Research on Risk Contagion among Financial Submarkets in China Based on Complex Networks. - Yuhua Xu 002; Yue Zhao; Mengna Liu; Chengrong Xie (Entropy, 2022)

Kernelised correlation filters target tracking fused multi-feature based on the unmanned aerial vehicle platform. - Zhouzhou Liu; Mengna Liu; Yangmei Zhang (IET Wirel. Sens. Syst., 2022)

Learning-Based Model Predictive Control with Application in Robotic Trajectory Tracking. - Hongyu Zhu; Mengna Liu; Dan Yu (CDC, 2023)

Robust Classification of Incomplete Time Series with Noisy Labels. - Xin Qin; Pengshuai Yao; Mengna Liu; Xu Cheng 003; Fan Shi 001; Lili Guo (CSCWD, 2024)

Multiscale Wavelet-Driven Transformerfor Blade Icing Detection. - Dong Xiang; Xu Cheng 003; Sizhuo Chen; Mengna Liu; Fan Shi 001; Xiufeng Liu (FAIML, 2024)

Online Anomaly Detection for Streaming Data in the Presence of Missing Values. - Xinyao Xu; Mengna Liu; Xu Cheng; Lei Song; Jianhua Zhang (SMC, 2024)

Disentangling Imperfect: A Wavelet-Infused Multilevel Heterogeneous Network for Human Activity Recognition in Flawed Wearable Sensor Data. - Mengna Liu; Dong Xiang; Xu Cheng 003; Xiufeng Liu; Dalin Zhang 001; Shengyong Chen; Christian S. Jensen (CoRR, 2024)

An End-to-End Model for Time Series Classification In the Presence of Missing Values. - Pengshuai Yao; Mengna Liu; Xu Cheng 003; Fan Shi 001; Huan Li 003; Xiufeng Liu; Shengyong Chen (CoRR, 2024)

Multilevel Signal Decomposition Layer-Specific Residual Network for Blade Icing Prediction. - Dong Xiang; Sizhuo Chen; Mengna Liu; Fan Shi 001; Xu Cheng 003 (IEEE Signal Process. Lett., 2024)

A Prototype-Empowered Kernel-Varying Convolutional Model for Imbalanced Sea State Estimation in IoT-Enabled Autonomous Ship. - Mengna Liu; Xu Cheng 003; Fan Shi 001; Xiufeng Liu; Hongning Dai; Shengyong Chen (IEEE Trans. Sustain. Comput., 2024)

Robust Online Detection of Anomalies in Evolving Data Streams with GAN Imputation. - Xinyao Xu; Mengna Liu; Xu Cheng; Jianhua Zhang; Feng Xiao; Guang Yang (CSCWD, 2025)

An end-to-end model for time series classification in the presence of missing values. - Mengna Liu; Pengshuai Yao; Xu Cheng 003; Shengyong Chen (Expert Syst. Appl., 2025)

Prototype-based Heterogeneous Federated Learning for Blade Icing Detection in Wind Turbines with Class Imbalanced Data. - Lele Qi; Mengna Liu; Xu Cheng 003; Fan Shi 001; Xiufeng Liu; Shengyong Chen (CoRR, 2025)

Dynamic Graph-Like Learning with Contrastive Clustering on Temporally-Factored Ship Motion Data for Imbalanced Sea State Estimation in Autonomous Vessel. - Kexin Wang; Mengna Liu; Xu Cheng 003; Fan Shi 001; Shanshan Qi; Shengyong Chen (CoRR, 2025)

Leveragable Adaptive Multi-Scale Features and Learnable Prototypes for Imbalanced Sea State Estimation Based on Ship Motion Data. - Zhichao Xu; Mengna Liu; Tianjiao Li; Xiufeng Liu; Xu Cheng 003; Shengyong Chen (IEEE Trans. Intell. Transp. Syst., 2025)