A5058013874- Advanced Malware Detection Techniques
- Network Security and Intrusion Detection
- Software Testing and Debugging Techniques
- Advanced Photocatalysis Techniques
- Software System Performance and Reliability
- Internet Traffic Analysis and Secure E-voting
- Particle physics theoretical and experimental studies
- Adversarial Robustness in Machine Learning
- Information and Cyber Security
- Advanced oxidation water treatment
- Software Reliability and Analysis Research
- Radiomics and Machine Learning in Medical Imaging
- Digital and Cyber Forensics
- Sparse and Compressive Sensing Techniques
- Wireless Signal Modulation Classification
- Security in Wireless Sensor Networks
- Cloud Computing and Resource Management
- TiO2 Photocatalysis and Solar Cells
- Software Engineering Research
Singapore Management University
2023-2024
Zhejiang University
2022
With the widespread use of Internet Things (IoT) devices, malware detection has become a hot spot for both academic and industrial communities. Existing approaches can be roughly categorized into network-side host-side. However, existing methods are difficult to capture contextual semantics from cross-source traffic, previous host-side could adversary-perceived expose risks tampering. More importantly, single perspective cannot comprehensively track multi-stage lifecycle IoT malware. In this...
The advanced oxidation process of the photo-Fenton reaction can produce hydroxyl radicals with extremely strong oxidizing properties for efficient and green degradation various chemical microbial pollutants. Herein, we report an approach to fabricating heterogeneous Fenton catalysts β-FeOOH nanorods on porous substrates triggered by mussel-inspired coatings levodopa (3,4-dihydroxy-phenyl-l-alanine, l-DOPA) polyethylenimine (PEI) photocatalytic dyes' sterilization. l-DOPA-based not only...
Continuous game quality assurance is of great importance to satisfy the increasing demands users. To respond issues reported by users timely, com-panies often create and maintain a large number releases, updates, tweaks in short time. Regression testing an essential technique adopted detect regression during evolution software. However, due special characteristics software (e.g., frequent updates long-running tests), traditional techniques are not directly applicable. bridge this gap, paper,...
Recent studies show that deep neural networks are extremely vulnerable, especially for adversarial examples of image classification models. However, the current defense technologies exhibit a series limitations in terms adaptability different attacks, trade-off between clean-instance accuracy and robust one, as well efficiency train time overhead. To tackle these problems, we present novel component, named redundant fully connected layer, which can be combined with existing model backbones...
二维纳米片构建的层状纳滤膜在工业染料和含盐废水的净化处理中显示出广泛的应用前景，但纳米片间松散的层状结构会影响过滤通道的稳定性，导致对盐类的截留效果不理想. 本文以均苯三甲酰氯(TMC)交联单宁酸(TA)官能化的二硫化钼(MoS2)纳米片构建薄层复合纳滤膜，以解决二维材料构建层状纳滤膜的常见问题. 所制备的纳滤膜不仅对荷负电染料(伊文思蓝，分子量960.8)有很高的截留率(>98.5%)，也能很好地选择性分离染料-盐混合溶液(NaCl截留率<15%). 同时，该膜还能在严苛环境中保持优秀的稳定性. 此外，在近红外光照射下，MoS2纳米片显著的光热转换效应赋予薄层复合纳滤膜一定的抗菌能力，使得该膜在实际应用中具有巨大潜力.
Lattice quantum chromodynamics (lattice QCD) is a theory based on chromodynamics, which widely used in strong interaction related calculations. As research method that can give accurate and reliable theoretical results, with the improvement of computer ability, QCD playing an increasingly important role recent years. Distillation numerical to calculate hadron correlation function lattice QCD, improve signal-to-noise ratio calculated physical quantities. approximately compute full propagator...