An Attribute-Oriented Ensemble Classifier Based on Niche Gene Expression Programming. - Jiang Wu; Changjie Tang; Jun Zhu; Taiyong Li; Lei Duan; Chuan Li 002; Li Dai (ICNC (3), 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)

Timeline Analysis of Web News Events. - Jiangtao Qiu; Chuan Li 002; Shaojie Qiao; Taiyong Li; Jun Zhu (ADMA, 2008)

Automatic SVM Kernel Function Construction Based on Gene Expression Programming. - Yue Jiang 004; Changjie Tang; Chuan Li 002; Shengzhi Li; Shangyu Ye; Taiyong Li; Haichun Zheng (CSSE (4), 2008)

k-Anonymity via Clustering Domain Knowledge for Privacy Preservation. - Taiyong Li; Changjie Tang; Jiang Wu; Qian Luo; Shengzhi Li; Xun Lin; Jie Zuo (FSKD (4), 2008)

GEP-NFM: Nested Function Mining Based on Gene Expression Programming. - Taiyong Li; Changjie Tang; Jiang Wu; Xuzhong Wei; Chuan Li 002; Shucheng Dai; Jun Zhu (ICNC (6), 2008)

A Multiple Evolutionary Neural Network Classifier Based on Niche Genetic Algorithm. - Jiang Wu; Changjie Tang; Taiyong Li; Yue Jiang 004; Shangyu Ye; Xun Lin; Jie Zuo (ICNC (3), 2008)

Gene Expression Programming without Reduplicate Individuals. - Taiyong Li; Changjie Tang; Ting He; Jiang Wu; Wenbing Qin (ICNC (4), 2009)

E3TP: A Novel Trajectory Prediction Algorithm in Moving Objects Databases. - Teng Long; Shaojie Qiao; Changjie Tang; Liangxu Liu; Taiyong Li; Jiang Wu (PAISI, 2009)

Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease. - Jing Wan; Zhilin Zhang 002; Jingwen Yan; Taiyong Li; Bhaskar D. Rao; Shiaofen Fang; Sungeun Kim; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (CVPR, 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 007; Heng Huang; Andrew J. Saykin; Li Shen 001 (MBIA, 2012)

Robust Face Recognition via Block Sparse Bayesian Learning - Taiyong Li; Zhilin Zhang (CoRR, 2013)

Interactive object extraction by merging regions with k-global maximal similarity. - Taiyong Li; Zhilong Xie; Jiang Wu; Jingwen Yan; Li Shen 001 (Neurocomputing, 2013)

Few-view image reconstruction combining total variation and a high-order norm. - Yi Zhang 018; Weihua Zhang; Hu Chen 002; Menglong Yang; Taiyong Li; Jiliu Zhou (Int. J. Imaging Syst. Technol., 2013)

ECG Classification Using Wavelet Packet Entropy and Random Forests. - Taiyong Li; Min Zhou (Entropy, 2016)

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)

Variation of the Korotkoff Stethoscope Sounds During Blood Pressure Measurement: Analysis Using a Convolutional Neural Network. - Fan Pan; Peiyu He; Chengyu Liu 001; Taiyong Li; Alan Murray; Dingchang Zheng (IEEE J. Biomed. Health Informatics, 2017)

Image Encryption Based on Dynamic Filtering and Bit Cuboid Operations. - Xinsheng Li; Zhilong Xie; Jiang Wu; Taiyong Li (Complex., 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 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)

Short-Term Load Forecasting with Improved CEEMDAN and GWO-Based Multiple Kernel ELM. - Taiyong Li; Zijie Qian; Ting He (Complex., 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)

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)

Detecting Epileptic Seizures in EEG Signals with Complementary Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting. - Jiang Wu; Tengfei Zhou; Taiyong Li (Entropy, 2020)

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)

Hyperchaotic Image Encryption Based on Multiple Bit Permutation and Diffusion. - Taiyong Li; Duzhong Zhang (Entropy, 2021)

Hyper-Chaotic Color Image Encryption Based on Transformed Zigzag Diffusion and RNA Operation. - Duzhong Zhang; Lexing Chen; Taiyong Li (Entropy, 2021)

Color image encryption based on joint permutation and diffusion. - Taiyong Li; Jiayi Shi; Duzhong Zhang (J. Electronic Imaging, 2021)

Pyramid particle swarm optimization with novel strategies of competition and cooperation. - Taiyong Li; Jiayi Shi; Wu Deng; Zhenda Hu (Appl. Soft Comput., 2022)

Deep Image Steganography Using Transformer and Recursive Permutation. - Zhiyi Wang; Mingcheng Zhou; Boji Liu; Taiyong Li (Entropy, 2022)

