Area of research
Control and Systems Engineering · Mechanical Engineering
Research interest
Research interests include Machine Fault Diagnosis Techniques, Non-Destructive Testing Techniques, Advanced Image Fusion Techniques, and Monetary Policy and Economic Impact.
Immune checkpoint inhibitors plus chemotherapy in the first-line treatment of young unresectable gastric cancer patients: a multicentre real-world study
Continuation of serplulimab-based therapy beyond first progression in advanced gastric/gastroesophageal junction (G/GEJ) cancer: Preliminary results from the SCAFIGC trial.
High-precision frequency measurement approach of diminishing multi-source errors for UAV-based aeromagnetic survey
Prior knowledge-embedded meta-transfer learning for few-shot fault diagnosis under variable operating conditions
A cyclostationarity-based wear monitoring framework of spur gears in intelligent manufacturing systems
Effect of clay on methane hydrate formation and dissociation in sediment: Implications for energy recovery from clayey-sandy hydrate reservoirs
Multivariate multiscale dispersion Lempel–Ziv complexity for fault diagnosis of machinery with multiple channels
Cumulative spectrum distribution entropy for rotating machinery fault diagnosis
Efficacy and safety of zimberelimab (GLS-010) monotherapy in patients with recurrent or metastatic cervical cancer: a multicenter, single-arm, phase II study
Magnetic Anomaly Detection Based on Energy-Concentrated Discrete Cosine Wavelet Transform
Synergistic Hankel Structured Low-Rank Approximation With Total Variation Regularization for Complex Magnetic Anomaly Detection
Digital twin-driven intelligent assessment of gear surface degradation
Anomaly detection of complex magnetic measurements using structured Hankel low-rank modeling and singular value decomposition
Safety and effectiveness of apatinib in elderly patients with metastatic gastric cancer: a sub-analysis from the large-scale, prospective observational study of apatinib for gastric cancer treatment in a real-world clinical setting (AHEAD-G202)
Active Detection of Small UXO-Like Targets Through Measuring Electromagnetic Responses With a Magneto-Inductive Sensor Array
Temporal-Spatio Graph Based Spectrum Analysis for Bearing Fault Detection and Diagnosis
Safety and effectiveness of apatinib in patients with previously treated metastatic gastric cancer: a sub-analysis from the real-world study of apatinib for gastric cancer treatment (AHEAD-G202).
PubMed 2020cited by 15position: middle
Feedback Network for Image Super-Resolution
An Adaptive Pansharpening Method by Using Weighted Least Squares Filter