Miles Qi Li

McGill University

H-index: 5

North America-Canada

About Miles Qi Li

Miles Qi Li, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at McGill University, specializes in the field of Deep Learning, Machine Learning, NLP, Cybersecurity, Data Mining.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Novel Deep Multi-head Attentive Vulnerable Line Detector

On the effectiveness of interpretable feedforward neural network

Interpretable Malware Classification based on Functional Analysis

DyAdvDefender: An instance-based online machine learning model for perturbation-trial-based black-box adversarial defense

Interpretable Machine Learning for Malware Detection and Adversarial Defense

VDGraph2Vec: Vulnerability Detection in Assembly Code using Message Passing Neural Networks

A Novel Neural Network-Based Malware Severity Classification System

A Novel and Dedicated Machine Learning Model for Malware Classification

Miles Qi Li Information

University	McGill University
Position	Ph.D. student of Computer Science
Citations(all)	248
Citations(since 2020)	222
Cited By	88
hIndex(all)	5
hIndex(since 2020)	5
i10Index(all)	4
i10Index(since 2020)	4
Email	Access Email
University Profile Page	McGill University
Google Scholar	View Google Scholar Profile

Miles Qi Li Skills & Research Interests

Deep Learning

Machine Learning

NLP

Cybersecurity

Data Mining

Top articles of Miles Qi Li

Title	Journal	Author(s)	Publication Date
A Novel Deep Multi-head Attentive Vulnerable Line Detector	Procedia Computer Science	Miles Q Li Benjamin CM Fung Ashita Diwan	2023/1/1
On the effectiveness of interpretable feedforward neural network		Miles Q Li Benjamin CM Fung Adel Abusitta	2022/7/18
Interpretable Malware Classification based on Functional Analysis		Miles Q Li Benjamin CM Fung	2022/7
DyAdvDefender: An instance-based online machine learning model for perturbation-trial-based black-box adversarial defense	Information Sciences	Miles Q Li Benjamin CM Fung Philippe Charland	2022/7/1
Interpretable Machine Learning for Malware Detection and Adversarial Defense		Miles Qi Li	2022
VDGraph2Vec: Vulnerability Detection in Assembly Code using Message Passing Neural Networks		Ashita Diwan Miles Q Li Benjamin CM Fung	2022/12/12
A Novel Neural Network-Based Malware Severity Classification System		Miles Q Li Benjamin CM Fung	2021/7/6
A Novel and Dedicated Machine Learning Model for Malware Classification		Miles Q Li Benjamin CM Fung Philippe Charland Steven HH Ding	2021
Malware classification and composition analysis: A survey of recent developments		Adel Abusitta Miles Q Li Benjamin CM Fung	2021/6/1
AI-powered assembly code analytics for discerning malware intent		M Li A Diwan Adel Abusitta B Fung	2021
I-mad: Interpretable malware detector using galaxy transformer	Computers & Security	Miles Q Li Benjamin CM Fung Philippe Charland Steven HH Ding	2021/9/1