Divergence-Based Locally Weighted Ensemble Clustering with Dictionary Learning and L2, 1-Norm. - Jiaxuan Xu; Jiang Wu; Taiyong Li; Yang Nan (Entropy, 2022)

An image encryption algorithm based on joint RNA-level permutation and substitution. - Duzhong Zhang; Xiancheng Wen; Chao Yan; Taiyong Li (Multim. Tools Appl., 2023)

Chaotic Color Image Encryption Based on Eight-Base DNA-Level Permutation and Diffusion. - Wei Fan; Taiyong Li; Jianan Wu; Jiang Wu (Entropy, 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 011; Jiaying Shen; Changjun Zhou; Taiyong Li; Shaoqiang Yan (J. Comput. Sci., 2023)

Recursive lightweight convolutional neural networks that make noisy images purer and purer. - Jiayi Shi; Taiyong Li; Jiaxuan Xu (Vis. Comput., 2023)

Enhancing Ensemble Clustering with Adaptive High-Order Topological Weights. - Jiaxuan Xu; Taiyong Li; Lei Duan (AAAI, 2024)

Ensemble clustering via dual self-enhancement by alternating denoising and topological consistency propagation. - Jiaxuan Xu; Taiyong Li; Jiang Wu; Duzhong Zhang (Appl. Soft Comput., 2024)

Game-Theoretic Design of Quality-Aware Incentive Mechanisms for Hierarchical Federated Learning. - Gangqiang Hu; Jianmin Han; Jianfeng Lu 002; Juan Yu 002; Sheng Qiu; Hao Peng 002; Donglin Zhu; Taiyong Li (IEEE Internet Things J., 2024)

Clinical research text summarization method based on fusion of domain knowledge. - Shiwei Jiang; Qingxiao Zheng; Taiyong Li; Shuanghong Luo (J. Biomed. Informatics, 2024)

Joint scrambling and diffusion image encryption based on RNA theory and row-column-level operation. - Sijian Liang; Duzhong Zhang; Yun Duan; Xinchen Wang; Taiyong Li (J. Electronic Imaging, 2024)

Adaptive weighted ensemble clustering via kernel learning and local information preservation. - Taiyong Li; Xiaoyang Shu; Jiang Wu; Qingxiao Zheng; Xi Lv; Jiaxuan Xu (Knowl. Based Syst., 2024)

Ensemble clustering with low-rank optimal Laplacian matrix learning. - Jiaxuan Xu; Taiyong Li (Appl. Soft Comput., 2024)

Hyper-chaotic color image encryption based on 3D orthogonal Latin cubes and RNA diffusion. - Duzhong Zhang; Lexing Chen; Taiyong Li (Multim. Tools Appl., 2024)

Ensemble clustering via fusing global and local structure information. - Jiaxuan Xu; Taiyong Li; Duzhong Zhang; Jiang Wu (Expert Syst. Appl., 2024)

A fast visually meaningful image encryption algorithm based on compressive sensing and joint diffusion and scrambling. - Duzhong Zhang; Chao Yan; Yun Duan; Sijian Liang; Jiang Wu; Taiyong Li (Multim. Tools Appl., 2024)

Decomposition-based multi-objective evolutionary algorithm with customized evolution strategy according to population state. - Lexing Chen; Taiyong Li; Donglin Zhu; Wu Deng (Appl. Soft Comput., 2025)

Multi-step citywide traffic flow forecasting based on multiscale spatio-temporal transformer. - Shenkai Zhang; Taiyong Li; Yingqi Chen; Jiang Wu; Xiao Yan (Eng. Appl. Artif. Intell., 2025)

Kernel grouping for time series classification with multiple transformations and pooling operators. - Panjie Wang; Jiang Wu; Yuan Wei; Taiyong Li (Expert Syst. Appl., 2025)

Hyper-chaotic color image encryption based on 3D bit-level permutation and diffusion model. - Yun Duan; Taiyong Li; Sijian Liang; Xinchen Wang; Duzhong Zhang (J. Electronic Imaging, 2025)

NAST: neural architecture search and transformer for image manipulation localization. - Yunbiao Zhao; Lei Wang; Jiang Wu; Taiyong Li (J. Electronic Imaging, 2025)

Sorted Texture-Aware Glance and Gaze Network for Hyperspectral Image Classification With Low Training Samples. - Taiyong Li; Jialei Zhan; Jialang Liu; Jiajia Guo; Xuan Xiong; Weiwei Cai 001; Exian Liu; Yingmei Wei; Yaowen Hu (IEEE Trans. Geosci. Remote. Sens., 2025)

DNA sequence-driven multi-strategy particle swarm optimization for global optimization. - Jiaying Shen; Donglin Zhu; Wenqing Xiong; Leyi Wang; Jialing Hu; Changjun Zhou; Shi Cheng; Taiyong Li (Clust. Comput., 2025)