A5048476370- Adversarial Robustness in Machine Learning
- High Temperature Alloys and Creep
- Advanced Image Fusion Techniques
- Advanced Neural Network Applications
- Additive Manufacturing and 3D Printing Technologies
- Cryptography and Data Security
- Software System Performance and Reliability
- Microstructure and Mechanical Properties of Steels
- Inertial Sensor and Navigation
- Microstructure and mechanical properties
- Plasma and Flow Control in Aerodynamics
- Anomaly Detection Techniques and Applications
- Advanced Research in Systems and Signal Processing
- Aerodynamics and Acoustics in Jet Flows
- Fatigue and fracture mechanics
- Simulation and Modeling Applications
- Titanium Alloys Microstructure and Properties
- Fault Detection and Control Systems
- Bacillus and Francisella bacterial research
- Intermetallics and Advanced Alloy Properties
- Information and Cyber Security
- Welding Techniques and Residual Stresses
- Aerodynamics and Fluid Dynamics Research
- Nuclear Materials and Properties
- Advanced Welding Techniques Analysis
Wuhan University
2024-2025
SR Research (Canada)
2024
Beihang University
2013-2022
Shandong Transportation Research Institute
2015
Role of oxidation and recrystallisation on very-high-cycle fatigue columnar-grained DZ125 single-crystal DD6 superalloys are investigated. With the temperature increase from 850 to 1000 °C for while 1100 DD6, Mode-I cracking tendency increases due internal oxide penetration. Recrystallisation can occur both electrolytically mechanically polished surface conditions, controlled primarily by test duration. Its presence lead strain localisation at subsurface, but does not necessarily determine...
Hierarchical slicing, specifically self-adaptive is a critical step in three-dimensional printing, and an effective method to guarantee printing quality improve efficiency. With geometrical material information taken into account, this study focuses on exploring the characteristics of functionally graded components based finite element method. The layer thickness was calculated outer normal vector, variation gradient resolution material, according that, novel slicing algorithm for created. A...
Deep neural networks (DNNs) are increasingly used in critical applications such as identity authentication and autonomous driving, where robustness against adversarial attacks is crucial. These can exploit minor perturbations to cause significant prediction errors, making it essential enhance the resilience of DNNs. Traditional defense methods often rely on access detailed model information, which raises privacy concerns, owners may be reluctant share data. In contrast, existing black-box...
By adding canards to the chined-body configuration, it's influences on wing rock motion and mechanism at angle of attack 30° have been investigated through a series experiments. Experimental results show that asymmetric flow over especially windward during rolling motion, is influenced strongly by canard as result configuration can be suppressed finally.
A new flow control technique to improve the separation over flap by pulsed microblowing at separated position is discussed in this paper. Firstly, effect of various blowing parameters, including average momentum and pulse frequency, are investigated detail. Secondly, based on comparison between effects continuous blowing, mechanism also discussed. All tests have been conducted low-speed wind tunnel with Reynolds number 0.6×105-1.2×106 deflection angle δe=20° Beijing University Aeronautics...