2019 - IEEE Fellow For contributions to neural network control of nonlinear systems with applications to robotic manipulators
The scientist’s investigation covers issues in Control theory, Artificial intelligence, Control theory, Control system and Computer vision. His Control theory study combines topics in areas such as Control engineering and Artificial neural network. His biological study spans a wide range of topics, including Machine learning and Pattern recognition.
As part of one scientific family, Fuchun Sun deals mainly with the area of Control theory, narrowing it down to issues related to the Compensation, and often Aerodynamics, Angle of attack and Estimation theory. Fuchun Sun interconnects Neuro-fuzzy, Distributed computing and Cyber-physical system in the investigation of issues within Control system. He focuses mostly in the field of Computer vision, narrowing it down to topics relating to Visualization and, in certain cases, Configuration information and Kernel.
Fuchun Sun focuses on Artificial intelligence, Control theory, Computer vision, Pattern recognition and Robot. Fuchun Sun works mostly in the field of Artificial intelligence, limiting it down to concerns involving Machine learning and, occasionally, Classifier. His work in Control theory covers topics such as Fuzzy logic which are related to areas like Nonlinear system.
His Computer vision research is multidisciplinary, incorporating perspectives in Visualization and Tactile sensor. His Pattern recognition research includes themes of Contextual image classification, Feature and Robustness. His Robot research includes elements of Trajectory and Human–computer interaction.
Fuchun Sun spends much of his time researching Artificial intelligence, Robot, Computer vision, Machine learning and Human–computer interaction. His Artificial intelligence study frequently links to adjacent areas such as Pattern recognition. His research in Pattern recognition intersects with topics in Subspace topology and Feature.
His Robot study incorporates themes from Robustness, Control theory and Support vector machine. He combines subjects such as Convolutional neural network and Tactile sensor with his study of Computer vision. In general Machine learning, his work in Transfer of learning is often linked to Function linking many areas of study.
Fuchun Sun mainly focuses on Artificial intelligence, Machine learning, Pattern recognition, Computer vision and Human–computer interaction. In his works, Fuchun Sun conducts interdisciplinary research on Artificial intelligence and Modal. His Machine learning research incorporates elements of Modality and Relation.
The various areas that Fuchun Sun examines in his Pattern recognition study include Feature and Image. His work on Object, Object detection and Gesture as part of general Computer vision research is frequently linked to Accelerometer, thereby connecting diverse disciplines of science. The concepts of his Fuzzy logic study are interwoven with issues in Margin and Control system, Control theory.
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A Survey on Deep Transfer Learning
Chuanqi Tan;Fuchun Sun;Tao Kong;Wenchang Zhang.
international conference on artificial neural networks (2018)
HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection
Tao Kong;Anbang Yao;Yurong Chen;Fuchun Sun.
computer vision and pattern recognition (2016)
Evolutionary route planner for unmanned air vehicles
Changwen Zheng;Lei Li;Fanjiang Xu;Fuchun Sun.
IEEE Transactions on Robotics (2005)
Composite Neural Dynamic Surface Control of a Class of Uncertain Nonlinear Systems in Strict-Feedback Form
Bin Xu;Zhongke Shi;Chenguang Yang;Fuchun Sun.
IEEE Transactions on Systems, Man, and Cybernetics (2014)
RON: Reverse Connection with Objectness Prior Networks for Object Detection
Tao Kong;Fuchun Sun;Anbang Yao;Huaping Liu.
computer vision and pattern recognition (2017)
DYNAMIC SURFACE CONTROL OF CONSTRAINED HYPERSONIC FLIGHT MODELS WITH PARAMETER ESTIMATION AND ACTUATOR COMPENSATION
Bin Xu;Xiyuan Huang;Danwei Wang;Fuchun Sun.
Asian Journal of Control (2014)
FoveaBox: Beyond Anchor-based Object Detector
Tao Kong;Fuchun Sun;Huaping Liu;Yuning Jiang.
arXiv: Computer Vision and Pattern Recognition (2019)
FoveaBox: Beyound Anchor-Based Object Detection
Tao Kong;Fuchun Sun;Huaping Liu;Yuning Jiang.
IEEE Transactions on Image Processing (2020)
Visual–Tactile Fusion for Object Recognition
Huaping Liu;Yuanlong Yu;Fuchun Sun;Jason Gu.
IEEE Transactions on Automation Science and Engineering (2017)
Neural network-based adaptive controller design of robotic manipulators with an observer
Fuchun Sun;Zengqi Sun;Peng-Yung Woo.
IEEE Transactions on Neural Networks (2001)
Profile was last updated on December 6th, 2021.
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