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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j43]Qingzheng Chen, Qing Tao
, Muchao Zhang, Luyao Ma:
CNN-based gesture recognition using raw numerical gray-scale images of surface electromyography. Biomed. Signal Process. Control. 101: 107176 (2025)- 2024
- [j42]Jianbo Zhang, Liang Yuan, Teng Ran, Song Peng, Qing Tao, Wendong Xiao, Jianping Cui:
A dynamic detection and data association method based on probabilistic models for visual SLAM. Displays 82: 102663 (2024) - [j41]Huanqing Zhang, Jun Xie, Yi Xiao, Guiling Cui, Xinyu Zhu, Guanghua Xu, Qing Tao, Yuzhe Yang, Zhiyuan Ren, Min Li:
The effects of synchronous and asynchronous steady-state auditory-visual motion on EEG characteristics in healthy young adults. Expert Syst. Appl. 241: 122640 (2024) - [j40]Hai Wang, Qing Tao, Xiaodong Zhang:
Ensemble Learning Method for the Continuous Decoding of Hand Joint Angles. Sensors 24(2): 660 (2024) - 2023
- [j39]Luyao Ma, Qing Tao, Qingzheng Chen, Zirui Zhao:
An Improved Feature Extraction Method for Surface Electromyography Based on Muscle Activity Regions. IEEE Access 11: 68410-68420 (2023) - [j38]Jingxuan Liu, Qing Tao, Bin Wu:
Dynamic Muscle Fatigue State Recognition Based on Deep Learning Fusion Model. IEEE Access 11: 95079-95091 (2023) - [j37]Can Chen, Meng Chen, Qing Tao, Su Hu, Chunhong Hu:
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 23(1): 99 (2023) - [c25]Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao:
Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation. AAAI 2023: 7193-7201 - [c24]Wang Hai, Qing Tao:
Deep Forest Model Combined with Neural Networks for Finger Joint Continuous Angle Decoding. ICIRA (6) 2023: 541-557 - [c23]Yonglin Han, Qing Tao:
A fine sensing method of lower limb movement electromyography based on sparrow search algorithm optimised support vector machine*. ROBIO 2023: 1-6 - [i4]Wei Tao, Lei Bao, Sheng Long, Gaowei Wu, Qing Tao:
Adapting Step-size: A Unified Perspective to Analyze and Improve Gradient-based Methods for Adversarial Attacks. CoRR abs/2301.11546 (2023) - 2022
- [j36]Hai Wang, Qing Tao, Na Su, Xiaodong Zhang:
Simultaneous Estimation of Hand Joints' Angles Toward sEMG-Driven Human-Robot Interaction. IEEE Access 10: 109385-109394 (2022) - [j35]Xiaodong Zhang, Zhufeng Lu, Chen Fan, Yachun Wang, Teng Zhang, Hanzhe Li, Qing Tao:
Compound motion decoding based on sEMG consisting of gestures, wrist angles, and strength. Frontiers Neurorobotics 16 (2022) - [j34]Fang Liu, Qing Tao, Dechang Yang, Denis N. Sidorov:
Bidirectional Gated Recurrent Unit-Based Lower Upper Bound Estimation Method for Wind Power Interval Prediction. IEEE Trans. Artif. Intell. 3(3): 461-469 (2022) - [j33]Wei Tao, Gao-wei Wu, Qing Tao:
Momentum Acceleration in the Individual Convergence of Nonsmooth Convex Optimization With Constraints. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1107-1118 (2022) - 2021
- [j32]Jianbo Zhang, Liang Yuan, Teng Ran, Qing Tao, Li He:
