Formulation and analysis of high-dimensional chaotic maps. - Ying Liu 020; Wallace Kit-Sang Tang; Hong Sze Kwok (ISCAS, 2008)

An Adaptive Observer Design for Auto-Synchronization of Lorenz System. - Ying Liu 020; Wallace Kit-Sang Tang; Ljupco Kocarev (Int. J. Bifurc. Chaos, 2008)

Cryptanalysis of Chaotic Masking Secure Communication Systems Using an Adaptive Observer. - Ying Liu 020; Wallace Kit-Sang Tang (IEEE Trans. Circuits Syst. II Express Briefs, 2008)

Cryptanalysis of Chaotic Communication Schemes by Dynamical Minimization Algorithm. - Ying Liu 020; Yu Mao 003; Wallace Kit-Sang Tang; Ljupco Kocarev (Int. J. Bifurc. Chaos, 2009)

Adaptive Synchronization of Chaotic Systems and Its Uses in Cryptanalysis. - Ying Liu 020; Wallace Kit-Sang Tang (Recent Advances in Nonlinear Dynamics and Synchronization, 2009)

Formation of High-Dimensional Chaotic Maps and Their Uses in Cryptography. - Wallace Kit-Sang Tang; Ying Liu 020 (Chaos-Based Cryptography, 2011)

A meta-heuristic algorithm for enhancing the synchronizability of complex networks. - Ka Wai Yeung; Cuili Yang; Wallace Kit-Sang Tang; Ying Liu 020 (ISIE, 2012)

Distributed estimation over complex networks. - Ying Liu 020; Chunguang Li 001; Wallace Kit-Sang Tang; Zhaoyang Zhang 001 (Inf. Sci., 2012)

Diffusion Sparse Least-Mean Squares Over Networks. - Ying Liu 020; Chunguang Li 001; Zhaoyang Zhang 001 (IEEE Trans. Signal Process., 2012)

Firing Rate Propagation Through Neuronal-Astrocytic Network. - Ying Liu 020; Chunguang Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2013)

Diffusion Information Theoretic Learning for Distributed Estimation Over Network. - Chunguang Li 001; Pengcheng Shen; Ying Liu 020; Zhaoyang Zhang 001 (IEEE Trans. Signal Process., 2013)

Optimal topological design for distributed estimation over sensor networks. - Ying Liu 020; Cuili Yang; Wallace Kit-Sang Tang; Chunguang Li 001 (Inf. Sci., 2014)

Robust synchronization of chaotic systems using slidingmode and feedback control. - Li-li Li; Ying Liu 020; Qi-guo Yao (J. Zhejiang Univ. Sci. C, 2014)

Enhanced incremental LMS with norm constraints for distributed in-network estimation. - Ying Liu 020; Wallace Kit-Sang Tang (Signal Process., 2014)

Distributed Sparse Recursive Least-Squares Over Networks. - Zhaoting Liu; Ying Liu 020; Chunguang Li 001 (IEEE Trans. Signal Process., 2014)

Complex-valued Bayesian parameter estimation via Markov chain Monte Carlo. - Ying Liu 020; Chunguang Li 001 (Inf. Sci., 2016)

Distributed TLS over multitask networks with adaptive intertask cooperation. - Chunguang Li 001; Songyan Huang; Ying Liu 020; Yiguang Liu (IEEE Trans. Aerosp. Electron. Syst., 2016)

Distributed Blind Estimation Over Sensor Networks. - Ying Liu 020; Lili Li (IEEE Access, 2017)

Online semi-supervised support vector machine. - Ying Liu 020; Zhen Xu 012; Chunguang Li 001 (Inf. Sci., 2018)

Distributed online semi-supervised support vector machine. - Ying Liu 020; Zhen Xu 012; Chunguang Li 001 (Inf. Sci., 2018)

Secure Distributed Estimation Over Wireless Sensor Networks Under Attacks. - Ying Liu 020; Chunguang Li 001 (IEEE Trans. Aerosp. Electron. Syst., 2018)

Distributed Jointly Sparse Multitask Learning Over Networks. - Chunguang Li 001; Songyan Huang; Ying Liu 020; Zhaoyang Zhang 001 (IEEE Trans. Cybern., 2018)

Distributed Prediction via Adaptive Hammerstein Filter Over Networked Systems. - Ying Liu 020; Chunguang Li 001 (IEEE Trans. Signal Inf. Process. over Networks, 2018)

Distributed Differential Utility/Cost Analysis for Privacy Protection. - Xicong Shen; Ying Liu 020 (IEEE Signal Process. Lett., 2019)

Distributed Online One-Class Support Vector Machine for Anomaly Detection Over Networks. - Xuedan Miao; Ying Liu 020; Haiquan Zhao 001; Chunguang Li 001 (IEEE Trans. Cybern., 2019)

Distributed Semi-supervised Multi-label Classification with Quantized Communication. - Zhen Xu 012; Yifan Zhai; Ying Liu 020 (ICMLC, 2020)

Distributed Broad Learning System. - Yifan Zhai; Ying Liu 020 (ICMLC, 2020)

Robust Distributed Parameter Estimation of Nonlinear Systems With Missing Data Over Networks. - Sicong Chen; Ying Liu 020 (IEEE Trans. Aerosp. Electron. Syst., 2020)

Distributed Semi-Supervised Learning With Missing Data. - Zhen Xu 012; Ying Liu 020; Chunguang Li 001 (IEEE Trans. Cybern., 2021)

Performance-Enhanced Federated Learning With Differential Privacy for Internet of Things. - Xicong Shen; Ying Liu 020; Zhaoyang Zhang 001 (IEEE Internet Things J., 2022)

Privacy-Preserving Distributed Estimation Over Multitask Networks. - Xicong Shen; Ying Liu 020 (IEEE Trans. Aerosp. Electron. Syst., 2022)

Distributed Semisupervised Partial Label Learning Over Networks. - Ying Liu 020; Zhen Xu 012; Chen Zhang (IEEE Trans. Artif. Intell., 2022)

Distributed Information-Theoretic Semisupervised Learning for Multilabel Classification. - Zhen Xu 012; Ying Liu 020; Chunguang Li 001 (IEEE Trans. Cybern., 2022)

Interval Prediction of Tobacco Tax Profit Based on a Hybrid Holt-SVR Model. - Shiyuan Tong; Minfei Wang; Jian Sun; Jianmin Ge; Qi Pei; Ying Liu 020 (ICBAR, 2023)

Distributed Multi-kernel Learning Based on Gaussian Mixture Model with Missing Data. - Sicong Chen; Ying Liu 020 (SPCNC, 2023)

Privacy-Preserving Federated Learning Against Label-Flipping Attacks on Non-IID Data. - Xicong Shen; Ying Liu 020; Fu Li; Chunguang Li 001 (IEEE Internet Things J., 2024)

Distributed personalized imputation based on Gaussian mixture model for missing data. - Sicong Chen; Ying Liu 020 (Neural Comput. Appl., 2024)

Frequency-Domain Distributed Multitask Learning Over Networks. - Zefeng Chen; Ying Liu 020 (IEEE Internet Things J., 2024)

Deeply Supervised Block-Wise Neural Architecture Search. - An Yang; Ying Liu 020; Chunguang Li 001; Qinyuan Ren (IEEE Trans. Neural Networks Learn. Syst., 2025)