Qing Tao
Orcid: 0000-0001-5798-6526
According to our database1,
Qing Tao
authored at least 71 papers
between 2000 and 2025.
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Bibliography
2025
A new prediction strategy for dynamic multi-objective optimization using hybrid Fuzzy C-Means and support vector machine.
Neurocomputing, 2025
CNN-based gesture recognition using raw numerical gray-scale images of surface electromyography.
Biomed. Signal Process. Control., 2025
2024
Sensors, January, 2024
The effects of synchronous and asynchronous steady-state auditory-visual motion on EEG characteristics in healthy young adults.
Expert Syst. Appl., 2024
A dynamic detection and data association method based on probabilistic models for visual SLAM.
Displays, 2024
AAC-WGAN: A Novel Attention-Enhanced GAN Framework for SSVEP Augmentation and Classification.
IEEE Access, 2024
2023
Non-contrast CT-based radiomics nomogram of pericoronary adipose tissue for predicting haemodynamically significant coronary stenosis in patients with type 2 diabetes.
BMC Medical Imaging, December, 2023
Adapting Step-size: A Unified Perspective to Analyze and Improve Gradient-based Methods for Adversarial Attacks.
CoRR, 2023
An Improved Feature Extraction Method for Surface Electromyography Based on Muscle Activity Regions.
IEEE Access, 2023
IEEE Access, 2023
A fine sensing method of lower limb movement electromyography based on sparrow search algorithm optimised support vector machine<sup>*</sup>.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023
Deep Forest Model Combined with Neural Networks for Finger Joint Continuous Angle Decoding.
Proceedings of the Intelligent Robotics and Applications - 16th International Conference, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Compound motion decoding based on sEMG consisting of gestures, wrist angles, and strength.
Frontiers Neurorobotics, September, 2022
Momentum Acceleration in the Individual Convergence of Nonsmooth Convex Optimization With Constraints.
IEEE Trans. Neural Networks Learn. Syst., 2022
Bidirectional Gated Recurrent Unit-Based Lower Upper Bound Estimation Method for Wind Power Interval Prediction.
IEEE Trans. Artif. Intell., 2022
Simultaneous Estimation of Hand Joints' Angles Toward sEMG-Driven Human-Robot Interaction.
IEEE Access, 2022
2021
IEEE Robotics Autom. Lett., 2021
The Role of Momentum Parameters in the Optimal Convergence of Adaptive Polyak's Heavy-ball Methods.
Proceedings of the 9th International Conference on Learning Representations, 2021
Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
The Strength of Nesterov's Extrapolation in the Individual Convergence of Nonsmooth Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2020
Primal Averaging: A New Gradient Evaluation Step to Attain the Optimal Individual Convergence.
IEEE Trans. Cybern., 2020
IEEE Access, 2020
IEEE Access, 2020
Semismooth Newton Algorithm for Efficient Projections onto ℓ<sub>1, ∞</sub>-norm Ball.
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Neural Process. Lett., 2019
Air Pollution Forecasting Using a Deep Learning Model Based on 1D Convnets and Bidirectional GRU.
IEEE Access, 2019
Proceedings of the 25th International Conference on Automation and Computing, 2019
Recurrent Neural Networks Application to Forecasting with Two Cases: Load and Pollution.
ICO, 2019
2018
Improving Sparsity and Scalability in Regularized Nonconvex Truncated-Loss Learning Problems.
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Neurocomputing, 2018
Proceedings of the 24th International Conference on Automation and Computing, 2018
2017
Pattern Recognit., 2017
Comput. Intell. Neurosci., 2017
Analysis of the sitting posture comfort based on motion capture system and JACK software.
Proceedings of the 23rd International Conference on Automation and Computing, 2017
Proceedings of the 23rd International Conference on Automation and Computing, 2017
2015
Proceedings of the 21st International Conference on Automation and Computing, 2015
Proceedings of the 21st International Conference on Automation and Computing, 2015
2014
IEEE Trans. Neural Networks Learn. Syst., 2014
The low-noise optimisation method for gearbox in consideration of operating conditions.
Proceedings of the 20th International Conference on Automation and Computing, 2014
Proceedings of the 20th International Conference on Automation and Computing, 2014
2013
Proceedings of the 2013 19th International Conference on Automation and Computing, 2013
Proceedings of the 2013 19th International Conference on Automation and Computing, 2013
2012
Developing Learning Algorithms via Optimized Discretization of Continuous Dynamical Systems.
IEEE Trans. Syst. Man Cybern. Part B, 2012
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
2009
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009
2008
IEEE Trans. Neural Networks, 2008
Pattern Recognit., 2008
2007
Neurocomputing, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
2006
Proceedings of the Intelligence and Security Informatics, International Workshop, 2006
2005
IEEE Trans. Neural Networks, 2005
A new maximum margin algorithm for one-class problems and its boosting implementation.
Pattern Recognit., 2005
Appl. Math. Comput., 2005
Proceedings of the Parallel and Distributed Processing and Applications, 2005
Proceedings of the Intelligence and Security Informatics, 2005
2004
Pattern Recognit. Lett., 2004
Neural Process. Lett., 2004
A dynamic genetic algorithm based on continuous neural networks for a kind of non-convex optimization problems.
Appl. Math. Comput., 2004
2002
J. Comput. Sci. Technol., 2002
The BSB neural network in the convex body spanned by the prototype patterns for associative memory.
Appl. Math. Comput., 2002
2001
IEEE Trans. Neural Networks, 2001
Estimation on Domain of Attraction and Convergence Rate of Hopfield Continuous Feedback Neural Networks.
J. Comput. Syst. Sci., 2001
Appl. Math. Comput., 2001
2000
Estimation of the Domain of Attraction and the Convergence Rate of a Hopfield Associative Memory and an Application.
J. Comput. Syst. Sci., 2000