Taiyong Li

According to our database, Taiyong Li authored at least 39 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Ensemble clustering via fusing global and local structure information.

Jiaxuan Xu, Taiyong Li, Duzhong Zhang, Jiang Wu

Expert Syst. Appl., March, 2024

Hyper-chaotic color image encryption based on 3D orthogonal Latin cubes and RNA diffusion.

Duzhong Zhang, Lexing Chen, Taiyong Li

Multim. Tools Appl., January, 2024

Ensemble clustering with low-rank optimal Laplacian matrix learning.

Jiaxuan Xu, Taiyong Li

Appl. Soft Comput., January, 2024

Enhancing Ensemble Clustering with Adaptive High-Order Topological Weights.

Jiaxuan Xu, Taiyong Li, Lei Duan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Recursive lightweight convolutional neural networks that make noisy images purer and purer.

Jiayi Shi, Taiyong Li, Jiaxuan Xu

Vis. Comput., December, 2023

A multi-strategy particle swarm algorithm with exponential noise and fitness-distance balance method for low-altitude penetration in secure space.

Donglin Zhu, Siwei Wang, Jiaying Shen, Changjun Zhou, Taiyong Li, Shaoqiang Yan

J. Comput. Sci., December, 2023

Chaotic Color Image Encryption Based on Eight-Base DNA-Level Permutation and Diffusion.

Wei Fan, Taiyong Li, Jianan Wu, Jiang Wu

Entropy, September, 2023

An image encryption algorithm based on joint RNA-level permutation and substitution.

Duzhong Zhang, Xiancheng Wen, Chao Yan, Taiyong Li

Multim. Tools Appl., June, 2023

2022

Divergence-Based Locally Weighted Ensemble Clustering with Dictionary Learning and L2, 1-Norm.

Jiaxuan Xu, Jiang Wu, Taiyong Li, Yang Nan

Entropy, 2022

Deep Image Steganography Using Transformer and Recursive Permutation.

Zhiyi Wang, Mingcheng Zhou, Boji Liu, Taiyong Li

Entropy, 2022

Pyramid particle swarm optimization with novel strategies of competition and cooperation.

Taiyong Li, Jiayi Shi, Wu Deng, Zhenda Hu

Appl. Soft Comput., 2022

2021

Color image encryption based on joint permutation and diffusion.

Taiyong Li, Jiayi Shi, Duzhong Zhang

J. Electronic Imaging, 2021

Hyper-Chaotic Color Image Encryption Based on Transformed Zigzag Diffusion and RNA Operation.

Duzhong Zhang, Lexing Chen, Taiyong Li

Entropy, 2021

Hyperchaotic Image Encryption Based on Multiple Bit Permutation and Diffusion.

Taiyong Li, Duzhong Zhang

Entropy, 2021

Forecasting crude oil prices based on variational mode decomposition and random sparse Bayesian learning.

Taiyong Li, Zijie Qian, Wu Deng, Duzhong Zhang, Huihui Lu, Shuheng Wang

Appl. Soft Comput., 2021

2020

Detecting Epileptic Seizures in EEG Signals with Complementary Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting.

Jiang Wu, Tengfei Zhou, Taiyong Li

Entropy, 2020

A Novel Image Encryption Approach Based on a Hyperchaotic System, Pixel-Level Filtering with Variable Kernels, and DNA-Level Diffusion.

Jiang Wu, Jiayi Shi, Taiyong Li

Entropy, 2020

A Hybrid Approach Integrating Multiple ICEEMDANs, WOA, and RVFL Networks for Economic and Financial Time Series Forecasting.

Jiang Wu, Tengfei Zhou, Taiyong Li

Complex., 2020

Short-Term Load Forecasting with Improved CEEMDAN and GWO-Based Multiple Kernel ELM.

Taiyong Li, Zijie Qian, Ting He

Complex., 2020

2019

Image Encryption Based on Pixel-Level Diffusion with Dynamic Filtering and DNA-Level Permutation with 3D Latin Cubes.

Taiyong Li, Jiayi Shi, Xinsheng Li, Jiang Wu, Fan Pan

Entropy, 2019

A CEEMDAN and XGBOOST-Based Approach to Forecast Crude Oil Prices.

