Area of research
Control and Systems Engineering · Molecular Biology
Research interest
Research interests include Gene Regulatory Network Analysis, Fault Detection and Control Systems, Control Systems and Identification, and Distributed Control Multi-Agent Systems.
Flow-consistent identification of governing equations from sparsely sampled measurements
Aerial-Marine Cross-Domain Uncrewed Systems: An Overview of Cyberphysical Coordination Frameworks for Marine Applications
Development of intelligent robots in the wave of embodied intelligence.
A Transfer Learning-Based Method for Personalized State of Health Estimation of Lithium-Ion Batteries
Development and challenges of autonomous electric vertical take-off and landing aircraft
Early warning of atrial fibrillation using deep learning
A Generalized Nyquist-Shannon Sampling Theorem Using the Koopman Operator
The Immense Impact of Reverse Edges on Large Hierarchical Networks
A Quality Prediction and Parameter Optimization Approach for Turbine Blade Multistage Manufacturing
Switched Momentum Dynamics Identification for Robot Collision Detection
Data-Driven Koopman Learning and Prediction of Piezoelectric Tube Scanner Hysteresis
Planning and Motion Control for Underwater Bimanual Soft Manipulator in Underwater Grasping Task
A Sampling Theorem for Exact Identification of Continuous-Time Nonlinear Dynamical Systems
Four-Channel ECG as a Single Source for Early Diagnosis of Cardiac Hypertrophy and Dilation — A Deep Learning Approach
Online Learning Based Shape Control for a Soft Manipulator Based on Spatial Features Feedback
Active Learning-Aided Design of a Flexible Tactile Sensor Array for Recognizing Properties of Deformable Objects
Inferring upstream regulatory genes of FOXP3 in human regulatory T cells from time-series transcriptomic data.
Intelligent Fault Diagnosis With Noisy Labels via Semisupervised Learning on Industrial Time Series
Inverse Power Flow Problem
Noise-Aware Sparse Gaussian Processes and Application to Reliable Industrial Machinery Health Monitoring
A cyclic effect of cAMP and calcium signaling contributes to jujube growth and development
Machine discovery of partial differential equations from spatiotemporal data: A sparse Bayesian learning framework.
Filter-Based Fault Diagnosis and Remaining Useful Life Prediction
Remaining Useful Life Prediction of Industrial Components with Machine Learning Methods
Fault Detection of Networked Multi-rate Systems with Filter-Based Methods
Remaining Useful Life Prediction of Industrial Components with Filter-Based Methods
Conclusions and Future Topics
Filter/Estimator Design of Networked Multi-rate Sampled Systems with Network-Induced Phenomena
Fault Diagnosis of Multi-rate Time-Varying Systems with Filter-Based Methods