Observer-Based Adaptive NN Tracking Control for Nonstrict-Feedback Systems with Input Saturation. - Xiang Liu; Dongbing Tong; Qiaoyu Chen; Wuneng Zhou; Kaili Liao (Neural Process. Lett., 2021)

Contribution- and Participation-Based Federated Learning on Non-IID Data. - Fei Hu; Wuneng Zhou; Kaili Liao; Hongliang Li (IEEE Intell. Syst., 2022)

Observer-based adaptive finite-time prescribed performance NN control for nonstrict-feedback nonlinear systems. - Dongbing Tong; Xiang Liu; Qiaoyu Chen; Wuneng Zhou; Kaili Liao (Neural Comput. Appl., 2022)

An EWT-EnsemLSTM-LSSA Model for Metro Passengers Volume Prediction. - Kaili Liao; Wuneng Zhou (IEEE Access, 2023)

Toward Federated Learning Models Resistant to Adversarial Attacks. - Fei Hu; Wuneng Zhou; Kaili Liao; Hongliang Li; Dongbing Tong (IEEE Internet Things J., 2023)

Distributed Bipartite Consensus Control for Multi-Agent Systems With Actuator Faults Under Fixed and Markovian Switching Topology. - Hongliang Li; Xuan Gu; Yiming Gan; Kaili Liao; Wuneng Zhou (IEEE Access, 2024)

Regulated Federated Learning Against the Effects of Heterogeneity and Client Attacks. - Fei Hu; Wuneng Zhou; Kaili Liao; Hongliang Li; Dongbing Tong (IEEE Intell. Syst., 2024)

A multi-level attention long short-term memory neural network based on rival rise algorithm for traffic volume prediction. - Kaili Liao; Wuneng Zhou (Int. J. Mach. Learn. Cybern., 2024)

On Novel Design Methods of Fixed-Time State Observation and Consensus Control for Linear Leader-Follower Multiagent System. - Hongliang Li; Fan Liu; Yilin Liu; Wuneng Zhou; Kaili Liao (Complex., 2025)