Yingrui Zhou, Taiyong Li, Jiayi Shi, Zijie Qian

Complex., 2019

Image Encryption Based on Dynamic Filtering and Bit Cuboid Operations.

Xinsheng Li, Zhilong Xie, Jiang Wu, Taiyong Li

Complex., 2019

2017

Variation of the Korotkoff Stethoscope Sounds During Blood Pressure Measurement: Analysis Using a Convolutional Neural Network.

Fan Pan, Peiyu He, Chengyu Liu, Taiyong Li, Alan Murray, Dingchang Zheng

IEEE J. Biomed. Health Informatics, 2017

A Novel Image Encryption Algorithm Based on a Fractional-Order Hyperchaotic System and DNA Computing.

Taiyong Li, Minggao Yang, Jiang Wu, Xin Jing

Complex., 2017

2016

ECG Classification Using Wavelet Packet Entropy and Random Forests.

Taiyong Li, Min Zhou

Entropy, 2016

2013

Few-view image reconstruction combining total variation and a high-order norm.

Yi Zhang, Weihua Zhang, Hu Chen, Menglong Yang, Taiyong Li, Jiliu Zhou

Int. J. Imaging Syst. Technol., 2013

Interactive object extraction by merging regions with k-global maximal similarity.

Taiyong Li, Zhilong Xie, Jiang Wu, Jingwen Yan, Li Shen

Neurocomputing, 2013

Robust Face Recognition via Block Sparse Bayesian Learning

Taiyong Li, Zhilin Zhang

CoRR, 2013

2012

Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning.

Jingwen Yan, Shannon L. Risacher, Sungeun Kim, Jacqueline C. Simon, Taiyong Li, Jing Wan, Hua Wang, Heng Huang, Andrew J. Saykin, Li Shen

Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012

Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease.

Jing Wan, Zhilin Zhang, Jingwen Yan, Taiyong Li, Bhaskar D. Rao, Shiaofen Fang, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2009

E3TP: A Novel Trajectory Prediction Algorithm in Moving Objects Databases.

Teng Long, Shaojie Qiao, Changjie Tang, Liangxu Liu, Taiyong Li, Jiang Wu

Proceedings of the Intelligence and Security Informatics, Pacific Asia Workshop, 2009

Gene Expression Programming without Reduplicate Individuals.

Taiyong Li, Changjie Tang, Ting He, Jiang Wu, Wenbing Qin

Proceedings of the Fifth International Conference on Natural Computation, 2009

2008

A Multiple Evolutionary Neural Network Classifier Based on Niche Genetic Algorithm.

Jiang Wu, Changjie Tang, Taiyong Li, Yue Jiang, Shangyu Ye, Xun Lin, Jie Zuo

Proceedings of the Fourth International Conference on Natural Computation, 2008

GEP-NFM: Nested Function Mining Based on Gene Expression Programming.

Taiyong Li, Changjie Tang, Jiang Wu, Xuzhong Wei, Chuan Li, Shucheng Dai, Jun Zhu

Proceedings of the Fourth International Conference on Natural Computation, 2008

k-Anonymity via Clustering Domain Knowledge for Privacy Preservation.

Taiyong Li, Changjie Tang, Jiang Wu, Qian Luo, Shengzhi Li, Xun Lin, Jie Zuo

Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

Automatic SVM Kernel Function Construction Based on Gene Expression Programming.

Yue Jiang, Changjie Tang, Chuan Li, Shengzhi Li, Shangyu Ye, Taiyong Li, Haichun Zheng

Proceedings of the International Conference on Computer Science and Software Engineering, 2008

Timeline Analysis of Web News Events.

Jiangtao Qiu, Chuan Li, Shaojie Qiao, Taiyong Li, Jun Zhu

Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008

2007

ELEMENT OF -Strictly Efficient Solutions of Vector Optimization Problems with Set-Valued Maps.

Taiyong Li, Yihong Xu, Chuanxi Zhu

Asia Pac. J. Oper. Res., 2007

An Attribute-Oriented Ensemble Classifier Based on Niche Gene Expression Programming.

Jiang Wu, Changjie Tang, Jun Zhu, Taiyong Li, Lei Duan, Chuan Li, Li Dai

Proceedings of the Third International Conference on Natural Computation, 2007