Fang Liu
Fang Liu
Professor of Xidian University
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Cited by
Cited by
MOEA/D with adaptive weight adjustment
Y Qi, X Ma, F Liu, L Jiao, J Sun, J Wu
Evolutionary computation 22 (2), 231-264, 2014
A survey of deep learning-based object detection
L Jiao, F Zhang, F Liu, S Yang, L Li, Z Feng, R Qu
IEEE access 7, 128837-128868, 2019
Spectral clustering ensemble applied to SAR image segmentation
X Zhang, L Jiao, F Liu, L Bo, M Gong
IEEE Transactions on Geoscience and Remote Sensing 46 (7), 2126-2136, 2008
焦李成, 杨淑媛, 刘芳, 侯彪
电子学报 39 (7), 1651, 2011
Development and prospect of compressive sensing
LC Jiao, SY Yang, F Liu, B Hou
Dianzi Xuebao(Acta Electronica Sinica) 39 (7), 1651-1662, 2011
免疫优化计算, 学习与识别
焦李成, 杜海峰, 刘芳, 公茂果
北京: 科学出版社 5, 770-776, 2006
A multiobjective evolutionary algorithm based on decision variable analyses for multiobjective optimization problems with large-scale variables
X Ma, F Liu, Y Qi, X Wang, L Li, L Jiao, M Yin, M Gong
IEEE Transactions on Evolutionary Computation 20 (2), 275-298, 2015
A novel immune clonal algorithm for MO problems
R Shang, L Jiao, F Liu, W Ma
IEEE Transactions on Evolutionary Computation 16 (1), 35-50, 2011
SAR image segmentation based on convolutional-wavelet neural network and Markov random field
Y Duan, F Liu, L Jiao, P Zhao, L Zhang
Pattern Recognition 64, 255-267, 2017
POL-SAR image classification based on Wishart DBN and local spatial information
F Liu, L Jiao, B Hou, S Yang
IEEE Transactions on Geoscience and Remote Sensing 54 (6), 3292-3308, 2016
Learning intrinsic sparse structures within long short-term memory
W Wen, Y He, S Rajbhandari, M Zhang, W Wang, F Liu, B Hu, Y Chen, ...
arXiv preprint arXiv:1709.05027, 2017
Sparse reconstruction for quantitative bioluminescence tomography based on the incomplete variables truncated conjugate gradient method
X He, J Liang, X Wang, J Yu, X Qu, X Wang, Y Hou, D Chen, F Liu, J Tian
Optics Express 18 (24), 24825-24841, 2010
Wishart deep stacking network for fast POLSAR image classification
L Jiao, F Liu
IEEE Transactions on Image Processing 25 (7), 3273-3286, 2016
Unsupervised feature selection based on maximum information and minimum redundancy for hyperspectral images
J Feng, L Jiao, F Liu, T Sun, X Zhang
Pattern Recognition 51, 295-309, 2016
Interactive MOEA/D for multi-objective decision making
M Gong, F Liu, W Zhang, L Jiao, Q Zhang
Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011
Mutual-information-based semi-supervised hyperspectral band selection with high discrimination, high information, and low redundancy
J Feng, L Jiao, F Liu, T Sun, X Zhang
IEEE Transactions on Geoscience and Remote Sensing 53 (5), 2956-2969, 2014
Artificial immune multi-objective SAR image segmentation with fused complementary features
D Yang, L Jiao, M Gong, F Liu
Information Sciences 181 (13), 2797-2812, 2011
Overlapping community detection via network dynamics
J Wu, L Jiao, C Jin, F Liu, M Gong, R Shang, W Chen
Physical Review E 85 (1), 016115, 2012
Seventy years beyond neural networks: retrospect and prospect
LC Jiao, SY Yang, F Liu, SG Wang, ZX Feng
Chinese Journal of Computers 39 (8), 1697-1716, 2016
神经网络七十年: 回顾与展望
焦李成, 杨淑媛, 刘芳, 王士刚, 冯志玺
计算机学报 39 (8), 1697-1716, 2016
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