Ke Chen
Orcid: 0000-0003-0928-5199Affiliations:
- South China University of Technology, School of Electronic and Information Engineering, Guangzhou, China
- Tampere University of Technology, Finland
- Queen Mary University of London, UK (PhD 2013)
- Sun Yat-Sen University, Guangzhou, China (former)
According to our database1,
Ke Chen
authored at least 93 papers
between 2007 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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Bibliography
2025
Pattern Recognit., 2025
2024
Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D Transformers.
CoRR, 2024
Proceedings of the Computational Visual Media - 12th International Conference, 2024
2023
ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States.
CoRR, 2023
Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Multim., 2022
Convolutional Fine-Grained Classification With Self-Supervised Target Relation Regularization.
IEEE Trans. Image Process., 2022
Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors.
IEEE Trans. Cybern., 2022
Soft pseudo-Label shrinkage for unsupervised domain adaptive person re-identification.
Pattern Recognit., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation Using Structurally Regularized Deep Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Data-Driven Oracle Bone Rejoining: A Dataset and Practical Self-Supervised Learning Scheme.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap.
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
New Noise-Tolerant Neural Algorithms for Future Dynamic Nonlinear Optimization With Estimation on Hessian Matrix Inversion.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object Point Clouds.
CoRR, 2021
CoRR, 2021
Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
On the investigation of activation functions in gradient neural network for online solving linear matrix equation.
Neurocomputing, 2020
CoRR, 2020
CoRR, 2020
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
J. Signal Process. Syst., 2019
Pattern Recognit. Lett., 2019
Pattern Recognit., 2019
A new noise-tolerant and predefined-time ZNN model for time-dependent matrix inversion.
Neural Networks, 2019
Inf. Process. Lett., 2019
CoRR, 2019
Robustness Analysis and Robotic Application of Combined Function Activated RNN for Time-Varying Matrix Pseudo Inversion.
IEEE Access, 2019
Fast Fourier Color Constancy and Grayness Index for ISPA Illumination Estimation Challenge.
Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
2018
IEEE Trans. Intell. Transp. Syst., 2018
IEEE Trans. Cybern., 2018
Nonlinear recurrent neural networks for finite-time solution of general time-varying linear matrix equations.
Neural Networks, 2018
Cogn. Comput., 2018
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018
CNN and PCA Based Visual System of A Wheelchair Manipulator Robot for Automatic Drinking.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018
2017
IEEE Trans. Syst. Man Cybern. Syst., 2017
IEEE Trans. Instrum. Meas., 2017
Learning to Classify Fine-Grained Categories with Privileged Visual-Semantic Misalignment.
IEEE Trans. Big Data, 2017
Implicit Gradient Neural Networks with a Positive-Definite Mass Matrix for Online Linear Equations Solving.
CoRR, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
2016
IEEE Trans. Intell. Transp. Syst., 2016
Inf. Process. Lett., 2016
A parameter-free label propagation algorithm for person identification in stereo videos.
Neurocomputing, 2016
Robustness analysis of a hybrid of recursive neural dynamics for online matrix inversion.
Appl. Math. Comput., 2016
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2016
Proceedings of the Computer Vision - ACCV 2016, 2016
2015
Proceedings of the Image Analysis - 19th Scandinavian Conference, 2015
Proceedings of the Image Analysis - 19th Scandinavian Conference, 2015
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014
2013
PhD thesis, 2013
Superior robustness of using power-sigmoid activation functions in Z-type models for time-varying problems solving.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
Proceedings of the Modeling, Simulation and Visual Analysis of Crowds, 2013
2012
Proceedings of the British Machine Vision Conference, 2012
2011
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011
2009
Performance Analysis of Gradient Neural Network Exploited for Online Time-Varying Matrix Inversion.
IEEE Trans. Autom. Control., 2009
Repetitive motion of redundant robots planned by three kinds of recurrent neural networks and illustrated with a four-link planar manipulator's straight-line example.
Robotics Auton. Syst., 2009
MATLAB Simulink modeling and simulation of LVI-based primal-dual neural network for solving linear and quadratic programs.
Neurocomputing, 2009
Global exponential convergence and stability of gradient-based neural network for online matrix inversion.
Appl. Math. Comput., 2009
2008
MATLAB Simulation and Comparison of Zhang Neural Network and Gradient Neural Network for Time-Varying Lyapunov Equation Solving.
Proceedings of the Advances in Neural Networks, 2008
A simplified LVI-based primal-dual neural network for repetitive motion planning of PA10 robot manipulator starting from different initial states.
Proceedings of the International Joint Conference on Neural Networks, 2008
Zhang neural network without using time-derivative information for constant and time-varying matrix inversion.
Proceedings of the International Joint Conference on Neural Networks, 2008
Common Nature of Learning Exemplified by BP and Hopfield Neural Networks for Solving Online a System of Linear Equations.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008
MATLAB Simulink Modeling and Simulation of Zhang Neural Network for Online Time-Varying Matrix Inversion.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008
Simulink Modeling and Comparison of Zhang Neural Networks and Gradient Neural Networks for Time-Varying Lyapunov Equation Solving.
Proceedings of the Fourth International Conference on Natural Computation, 2008
Zhang Neural Network Versus Gradient Neural Network for Online Time-Varying Quadratic Function Minimization.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008
MATLAB Simulation and Comparison of Zhang Neural Network and Gradient Neural Network for Online Solution of Linear Time-Varying Matrix Equation AXB-C=0.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008
A weights-directly-determined simple neural network for nonlinear system identification.
Proceedings of the FUZZ-IEEE 2008, 2008
2007
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007