Estimation of the Domain of Attraction and the Convergence Rate of a Hopfield Associative Memory and an Application. - Jinde Cao; Qing Tao (J. Comput. Syst. Sci., 2000)

A simple and high performance neural network for quadratic programming problems. - Qing Tao; Jinde Cao; Demin Sun (Appl. Math. Comput., 2001)

Estimation on Domain of Attraction and Convergence Rate of Hopfield Continuous Feedback Neural Networks. - Jinde Cao; Qing Tao (J. Comput. Syst. Sci., 2001)

A novel continuous-time neural network for realizing associative memory. - Qing Tao; Tingjian Fang; Hong Qiao (IEEE Trans. Neural Networks, 2001)

The BSB neural network in the convex body spanned by the prototype patterns for associative memory. - Qing Tao; Jinde Cao; Xin Liu (Appl. Math. Comput., 2002)

Kernel Projection Algorithm for Large-Scale SVM Problems. - Jiaqi Wang; Qing Tao; Jue Wang 004 (J. Comput. Sci. Technol., 2002)

A dynamic genetic algorithm based on continuous neural networks for a kind of non-convex optimization problems. - Qing Tao; Xin Liu; Meisheng Xue (Appl. Math. Comput., 2004)

A New Fuzzy Support Vector Machine Based on the Weighted Margin. - Qing Tao; Jue Wang 004 (Neural Process. Lett., 2004)

A generalized S-K algorithm for learning v-SVM classifiers. - Qing Tao; Gao-wei Wu; Jue Wang 004 (Pattern Recognit. Lett., 2004)

Some Marginal Learning Algorithms for Unsupervised Problems. - Qing Tao; Gao-wei Wu; Fei-Yue Wang 001; Jue Wang 004 (ISI, 2005)

Probabilistic Behavior of Sensor Network Localization. - Xunxue Cui; Zhan Zhao; Qing Tao (ISPA Workshops, 2005)

A linear optimization neural network for associative memory. - Qing Tao; Xin Liu; Xunxue Cui (Appl. Math. Comput., 2005)

A new maximum margin algorithm for one-class problems and its boosting implementation. - Qing Tao; Gao-wei Wu; Jue Wang 004 (Pattern Recognit., 2005)

Posterior probability support vector Machines for unbalanced data. - Qing Tao; Gao-wei Wu; Fei-Yue Wang 001; Jue Wang 004 (IEEE Trans. Neural Networks, 2005)

One-Class Strategies for Security Information Detection. - Qing Tao; Gao-wei Wu; Jue Wang 004 (WISI, 2006)

The theoretical analysis of FDA and applications. - Qing Tao; Gao-wei Wu; Jue Wang 004 (Pattern Recognit., 2006)

Recursive Feature Extraction for Ordinal Regression. - Fen Xia; Qing Tao; Jue Wang 004; Wensheng Zhang 002 (IJCNN, 2007)

A parameterized direct LDA and its application to face recognition. - Fengxi Song; David Zhang 001; Jizhong Wang; Hang Liu; Qing Tao (Neurocomputing, 2007)

Learning linear PCA with convex semi-definite programming. - Qing Tao; Gao-wei Wu; Jue Wang 004 (Pattern Recognit., 2007)

Machine Learning: The State of the Art. - Jue Wang 004; Qing Tao (IEEE Intell. Syst., 2008)

A general soft method for learning SVM classifiers with L1-norm penalty. - Qing Tao; Gao-wei Wu; Jue Wang 004 (Pattern Recognit., 2008)

Recursive Support Vector Machines for Dimensionality Reduction. - Qing Tao; Dejun Chu; Jue Wang (IEEE Trans. Neural Networks, 2008)

Robust sparse rank learning for non-smooth ranking measures. - Zhengya Sun; Tao Qin; Qing Tao; Jue Wang 004 (SIGIR, 2009)

Nonlinear Blind Source Separation Using Slow Feature Analysis with Random Features. - Kuijun Ma; Qing Tao; Jue Wang 004 (ICPR, 2010)

