One-way hash function construction based on 2D coupled map lattices. - Yong Wang 009; Xiaofeng Liao 001; Di Xiao 001; Kwok-Wo Wong (Inf. Sci., 2008)

Parallel keyed hash function construction based on chaotic neural network. - Di Xiao 001; Xiaofeng Liao 001; Yong Wang 009 (Neurocomputing, 2009)

New delay-dependent exponential stability criteria of BAM neural networks with time delays. - Degang Yang; Xiaofeng Liao 001; Chunyan Hu; Yong Wang 009 (Math. Comput. Simul., 2009)

A method for designing S-box based on chaotic neural network. - Yong Wang 009; Li Yang; Min Li; Sihong Song (ICNC, 2010)

A new chaos-based fast image encryption algorithm. - Yong Wang 009; Kwok-Wo Wong; Xiaofeng Liao 001; Guanrong Chen (Appl. Soft Comput., 2011)

Algebraic criteria for second-order global consensus in multi-agent networks with intrinsic nonlinear dynamics and directed topologies. - Huaqing Li 001; Xiaofeng Liao 001; Tingwen Huang; Yong Wang 009; Qi Han 004; Tao Dong 001 (Inf. Sci., 2014)

Security analysis on a color image encryption based on DNA encoding and chaos map. - Yong Wang 009; Peng Lei; Huaqian Yang; Huiying Cao (Comput. Electr. Eng., 2015)

A Method for Constructing Bijective S-Box with High Nonlinearity Based on Chaos and Optimization. - Yong Wang 009; Peng Lei; Kwok-Wo Wong (Int. J. Bifurc. Chaos, 2015)

Implicit Feature Identification in Chinese Reviews Based on Hybrid Rules. - Yong Wang 009; Ya-Zhi Tao; Xiao-Yi Wan; Huiying Cao (FSDM, 2016)

High-capacity separable data hiding in encrypted image based on compressive sensing. - Di Xiao 001; Hongkun Cai; Yong Wang 009; Sen Bai (Multim. Tools Appl., 2016)

Chaotic map-based time-aware multi-keyword search scheme with designated server. - Yousheng Zhou; Guangxia Xu; Yong Wang 009; Xiaojun Wang 001 (Wirel. Commun. Mob. Comput., 2016)

Couple-group consensus for heterogeneous and competitive complex multi-agent systems with multiple time delays. - Lianghao Ji; Nanxiang Yu; Yong Wang 009 (IECON, 2017)

An Intelligent System for Detecting Illegal Words in Online Advertisement. - Yong Wang 009; Huifang Guo; Qiang Song (ISCID (2), 2017)

A hybrid user similarity model for collaborative filtering. - Yong Wang 009; Jiangzhou Deng; Jerry Gao 002; Pu Zhang (Inf. Sci., 2017)

An image coding scheme using parallel compressive sensing for simultaneous compression-encryption applications. - Guiqiang Hu; Di Xiao 001; Yong Wang 009; Tao Xiang 001 (J. Vis. Commun. Image Represent., 2017)

Separable reversible data hiding in encrypted image based on pixel value ordering and additive homomorphism. - Di Xiao 001; Yanping Xiang; Hongying Zheng; Yong Wang 009 (J. Vis. Commun. Image Represent., 2017)

A Prediction Model for the Risk of Osteoporosis Fracture in the Elderly Based on a Neural Network. - Yong Wang 009; Zhiqiang Zhang; Nanchuan Cai; Yousheng Zhou; Di Xiao 001 (ISNN, 2018)

Research on investor sentiment and stock market prediction based on Weibo text. - Yongheng Deng; Qing Xie; Yong Wang 009 (SPAC, 2018)

Image encryption using partitioned cellular automata. - Yong Wang 009; Yi Zhao; Qing Zhou; Zehui Lin (Neurocomputing, 2018)

Recommending property with short days-on-market for estate agency - A real estate appraisal approach by using transactions data and profile information. - Chao Mou; Qing Zhou; Yinan Ran; Liang Ge; Yong Wang 009 (J. Ambient Intell. Humaniz. Comput., 2018)

