Pan Li

Pan Li
Queen Mary, University of London | QMUL

Doctor of Engineering

About

10
Publications
9,641
Reads
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310
Citations
Introduction
Skills and Expertise
Education
September 2019 - September 2023
Queen Mary, University of London
Field of study
  • Computer vision

Publications

Publications (10)
Conference Paper
Full-text available
Machine learning classifiers’ capability is largely dependent on the scale of available training data and limited by the model overfitting in data-scarce learning tasks. To address this problem, this work proposes a novel Meta Functional Learning (MFL) by meta-learning a generalisable functional model from data-rich tasks whilst simultaneously regu...
Article
Full-text available
Extreme learning machine (ELM) is emerging as a powerful machine learning method in a variety of application scenarios due to its promising advantages of high accuracy, fast learning speed and easy of implementation. However, how to select the optimal hidden layer of ELM is still an open question in the ELM community. Basically, the number of hidde...
Chapter
Full-text available
Recently, machine learning-based wireless intrusion detection systems (IDSs) have been demonstrated to have high detection accuracy in malicious traffic detection. However, many researchers argue that a variety of attacks are significantly challenging the security of machine learning techniques themselves. In this paper, we study two different type...
Article
Full-text available
In big data era, machine learning is one of fundamental techniques in intrusion detection systems (IDSs). However, practical IDSs generally update their decision module by feeding new data then retraining learning models in a periodical way. Hence, some attacks that comprise the data for training or testing classifiers significantly challenge the d...
Article
Full-text available
Machine learning is one of the most prevailing techniques in Computer Science, and it has been widely applied in image processing, natural language processing, pattern recognition, cybersecurity and other fields. Regardless of successful applications of machine learning algorithms in many scenarios, e.g., facial recognition, malware detection, auto...
Article
Full-text available
Machine learning has already become one of the most widely used techniques in the field of computer science, and it has been widely applied in image processing, natural language processing, network security and other fields. However, there has been many security threats that need to be overcome on current machine learning algorithms and training da...

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