Dehua Liu

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 6

Top Topics

Active Learning

Dependency Graphs

Image Segmentation

Top Venues

IET Image Process.

Publications

Xuebin Xu, Dehua Liu, Guohua Huang, Muyu Wang, Meng Lei, Yang Jia
Computer aided diagnosis of diabetic retinopathy based on multi-view joint learning. Comput. Biol. Medicine 174 (2024)
Dehua Liu, Selasi Kwashie, Yidi Zhang, Guangtong Zhou, Michael Bewong, Xiaoying Wu, Xi Guo, Keqing He, Zaiwen Feng
An efficient approach for discovering Graph Entity Dependencies (GEDs). Inf. Syst. 125 (2024)
Dehua Liu, Selasi Kwashie, Yidi Zhang, Guangtong Zhou, Michael Bewong, Xiaoying Wu, Xi Guo, Keqing He, Zaiwen Feng
An Efficient Approach for Discovering Graph Entity Dependencies (GEDs). CoRR (2023)
Xuebin Xu, Meng Lei, Dehua Liu, Muyu Wang, Longbin Lu
Lung segmentation in chest X-ray image using multi-interaction feature fusion network. IET Image Process. 17 (14) (2023)
Yuxiang Zhang, Dehua Liu, Chuanpeng Su, Juncheng Liu
Location First Non-Maximum Suppression for Uncovered Muck Truck Detection. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 106 (6) (2023)
Xuebin Xu, Muyu Wang, Dehua Liu, Meng Lei, Jun Fu, Yang Jia
TransCotANet: A Lung Field Image Segmentation Network with Multidimensional Global Feature Dynamic Aggregation. Symmetry 15 (8) (2023)
Dehua Liu, Peng Zhang, Qinghua Zheng
An efficient online active learning algorithm for binary classification. Pattern Recognit. Lett. 68 (2015)
Dehua Liu, Bojun Tu, Hui Qian, Zhihua Zhang
Large-Scale Hierarchical Classification via Stochastic Perceptron. AAAI (2013)
Dehua Liu, Hui Qian, Guang Dai, Zhihua Zhang
An iterative SVM approach to feature selection and classification in high-dimensional datasets. Pattern Recognit. 46 (9) (2013)
Dehua Liu, Tengfei Zhou, Hui Qian, Congfu Xu, Zhihua Zhang
A Nearly Unbiased Matrix Completion Approach. ECML/PKDD (2) (2013)
Shusen Wang, Dehua Liu, Zhihua Zhang
Nonconvex Relaxation Approaches to Robust Matrix Recovery. IJCAI (2013)
Zhihua Zhang, Shusen Wang, Dehua Liu, Michael I. Jordan
EP-GIG Priors and Applications in Bayesian Sparse Learning. J. Mach. Learn. Res. 13 (2012)
Zhihua Zhang, Dehua Liu, Guang Dai, Michael I. Jordan
Coherence functions with applications in large-margin classification methods. J. Mach. Learn. Res. 13 (2012)