Predicting high-risk students using Internet access logs. - Qing Zhou; Wenjun Quan; Yu Zhong; Wei Xiao; Chao Mou; Yong Wang 009 (Knowl. Inf. Syst., 2018)

Controllable high-capacity separable data hiding in encrypted images by compressive sensing and data pretreatment. - Di Xiao 001; Juan Zhao; Mengdi Wang; Yong Wang 009 (Multim. Tools Appl., 2018)

An intuitionistic fuzzy set based hybrid similarity model for recommender system. - Junpeng Guo; Jiangzhou Deng; Yong Wang 009 (Expert Syst. Appl., 2019)

A Pseudorandom Number Generator Based on a 4D Piecewise Logistic Map with Coupled Parameters. - Yong Wang 009; Zhiqiang Zhang; Guodong Wang; Dong Liu (Int. J. Bifurc. Chaos, 2019)

A similarity measure based on Kullback-Leibler divergence for collaborative filtering in sparse data. - Jiangzhou Deng; Yong Wang 009; Junpeng Guo; Yongheng Deng; Jerry Gao 002; Younghee Park (J. Inf. Sci., 2019)

A Novel K-medoids clustering recommendation algorithm based on probability distribution for collaborative filtering. - Jiangzhou Deng; Junpeng Guo; Yong Wang 009 (Knowl. Based Syst., 2019)

A New Interval Preference Model and Corresponding Fuzzy Similarity Measure for Collaborative Filtering. - Yong Wang 009; Pengyu Wang; Xuhui Zhao; Zhuo Liu; Leo Yu Zhang (BigDataService, 2020)

Design and Analysis on a Parallel Chaos-Based Hash Function. - Zhuo Liu; Yong Wang 009; Gongkun Jiang; Leo Yu Zhang (Int. J. Bifurc. Chaos, 2020)

A genetic algorithm for constructing bijective substitution boxes with high nonlinearity. - Yong Wang 009; Zhiqiang Zhang; Leo Yu Zhang; Jun Feng 007; Jerry Gao 002; Peng Lei (Inf. Sci., 2020)

From Chaos to Pseudo-Randomness: A Case Study on the 2D Coupled Map Lattice. - Yong Wang 009; Zhuo Liu; Leo Yu Zhang; Fabio Pareschi; Gianluca Setti; Guanrong Chen (CoRR, 2021)

An efficient and accurate recommendation strategy using degree classification criteria for item-based collaborative filtering. - Junpeng Guo; Jiangzhou Deng; Xun Ran; Yong Wang 009; Hang Jin (Expert Syst. Appl., 2021)

Sentiment based multi-index integrated scoring method to improve the accuracy of recommender system. - Wenhua Li; Xiaoguang Li; Jiangzhou Deng; Yong Wang 009; Junpeng Guo (Expert Syst. Appl., 2021)

A new item similarity based on α-divergence for collaborative filtering in sparse data. - Yong Wang 009; Pengyu Wang; Zhuo Liu; Leo Yu Zhang (Expert Syst. Appl., 2021)

An effective and efficient fuzzy approach for managing natural noise in recommender systems. - Pengyu Wang; Yong Wang 009; Leo Yu Zhang; Hong Zhu 003 (Inf. Sci., 2021)

An optimization model for the transportation network with hierarchical structure: the case of China Post. - Yong Wang 009; Zhiqiang Zhang; Dong Liu (J. Ambient Intell. Humaniz. Comput., 2021)

A Novel Compressive Image Encryption with an Improved 2D Coupled Map Lattice Model. - Zhuo Liu; Yong Wang 009; Leo Yu Zhang; Jun Ma 003 (Secur. Commun. Networks, 2021)

A Sensitive Image Encryption Algorithm Based on a Higher-Dimensional Chaotic Map and Steganography. - Jinyuan Liu 005; Yong Wang 009; Qi Han 004; Jerry Gao 002 (Int. J. Bifurc. Chaos, 2022)

A differentially private matrix factorization based on vector perturbation for recommender system. - Xun Ran; Yong Wang 009; Leo Yu Zhang; Jun Ma 003 (Neurocomputing, 2022)

