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2020 – today
- 2024
[j11]Qingzeng Song, Weizhi Cui
, Liankun Sun, Guanghao Jin:
Design and Implementation of a Universal Shift Convolutional Neural Network Accelerator. IEEE Embed. Syst. Lett. 16(1): 17-20 (2024)- [j10]Qingzeng Song, Maorui Hou, Yongjiang Xue, Jing Yu:
MA-YOLO: a multi-attention object detection network for remote sensing images. Adv. Math. Commun. 33(1) (2024) - [j9]Guanghao Jin, Yuming Jiao, Jianming Wang, Ming Ma, Qingzeng Song:
Improving the performance of deep learning-based classification when a sample has various appearances. J. Exp. Theor. Artif. Intell. 36(2): 235-256 (2024) - [j8]Qingzeng Song, Yao Dai, Hao Lu, Guanghao Jin:
High-throughput systolic array-based accelerator for hybrid transformer-CNN networks. J. King Saud Univ. Comput. Inf. Sci. 36(9): 102194 (2024) - 2023
- [j7]Yuelong Li, Yue Xing, Zhiwei Wang, Tengfei Xiao, Qingzeng Song, Weiwei Li, Jianming Wang:
A Framework of Maximum Feature Exploration Oriented Remote Sensing Object Detection. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [c6]Yuwei Cui, Qingzeng Song, Yongjiang Xue, Jing Yu:
Research on Multi-Domain Sample Classification Method Based on Baidu API. CCRIS 2023: 12-19 - [c5]Guanghao Jin, Junhua Zhao, Yuqing Wang, Jieying Wang, Hui Du, Qingzeng Song:
Multi-level Teaching Text Classification based on the Fusion of Deep Learning Models. ICIEAI 2023: 155-159 - 2022
- [j6]Qingzeng Song, Jiabing Zhang, Liankun Sun, Guanghao Jin:
Design and Implementation of Convolutional Neural Networks Accelerator Based on Multidie. IEEE Access 10: 91497-91508 (2022) - [j5]Qingzeng Song, Junting Xu, Lei Ma, Ping Yang, Guanghao Jin:
The Classification of Multi-Domain Samples Based on the Cooperation of Multiple Models. Complex. 2022: 5578043:1-5578043:13 (2022) - [j4]Guanghao Jin, Qingzeng Song:
Flexible brain: a domain-model based bayesian network for classification. J. Exp. Theor. Artif. Intell. 34(6): 1011-1028 (2022) - [c4]Jintao Wang, Qingzeng Song, Maorui Hou, Guanghao Jin:
Infrared Image Object Detection of Vehicle and Person Based on Improved YOLOv5. APWeb/WAIM Workshops 2022: 175-187 - [c3]Junting Xu, Ping Yang, Guanghao Jin, Qingzeng Song:
The Classification of Multiple-domain Samples based on Multiple Deep Learning Models. ICCIR 2022: 573-579 - 2021
- [j3]Guanghao Jin, Yixin Hu, Yuming Jiao, Junfang Wen, Qingzeng Song:
Improving the Performance of Deep Learning Model-Based Classification by the Analysis of Local Probability. Complex. 2021: 5534385:1-5534385:11 (2021) - 2020
- [j2]Fan Liu, Qingzeng Song, Guanghao Jin:
The classification and denoising of image noise based on deep neural networks. Appl. Intell. 50(7): 2194-2207 (2020) - [j1]Guanghao Jin, Fan Liu, Hao Wu, Qingzeng Song:
Deep learning-based framework for expansion, recognition and classification of underwater acoustic signal. J. Exp. Theor. Artif. Intell. 32(2): 205-218 (2020) - [c2]Yapei Zhao, Qingzeng Song, Xuechun Wang, Yijie Zhang, Guanghao Jin:
De-speckling Convolutional Neural Network and Classification Method for SAR Images. ICACI 2020: 194-198
2010 – 2019
- 2018
- [c1]Hao Wu, Qingzeng Song, Guanghao Jin:
Deep Learning based Framework for Underwater Acoustic Signal Recognition and Classification. CSAI/ICIMT 2018: 385-388
Coauthor Index
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