- RFID technology advancements
- Antenna Design and Analysis
- Machine Learning in Bioinformatics
- Computational Drug Discovery Methods
- Monoclonal and Polyclonal Antibodies Research
- Non-Destructive Testing Techniques
- Indoor and Outdoor Localization Technologies
- Nuclear Physics and Applications
- Glycosylation and Glycoproteins Research
- Medical Imaging Techniques and Applications
- Physical Unclonable Functions (PUFs) and Hardware Security
- Advanced Welding Techniques Analysis
- Welding Techniques and Residual Stresses
- Advanced Antenna and Metasurface Technologies
- Security and Verification in Computing
- Adversarial Robustness in Machine Learning
- Radiation Detection and Scintillator Technologies
- Protein purification and stability
Huazhong University of Science and Technology
2022-2025
In automobile manufacturing, the quality assessment of resistance spot welding (RSW) plays a decisive role in and safety products. Recently, it has become very popular to use machine learning evaluate nuggets. However, there are two obstacles: data imbalance caused by limited defective samples, shortage due expensive time labor costs. This paper proposes novel method. On one hand, self-paced ensemble (SPE) algorithm for binary classification is improved handle imbalanced multi-class levels....
Abstract Motivation Predicting the binding affinity between antigens and antibodies accurately is crucial for assessing therapeutic antibody effectiveness enhancing engineering vaccine design. Traditional machine learning methods have been widely used this purpose, relying on interfacial amino acids’ structural information. Nevertheless, due to technological limitations high costs of acquiring data, structures most are unknown, sequence-based gained attention. Existing approaches designed...
Robotic manipulation refers to the autonomous handling and interaction of robots with objects using advanced techniques in robotics artificial intelligence. The advent powerful tools such as large language models (LLMs) vision-language (LVLMs) has significantly enhanced capabilities these environmental perception decision-making. However, introduction intelligent agents led security threats jailbreak attacks adversarial attacks. In this research, we take a further step by proposing backdoor...
Drug-target interaction is fundamental in understanding how drugs affect biological systems, and accurately predicting drug-target affinity (DTA) vital for drug discovery. Recently, deep learning methods have emerged as a significant approach estimating the binding strength between target proteins. However, existing simply utilize drug's local information from molecular topology rather than global information. Additionally, features of proteins are usually fused with simple concatenation...
UHF RFID tags for industrial applications requires to be metal-mountable, small and having long operational/reading range. Most tag design approaches have compromise between size operational range or bandwidth. In this paper, an aperture coupled cylindrical dielectric resonator antenna(DRA) miniaturized metal-mountable has been presented. A wideband, is realized by firstly utilizing the form factor of a HE <inf xmlns:mml="http://www.w3.org/1998/Math/MathML"...
This article presents, for the first time, a custom-built passive RFID tag with large ferrite-core antenna underground detection. Based on equivalent circuit of tag, parameters affecting sensitivity are studied. Then, through theoretical analysis interactions between these and sensitivity, design ferrite core coil winding given in detail. Finally, working distances two fabricated ferritecore antennas measured different reader simulated environment, results show that detection depth more than...