Avoiding False Positive in Multi-Instance Learning. - Yanjun Han; Qing Tao; Jue Wang 004 (NIPS, 2010)

Stochastic Coordinate Descent Methods for Regularized Smooth and Nonsmooth Losses. - Qing Tao; Kang Kong; Dejun Chu; Gao-wei Wu (ECML/PKDD (1), 2012)

Developing Learning Algorithms via Optimized Discretization of Continuous Dynamical Systems. - Qing Tao; Zhengya Sun; Kang Kong (IEEE Trans. Syst. Man Cybern. Part B, 2012)

Establishing large-scale wind turbine blade CAD model based on reverse engineering. - Wenlei Sun; Qing Tao; Jinsheng Kang; Zhuang Xiao Qiu (ICAC, 2013)

Application of JACK on evaluation of a split seat chair. - Qing Tao; Jinsheng Kang; Stephan Orphanides; Jie Hong; Wenlei Sun (ICAC, 2013)

The development of large-scale wind turbine blade redesign system. - Wenlei Sun; Qing Tao; Jinsheng Kang; Xiaoqiu Zhuang (ICAC, 2014)

The low-noise optimisation method for gearbox in consideration of operating conditions. - Qing Tao; Jianxing Zhou; Wenlei Sun; Jinsheng Kang (ICAC, 2014)

Stochastic Learning via Optimizing the Variational Inequalities. - Qing Tao; Qian-Kun Gao; DeJjn Chu; Gao-wei Wu (IEEE Trans. Neural Networks Learn. Syst., 2014)

The design and simulation of beam pumping unit. - Wenlei Sun; Li Cao; Qing Tao; Yuanhua Tan (ICAC, 2015)

Study on the inherent characteristics of planetary gear transmissions. - Qing Tao; Jianxing Zhou; Wenlei Sun; Jinsheng Kang (ICAC, 2015)

The distribution and development of wind resources in China. - Wenlei Sun; Li Cao; Qing Tao; Jianxing Zhou (ICAC, 2017)

Analysis of the sitting posture comfort based on motion capture system and JACK software. - Qing Tao; Jinsheng Kang; Wenlei Sun; Shoudong Wang; Zhao-bo Li (ICAC, 2017)

Robust and Adaptive Online Time Series Prediction with Long Short-Term Memory. - Haimin Yang; Zhisong Pan; Qing Tao (Comput. Intell. Neurosci., 2017)

A faster cutting plane algorithm with accelerated line search for linear SVM. - Dejun Chu; Changshui Zhang; Qing Tao (Pattern Recognit., 2017)

Evaluation of human upper limb motion comfort based on motion capture system. - Qing Tao; Zhao-bo Li; Jinsheng Kang (ICAC, 2018)

Online learning for vector autoregressive moving-average time series prediction. - Haimin Yang; Zhisong Pan; Qing Tao; Junyang Qiu (Neurocomputing, 2018)

Optimizing Top-k Multiclass SVM via Semismooth Newton Algorithm. - Dejun Chu; Rui Lu; Jin Li 020; Xintong Yu; Changshui Zhang; Qing Tao (IEEE Trans. Neural Networks Learn. Syst., 2018)

Improving Sparsity and Scalability in Regularized Nonconvex Truncated-Loss Learning Problems. - Qing Tao; Gao-wei Wu; Dejun Chu (IEEE Trans. Neural Networks Learn. Syst., 2018)

Recurrent Neural Networks Application to Forecasting with Two Cases: Load and Pollution. - Qing Tao; Fang Liu 014; Denis N. Sidorov (ICO, 2019)

Upper limb muscle strength prediction based on motion capture and sEMG data. - Qing Tao; Zhaobo Li; Lili Liu; Shoudong Wang; Kaituo Zhang; Jiaze Ren; Jinsheng Kang (ICAC, 2019)

Air Pollution Forecasting Using a Deep Learning Model Based on 1D Convnets and Bidirectional GRU. - Qing Tao; Fang Liu 014; Yong Li 016; Denis N. Sidorov (IEEE Access, 2019)

