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Yuan, Zehuan
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1

Exploring the mechanism of Xiaoqinglong decoction in the tr..:

Chen, Daman ; Chen, Qiqi ; Zhao, Kaibo...
Medicine.  102 (2023)  2 - p. e32623 , 2023
Link: https://doi.org/10.1097/..
 
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2

Trimap-guided feature mining and fusion network for natural..:

Jiang, Weihao ; Yu, Dongdong ; Xie, Zhaozhi...
Computer Vision and Image Understanding.  230 (2023)  - p. 103645 , 2023
Link: https://doi.org/10.1016/..
 
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3

Sparse R-CNN: An End-to-End Framework for Object Detection:

Sun, Peize ; Zhang, Rufeng ; Jiang, Yi...
IEEE Transactions on Pattern Analysis and Machine Intelligence.  45 (2023)  12 - p. 15650-15664 , 2023
Link: https://doi.org/10.1109/..
 
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4

DMRNet++: Learning Discriminative Features With Decoupled N..:

Han, Chuchu ; Zheng, Zhedong ; Su, Kai...
IEEE Transactions on Pattern Analysis and Machine Intelligence.  45 (2023)  6 - p. 7319-7337 , 2023
Link: https://doi.org/10.1109/..
 
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5

MCIBI++: Soft Mining Contextual Information Beyond Image fo..:

Jin, Zhenchao ; Yu, Dongdong ; Yuan, Zehuan.
IEEE Transactions on Pattern Analysis and Machine Intelligence.  45 (2023)  5 - p. 5988-6005 , 2023
Link: https://doi.org/10.1109/..
 
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6

Conditional Hyper-Network for Blind Super-Resolution With M..:

Yin, Guanghao ; Wang, Wei ; Yuan, Zehuan...
IEEE Transactions on Image Processing.  31 (2022)  - p. 3949-3960 , 2022
Link: https://doi.org/10.1109/..
 
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7

Learning discriminated and correlated patches for multi-vie..:

Yuan, Zehuan ; Lu, Tong ; Tan, Chew Lim
Pattern Recognition.  69 (2017)  - p. 26-38 , 2017
Link: https://doi.org/10.1016/..
 
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8

Modeling spatial layout for scene image understanding via a..:

Yuan, Zehuan ; Wang, Hao ; Wang, Limin...
Expert Systems with Applications.  63 (2016)  - p. 231-240 , 2016
Link: https://doi.org/10.1016/..
 
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9

New Gradient-Spatial-Structural Features for video script i..:

Shivakumara, Palaiahnakote ; Yuan, Zehuan ; Zhao, Danni..
Computer Vision and Image Understanding.  130 (2015)  - p. 35-53 , 2015
Link: https://doi.org/10.1016/..
 
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10

Incremental 3D reconstruction using Bayesian learning:

Yuan, Ze-Huan ; Lu, Tong
Applied Intelligence.  39 (2013)  4 - p. 761-771 , 2013
Link: https://doi.org/10.1007/..
 
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11

Improved multistep ahead photovoltaic power prediction mode..:

Hu, Zehuan ; Gao, Yuan ; Ji, Siyu..
Applied Energy.  359 (2024)  - p. 122709 , 2024
Link: https://doi.org/10.1016/..
 
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12

Solutions to the insufficiency of label data in renewable e..:

Gao, Yuan ; Hu, Zehuan ; Chen, Wei-An.
Energy.  302 (2024)  - p. 131863 , 2024
Link: https://doi.org/10.1016/..
 
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13

Self-learning dynamic graph neural network with self-attent..:

Hu, Zehuan ; Gao, Yuan ; Sun, Luning..
Applied Energy.  364 (2024)  - p. 123156 , 2024
Link: https://doi.org/10.1016/..
 
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14

Adversarial discriminative domain adaptation for solar radi..:

Gao, Yuan ; Hu, Zehuan ; Shi, Shanrui..
Applied Energy.  359 (2024)  - p. 122685 , 2024
Link: https://doi.org/10.1016/..
 
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15

Improved robust model predictive control for residential bu..:

Hu, Zehuan ; Gao, Yuan ; Sun, Luning..
Applied Energy.  371 (2024)  - p. 123652 , 2024
Link: https://doi.org/10.1016/..
 
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