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Guangyuan Fu
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2020 – today
- 2024
- [i1]Ling Wang, Runfa Chen, Yikai Wang, Fuchun Sun, Xinzhou Wang, Sun Kai, Guangyuan Fu, Jianwei Zhang, Wenbing Huang:
Equivariant Local Reference Frames for Unsupervised Non-rigid Point Cloud Shape Correspondence. CoRR abs/2404.00959 (2024) - 2022
- [j23]Min Yue
, Guangyuan Fu, Ming Wu, Xin Zhang, Hongyang Gu:
Self-supervised monocular depth estimation in dynamic scenes with moving instance loss. Eng. Appl. Artif. Intell. 112: 104862 (2022) - [j22]Hongyang Gu, Jianmin Li, Guangyuan Fu, Min Yue, Jun Zhu:
Loss function search for person re-identification. Pattern Recognit. 124: 108432 (2022) - [j21]Min Yue
Vehicle motion segmentation via combining neural networks and geometric methods. Robotics Auton. Syst. 155: 104166 (2022) - [c10]Hongyang Gu, Jianmin Li, Guangyuan Fu, Chifong Wong, Xinghao Chen, Jun Zhu:
AutoLoss-GMS: Searching Generalized Margin-based Softmax Loss Function for Person Re-identification. CVPR 2022: 4734-4743 - 2021
- [j20]Ling Wang
Multiple Kernel Learning With Minority Oversampling for Classifying Imbalanced Data. IEEE Access 9: 565-580 (2021) - [j19]Ling Wang
Multi-Nyström Method Based on Multiple Kernel Learning for Large Scale Imbalanced Classification. Comput. Intell. Neurosci. 2021: 9911871:1-9911871:11 (2021) - [j18]Shaolei Zhang, Guangyuan Fu, Hongqiao Wang, Yuqing Zhao
Spectral recovery-guided hyperspectral super-resolution using transfer learning. IET Image Process. 15(11): 2656-2665 (2021) - [j17]Yuqing Zhao
Generative Adversarial Network-Based Edge-Preserving Superresolution Reconstruction of Infrared Images. Int. J. Digit. Multim. Broadcast. 2021: 5519508:1-5519508:12 (2021) - [j16]Hongyang Gu, Guangyuan Fu, Jianmin Li, Jun Zhu:
Auto-ReID+: Searching for a multi-branch ConvNet for person re-identification. Neurocomputing 435: 53-66 (2021) - [j15]Hongyang Gu, Guangyuan Fu, Xu Wang, Jun Zhu:
Learning auto-scale representations for person re-identification. Image Vis. Comput. 112: 104241 (2021) - [j14]Shaolei Zhang
Degradation learning for unsupervised hyperspectral image super-resolution based on generative adversarial network. Signal Image Video Process. 15(8): 1695-1703 (2021) - [c9]Chengbo Li, Lin Zhu, Guangyuan Fu, Longzhi Du, Canhua Zhao, Tianlun Ma, Chang Ye, Pei Lee:
Learning to Bundle Proactively for On-Demand Meal Delivery. CIKM 2021: 3898-3905 - [c8]Shaolei Zhang, Guangyuan Fu, Hongqiao Wang, Yuqing Zhao:
Deep Multi-scale Recursive Residual Attention Network for Spectral Super Resolution. ICIAI 2021: 26-31 - 2020
- [j13]Min Yue
Semi-Supervised Monocular Depth Estimation Based on Semantic Supervision. J. Intell. Robotic Syst. 100(2): 455-463 (2020) - [j12]Shaolei Zhang
Superpixel Spectral Unmixing for Hyperspectral Image Superresolution Using a Coupled Encoder-Decoder Network. J. Sensors 2020: 8886178:1-8886178:8 (2020) - [j11]Guoxian Yu
NMFGO: Gene Function Prediction via Nonnegative Matrix Factorization with Gene Ontology. IEEE ACM Trans. Comput. Biol. Bioinform. 17(1): 238-249 (2020)
