Deep Learning based Framework for Underwater Acoustic Signal Recognition and Classification. - Hao Wu; Qingzeng Song; Guanghao Jin (CSAI/ICIMT, 2018)

De-speckling Convolutional Neural Network and Classification Method for SAR Images. - Yapei Zhao; Qingzeng Song; Xuechun Wang; Yijie Zhang; Guanghao Jin (ICACI, 2020)

The classification and denoising of image noise based on deep neural networks. - Fan Liu; Qingzeng Song; Guanghao Jin (Appl. Intell., 2020)

Deep learning-based framework for expansion, recognition and classification of underwater acoustic signal. - Guanghao Jin; Fan Liu; Hao Wu; Qingzeng Song (J. Exp. Theor. Artif. Intell., 2020)

Improving the Performance of Deep Learning Model-Based Classification by the Analysis of Local Probability. - Guanghao Jin; Yixin Hu; Yuming Jiao; Junfang Wen; Qingzeng Song (Complex., 2021)

Infrared Image Object Detection of Vehicle and Person Based on Improved YOLOv5. - Jintao Wang; Qingzeng Song; Maorui Hou; Guanghao Jin (APWeb/WAIM Workshops, 2022)

The Classification of Multiple-domain Samples based on Multiple Deep Learning Models. - Junting Xu; Ping Yang; Guanghao Jin; Qingzeng Song (ICCIR, 2022)

Design and Implementation of Convolutional Neural Networks Accelerator Based on Multidie. - Qingzeng Song; Jiabing Zhang; Liankun Sun; Guanghao Jin (IEEE Access, 2022)

The Classification of Multi-Domain Samples Based on the Cooperation of Multiple Models. - Qingzeng Song; Junting Xu; Lei Ma 011; Ping Yang; Guanghao Jin (Complex., 2022)

Flexible brain: a domain-model based bayesian network for classification. - Guanghao Jin; Qingzeng Song (J. Exp. Theor. Artif. Intell., 2022)

Research on Multi-Domain Sample Classification Method Based on Baidu API. - Yuwei Cui; Qingzeng Song; Yongjiang Xue; Jing Yu (CCRIS, 2023)

Multi-level Teaching Text Classification based on the Fusion of Deep Learning Models. - Guanghao Jin; Junhua Zhao; Yuqing Wang; Jieying Wang; Hui Du; Qingzeng Song (ICIEAI, 2023)

A Framework of Maximum Feature Exploration Oriented Remote Sensing Object Detection. - Yuelong Li; Yue Xing; Zhiwei Wang; Tengfei Xiao; Qingzeng Song; Weiwei Li; Jianming Wang (IEEE Geosci. Remote. Sens. Lett., 2023)

High-Speed Object Detection in Near Space Based on Improved YOLOv8s. - Ming Ma; Botao Hu; Qingzeng Song (ICCPR, 2024)

MA-YOLO: a multi-attention object detection network for remote sensing images. - Qingzeng Song; Maorui Hou; Yongjiang Xue; Jing Yu (J. Electronic Imaging, 2024)

High-throughput systolic array-based accelerator for hybrid transformer-CNN networks. - Qingzeng Song; Yao Dai; Hao Lu; Guanghao Jin (J. King Saud Univ. Comput. Inf. Sci., 2024)

Improving the performance of deep learning-based classification when a sample has various appearances. - Guanghao Jin; Yuming Jiao; Jianming Wang; Ming Ma; Qingzeng Song (J. Exp. Theor. Artif. Intell., 2024)

Design and Implementation of a Universal Shift Convolutional Neural Network Accelerator. - Qingzeng Song; Weizhi Cui; Liankun Sun; Guanghao Jin (IEEE Embed. Syst. Lett., 2024)

ELTC: An End-to-End Large Language Model-Based Tensor Compilation Optimization Framework. - WenBo Ma; Qingzeng Song; Fei Qiao; Yongjiang Xue; MingZe Sun (APLAS, 2025)

DB-MFNet: A Dual-Branch Cross-Modal Fusion Network for High-Resolution Remote Sensing Semantic Segmentation. - Huiren Hao; Yongjiang Xue; Fei Qiao; Qingzeng Song (ICIC (5), 2025)

RFW-YOLO: A Multi-scale Feature Fusion Method for Infrared Anti-UAV Detection Based on WTConv. - Zijuan Li; Yongjiang Xue; Qingzeng Song (ICIC (2), 2025)

EFF-ViT: A Vision Transformer with Feature Enhancement and Fusion for Fine-Grained Visual Classification. - Kaiyue Zhang; Yongjiang Xue; Ling Du; Qingzeng Song (ICIC (21), 2025)

RCMUNet: An End-to-End Hybrid U-Net Architecture of CNN-Mamba for Low-Light RAW Image Enhancement. - Wenchao Zhang; Yongjiang Xue; Fei Qiao; Qingzeng Song (ICIC (14), 2025)

FDSI-RTDETR : A Lightweight Unmanned Aerial Vehicle (UAV) Aerial Image Small Object Detection Network. - Tianyu Guo; Qingzeng Song; Yongjiang Xue; Fei Qiao (IJCNN, 2025)

Stochastic resonance of a fractional-order bistable system driven by corrected non-Gaussian noise and Gaussian noise. - Haoyu Chen; Yongfeng Guo; Qingzeng Song; Qin Yu (J. Frankl. Inst., 2025)

Dehazing with all we have. - Yuelong Li; Zhenwei Liu; Yue Xing; Kunliang Liu; Lei Geng; Qingzeng Song; Jianming Wang (Pattern Recognit. Lett., 2025)

A high throughput JPEG2000 lossless encoder architecture. - Xi Zhao; Yongjiang Xue; Qingzeng Song (J. Real Time Image Process., 2025)

FPGA-based real-time underwater object detection system for AUVs. - Zhenbo Qi; Qingzeng Song; Yongjiang Xue; Qiuyan Wang; Fei Qiao (J. Real Time Image Process., 2025)