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Fubao Zhu
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2020 – today
- 2024
- [j12]Yanting Li, Shuai Wang, Junwei Jin, Fubao Zhu, Liang Zhao, Jing Liang, C. L. Philip Chen:
Imbalanced complemented subspace representation with adaptive weight learning. Expert Syst. Appl. 249: 123555 (2024) - [j11]Fubao Zhu, Yanhui Tian, Chuang Han, Yanting Li, Jiaofen Nan, Ni Yao, Weihua Zhou:
Model-level attention and batch-instance style normalization for federated learning on medical image segmentation. Inf. Fusion 107: 102348 (2024) - [j10]Qinggang Wu, Mengkun He, Wei Huang, Fubao Zhu:
Dilated Deep MPFormer Network for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j9]Yongquan Xia, Keyun Li, Duan Li, Jiaofen Nan, Ronglei Lu, Yinghui Meng, Fubao Zhu, Ni Yao, Chuang Han, Yanting Li, Peisen Liu, Tanxin Zhu:
VMD based wavelet hybrid denoising and improved FBCCA algorithm: a new technique for wearable SSVEP recognition. Signal Image Video Process. 18(8-9): 6157-6172 (2024) - [j8]Fubao Zhu, Chenguang Yang, Liang Zhu, Hongqiang Zuo, Jingzhong Gu:
MFC-RMA (Matrix Factorization and Constraints- Role Mining Algorithm): An Optimized Role Mining Algorithm. Symmetry 16(8): 1008 (2024) - [i7]Huan Huang, Liheng Qiu, Shenmiao Yang, Longxi Li, Jiaofen Nan, Yanting Li, Chuang Han, Fubao Zhu, Chen Zhao, Weihua Zhou:
Vision Transformer-based Multimodal Feature Fusion Network for Lymphoma Segmentation on PET/CT Images. CoRR abs/2402.02349 (2024) - 2023
- [j7]Fubao Zhu, Longxi Li, Jinyu Zhao, Chen Zhao, Shaojie Tang, Jiaofen Nan, Yanting Li, Zhongqiang Zhao, Jianzhou Shi, Zenghong Chen, Chuang Han, Zhixin Jiang, Weihua Zhou:
A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images. Comput. Biol. Medicine 160: 106954 (2023) - [j6]Lijie Xie, Fubao Zhu, Ni Yao:
MDR-Net: Multiscale dense residual networks for liver image segmentation. IET Image Process. 17(8): 2309-2320 (2023) - [j5]Yanting Li, Junwei Jin, Jiangtao Ma, Fubao Zhu, Baohua Jin, Jing Liang, C. L. Philip Chen:
Imbalanced least squares regression with adaptive weight learning. Inf. Sci. 648: 119541 (2023) - [i6]Ni Yao, Yanhui Tian, Daniel Gama das Neves, Chen Zhao, Cláudio Tinoco Mesquita, Wolney de Andrade Martins, Alair Augusto Sarmet Moreira Damas dos Santos, Yanting Li, Chuang Han, Fubao Zhu, Neng Dai, Weihua Zhou:
A novel method using machine learning to integrate features from lung and epicardial adipose tissue for detecting the severity of COVID-19 infection. CoRR abs/2301.12340 (2023) - [i5]Fubao Zhu, Yanhui Tian, Chuang Han, Yanting Li, Jiaofen Nan, Ni Yao, Weihua Zhou:
MLA-BIN: Model-level Attention and Batch-instance Style Normalization for Domain Generalization of Federated Learning on Medical Image Segmentation. CoRR abs/2306.17008 (2023) - [i4]Ni Yao, Hang Hu, Kaicong Chen, Chen Zhao, Yuan Guo, Boya Li, Jiaofen Nan, Yanting Li, Chuang Han, Fubao Zhu, Weihua Zhou, Li Tian:
A Robust Deep Learning Method with Uncertainty Estimation for the Pathological Classification of Renal Cell Carcinoma based on CT Images. CoRR abs/2311.00567 (2023) - 2022
- [i3]Fubao Zhu, Jinyu Zhao, Chen Zhao, Shaojie Tang, Jiaofen Nan, Yanting Li, Zhongqiang Zhao, Jianzhou Shi, Zenghong Chen, Zhixin Jiang, Weihua Zhou:
A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images. CoRR abs/2206.03603 (2022) - 2021
- [i2]Fubao Zhu, Zhengyuan Gao, Chen Zhao, Hanlei Zhu, Yong Dong, Jingfeng Jiang, Neng Dai, Weihua Zhou:
A Deep Learning-based Method to Extract Lumen and Media-Adventitia in Intravascular Ultrasound Images. CoRR abs/2102.10480 (2021) - [i1]Yinghui Meng, Minghao Dong, Xumin Dai, Haipeng Tang, Chen Zhao, Jingfeng Jiang, Shun Xu, Ying Zhou, Fubao Zhu, Zhihui Xu, Weihua Zhou:
Automatic Identification of the End-Diastolic and End-Systolic Cardiac Frames from Invasive Coronary Angiography Videos. CoRR abs/2110.02844 (2021) - 2020
- [j4]Hua Wang, Xiaoyu He, Liu-Yang Chen, Jun-Ru Yin, Li Han, Hui Liang, Fubao Zhu, Ruijie Zhu, Zhimin Gao, Mingliang Xu:
Cognition-Driven Traffic Simulation for Unstructured Road Networks. J. Comput. Sci. Technol. 35(4): 875-888 (2020) - [j3]Fubao Zhu, Xiaonan Li, Haipeng Tang, Zhuo He, Chaoyang Zhang, Guang-Uei Hung, Pai-Yi Chiu, Weihua Zhou:
Machine Learning for the Preliminary Diagnosis of Dementia. Sci. Program. 2020: 5629090:1-5629090:10 (2020)
2010 – 2019
- 2018
- [j2]Hua Wang, Mingliang Xu, Fubao Zhu, Zhigang Deng, Yafei Li, Bing Zhou:
Shadow traffic: A unified model for abnormal traffic behavior simulation. Comput. Graph. 70: 235-241 (2018) - 2014
- [j1]Weili Wang, Fubao Zhu, Ting Jin, Zhiping Qian, Long Zhang:
Towards effective GML data management: framework and prototype. Int. J. Data Min. Model. Manag. 6(4): 413-432 (2014) - 2011
- [c7]Fubao Zhu, Qianqian Guo, Jinmei Yang:
Storing GML Documents: A Model-Mapping Based Approach. DASFAA Workshops 2011: 89-100 - 2010
- [c6]Hongru Xu, Jihong Guan, Fubao Zhu:
LRIR: A hybrid semantic Web services matching approach. ICIS 2010: 335-339 - [c5]Fubao Zhu, Baohua Jin, Jun Zhang:
Towards Spatial Information Services in LBS: A GML-Based Approach. MVHI 2010: 588-591
2000 – 2009
- 2007
- [c4]Fubao Zhu, Jihong Guan, Shuigeng Zhou:
Constraints-preserving GML storage in object-relational databases. GIS 2007: 50 - [c3]Yanxiang He, Haowen Liu, Fubao Zhu:
Improved Schemes for Node Clustering in Decentralized Peer-to-Peer Networks. SITIS 2007: 461-467 - 2006
- [c2]Fubao Zhu, Jihong Guan, Jiaogen Zhou, Shuigeng Zhou:
Storing and querying GML in object-relational databases. GIS 2006: 107-114 - 2005
- [c1]Fubao Zhu, Jihong Guan, Yuhua Wang, Jiaogen Zhou, Binhua Liao:
An Automatic Negotiation Method Based on CBR and Agent Reasoning. CIT 2005: 1019-1025
Coauthor Index
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