Bayesian Nonparametric Object Association for Semantic SLAM. IEEE Robotics Autom. Lett. 6(3): 5493-5500 (2021) - [c22]Wei Tao, Wei Li, Zhisong Pan, Qing Tao:
Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization. AAAI 2021: 9843-9850 - [c21]Wei Tao, Sheng Long, Gaowei Wu, Qing Tao:
The Role of Momentum Parameters in the Optimal Convergence of Adaptive Polyak's Heavy-ball Methods. ICLR 2021 - [i3]Wei Tao, Sheng Long, Gaowei Wu, Qing Tao:
The Role of Momentum Parameters in the Optimal Convergence of Adaptive Polyak's Heavy-ball Methods. CoRR abs/2102.07314 (2021) - 2020
- [j31]Pan Xiao, Qingchun Hu, Qing Tao, Long-jun Dong, Zhanfeng Yang, Weibin Zhang:
Acoustic Emission Location Method for Quasi-Cylindrical Structure With Complex Hole. IEEE Access 8: 35263-35275 (2020) - [j30]Wenjie Wang, Qing Tao, Yuting Cao, Xiaohua Wang, Xu Zhang:
Robot Time-Optimal Trajectory Planning Based on Improved Cuckoo Search Algorithm. IEEE Access 8: 86923-86933 (2020) - [j29]Wei Tao, Zhisong Pan, Gaowei Wu, Qing Tao:
Primal Averaging: A New Gradient Evaluation Step to Attain the Optimal Individual Convergence. IEEE Trans. Cybern. 50(2): 835-845 (2020) - [j28]Wei Tao, Zhisong Pan, Gaowei Wu, Qing Tao:
The Strength of Nesterov's Extrapolation in the Individual Convergence of Nonsmooth Optimization. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2557-2568 (2020) - [c20]Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao:
Semismooth Newton Algorithm for Efficient Projections onto ℓ1, ∞-norm Ball. ICML 2020: 1974-1983 - [i2]Wei Tao, Zhisong Pan, Gaowei Wu, Qing Tao:
The Strength of Nesterov's Extrapolation in the Individual Convergence of Nonsmooth Optimization. CoRR abs/2006.04340 (2020) - [i1]Wei Tao, Wei Li, Zhisong Pan, Qing Tao:
Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization. CoRR abs/2012.14558 (2020)
2010 – 2019
- 2019
- [j27]Qing Tao, Fang Liu, Yong Li, Denis N. Sidorov:
Air Pollution Forecasting Using a Deep Learning Model Based on 1D Convnets and Bidirectional GRU. IEEE Access 7: 76690-76698 (2019) - [j26]Haimin Yang, Zhisong Pan, Qing Tao:
Online Learning for Time Series Prediction of AR Model with Missing Data. Neural Process. Lett. 50(3): 2247-2263 (2019) - [c19]Qing Tao, Fang Liu, Denis N. Sidorov:
Recurrent Neural Networks Application to Forecasting with Two Cases: Load and Pollution. ICO 2019: 369-378 - [c18]Qing Tao, Zhaobo Li, Lili Liu, Shoudong Wang, Kaituo Zhang, Jiaze Ren, Jinsheng Kang:
Upper limb muscle strength prediction based on motion capture and sEMG data. ICAC 2019: 1-5 - 2018
- [j25]Haimin Yang, Zhisong Pan, Qing Tao, Junyang Qiu:
Online learning for vector autoregressive moving-average time series prediction. Neurocomputing 315: 9-17 (2018) - [j24]Qing Tao, Gao-wei Wu, Dejun Chu:
Improving Sparsity and Scalability in Regularized Nonconvex Truncated-Loss Learning Problems. IEEE Trans. Neural Networks Learn. Syst. 29(7): 2782-2793 (2018) - [j23]Dejun Chu, Rui Lu, Jin Li, Xintong Yu, Changshui Zhang, Qing Tao:
Optimizing Top-k Multiclass SVM via Semismooth Newton Algorithm. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6264-6275 (2018) - [c17]Qing Tao, Zhao-bo Li, Jinsheng Kang:
