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2020 – today
- 2025
[j14]Longhao Li, Li Li, Yunfeng Zhang
, Fangxun Bao, Xunxiang Yao, Cai-Ming Zhang:
Cyclic deformable medical image registration with prompt: deep fusion of diffeomorphic and transformer methods. Appl. Intell. 55(4): 296 (2025)- 2024
- [j13]Qiuyue Zhang, Yunfeng Zhang, Xunxiang Yao, Shilong Li, Caiming Zhang, Peide Liu:
A Dynamic Attributes-driven Graph Attention Network Modeling on Behavioral Finance for Stock Prediction. ACM Trans. Knowl. Discov. Data 18(1): 16:1-16:29 (2024) - 2023
- [j12]Peipei Liu, Yunfeng Zhang, Fangxun Bao, Xunxiang Yao, Caiming Zhang:
Multi-type data fusion framework based on deep reinforcement learning for algorithmic trading. Appl. Intell. 53(2): 1683-1706 (2023) - [j11]Yuetong Liu, Rui Zhang, Yunfeng Zhang, Xiao Pan, Xunxiang Yao, Zhaorui Ni, Huijian Han:
Recurrent context-aware multi-stage network for single image deraining. Comput. Vis. Image Underst. 227: 103612 (2023) - [j10]Yuetong Liu, Rui Zhang, Yunfeng Zhang, Xunxiang Yao, Huijian Han:
Single image deraining via a recurrent multi-attention enhancement network. Signal Process. Image Commun. 113: 116926 (2023) - 2022
- [j9]Ziyi Sun, Yunfeng Zhang, Fangxun Bao, Ping Wang, Xunxiang Yao, Caiming Zhang:
SADnet: Semi-supervised Single Image Dehazing Method Based on an Attention Mechanism. ACM Trans. Multim. Comput. Commun. Appl. 18(2): 58:1-58:23 (2022) - [c2]Yuetong Liu, Rui Zhang, Yunfeng Zhang, Yang Ning, Xunxiang Yao, Huijian Han:
Recurrent Multi-connection Fusion Network for Single Image Deraining. VCIP 2022: 1-5 - 2021
- [b1]Xunxiang Yao:
Image Super-Resolution Based on Fractal Analysis. University of Technology Sydney, Australia, 2021 - [j8]Peng Zhang, Qiang Wu, Xunxiang Yao, Jingsong Xu:
Beyond modality alignment: Learning part-level representation for visible-infrared person re-identification. Image Vis. Comput. 108: 104118 (2021) - [j7]Xunxiang Yao, Qiang Wu, Peng Zhang, Fangxun Bao:
Weighted Adaptive Image Super-Resolution Scheme Based on Local Fractal Feature and Image Roughness. IEEE Trans. Multim. 23: 1426-1441 (2021) - 2020
- [j6]Gang Song, Chao Qin, Kaixiang Zhang, Xunxiang Yao, Fangxun Bao, Yunfeng Zhang:
Adaptive Interpolation Scheme for Image Magnification Based on Local Fractal Analysis. IEEE Access 8: 34326-34338 (2020) - [j5]Yunfeng Zhang, Ping Wang, Qinglan Fan, Fangxun Bao, Xunxiang Yao, Caiming Zhang:
Single Image Numerical Iterative Dehazing Method Based on Local Physical Features. IEEE Trans. Circuits Syst. Video Technol. 30(10): 3544-3557 (2020) - [j4]Yunfeng Zhang, Ping Wang, Fangxun Bao, Xunxiang Yao, Caiming Zhang, Hongwei Lin:
A Single-Image Super-Resolution Method Based on Progressive-Iterative Approximation. IEEE Trans. Multim. 22(6): 1407-1422 (2020)
2010 – 2019
- 2019
- [j3]Xunxiang Yao, Qiang Wu, Peng Zhang, Fangxun Bao:
Adaptive rational fractal interpolation function for image super-resolution via local fractal analysis. Image Vis. Comput. 82: 39-49 (2019) - 2018
- [j2]Fangxun Bao, Xunxiang Yao, Qinghua Sun, Yunfeng Zhang, Caiming Zhang:
Smooth fractal surfaces derived from bicubic rational fractal interpolation functions. Sci. China Inf. Sci. 61(9): 099104:1-099104:3 (2018) - [j1]Xunxiang Yao, Yunfeng Zhang, Fangxun Bao, Yifang Liu, Caiming Zhang:
The blending interpolation algorithm based on image features. Multim. Tools Appl. 77(2): 1971-1995 (2018) - 2016
- [c1]Qinglan Fan, Yunfeng Zhang, Xunxiang Yao, Fangxun Bao, Xiaohong Shen:
A New Interpolation Algorithm Based on the Frequency Transform. DASC/PiCom/DataCom/CyberSciTech 2016: 217-222
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