Double weighted FCM algorithm for color image segmentation. - De-Yu Tang; Jin Yang 004; Yi-Shuan Huang (ICMLC, 2012)

A New Shuffled Frog Leaping Algorithm with Space Zoomed Factor and Gravity Attractor. - De-Yu Tang; Jin Yang 004 (J. Digit. Inf. Manag., 2013)

A quantum-behaved particle swarm optimization with memetic algorithm and memory for continuous non-linear large scale problems. - Deyu Tang; Yongming Cai; Jie Zhao 011; Yun Xue (Inf. Sci., 2014)

An Improved Shuffled Frog Leaping Algorithm with Single Step Search Strategy and Interactive Learning Rule for Continuous Optimization. - Deyu Tang; Yongming Cai; Jie Zhao 011 (J. Comput., 2014)

ITGO: Invasive tumor growth optimization algorithm. - De-Yu Tang; Shoubin Dong; Yi Jiang; Huan Li; Yi-Shuan Huang (Appl. Soft Comput., 2015)

基于全局正区域不一致性的快速求核算法 (Global Positive Region Inconsistency Based Attributes Core Computation). - Jie Zhao 011; Junjie Liang; Zhenning Dong; Xu Chen; Deyu Tang (计算机科学, 2015)

Research on mobile network traffic taxonomy. - Zhen Liu 017; Ruoyu Wang 002; Deyu Tang (CITS, 2016)

A System for Linking Ground Truth to Mobile Network Traffic. - Zhen Liu 017; Ruoyu Wang 002; Deyu Tang; Peng Yang (MobiQuitous, 2016)

A lévy flight-based shuffled frog-leaping algorithm and its applications for continuous optimization problems. - Deyu Tang; Jin Yang 004; Shoubin Dong; Zhen Liu 017 (Appl. Soft Comput., 2016)

Extracting and reasoning about implicit behavioral evidences for detecting fraudulent online transactions in e-Commerce. - Jie Zhao 011; Raymond Y. K. Lau; Wenping Zhang; Kaihang Zhang; Xu Chen; Deyu Tang (Decis. Support Syst., 2016)

A two-stage quantum-behaved particle swarm optimization with skipping search rule and weight to solve continuous optimization problem. - Deyu Tang; Shoubin Dong; Xianfa Cai; Jie Zhao 011 (Neural Comput. Appl., 2016)

Intrusive tumor growth inspired optimization algorithm for data clustering. - De-Yu Tang; Shoubin Dong; Lifang He 001; Yi Jiang (Neural Comput. Appl., 2016)

Objective cost-sensitive-boosting-WELM for handling multi class imbalance problem. - Zhen Liu 017; Deyu Tang; Jincheng Li; Ruoyu Wang 002 (IJCNN, 2017)

A hybrid method based on ensemble WELM for handling multi class imbalance in cancer microarray data. - Zhen Liu 017; Deyu Tang; Yongming Cai; Ruoyu Wang 002; Fuhua Chen (Neurocomputing, 2017)

Benchmark Data for Mobile App Traffic Research. - Ruoyu Wang 002; Zhen Liu 017; Yongming Cai; Deyu Tang; Jin Yang 004; Zhao Yang (MobiQuitous, 2018)

Extending labeled mobile network traffic data by three levels traffic identification fusion. - Zhen Liu 017; Ruoyu Wang 002; Deyu Tang (Future Gener. Comput. Syst., 2018)

Spherical evolution for solving continuous optimization problems. - Deyu Tang (Appl. Soft Comput., 2019)

Adaptive learning on mobile network traffic data. - Zhen Liu 017; Nathalie Japkowicz; Ruoyu Wang 002; Deyu Tang (Connect. Sci., 2019)

Mobile app traffic flow feature extraction and selection for improving classification robustness. - Zhen Liu 017; Ruoyu Wang 002; Nathalie Japkowicz; Yongming Cai; Deyu Tang; Xianfa Cai (J. Netw. Comput. Appl., 2019)