2010 – 2019
- 2019
- [j10]Zhuo Zhang
Generative Reversible Data Hiding by Image-to-Image Translation via GANs. Secur. Commun. Networks 2019: 4932782:1-4932782:10 (2019) - [j9]Qingchao Wang
Soft-clustering-based local multiple kernel learning algorithm for classification. Soft Comput. 23(11): 3697-3706 (2019) - [c7]Junyi Yao, Hongqiao Wang, Ling Wang, Guangyuan Fu:
High Precision Classification of Hyperspectral Image Based on A Hierarchical Localized Multiple Kernel Learning Method. CISP-BMEI 2019: 1-5 - 2018
- [j8]Guangyuan Fu, Jun Wang
Matrix factorization-based data fusion for the prediction of lncRNA-disease associations. Bioinform. 34(9): 1529-1537 (2018) - [j7]Hongqiao Wang, Yan-Ning Cai, Guangyuan Fu, Ming Wu, Zhenhua Wei:
Data-driven fault prediction and anomaly measurement for complex systems using support vector probability density estimation. Eng. Appl. Artif. Intell. 67: 1-13 (2018) - [j6]Qingchao Wang, Guangyuan Fu, Linlin Li, Hongqiao Wang, Yongqiang Li:
Data-dependent multiple kernel learning algorithm based on soft-grouping. Pattern Recognit. Lett. 112: 111-117 (2018) - [j5]Guoxian Yu
NewGOA: Predicting New GO Annotations of Proteins by Bi-Random Walks on a Hybrid Graph. IEEE ACM Trans. Comput. Biol. Bioinform. 15(4): 1390-1402 (2018) - [c6]Guoxian Yu, Yuehui Wang, Jun Wang, Guangyuan Fu, Maozu Guo, Carlotta Domeniconi:
Weighted matrix factorization based data fusion for predicting lncRNA-disease associations. BIBM 2018: 572-577 - [c5]Hongqiao Wang, Yan-Ning Cai, Junyi Yao, Shaolei Zhang, Guangyuan Fu:
SAR Image Fast Online ATR Based on Visual Attention and Scale Analysis. ICCSIP (1) 2018: 143-154 - [c4]Guangyuan Fu, Yuan Li, Tieming Chen:
Collaborative Pursuing of Multiple Mobile Robots in Dynamic Environment. ICRAI 2018: 92-96 - 2016
- [j4]Guangyuan Fu, Jun Wang, Bo Yang, Guo-Xian Yu:
NegGOA: negative GO annotations selection using ontology structure. Bioinform. 32(19): 2996-3004 (2016) - [j3]Guo-Xian Yu, Wei Luo, Guangyuan Fu, Jun Wang:
Interspecies gene function prediction using semantic similarity. BMC Syst. Biol. 10(4): 495-507 (2016) - [j2]Hongqiao Wang
Robust Automatic Target Recognition Algorithm for Large-Scene SAR Images and Its Adaptability Analysis on Speckle. Sci. Program. 2016: 3801053:1-3801053:11 (2016) - [j1]Guo-Xian Yu, Guangyuan Fu, Jun Wang, Hailong Zhu:
Predicting Protein Function via Semantic Integration of Multiple Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 13(2): 220-232 (2016) - [c3]Guangyuan Fu, Qingchao Wang, Hongqiao Wang, Dongying Bai:
Group based non-sparse localized multiple kernel learning algorithm for image classification. CCIS 2016: 191-195 - [c2]Hongqiao Wang, Yan-Ning Cai, Guangyuan Fu, Ming Wu:
Visual-Cognition-Driven SAR Multiple Targets Robust Feature Extraction, Recognition and Tracking. ICCSIP 2016: 100-112 - 2015
- [c1]Hongqiao Wang, Guangyuan Fu, Yan-Ning Cai, Shicheng Wang:
Multiple feature fusion based image classification using a non-biased multi-scale kernel machine. FSKD 2015: 700-704
Coauthor Index
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