Ruiting Zhang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 10

Top Topics

Discriminative Features

Domain Adaptation

Support Vector Data Description

Top Venues

Appl. Math. Comput.

Discret. Appl. Math.

Publications

Linyun Xie, Yao Zhang, Hui Hong, Shan Xu, Lei Cui, Shuyue Wang, Jixuan Li, Lingyun Liu, Miao Lin, Xiao Luo, Kaicheng Li, Qingze Zeng, Minming Zhang, Ruiting Zhang, Peiyu Huang
Higher intracranial arterial pulsatility is associated with presumed imaging markers of the glymphatic system: An explorative study. NeuroImage 288 (2024)
Yibo Li, Ruiting Zhang, Qiong Fan
On the maximal augmented Zagreb index of unicyclic graphs with given girth. Discret. Appl. Math. 356 (2024)
Valentin Demeusy, Florent Roche, Fabrice Vincent, May Taha, Ruiting Zhang, Eric Jouvent, Hugues Chabriat, Jessica Lebenberg
Development and validation of a two-stage convolutional neural network algorithm for segmentation of MRI white matter hyperintensities for longitudinal studies in CADASIL. Comput. Biol. Medicine 180 (2024)
Xiaolong Hu, Ruiting Zhang, Zefan Zhang
Research on the Design of Shared Intelligent Pet Management Cage in the Context of Mobile Internet. CIIS (2022)
Yuntao Du, Ruiting Zhang, Xiaowen Zhang, Yirong Yao, Hengyang Lu, Chongjun Wang
Learning transferable and discriminative features for unsupervised domain adaptation. Intell. Data Anal. 26 (2) (2022)
Huiqing Liu, Ruiting Zhang, Shunzhe Zhang
On the global strong resilience of fault Hamiltonian graphs. Appl. Math. Comput. 418 (2022)
Shuang Zhai, Xinyu Yang, Ruiting Zhang, Chao Cheng
A Novel Fault Diagnosis Approach Based on Correlation Analysis and Improved Two-Stream Neural Networks. IEEE Access 10 (2022)
Yuntao Du, Yikang Cao, Yumeng Zhou, Yinghao Chen, Ruiting Zhang, Chongjun Wang
Self Separation and Misseparation Impact Minimization for Open-Set Domain Adaptation. DASFAA (2) (2021)
Yuntao Du, Ruiting Zhang, Yikang Cao, Xiaowen Zhang, Zhiwen Tan, Chongjun Wang
Unsupervised domain adaptation with exploring more statistics and discriminative information. CoRR (2020)
Huiqing Liu, Ruiting Zhang, Xiaolan Hu
Burning number of theta graphs. Appl. Math. Comput. 361 (2019)
Ruiting Zhang, Yuting Kang
A Fuzzy Least Square Support Tensor Machines Based on Support Vector Data Description. ITITS (2) (2015)
Kuaini Wang, Ruiting Zhang, Xujuan Li, Hui Ning
Calorific Value Prediction of Coal Based on Least Squares Support Vector Regression. ITITS (1) (2015)
Ruiting Zhang, Zhijian Zhou
A Fuzzy Least Squares Support Tensor Machines in Machine Learning. iJET 10 (8) (2015)