Zeng, Zhigang

Synchronization control of a class of memristor-based recurrent neural networks

Wu, A., Wen, S., & Zeng, Z. (2012) · Information Sciences

Neural Networks Stability and SynchronizationChaos control and synchronization

Cited by 384

Exponential Stabilization of Memristive Neural Networks With Time Delays

Wu, A., & Zeng, Z. (2012) · IEEE Transactions on Neural Networks and Learning Systems

Neural Networks Stability and SynchronizationStability and Control of Uncertain Systems

Cited by 295

Dynamic behaviors of memristor-based recurrent neural networks with time-varying delays

Wu, A., & Zeng, Z. (2012) · Neural Networks

Neural Networks Stability and SynchronizationAdvanced Memory and Neural Computing

Cited by 185

Exponential stability analysis of memristor-based recurrent neural networks with time-varying delays

Wen, S., Zeng, Z., & Huang, T. (2012) · Neurocomputing

Neural Networks Stability and SynchronizationAdvanced Memory and Neural Computing

Cited by 184

Pixel-wise regression using U-Net and its application on pansharpening

Yao, W., Zeng, Z., Lian, C., & Tang, H. (2018) · Neurocomputing

Advanced Image Fusion TechniquesRemote-Sensing Image Classification

Cited by 133

Probabilistic Charging Power Forecast of EVCS: Reinforcement Learning Assisted Deep Learning Approach

Li, Y., He, S., Li, Y., Ge, L., Lou, S., & Zeng, Z. (2023) · IEEE Transactions on Intelligent Vehicles

Electric Vehicles and InfrastructureEnergy Load and Power Forecasting

Cited by 132

GST-memristor-based online learning neural networks

Xiao, S., Xie, X., Wen, S., Zeng, Z., Huang, T., & Jiang, J. (2018) · Neurocomputing

Advanced Memory and Neural ComputingNeural Networks and Applications

Cited by 45

Cross-modal multiscale multi-instance learning for long-term ECG classification

Chen, L., Lian, C., Zeng, Z., Xu, B., & Su, Y. (2023) · Information Sciences

ECG Monitoring and AnalysisCardiac electrophysiology and arrhythmias

Cited by 23

Multimodal Representations Learning Based on Mutual Information Maximization and Minimization and Identity Embedding for Multimodal Sentiment Analysis

Zheng, J., Zhang, S., Wang, X., & Zeng, Z. (2022) · arXiv

Sentiment Analysis and Opinion MiningMultimodal Machine Learning Applications

Cited by 6