Online Learning for Time Series Prediction of AR Model with Missing Data. - Haimin Yang; Zhisong Pan; Qing Tao (Neural Process. Lett., 2019)

Semismooth Newton Algorithm for Efficient Projections onto ℓ1, ∞-norm Ball. - Dejun Chu; Changshui Zhang; Shiliang Sun; Qing Tao (ICML, 2020)

Robot Time-Optimal Trajectory Planning Based on Improved Cuckoo Search Algorithm. - Wenjie Wang 004; Qing Tao; Yuting Cao; Xiaohua Wang; Xu Zhang (IEEE Access, 2020)

Acoustic Emission Location Method for Quasi-Cylindrical Structure With Complex Hole. - Pan Xiao; Qingchun Hu; Qing Tao; Long-jun Dong; Zhanfeng Yang; Weibin Zhang (IEEE Access, 2020)

Primal Averaging: A New Gradient Evaluation Step to Attain the Optimal Individual Convergence. - Wei Tao 002; Zhisong Pan; Gaowei Wu; Qing Tao (IEEE Trans. Cybern., 2020)

The Strength of Nesterov's Extrapolation in the Individual Convergence of Nonsmooth Optimization. - Wei Tao 002; Zhisong Pan; Gaowei Wu; Qing Tao (IEEE Trans. Neural Networks Learn. Syst., 2020)

Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization. - Wei Tao 002; Wei Li 116; Zhisong Pan; Qing Tao (AAAI, 2021)

The Role of Momentum Parameters in the Optimal Convergence of Adaptive Polyak's Heavy-ball Methods. - Wei Tao 002; Sheng Long; Gaowei Wu; Qing Tao (ICLR, 2021)

Bayesian Nonparametric Object Association for Semantic SLAM. - Jianbo Zhang; Liang Yuan; Teng Ran; Qing Tao; Li He (IEEE Robotics Autom. Lett., 2021)

Simultaneous Estimation of Hand Joints' Angles Toward sEMG-Driven Human-Robot Interaction. - Hai Wang; Qing Tao; Na Su; Xiaodong Zhang (IEEE Access, 2022)

Bidirectional Gated Recurrent Unit-Based Lower Upper Bound Estimation Method for Wind Power Interval Prediction. - Fang Liu 014; Qing Tao; Dechang Yang; Denis N. Sidorov (IEEE Trans. Artif. Intell., 2022)

Momentum Acceleration in the Individual Convergence of Nonsmooth Convex Optimization With Constraints. - Wei Tao 002; Gao-wei Wu; Qing Tao (IEEE Trans. Neural Networks Learn. Syst., 2022)

Compound motion decoding based on sEMG consisting of gestures, wrist angles, and strength. - Xiaodong Zhang 023; Zhufeng Lu; Chen Fan; Yachun Wang; Teng Zhang; Hanzhe Li; Qing Tao (Frontiers Neurorobotics, 2022)

Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation. - Dejun Chu; Changshui Zhang; Shiliang Sun; Qing Tao (AAAI, 2023)

Deep Forest Model Combined with Neural Networks for Finger Joint Continuous Angle Decoding. - Wang Hai; Qing Tao (ICIRA (6), 2023)

A fine sensing method of lower limb movement electromyography based on sparrow search algorithm optimised support vector machine*. - Yonglin Han; Qing Tao (ROBIO, 2023)

Dynamic Muscle Fatigue State Recognition Based on Deep Learning Fusion Model. - Jingxuan Liu; Qing Tao; Bin Wu (IEEE Access, 2023)

An Improved Feature Extraction Method for Surface Electromyography Based on Muscle Activity Regions. - Luyao Ma; Qing Tao; Qingzheng Chen; Zirui Zhao (IEEE Access, 2023)

Adapting Step-size: A Unified Perspective to Analyze and Improve Gradient-based Methods for Adversarial Attacks. - Wei Tao 002; Lei Bao; Sheng Long; Gaowei Wu; Qing Tao (CoRR, 2023)