Evaluation of human upper limb motion comfort based on motion capture system. ICAC 2018: 1-6 - 2017
- [j22]Haimin Yang, Zhisong Pan, Qing Tao:
Robust and Adaptive Online Time Series Prediction with Long Short-Term Memory. Comput. Intell. Neurosci. 2017: 9478952:1-9478952:9 (2017) - [j21]Dejun Chu, Changshui Zhang, Qing Tao:
A faster cutting plane algorithm with accelerated line search for linear SVM. Pattern Recognit. 67: 127-138 (2017) - [c16]Wenlei Sun, Li Cao, Qing Tao, Jianxing Zhou:
The distribution and development of wind resources in China. ICAC 2017: 1-7 - [c15]Qing Tao, Jinsheng Kang, Wenlei Sun, Shoudong Wang, Zhao-bo Li:
Analysis of the sitting posture comfort based on motion capture system and JACK software. ICAC 2017: 1-7 - 2015
- [c14]Wenlei Sun, Li Cao, Qing Tao, Yuanhua Tan:
The design and simulation of beam pumping unit. ICAC 2015: 1-4 - [c13]Qing Tao, Jianxing Zhou, Wenlei Sun, Jinsheng Kang:
Study on the inherent characteristics of planetary gear transmissions. ICAC 2015: 1-5 - 2014
- [j20]Qing Tao, Qian-Kun Gao, DeJjn Chu, Gao-wei Wu:
Stochastic Learning via Optimizing the Variational Inequalities. IEEE Trans. Neural Networks Learn. Syst. 25(10): 1769-1778 (2014) - [c12]Wenlei Sun, Qing Tao, Jinsheng Kang, Xiaoqiu Zhuang:
The development of large-scale wind turbine blade redesign system. ICAC 2014: 218-221 - [c11]Qing Tao, Jianxing Zhou, Wenlei Sun, Jinsheng Kang:
The low-noise optimisation method for gearbox in consideration of operating conditions. ICAC 2014: 222-227 - 2013
- [c10]Wenlei Sun, Qing Tao, Jinsheng Kang, Zhuang Xiao Qiu:
Establishing large-scale wind turbine blade CAD model based on reverse engineering. ICAC 2013: 1-4 - [c9]Qing Tao, Jinsheng Kang, Stephan Orphanides, Jie Hong, Wenlei Sun:
Application of JACK on evaluation of a split seat chair. ICAC 2013: 1-6 - 2012
- [j19]Qing Tao, Zhengya Sun, Kang Kong:
Developing Learning Algorithms via Optimized Discretization of Continuous Dynamical Systems. IEEE Trans. Syst. Man Cybern. Part B 42(1): 140-149 (2012) - [c8]Qing Tao, Kang Kong, Dejun Chu, Gao-wei Wu:
Stochastic Coordinate Descent Methods for Regularized Smooth and Nonsmooth Losses. ECML/PKDD (1) 2012: 537-552 - 2010
- [c7]Kuijun Ma, Qing Tao, Jue Wang:
Nonlinear Blind Source Separation Using Slow Feature Analysis with Random Features. ICPR 2010: 830-833 - [c6]Yanjun Han, Qing Tao, Jue Wang:
Avoiding False Positive in Multi-Instance Learning. NIPS 2010: 811-819
2000 – 2009
- 2009
- [c5]Zhengya Sun, Tao Qin, Qing Tao, Jue Wang:
Robust sparse rank learning for non-smooth ranking measures. SIGIR 2009: 259-266 - 2008
- [j18]Jue Wang, Qing Tao:
Machine Learning: The State of the Art. IEEE Intell. Syst. 23(6): 49-55 (2008) - [j17]Qing Tao, Gao-wei Wu, Jue Wang:
A general soft method for learning SVM classifiers with L1-norm penalty. Pattern Recognit. 41(3): 939-948 (2008) - [j16]Qing Tao, Dejun Chu, Jue Wang:
Recursive Support Vector Machines for Dimensionality Reduction. IEEE Trans. Neural Networks 19(1): 189-193 (2008) - 2007