A Novel Centralized Range-Free Static Node Localization Algorithm with Memetic Algorithm and Lévy Flight. - Jin Yang 004; Yongming Cai; Deyu Tang; Zhen Liu 017 (Sensors, 2019)

Memetic frog leaping algorithm for global optimization. - Deyu Tang; Zhen Liu 017; Jin Yang 004; Jie Zhao 011 (Soft Comput., 2019)

A Vascular Invasive Tumor Growth Optimization Algorithm for Multi-Objective Optimization. - Jing Zhou; Shoubin Dong; Deyu Tang; Xiaofei Wu (IEEE Access, 2020)

A statistical pattern based feature extraction method on system call traces for anomaly detection. - Zhen Liu 017; Nathalie Japkowicz; Ruoyu Wang 002; Yongming Cai; Deyu Tang; Xianfa Cai (Inf. Softw. Technol., 2020)

NEC: A nested equivalence class-based dependency calculation approach for fast feature selection using rough set theory. - Jie Zhao 011; Jia-ming Liang; Zhenning Dong; De-Yu Tang; Zhen Liu 017 (Inf. Sci., 2020)

Evaluating the reliability of sources of evidence with a two-perspective approach in classification problems based on evidence theory. - Jie Zhao 011; Rui Xue; Zhenning Dong; Deyu Tang; Wenhong Wei (Inf. Sci., 2020)

Memetic quantum evolution algorithm for global optimization. - Deyu Tang; Zhen Liu 017; Jie Zhao 011; Shoubin Dong; Yongming Cai (Neural Comput. Appl., 2020)

Spherical search optimizer: a simple yet efficient meta-heuristic approach. - Jie Zhao 011; Deyu Tang; Zhen Liu 017; Yongming Cai; Shoubin Dong (Neural Comput. Appl., 2020)

Accelerating information entropy-based feature selection using rough set theory with classified nested equivalence classes. - Jie Zhao 011; Jia-ming Liang; Zhenning Dong; Deyu Tang; Zhen Liu 017 (Pattern Recognit., 2020)

An Unsupervised Feature Learning Method for Enhancing the Generalization of Cancer Diagnosis. - Zhen Liu 017; Ruoyu Wang 002; Wenbin Zhang 002; Deyu Tang (ICMLC, 2021)

An Evolutionary Frog Leaping Algorithm for Global Optimization Problems and Applications. - Deyu Tang; Jie Zhao 011; Jin Yang 004; Zhen Liu 017; Yongming Cai (Comput. Intell. Neurosci., 2021)

Research on unsupervised feature learning for Android malware detection based on Restricted Boltzmann Machines. - Zhen Liu 017; Ruoyu Wang 002; Nathalie Japkowicz; Deyu Tang; Wenbin Zhang 002; Jie Zhao 011 (Future Gener. Comput. Syst., 2021)

Memetic quantum optimization algorithm with levy flight for high dimension function optimization. - Jin Yang 004; Yongming Cai; Deyu Tang; Wei Chen; Lingzhi Hu (Appl. Intell., 2022)

SSELM-neg: spherical search-based extreme learning machine for drug-target interaction prediction. - Lingzhi Hu; Chengzhou Fu; Zhonglu Ren; Yongming Cai; Jin Yang 004; Siwen Xu; Wenhua Xu; Deyu Tang (BMC Bioinform., 2023)

MDNN: memetic deep neural network for genomic prediction. - Yijun Mao; Xingcheng Peng; Jian Weng 001; Rongjin Jiang; Yingjie Kuang; Jiasi Weng 001; Rui Pang; Yunyan Xiong; Wanrong Gu; Deyu Tang (Briefings Bioinform., 2025)

Inter-view contrastive learning and miRNA fusion for lncRNA-protein interaction prediction in heterogeneous graphs. - Yijun Mao; Jiale Wu; Jian Weng 001; Ming Li 049; Yunyan Xiong; Wanrong Gu; Rongjin Jiang; Rui Pang; Xudong Lin 001; Deyu Tang (Briefings Bioinform., 2025)