2023 - Research.com Computer Science in China Leader Award
Artificial intelligence, Pattern recognition, Mathematical optimization, Algorithm and Computer vision are his primary areas of study. In his study, Community structure is inextricably linked to Machine learning, which falls within the broad field of Artificial intelligence. The Mathematical optimization study combines topics in areas such as Convergence and Benchmark.
Licheng Jiao works mostly in the field of Cluster analysis, limiting it down to topics relating to Data mining and, in certain cases, Complex network, as a part of the same area of interest. As a part of the same scientific family, Licheng Jiao mostly works in the field of Feature extraction, focusing on Artificial neural network and, on occasion, Backstepping and Control theory. His studies in Evolutionary algorithm integrate themes in fields like Evolutionary computation, Optimization problem, Artificial immune system and Selection.
The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Computer vision, Algorithm and Cluster analysis. His study in Synthetic aperture radar, Feature extraction, Contextual image classification, Hyperspectral imaging and Image falls under the purview of Artificial intelligence. Licheng Jiao usually deals with Feature extraction and limits it to topics linked to Deep learning and Convolutional neural network.
Licheng Jiao has researched Pattern recognition in several fields, including Pixel and Feature. His Algorithm study combines topics from a wide range of disciplines, such as Artificial immune system and Mathematical optimization. His Mathematical optimization research is multidisciplinary, incorporating elements of Convergence, Selection and Benchmark.
His primary areas of investigation include Artificial intelligence, Pattern recognition, Feature extraction, Contextual image classification and Convolutional neural network. His works in Hyperspectral imaging, Deep learning, Synthetic aperture radar, Pixel and Image are all subjects of inquiry into Artificial intelligence. His Synthetic aperture radar study combines topics in areas such as Image processing and Speckle pattern.
Licheng Jiao works mostly in the field of Pattern recognition, limiting it down to concerns involving Cluster analysis and, occasionally, Fuzzy logic. His research investigates the connection with Feature extraction and areas like Remote sensing which intersect with concerns in Object detection. The various areas that Licheng Jiao examines in his Convolutional neural network study include Artificial neural network and Convolution.
Licheng Jiao mainly investigates Artificial intelligence, Pattern recognition, Feature extraction, Convolutional neural network and Deep learning. Artificial intelligence is represented through his Hyperspectral imaging, Pixel, Contextual image classification, Artificial neural network and Cluster analysis research. Licheng Jiao has included themes like Synthetic aperture radar, Change detection and Spatial analysis in his Pattern recognition study.
His Synthetic aperture radar research is included under the broader classification of Computer vision. His Feature extraction research also works with subjects such as
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Wavelet support vector machine
Li Zhang;Weida Zhou;Licheng Jiao.
systems man and cybernetics (2004)
A novel genetic algorithm based on immunity
Licheng Jiao;Lei Wang.
systems man and cybernetics (2000)
A Survey of Deep Learning-Based Object Detection
Licheng Jiao;Fan Zhang;Fang Liu;Shuyuan Yang.
IEEE Access (2019)
Multiobjective immune algorithm with nondominated neighbor-based selection
Maoguo Gong;Licheng Jiao;Haifeng Du;Liefeng Bo.
Evolutionary Computation (2008)
Moea/d with adaptive weight adjustment
Yutao Qi;Xiaoliang Ma;Fang Liu;Licheng Jiao.
Evolutionary Computation (2014)
A multiagent genetic algorithm for global numerical optimization
Weicai Zhong;Jing Liu;Mingzhi Xue;Licheng Jiao.
systems man and cybernetics (2004)
Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks
Maoguo Gong;Jiaojiao Zhao;Jia Liu;Qiguang Miao.
IEEE Transactions on Neural Networks (2016)
Adaptive NN Backstepping Output-Feedback Control for Stochastic Nonlinear Strict-Feedback Systems With Time-Varying Delays
Weisheng Chen;Licheng Jiao;Jing Li;Ruihong Li.
systems man and cybernetics (2010)
Two_Arch2: An Improved Two-Archive Algorithm for Many-Objective Optimization
Handing Wang;Licheng Jiao;Xin Yao.
IEEE Transactions on Evolutionary Computation (2015)
A Novel Coarse-to-Fine Scheme for Automatic Image Registration Based on SIFT and Mutual Information
Maoguo Gong;Shengmeng Zhao;Licheng Jiao;Dayong Tian.
IEEE Transactions on Geoscience and Remote Sensing (2014)
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