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Juan Yang 0001
Person information
- affiliation: Hefei University of Technology, School of Computer Science and Information Engineering, Hefei, China
Other persons with the same name
- Juan Yang — disambiguation page
- Juan Yang 0002 — Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing, China
- Juan Yang 0003 — Wuhan University of Science and Technology, College of Computer Science and Technology, Hubei Province Key Laboratory of Intelligence Information Processing and Real-time Industrial System, Wuhan, China (and 1 more)
- Juan Yang 0004 — Sichuan Normal University, College of Computer Science, Chengdu, China
- Juan Yang 0005 — Shantou University, College of Engineering, Shantou, China
- Juan Yang 0006 — Chinese Academy of Sciences, Institute of Acoustics, Ocean Acoustic Technology Laboratory, Beijing, China
- Juan Yang 0007 — Beijing University of Posts and Telecommunications, School of Science, Beijing, China
- Juan Yang 0008 — Southwest University, Faculty of Psychology, Chongqing, China
- Juan Yang 0009 — CHN ENERGY Dadu River Dagangshan Power Generation Co.,Ltd, China
- Juan Yang 0010 — Northwestern Polytechnical University, School of Astronautic, Xi'an, China
- Juan Yang 0011 — Shandong Normal University, School of Physics and Electronics, Jinan, China
- Juan Yang 0012 — University of Electronic Science and Technology of China, National Key Lab of Science and Technology on Communications, Chengdu, China (and 1 more)
- Juan Yang 0013 — Hubei University of Technology, School of Computer Science, Wuhan, China
- Juan Yang 0014 — Chinese Academy of Science and Technology for Development, Institute of Comprehensive Development, Beijing, China
- Juan Yang 0015 — Hunan University, College of Mathematics and Econometrics, Changsha, China
- Juan Yang 0016 — Southwest University, Intelligent Software and Software Engineering Laboratory, Chongqing, China
- Juan Yang 0017 — Shanghai Academy of Agricultural Sciences, Technology & Engineering Research Center for Digital Agriculture, Shanghai, China
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2020 – today
- 2024
- [j31]Dan Jiang, Ronggui Wang, Lixia Xue, Juan Yang:
Multisource hierarchical neural network for knowledge graph embedding. Expert Syst. Appl. 237(Part B): 121446 (2024) - [j30]Juan Yang, Guanghong Zhou, Ronggui Wang, Lixia Xue:
Sample-Adaptive Classification Inference Network. Neural Process. Lett. 56(3): 185 (2024) - [c2]Guanghong Zhou, Juan Yang, Ronggui Wang, Lixia Xue:
Text Classification Network Based on Token Dynamic Decay. CSAIDE 2024: 153-157 - [c1]Wenhao Jia, Ronggui Wang, Juan Yang, Lixia Xue:
MGTANet: Multi-Scale Guided Token Attention Network for Image Captioning. CSAIDE 2024: 237-245 - 2023
- [j29]Ronggui Wang, Cong Yang, Juan Yang, Lixia Xue:
FPIseg: Iterative segmentation network based on feature pyramid for few-shot segmentation. IET Image Process. 17(13): 3801-3814 (2023) - [j28]Lixia Xue, JunHui Shen, Ronggui Wang, Juan Yang:
MFFN: Multi-path feedback fusion network for lightweight image super resolution. IET Image Process. 17(14): 4190-4201 (2023) - [j27]Lixia Xue, Awen Zhang, Ronggui Wang, Juan Yang:
PSNet: position-shift alignment network for image caption. Int. J. Multim. Inf. Retr. 12(2): 42 (2023) - 2022
- [j26]Qianjin Zhang, Ronggui Wang, Juan Yang, Lixia Xue:
Structural context-based knowledge graph embedding for link prediction. Neurocomputing 470: 109-120 (2022) - [j25]Qianjin Zhang, Ronggui Wang, Juan Yang, Lixia Xue:
Knowledge graph embedding by reflection transformation. Knowl. Based Syst. 238: 107861 (2022) - [j24]Dan Jiang, Ronggui Wang, Lixia Xue, Juan Yang:
Multiview feature augmented neural network for knowledge graph embedding. Knowl. Based Syst. 255: 109721 (2022) - [j23]Juan Yang, Xu Sun, Ronggui Wang, Lixia Xue:
PTPGC: Pedestrian trajectory prediction by graph attention network with ConvLSTM. Robotics Auton. Syst. 148: 103931 (2022) - 2021
- [j22]Mingxi Li, Ronggui Wang, Juan Yang, Lixia Xue, Min Hu:
Multi-domain few-shot image recognition with knowledge transfer. Neurocomputing 442: 64-72 (2021) - [j21]Yuxiu Gong, Ronggui Wang, Juan Yang, Lixia Xue, Min Hu:
