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Publication search results
found 20 matches
- 2024
- 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) - 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) - Guanda Wang, Guangfeng Zhou, Qingze Zhang, Dong He, Chun Zhao, Hui Suo:
Sensitive Electrochemical Detection of Ammonia Nitrogen via a Platinum-Zinc Alloy Nanoflower-Modified Carbon Cloth Electrode. Sensors 24(3): 915 (2024) - 2023
- Qingze Yin, Guan'an Wang, Guodong Ding, Qilei Li, Shaogang Gong, Zhenmin Tang:
Rapid Person Re-Identification via Sub-space Consistency Regularization. Neural Process. Lett. 55(3): 3149-3168 (2023) - Qingze Guan, Zi Heng Lim, Haoyang Sun, Jeremy Xuan Yu Chew, Guangya Zhou:
Review of Miniaturized Computational Spectrometers. Sensors 23(21): 8768 (2023) - 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
- 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) - 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) - Guanghao Jin, Qingzeng Song:
Flexible brain: a domain-model based bayesian network for classification. J. Exp. Theor. Artif. Intell. 34(6): 1011-1028 (2022) - Xiaojun Guan, Tao Guo, Cheng Zhou, Jingjing Wu, Qingze Zeng, Kaicheng Li, Xiao Luo, Xueqin Bai, Haoting Wu, Ting Gao, Luyan Gu, Xiaocao Liu, Zhengye Cao, Jiaqi Wen, Jingwen Chen, Hongjiang Wei, Yuyao Zhang, Chunlei Liu, Zhe Song, Yaping Yan, Jiali Pu, Baorong Zhang, Xiaojun Xu, Minming Zhang:
Altered brain iron depositions from aging to Parkinson's disease and Alzheimer's disease: A quantitative susceptibility mapping study. NeuroImage 264: 119683 (2022) - 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 - Junting Xu, Ping Yang, Guanghao Jin, Qingzeng Song:
The Classification of Multiple-domain Samples based on Multiple Deep Learning Models. ICCIR 2022: 573-579 - Qingze Yin, Guan'an Wang, Guodong Ding, Qilei Li, Shaogang Gong, Zhenmin Tang:
Rapid Person Re-Identification via Sub-space Consistency Regularization. CoRR abs/2207.05933 (2022) - 2021
- 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) - Qingze Yin, Guan'an Wang, Guodong Ding, Shaogang Gong, Zhenmin Tang:
Multi-View Label Prediction for Unsupervised Learning Person Re-Identification. IEEE Signal Process. Lett. 28: 1390-1394 (2021) - Fanzhou Wang, Chenxing Wang, Qingze Guan:
Single-shot fringe projection profilometry based on Deep Learning and Computer Graphics. CoRR abs/2101.00814 (2021) - 2020
- 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) - 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) - 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 - 2018
- Hao Wu, Qingzeng Song, Guanghao Jin:
Deep Learning based Framework for Underwater Acoustic Signal Recognition and Classification. CSAI/ICIMT 2018: 385-388
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