Qingzeng Song

According to our database, Qingzeng Song authored at least 39 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Directional Information Flow and Chimera States in a Multi-layer FitzHugh-Nagumo Neuronal Network Excited by Local Lévy Noise.

Yanming Liang, Yongfeng Guo, Qingzeng Song

J. Frankl. Inst., 2026

FPGA-Based High-Parallelism ORB Feature Extraction Accelerator for Visual SLAM.

Yang Liu, Qingyu Chen, Yongjiang Xue, Fei Qiao, Qingzeng Song

Proceedings of the IEEE International Symposium on Circuits and Systems, 2026

FPGA-based Adaptive Texture-Aware Stereo Matching Accelerator for Co-axial RGB-NIR Sensors.

Chenghe Zhang, Qingzeng Song, Yongjiang Xue, Weigang Kong, Fei Qiao

Proceedings of the Great Lakes Symposium on VLSI 2026, 2026

An Agile Design Framework for Resource-Efficient and Parameterizable Edge ISPs.

Xitong Jiang, Qingzeng Song, Yongjiang Xue, Weigang Kong, Fei Qiao, Mingze Sun

Proceedings of the Great Lakes Symposium on VLSI 2026, 2026

A Unified Low-Latency ML-KEM Accelerator with Deterministic Packetization and Conflict-Free Memory Mapping.

Xiangrui Jia, Qingzeng Song, Yongjiang Xue, Weigang Kong, Fei Qiao

Proceedings of the Great Lakes Symposium on VLSI 2026, 2026

ReCoVLM: A Reconfigurable FPGA-GPU Co-Design for Edge Vision-Language Inference.

Jingyu Wang, Yongjiang Xue, Kailai Zhuang, Mingze Sun, Qingzeng Song

Proceedings of the 34th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2026

HESP-Stream: A Sensor-Direct, Instruction-Driven FPGA System for Real-Time Sparse Event Processing.

Jihui Qi, Yongjiang Xue, Qingzeng Song

Proceedings of the 34th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2026

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., December, 2025

A high throughput JPEG2000 lossless encoder architecture.

Xi Zhao, Yongjiang Xue, Qingzeng Song

J. Real Time Image Process., January, 2025

Dehazing with all we have.

Yuelong Li, Zhenwei Liu, Yue Xing, Kunliang Liu, Lei Geng, Qingzeng Song, Jianming Wang

Pattern Recognit. Lett., 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

High-Performance FPGA-Based System for Diabetic Retinopathy Classification.

Fengtao Shi, Yongjiang Xue, Jinzhu Zhang, Qingzeng Song

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

FPGA-Accelerated CNN-Transformer Hybrid Model for Real-Time Semantic Segmentation in Autonomous Driving.

Ao Zhang, Yongjiang Xue, Fei Qiao, Qingzeng Song

Proceedings of the Network and Parallel Computing, 2025

FDSI-RTDETR : A Lightweight Unmanned Aerial Vehicle (UAV) Aerial Image Small Object Detection Network.

Tianyu Guo, Qingzeng Song, Yongjiang Xue, Fei Qiao

Proceedings of the International Joint Conference on Neural Networks, 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

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

EFF-ViT: A Vision Transformer with Feature Enhancement and Fusion for Fine-Grained Visual Classification.

Kaiyue Zhang, Yongjiang Xue, Ling Du, Qingzeng Song

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

RFW-YOLO: A Multi-scale Feature Fusion Method for Infrared Anti-UAV Detection Based on WTConv.

Zijuan Li, Yongjiang Xue, Qingzeng Song

Proceedings of the Advanced Intelligent Computing Technology and Applications, 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

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

FPGA-Based Hybrid GCN-Transformer Accelerator for 3D Pose Estimation.

Ziqi Zhang, Yongjiang Xue, Fei Qiao, Qingzeng Song

Proceedings of the Algorithms and Architectures for Parallel Processing, 2025

Multi-task Low-Level Vision Network for FPGA Deployment: SL-SYENet Joint Optimization Framework.

Shenao Li, Yongjiang Xue, Fei Qiao, Qingzeng Song

Proceedings of the Algorithms and Architectures for Parallel Processing, 2025

ELTC: An End-to-End Large Language Model-Based Tensor Compilation Optimization Framework.

WenBo Ma, Qingzeng Song, Fei Qiao, Yongjiang Xue, Mingze Sun

Proceedings of the Programming Languages and Systems - 23rd Asian Symposium, 2025

2024

Design and Implementation of a Universal Shift Convolutional Neural Network Accelerator.

Qingzeng Song, Weizhi Cui, Liankun Sun, Guanghao Jin

IEEE Embed. Syst. Lett., March, 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., February, 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

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-Speed Object Detection in Near Space Based on Improved YOLOv8s.

Ming Ma, Botao Hu, Qingzeng Song

Proceedings of the 2024 13th International Conference on Computing and Pattern Recognition, 2024

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

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

Proceedings of the 2023 International Conference on Information Education and Artificial Intelligence, 2023

Research on Multi-Domain Sample Classification Method Based on Baidu API.

Yuwei Cui, Qingzeng Song, Yongjiang Xue, Jing Yu

Proceedings of the 2023 4th International Conference on Control, 2023

2022

Flexible brain: a domain-model based bayesian network for classification.

Guanghao Jin, Qingzeng Song

J. Exp. Theor. Artif. Intell., 2022

The Classification of Multi-Domain Samples Based on the Cooperation of Multiple Models.

Qingzeng Song, Junting Xu, Lei Ma, Ping Yang, Guanghao Jin

Complex., 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 Multiple-domain Samples based on Multiple Deep Learning Models.

Junting Xu, Ping Yang, Guanghao Jin, Qingzeng Song

Proceedings of the 2nd International Conference on Control and Intelligent Robotics, 2022

Infrared Image Object Detection of Vehicle and Person Based on Improved YOLOv5.

Jintao Wang, Qingzeng Song, Maorui Hou, Guanghao Jin

Proceedings of the Web and Big Data. APWeb-WAIM 2022 International Workshops, 2022

2021

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

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

The classification and denoising of image noise based on deep neural networks.

Fan Liu, Qingzeng Song, Guanghao Jin

Appl. Intell., 2020

De-speckling Convolutional Neural Network and Classification Method for SAR Images.

Yapei Zhao, Qingzeng Song, Xuechun Wang, Yijie Zhang, Guanghao Jin

Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

2018

Deep Learning based Framework for Underwater Acoustic Signal Recognition and Classification.

Hao Wu, Qingzeng Song, Guanghao Jin

Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, 2018