What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Algorithm
His primary areas of study are Control theory, Synchronization, Artificial intelligence, Applied mathematics and Synchronization of chaos.
His study in Control theory is interdisciplinary in nature, drawing from both Artificial neural network and Chaotic.
His study explores the link between Chaotic and topics such as Order that cross with problems in Feedback control and Control.
The concepts of his Artificial intelligence study are interwoven with issues in Sequence and Pattern recognition.
His Feature extraction study in the realm of Pattern recognition connects with subjects such as Invariant.
His Applied mathematics study incorporates themes from Pitchfork bifurcation, Bifurcation diagram and Period-doubling bifurcation.
His most cited work include:
- Synchronization in general complex dynamical networks with coupling delays (526 citations)
- Chaos and hyperchaos in the fractional-order Rössler equations (522 citations)
- Chaos in the fractional order Chen system and its control (429 citations)
What are the main themes of his work throughout his whole career to date?
Chunguang Li mainly investigates Artificial intelligence, Pattern recognition, Control theory, Algorithm and Artificial neural network.
His work on Feature extraction, Cluster analysis and Sparse approximation is typically connected to Linear subspace as part of general Artificial intelligence study, connecting several disciplines of science.
His Pattern recognition research includes themes of Graph, Feature and Benchmark.
His study in the field of Control theory and Stability also crosses realms of Synchronization of chaos and Synchronization.
His work on Data point and Optimization problem as part of general Algorithm study is frequently linked to Hash function, bridging the gap between disciplines.
His Chaotic study integrates concerns from other disciplines, such as Statistical physics, Biological neuron model and Applied mathematics.
He most often published in these fields:
- Artificial intelligence (37.02%)
- Pattern recognition (20.99%)
- Control theory (21.55%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (37.02%)
- Algorithm (15.47%)
- Pattern recognition (20.99%)
In recent papers he was focusing on the following fields of study:
Artificial intelligence, Algorithm, Pattern recognition, Wireless sensor network and Robustness are his primary areas of study.
Chunguang Li performs integrative Artificial intelligence and Linear subspace research in his work.
In the field of Algorithm, his study on Data point and Optimization problem overlaps with subjects such as Hash function.
His research integrates issues of Synthetic data and Cluster analysis in his study of Data point.
His work on Discriminative model and Feature extraction as part of general Pattern recognition study is frequently linked to Spectral bands, therefore connecting diverse disciplines of science.
His Robustness research incorporates elements of Variational Bayesian methods and Bayesian inference.
Between 2018 and 2021, his most popular works were:
- Self-Supervised Convolutional Subspace Clustering Network (35 citations)
- Learn to Sense: A Meta-Learning-Based Sensing and Fusion Framework for Wireless Sensor Networks (11 citations)
- Stochastic Sparse Subspace Clustering (7 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Algorithm
Chunguang Li focuses on Artificial intelligence, Pattern recognition, Feature extraction, Categorization and Image.
His multidisciplinary approach integrates Artificial intelligence and Linear subspace in his work.
His work in Pattern recognition addresses subjects such as Benchmark, which are connected to disciplines such as Smoothing, Overfitting, Artificial neural network and Embedding.
His Feature extraction study combines topics in areas such as Wireless sensor network, Real-time computing, Fusion and Robustness.
His Categorization research integrates issues from Annotation, Text recognition, Joint and Pattern recognition.
Chunguang Li combines subjects such as Semantics, Adaptation, Representation and Natural language processing with his study of Image.
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