Qing Tao

50 papers A* 1B 2C 1Journal 36Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Identifying non-small cell lung cancer subtypes by a hybrid representative causal network with computed tomography images.
Eng. Appl. Artif. Intell.
Li Liu, Xueying Wang, Shanshan Huang, Zhengqiao Deng, Shu Wang, Guang Wu, Donglai Yang, Sixi Zha, Guoxin Su, Qing Tao
2026 J jnl
Measuring cognitive load by a score-based causal network model with multichannel physiological signals.
Neurocomputing
Li Liu, Qiwen Pang, Shanshan Huang, Laiming Jiang, Shu Wang, Guang Wu, Guoxin Su, Qing Tao
2026 J jnl
Predicting prostate cancer risks by a deep causal learning network from magnetic resonance imaging images.
Inf. Sci.
Li Liu, Shanshan Huang, Jiaxin Wu, Shu Wang, Shuang Qian, Lei Wang, Fayadh Alenezi, Xianping Zhang, Jun Liao, Kemal Polat, Qing Tao
2025 J jnl
A Novel Spatial Auditory Brain-Computer Interface Based on Low-Frequency Periodic Auditory Motion Stimulation Paradigm.
IEEE Trans. Biomed. Eng.
Huanqing Zhang, Jun Xie, Chenguang Zhao, Zhiwei Jin, Fangzhao Du, Yujie Chen, Guanghua Xu, Qing Tao, Min Li
2025 J jnl
A new prediction strategy for dynamic multi-objective optimization using hybrid Fuzzy C-Means and support vector machine.
Neurocomputing
Tao Zhang, Qing Tao, Linjun Yu, Haohao Yi, Jiawei Chen
2025 J jnl
A real-time system for fall prediction and protection with spatio-temporal graph neural network using multiple motion sensors.
Expert Syst. Appl.
Li Liu, Haoyu Xie, Xiaohu Li, Guorui Liao, Shu Wang, Changbo Liao, Shengfa Miao, Haimiao Wu, Li He, Jun Liao, Qing Tao
2025 J jnl
EMG-Based Dual-Branch Deep Learning Framework With Transfer Learning for Lower Limb Motion Classification and Joint Angle Estimation.
Concurr. Comput. Pract. Exp.
Yang Yang, Qing Tao, Shiji Li, Shijie Fan
2025 J jnl
FGS-NeRF: A fast glossy surface reconstruction method based on voxel and reflection directions.
Image Vis. Comput.
Han Hong, Qing Ye, Keyun Xiong, Qing Tao, Yiqian Wan
2025 J jnl
Optimizing the Adversarial Perturbation with a Momentum-based Adaptive Matrix.
CoRR
Wei Tao, Sheng Long, Xin Liu, Wei Li, Qing Tao
2024 — conf
A Novel Hybrid Brain-Computer Interface Based on Integration of Steady-State Visual Stimulation and Rapid Serial Visual Presentation Paradigm.
ROBIO
Jun Xie, Huanqing Zhang, Qing Tao, Peng Fang, Junjie Liu, Zengle Ge, Yixuan Shao, Yuhang Ding
2024 — conf
A Prediction Model of Continuous Lower Limb Motion Based on FOX Optimized LSTM.
i-CREATe
Ziwei Zhao, Qing Tao
2024 — conf
A Time-Sequence Decoding Network Based on Frequency Band Power Characteristics for Auditory Attention Decoding.
CBS
Huanqing Zhang, Jun Xie, Qing Tao, Zengle Ge, Yu Xiong, Min Li, Guanghua Xu
2024 J jnl
AAC-WGAN: A Novel Attention-Enhanced GAN Framework for SSVEP Augmentation and Classification.
IEEE Access
Junjie Liu, Jun Xie, Qing Tao, Huanqing Zhang, Hu Wang, Bo Hu
2024 — conf
Continuous Prediction of Hand Joint Angles Based on sEMG and Tf-LSTM.
i-CREATe
Zhenning Yang, Qing Tao, Na Su
2024 J jnl
The effects of synchronous and asynchronous steady-state auditory-visual motion on EEG characteristics in healthy young adults.
Expert Syst. Appl.
Huanqing Zhang, Jun Xie, Yi Xiao, Guiling Cui, Xinyu Zhu, Guanghua Xu, Qing Tao, Yuzhe Yang, Zhiyuan Ren, Min Li
2023 J jnl
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
Can Chen, Meng Chen, Qing Tao, Su Hu, Chunhong Hu
2020 J jnl
Acoustic Emission Location Method for Quasi-Cylindrical Structure With Complex Hole.
IEEE Access
Pan Xiao, Qingchun Hu, Qing Tao, Longjun Dong, Zhanfeng Yang, Weibin Zhang
2020 J jnl
Robot Time-Optimal Trajectory Planning Based on Improved Cuckoo Search Algorithm.
IEEE Access
Wenjie Wang, Qing Tao, Yuting Cao, Xiaohua Wang, Xu Zhang
2019 J jnl
Online Learning for Time Series Prediction of AR Model with Missing Data.
Neural Process. Lett.
Haimin Yang, Zhisong Pan, Qing Tao
2018 J jnl
Online learning for vector autoregressive moving-average time series prediction.