A differentially private nonnegative matrix factorization for recommender system. - Xun Ran; Yong Wang 009; Leo Yu Zhang; Jun Ma 003 (Inf. Sci., 2022)

A collaborative filtering algorithm based on item labels and Hellinger distance for sparse data. - Yong Wang 009; Xuhui Zhao; Zhiqiang Zhang; Leo Yu Zhang (J. Inf. Sci., 2022)

Data-driven delivery model for distributing daily necessities to residents in a specific emergency area. - Cong Lu; Yong Wang 009 (BigDataService, 2023)

An Efficient Approach to Manage Natural Noises in Recommender Systems. - Chenhong Luo; Yong Wang 009; Bo Li; Hanyang Liu; Pengyu Wang; Leo Yu Zhang (Algorithms, 2023)

From Chaos to Pseudorandomness: A Case Study on the 2-D Coupled Map Lattice. - Yong Wang 009; Zhuo Liu; Leo Yu Zhang; Fabio Pareschi; Gianluca Setti; Guanrong Chen (IEEE Trans. Cybern., 2023)

Buffeting Chaotification Model for Enhancing Chaos and Its Hardware Implementation. - Zhiqiang Zhang; Hong Zhu 003; Pengxin Ban; Yong Wang 009; Leo Yu Zhang (IEEE Trans. Ind. Electron., 2023)

An Irreversible and Revocable Template Generation Scheme Based on Chaotic System. - Jinyuan Liu 005; Yong Wang 009; Kun Wang; Zhuo Liu (Entropy, 2023)

An improved autoencoder for recommendation to alleviate the vanishing gradient problem. - Dong Liu; Yong Wang 009; Chenhong Luo; Jun Ma 003 (Knowl. Based Syst., 2023)

An improved matrix factorization with local differential privacy based on piecewise mechanism for recommendation systems. - Yong Wang 009; Mingxing Gao; Xun Ran; Jun Ma 003; Leo Yu Zhang (Expert Syst. Appl., 2023)

Probabilistic Matrix Factorization Recommendation Approach for Integrating Multiple Information Sources. - Jiangzhou Deng; Xun Ran; Yong Wang 009; Leo Yu Zhang; Junpeng Guo (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Providing prediction reliability through deep neural networks for recommender systems. - Jiangzhou Deng; Hongtao Li; Junpeng Guo; Leo Yu Zhang; Yong Wang 009 (Comput. Ind. Eng., 2023)

A novel fuzzy neural collaborative filtering for recommender systems. - Jiangzhou Deng; Junyu Chen; Songli Wang; Jianmei Ye; Yong Wang 009 (Expert Syst. Appl., 2024)

Matrix factorization recommender based on adaptive Gaussian differential privacy for implicit feedback. - Hanyang Liu; Yong Wang 009; Zhiqiang Zhang; Jiangzhou Deng; Chao Chen 015; Leo Yu Zhang (Inf. Process. Manag., 2024)

DGRM: Diffusion-GAN recommendation model to alleviate the mode collapse problem in sparse environments. - Jiangzhou Deng; Songli Wang; Jianmei Ye; Lianghao Ji; Yong Wang 009 (Pattern Recognit., 2024)

Differentially private recommendation algorithm based on diffusion model and Rényi similarity. - Yongdong Wang; Yong Wang 009; Zhiqiang Zhang; Jiangzhou Deng; Jianmei Ye; Leo Yu Zhang (Inf. Sci., 2025)

A secure and efficient face template protection scheme based on chaos. - Jinyuan Liu 005; Yong Wang 009; Kun Wang; Zhuo Liu (J. Inf. Secur. Appl., 2025)

Distributed Differentially Private Matrix Factorization for Implicit Data via Secure Aggregation. - Chenhong Luo; Yong Wang 009; Yanjun Zhang; Leo Yu Zhang (IEEE Trans. Computers, 2025)

Multimodal Chaotification Model With Hardware Implementation. - Zhiqiang Zhang; Hong Zhu 003; Pengxin Ban; Yong Wang 009; Leo Yu Zhang (IEEE Trans. Ind. Electron., 2025)