Person Re-identification with Global-Local Background_bias Net. J. Vis. Commun. Image Represent. 74: 102961 (2021) - [j20]Qianjin Zhang, Ronggui Wang, Juan Yang, Lixia Xue:
Knowledge graph embedding by translating in time domain space for link prediction. Knowl. Based Syst. 212: 106564 (2021) - [j19]Dan Jiang, Ronggui Wang, Juan Yang, Lixia Xue:
Kernel multi-attention neural network for knowledge graph embedding. Knowl. Based Syst. 227: 107188 (2021) - [j18]Bowen Dong, Ronggui Wang, Juan Yang, Lixia Xue:
Multi-scale feature self-enhancement network for few-shot learning. Multim. Tools Appl. 80(25): 33865-33883 (2021) - 2020
- [j17]Mengya Han, Ronggui Wang, Juan Yang, Lixia Xue, Min Hu:
Multi-scale feature network for few-shot learning. Multim. Tools Appl. 79(17-18): 11617-11637 (2020) - [j16]Lixia Xue, Di Jiang, Ronggui Wang, Juan Yang, Min Hu:
Learning semantic dependencies with channel correlation for multi-label classification. Vis. Comput. 36(7): 1325-1335 (2020)
2010 – 2019
- 2019
- [j15]Min Hu, Haowen Wang, Xiaohua Wang, Juan Yang, Ronggui Wang:
Video facial emotion recognition based on local enhanced motion history image and CNN-CTSLSTM networks. J. Vis. Commun. Image Represent. 59: 176-185 (2019) - [j14]Yan Zheng, Ronggui Wang, Juan Yang, Lixia Xue, Min Hu:
Principal characteristic networks for few-shot learning. J. Vis. Commun. Image Represent. 59: 563-573 (2019) - [j13]Juan Yang, Wenjing Li, Ronggui Wang, Lixia Xue, Min Hu:
Enhanced two-phase residual network for single image super-resolution. J. Vis. Commun. Image Represent. 61: 188-197 (2019) - [j12]Ronggui Wang, Xuchen Yao, Juan Yang, Lixia Xue, Min Hu:
Hierarchical deep transfer learning for fine-grained categorization on micro datasets. J. Vis. Commun. Image Represent. 62: 129-139 (2019) - [j11]Mingyu Shen, Pengfei Yu, Ronggui Wang, Juan Yang, Lixia Xue, Min Hu:
Multipath feedforward network for single image super-resolution. Multim. Tools Appl. 78(14): 19621-19640 (2019) - [j10]Qingyang Zhang, Ronggui Wang, Juan Yang, Andrew Lewis, Francisco Chiclana, Shengxiang Yang:
Biology migration algorithm: a new nature-inspired heuristic methodology for global optimization. Soft Comput. 23(16): 7333-7358 (2019) - [j9]Long Chen, Ronggui Wang, Juan Yang, Lixia Xue, Min Hu:
Multi-label image classification with recurrently learning semantic dependencies. Vis. Comput. 35(10): 1361-1371 (2019) - 2018
- [j8]Qingyang Zhang, Ronggui Wang, Juan Yang, Kai Ding, Yongfu Li, Jiangen Hu:
Modified collective decision optimization algorithm with application in trajectory planning of UAV. Appl. Intell. 48(8): 2328-2354 (2018) - [j7]Mingyu Shen, Yonggang Zhang, Ronggui Wang, Juan Yang, Lixia Xue, Min Hu:
Robust object tracking via superpixels and keypoints. Multim. Tools Appl. 77(19): 25109-25129 (2018) - [j6]Lixia Xue, Xin Zhong, Ronggui Wang, Juan Yang, Min Hu:
Low - resolution vehicle recognition based on deep feature fusion. Multim. Tools Appl. 77(20): 27617-27639 (2018) - [j5]Ronggui Wang, Qinghui Wang, Juan Yang, Lixia Xue, Min Hu:
Super-resolution via supervised classification and independent dictionary training. Multim. Tools Appl. 77(20): 27709-27732 (2018) - 2017
- [j4]Qingyang Zhang, Ronggui Wang, Juan Yang, Kai Ding, Yongfu Li, Jiangen Hu:
Collective decision optimization algorithm: A new heuristic optimization method. Neurocomputing 221: 123-137 (2017) - [j3]Ronggui Wang, Yunfei Xie, Juan Yang, Lixia Xue, Min Hu, Qingyang Zhang:
Large scale automatic image annotation based on convolutional neural network. J. Vis. Commun. Image Represent. 49: 213-224 (2017) - 2016
- [j2]Ronggui Wang, Kai Ding, Juan Yang, Lixia Xue:
A novel method for image classification based on bag of visual words. J. Vis. Commun. Image Represent. 40: 24-33 (2016) - 2012
- [j1]Yang Lu, Juan Yang, Qiang Wang, ZhenJin Huang:
The upper bound of the minimal number of hidden neurons for the parity problem in binary neural networks. Sci. China Inf. Sci. 55(7): 1579-1587 (2012)
Coauthor Index
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last updated on 2024-11-07 20:35 CET by the dblp team
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