Neurocomputing
Haimin Yang, Zhisong Pan, Qing Tao, Junyang Qiu
2017 — conf
The distribution and development of wind resources in China.
ICAC
Wenlei Sun, Li Cao, Qing Tao, Jianxing Zhou
2015 — conf
The design and simulation of beam pumping unit.
ICAC
Wenlei Sun, Li Cao, Qing Tao, Yuanhua Tan
2014 J jnl
Stochastic Learning via Optimizing the Variational Inequalities.
IEEE Trans. Neural Networks Learn. Syst.
Qing Tao, Qian-Kun Gao, DeJjn Chu, Gao-wei Wu
2012 J jnl
Developing Learning Algorithms via Optimized Discretization of Continuous Dynamical Systems.
IEEE Trans. Syst. Man Cybern. Part B
Qing Tao, Zhengya Sun, Kang Kong
2012 — conf
Stochastic Coordinate Descent Methods for Regularized Smooth and Nonsmooth Losses.
ECML/PKDD (1)
Qing Tao, Kang Kong, Dejun Chu, Gao-wei Wu
2010 — conf
Avoiding False Positive in Multi-Instance Learning.
NIPS
Yanjun Han, Qing Tao, Jue Wang
2010 B conf
Nonlinear Blind Source Separation Using Slow Feature Analysis with Random Features.
ICPR
Kuijun Ma, Qing Tao, Jue Wang
2009 A* conf
Robust sparse rank learning for non-smooth ranking measures.
SIGIR
Zhengya Sun, Tao Qin, Qing Tao, Jue Wang
2008 J jnl
A general soft method for learning SVM classifiers with L
Pattern Recognit.
Qing Tao, Gao-wei Wu, Jue Wang
2008 J jnl
Machine Learning: The State of the Art.
IEEE Intell. Syst.
Jue Wang, Qing Tao
2008 J jnl
Recursive Support Vector Machines for Dimensionality Reduction.
IEEE Trans. Neural Networks
Qing Tao, Dejun Chu, Jue Wang
2007 J jnl
A parameterized direct LDA and its application to face recognition.
Neurocomputing
Fengxi Song, David Zhang, Jizhong Wang, Hang Liu, Qing Tao
2007 J jnl
Learning linear PCA with convex semi-definite programming.
Pattern Recognit.
Qing Tao, Gao-wei Wu, Jue Wang
2007 B conf
Recursive Feature Extraction for Ordinal Regression.
IJCNN
Fen Xia, Qing Tao, Jue Wang, Wensheng Zhang
2006 — conf
One-Class Strategies for Security Information Detection.
WISI
Qing Tao, Gao-wei Wu, Jue Wang
2006 J jnl
The theoretical analysis of FDA and applications.
Pattern Recognit.
Qing Tao, Gao-wei Wu, Jue Wang
2005 J jnl
A linear optimization neural network for associative memory.
Appl. Math. Comput.
Qing Tao, Xin Liu, Xunxue Cui
2005 J jnl
A new maximum margin algorithm for one-class problems and its boosting implementation.
Pattern Recognit.
Qing Tao, Gao-wei Wu, Jue Wang
2005 J jnl
Posterior probability support vector Machines for unbalanced data.
IEEE Trans. Neural Networks
Qing Tao, Gao-wei Wu, Fei-Yue Wang, Jue Wang
2005 — conf
Probabilistic Behavior of Sensor Network Localization.
ISPA Workshops
Xunxue Cui, Zhan Zhao, Qing Tao
2005 C conf
Some Marginal Learning Algorithms for Unsupervised Problems.
ISI
Qing Tao, Gao-wei Wu, Fei-Yue Wang, Jue Wang
2004 J jnl
A New Fuzzy Support Vector Machine Based on the Weighted Margin.
Neural Process. Lett.
Qing Tao, Jue Wang
2004 J jnl
A dynamic genetic algorithm based on continuous neural networks for a kind of non-convex optimization problems.
Appl. Math. Comput.
Qing Tao, Xin Liu, Meisheng Xue
2004 J jnl
A generalized S-K algorithm for learning v-SVM classifiers.
Pattern Recognit. Lett.
Qing Tao, Gao-wei Wu, Jue Wang
2002 J jnl
Kernel Projection Algorithm for Large-Scale SVM Problems.
J. Comput. Sci. Technol.
Jiaqi Wang, Qing Tao, Jue Wang
2002 J jnl
The BSB neural network in the convex body spanned by the prototype patterns for associative memory.
Appl. Math. Comput.
Qing Tao, Jinde Cao, Xin Liu
2001 J jnl
A novel continuous-time neural network for realizing associative memory.
IEEE Trans. Neural Networks
Qing Tao, Tingjian Fang, Hong Qiao
2001 J jnl
A simple and high performance neural network for quadratic programming problems.
Appl. Math. Comput.
Qing Tao, Jinde Cao, Demin Sun
2001 J jnl
Estimation on Domain of Attraction and Convergence Rate of Hopfield Continuous Feedback Neural Networks.
J. Comput. Syst. Sci.
Jinde Cao, Qing Tao
2000 J jnl
Estimation of the Domain of Attraction and the Convergence Rate of a Hopfield Associative Memory and an Application.
J. Comput. Syst. Sci.
Jinde Cao, Qing Tao