- [j15]Fengxi Song, David Zhang, Jizhong Wang, Hang Liu, Qing Tao:
A parameterized direct LDA and its application to face recognition. Neurocomputing 71(1-3): 191-196 (2007) - [j14]Qing Tao, Gao-wei Wu, Jue Wang:
Learning linear PCA with convex semi-definite programming. Pattern Recognit. 40(10): 2633-2640 (2007) - [c4]Fen Xia, Qing Tao, Jue Wang, Wensheng Zhang:
Recursive Feature Extraction for Ordinal Regression. IJCNN 2007: 78-83 - 2006
- [j13]Qing Tao, Gao-wei Wu, Jue Wang:
The theoretical analysis of FDA and applications. Pattern Recognit. 39(6): 1199-1204 (2006) - [c3]Qing Tao, Gao-wei Wu, Jue Wang:
One-Class Strategies for Security Information Detection. WISI 2006: 171-172 - 2005
- [j12]Qing Tao, Xin Liu, Xunxue Cui:
A linear optimization neural network for associative memory. Appl. Math. Comput. 171(2): 1119-1128 (2005) - [j11]Qing Tao, Gao-wei Wu, Jue Wang:
A new maximum margin algorithm for one-class problems and its boosting implementation. Pattern Recognit. 38(7): 1071-1077 (2005) - [j10]Qing Tao, Gao-wei Wu, Fei-Yue Wang, Jue Wang:
Posterior probability support vector Machines for unbalanced data. IEEE Trans. Neural Networks 16(6): 1561-1573 (2005) - [c2]Qing Tao, Gao-wei Wu, Fei-Yue Wang, Jue Wang:
Some Marginal Learning Algorithms for Unsupervised Problems. ISI 2005: 395-401 - [c1]Xunxue Cui, Zhan Zhao, Qing Tao:
Probabilistic Behavior of Sensor Network Localization. ISPA Workshops 2005: 444-453 - 2004
- [j9]Qing Tao, Xin Liu, Meisheng Xue:
A dynamic genetic algorithm based on continuous neural networks for a kind of non-convex optimization problems. Appl. Math. Comput. 150(3): 811-820 (2004) - [j8]Qing Tao, Jue Wang:
A New Fuzzy Support Vector Machine Based on the Weighted Margin. Neural Process. Lett. 20(3): 139-150 (2004) - [j7]Qing Tao, Gao-wei Wu, Jue Wang:
A generalized S-K algorithm for learning v-SVM classifiers. Pattern Recognit. Lett. 25(10): 1165-1171 (2004) - 2002
- [j6]Qing Tao, Jinde Cao, Xin Liu:
The BSB neural network in the convex body spanned by the prototype patterns for associative memory. Appl. Math. Comput. 132(2-3): 575-587 (2002) - [j5]Jiaqi Wang, Qing Tao, Jue Wang:
Kernel Projection Algorithm for Large-Scale SVM Problems. J. Comput. Sci. Technol. 17(5): 556-564 (2002) - 2001
- [j4]Qing Tao, Jinde Cao, Demin Sun:
A simple and high performance neural network for quadratic programming problems. Appl. Math. Comput. 124(2): 251-260 (2001) - [j3]Jinde Cao, Qing Tao:
Estimation on Domain of Attraction and Convergence Rate of Hopfield Continuous Feedback Neural Networks. J. Comput. Syst. Sci. 62(3): 528-534 (2001) - [j2]Qing Tao, Tingjian Fang, Hong Qiao:
A novel continuous-time neural network for realizing associative memory. IEEE Trans. Neural Networks 12(2): 418-423 (2001) - 2000
- [j1]Jinde Cao, Qing Tao:
Estimation of the Domain of Attraction and the Convergence Rate of a Hopfield Associative Memory and an Application. J. Comput. Syst. Sci. 60(1): 179-186 (2000)
Coauthor Index
aka: Gao-wei Wu
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