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Miles Qi Li
Miles Qi Li
Post-Doctoral Researcher, McGill University
Verified email at mcgill.ca
Title
Cited by
Cited by
Year
Discourse parsing with attention-based hierarchical neural networks
Q Li, T Li, B Chang
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
1142016
Malware classification and composition analysis: A survey of recent developments
A Abusitta, MQ Li, BCM Fung
Journal of Information Security and Applications 59, 102828, 2021
692021
I-MAD: Interpretable malware detector using galaxy transformer
MQ Li, BCM Fung, P Charland, SHH Ding
Computers & Security 108, 102371, 2021
35*2021
Learning word sense embeddings from word sense definitions
Q Li, T Li, B Chang
Natural Language Understanding and Intelligent Applications: 5th CCF …, 2016
13*2016
Multi-task learning for gender and age prediction on Chinese microblog
L Wang, Q Li, X Chen, S Li
Natural Language Understanding and Intelligent Applications: 5th CCF …, 2016
82016
On the effectiveness of interpretable feedforward neural network
MQ Li, BCM Fung, A Abusitta
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
52022
DyAdvDefender: An instance-based online machine learning model for perturbation-trial-based black-box adversarial defense
MQ Li, BCM Fung, P Charland
Information Sciences 601, 357-373, 2022
52022
基于外部记忆单元和语义角色知识的文本复述判别模型
李天时, 李琦, 王文辉, 常宝宝
32017
Improving chinese semantic role labeling with english proposition bank
T Li, Q Li, BB Chang
Chinese Computational Linguistics and Natural Language Processing Based on …, 2016
32016
A Novel and Dedicated Machine Learning Model for Malware Classification
MQ Li, BCM Fung, P Charland, SHH Ding
Proceedings of the 17th International Conference on Software Technologies …, 2021
22021
VDGraph2Vec: Vulnerability Detection in Assembly Code using Message Passing Neural Networks
A Diwan, MQ Li, BCM Fung
2022 21st IEEE International Conference on Machine Learning and Applications …, 2022
12022
A Novel Deep Multi-head Attentive Vulnerable Line Detector
MQ Li, BCM Fung, A Diwan
Procedia Computer Science 222, 35-44, 2023
2023
Interpretable Malware Classification based on Functional Analysis
MQ Li, BCM Fung
Proceedings of the 18th International Conference on Software Technologies …, 2022
2022
Interpretable Machine Learning for Malware Detection and Adversarial Defense
MQ Li
McGill University (Canada), 2022
2022
A Novel Neural Network-Based Malware Severity Classification System
MQ Li, BCM Fung
International Conference on Software Technologies, 218-232, 2021
2021
AI-powered assembly code analytics for discerning malware intent
M Li, A Diwan, A Abusitta, B Fung
Canada. Defense Research and Development, 2021
2021
Survey on Explainable Ai: Techniques, Challenges and Open Issues
A Abusitta, MQ Li, B Fung
Challenges and Open Issues, 0
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Articles 1–17