Area of research
Control and Systems Engineering · Computer Networks and Communications
Research interest
Research focused on Control theory (sociology) and Backstepping, with related work in Computer security, Nonlinear system, Smart grid. Notable publications include 'Cyber Security and Privacy Issues in Smart Grids', 'Simplified Optimized Backstepping Control for a Class of Nonlinear Strict-Feedback Systems With Unknown Dynamic Functions', and 'Authentication and Access Control in the Internet of Things'.
Groupwise Label Enhancement Broad Learning System for Image Classification
TFAGL: A Novel Agent Graph Learning Method Using Time-Frequency EEG for Major Depressive Disorder Detection
Adaptive Incremental Broad Learning System Based on Interval Type-2 Fuzzy Set With Automatic Determination of Hyperparameters
Feature Assessment and Enhanced Vertical Constraint Lidar Odometry and Mapping on Quadruped Robot
VC-SLAM: Optimizing Cloud–Edge VSLAM Transmission Based on Variable-Order Chebyshev-KAN
Scale-Driven Tensor Representation-Based Multiview Clustering
An air combat maneuver decision-making approach using coupled reward in deep reinforcement learning
CC-GBLS: Collaborative-Competitive Representation-Based Graph Regularized Broad Learning System for Osteoporosis Diagnosis
Position Spoofing Attacks on Unmanned Surface Vehicles
Autonomous Trajectory Planning Based on Two-Stage Sampling and Multiple Constraints for Mobile Vehicle
Gusa: Graph-Based Unsupervised Subdomain Adaptation for Cross-Subject EEG Emotion Recognition
GDDN: Graph Domain Disentanglement Network for Generalizable EEG Emotion Recognition
High-Similarity-Pass Attention for Single Image Super-Resolution
CiABL: Completeness-Induced Adaptative Broad Learning for Cross-Subject Emotion Recognition With EEG and Eye Movement Signals
Complemented subspace-based weighted collaborative representation model for imbalanced learning
Dynamic Neural Network Structure: A Review for its Theories and Applications
Clustering Environment Aware Learning for Active Domain Adaptation
Robust Saliency-Aware Distillation for Few-Shot Fine-Grained Visual Recognition
Discriminative elastic-net broad learning systems for visual classification
Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach
A Robust Semi-Supervised Broad Learning System Guided by Ensemble-Based Self-Training
Improved Contraction-Expansion Subspace Ensemble for High-Dimensional Imbalanced Data Classification
IFKMHC: Implicit Fuzzy K-Means Model for High-Dimensional Data Clustering
Robust Incremental Broad Learning System for Data Streams of Uncertain Scale
Neural-network distributed event-triggered consensus tracking control for high-order nonlinear strict-feedback multiagent systems
Robust Variable Projection Algorithm for the Identification of Separable Nonlinear Models
Adaptive neural inverse optimal control with predetermined tracking accuracy for nonlinear MIMO systems
Distributed Neuro-Adaptive Prescribed Performance Consensus Control for Nontriangular Structural Multiagent Systems
Fixed-Time Dynamic Surface-Based Adaptive Composite Control for Nonlinear Systems and Its Application to the RLC Circuit
Dynamic Secure Multi Broad Network for Privacy Preserving of Streaming Data