; Wenbin Feng (ICBASE, 2023)

The Process Analysis Method of SAR Target Recognition in Pre-Trained CNN Models. - Tong Zheng 004; Jin Li; Hao Tian; Qing Wu (Sensors, 2023)

Wearable Optical Fiber Sensors in Medical Monitoring Applications: A Review. - Xuhui Zhang; Chunyang Wang; Tong Zheng 004; Haibin Wu; Qing Wu; Yunzheng Wang (Sensors, 2023)

A broader study of cross-domain few-shot object detection. - Liangbing Sa; Chongchong Yu; Zhaorui Hong; Tong Zheng 004; Sihan Liu (Appl. Intell., 2023)

A Graph Aggregation Convolution and Attention Mechanism Based Semantic Segmentation Method for Sparse Lidar Point Cloud Data. - Tong Zheng 004; Jialun Chen; Wenbin Feng; Chongchong Yu (IEEE Access, 2024)

Compression of Convolutional Neural Networks With Divergent Representation of Filters. - Peng Lei; Jiawei Liang; Tong Zheng 004; Jun Wang 041 (IEEE Trans. Neural Networks Learn. Syst., 2024)

SACA-fusion: a low-light fusion architecture of infrared and visible images based on self- and cross-attention. - Chongchong Yu; Shunan Li; Wenbin Feng; Tong Zheng 004; Shu Liu (Vis. Comput., 2024)

DeFRCN-MAM: DeFRCN and multi-scale attention mechanism-based industrial defect detection method. - Tong Zheng 004; Liangbing Sa; Chongchong Yu; Ai-Bin Song (Appl. Artif. Intell., 2024)