Non-contrast CT-based radiomics nomogram of pericoronary adipose tissue for predicting haemodynamically significant coronary stenosis in patients with type 2 diabetes. - Can Chen; Meng Chen; Qing Tao; Su Hu; Chunhong Hu (BMC Medical Imaging, 2023)

A Time-Sequence Decoding Network Based on Frequency Band Power Characteristics for Auditory Attention Decoding. - Huanqing Zhang; Jun Xie 002; Qing Tao; Zengle Ge; Yu Xiong; Min Li 003; Guanghua Xu (CBS, 2024)

Continuous Prediction of Hand Joint Angles Based on sEMG and Tf-LSTM. - Zhenning Yang; Qing Tao; Na Su (i-CREATe, 2024)

A Prediction Model of Continuous Lower Limb Motion Based on FOX Optimized LSTM. - Ziwei Zhao; Qing Tao (i-CREATe, 2024)

A Novel Hybrid Brain-Computer Interface Based on Integration of Steady-State Visual Stimulation and Rapid Serial Visual Presentation Paradigm. - Jun Xie; Huanqing Zhang; Qing Tao; Peng Fang; Junjie Liu; Zengle Ge; Yixuan Shao; Yuhang Ding (ROBIO, 2024)

AAC-WGAN: A Novel Attention-Enhanced GAN Framework for SSVEP Augmentation and Classification. - Junjie Liu; Jun Xie 002; Qing Tao; Huanqing Zhang; Hu Wang; Bo Hu (IEEE Access, 2024)

A dynamic detection and data association method based on probabilistic models for visual SLAM. - Jianbo Zhang; Liang Yuan; Teng Ran; Song Peng; Qing Tao; Wendong Xiao; Jianping Cui (Displays, 2024)

The effects of synchronous and asynchronous steady-state auditory-visual motion on EEG characteristics in healthy young adults. - Huanqing Zhang; Jun Xie 002; Yi Xiao; Guiling Cui; Xinyu Zhu; Guanghua Xu; Qing Tao; Yuzhe Yang 004; Zhiyuan Ren; Min Li 003 (Expert Syst. Appl., 2024)

Ensemble Learning Method for the Continuous Decoding of Hand Joint Angles. - Hai Wang; Qing Tao; Xiaodong Zhang (Sensors, 2024)

Lower Limb Movement Recognition Based on a Hybrid Deep Learning Model Using Surface Electromyography. - Yonglin Han; Qing Tao (IEEE Access, 2025)

CNN-based gesture recognition using raw numerical gray-scale images of surface electromyography. - Qingzheng Chen; Qing Tao; Muchao Zhang; Luyao Ma (Biomed. Signal Process. Control., 2025)

A real-time system for fall prediction and protection with spatio-temporal graph neural network using multiple motion sensors. - Li Liu 001; Haoyu Xie; Xiaohu Li; Guorui Liao; Shu Wang 005; Changbo Liao; Shengfa Miao; Haimiao Wu; Li He; Jun Liao 001; Qing Tao (Expert Syst. Appl., 2025)

A new prediction strategy for dynamic multi-objective optimization using hybrid Fuzzy C-Means and support vector machine. - Tao Zhang 120; Qing Tao; Linjun Yu; Haohao Yi; Jiawei Chen (Neurocomputing, 2025)

FGS-NeRF: A fast glossy surface reconstruction method based on voxel and reflection directions. - Han Hong; Qing Ye; Keyun Xiong; Qing Tao; Yiqian Wan (Image Vis. Comput., 2025)

A Novel Spatial Auditory Brain-Computer Interface Based on Low-Frequency Periodic Auditory Motion Stimulation Paradigm. - Huanqing Zhang; Jun Xie 002; Chenguang Zhao; Zhiwei Jin; Fangzhao Du; Yujie Chen; Guanghua Xu; Qing Tao; Min Li 003 (IEEE Trans. Biomed. Eng., 2025)