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Qing Tao
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2020 – today
- 2024
- [j41]Jianbo Zhang
, Liang Yuan, Teng Ran, Song Peng
A dynamic detection and data association method based on probabilistic models for visual SLAM. Displays 82: 102663 (2024) - [j40]Huanqing Zhang, Jun Xie
The effects of synchronous and asynchronous steady-state auditory-visual motion on EEG characteristics in healthy young adults. Expert Syst. Appl. 241: 122640 (2024) - [j39]Hai Wang
Ensemble Learning Method for the Continuous Decoding of Hand Joint Angles. Sensors 24(2): 660 (2024) - 2023
- [j38]Luyao Ma
An Improved Feature Extraction Method for Surface Electromyography Based on Muscle Activity Regions. IEEE Access 11: 68410-68420 (2023) - [j37]Jingxuan Liu
Dynamic Muscle Fatigue State Recognition Based on Deep Learning Fusion Model. IEEE Access 11: 95079-95091 (2023) - [j36]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
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
- [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
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
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
Bayesian Nonparametric Object Association for Semantic SLAM. IEEE Robotics Autom. Lett. 6(3): 5493-5500 (2021) - [c22]Wei Tao, Wei Li
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
Acoustic Emission Location Method for Quasi-Cylindrical Structure With Complex Hole. IEEE Access 8: 35263-35275 (2020) - [j30]Wenjie Wang
Robot Time-Optimal Trajectory Planning Based on Improved Cuckoo Search Algorithm. IEEE Access 8: 86923-86933 (2020) - [j29]Wei 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
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
Air Pollution Forecasting Using a Deep Learning Model Based on 1D Convnets and Bidirectional GRU. IEEE Access 7: 76690-76698 (2019) - [j26]Haimin Yang
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
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
Optimizing Top-k Multiclass SVM via Semismooth Newton Algorithm. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6264-6275 (2018) - [c17]Qing Tao
Evaluation of human upper limb motion comfort based on motion capture system. ICAC 2018: 1-6 - 2017
- [j22]Haimin Yang
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
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
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
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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last updated on 2024-10-07 22:09 CEST by the dblp team
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