CV

Education

• B.S. in Physics, Peking University, 2014
• M.S. in Computer Software and Theory, Peking University, 2017
• Ph.D in Computer Science, McGill University, 2022

Work experience

Postdoctoral researcher at School of Information Studies, McGill University from 2022.09 to 2024.11, and 2025.10 - present.

Skills

• Python
  • Pytorch
• Java

Publications

Discourse Parsing with Attention-based Hierarchical Neural Networks

Qi Li, Tianshi Li, and Baobao Chang. "Discourse Parsing with Attention-based Hierarchical Neural Networks." EMNLP. 2016.

Malware classification and composition analysis: A survey of recent developments

Abusitta, Adel, Miles Q. Li, and Benjamin CM Fung. "Malware classification and composition analysis: A survey of recent developments." Journal of Information Security and Applications 59 (2021): 102828.

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

Li, Miles Q., Benjamin CM Fung, and Philippe Charland. "DyAdvDefender: An instance-based online machine learning model for perturbation-trial-based black-box adversarial defense." Information Sciences (2022).

On the Effectiveness of Interpretable Feedforward Neural Network

Li, M. Q., Fung, B. C. M., & Abusitta, A. On the Effectiveness of Interpretable Feedforward Neural Network. In Proceedings of the International Conference on Joint Conference on Neural Networks (IJCNN), pages 1-8, Padova, Italy: IEEE, July 2022.

I-MAD: Interpretable malware detector using Galaxy Transformer

Miles Q. Li, Benjamin CM Fung, Philippe Charland, and Steven HH Ding. "I-MAD: Interpretable malware detector using Galaxy Transformer." Computers & Security 108 (2021): 102371.

Survey on Explainable AI: Techniques, challenges and open issues

Abusitta, Adel, Miles Q. Li, and Benjamin CM Fung. "Survey on Explainable AI: Techniques, challenges and open issues." Expert Systems with Applications (2024): 124710.

Training Dynamics of a 1.7B LLaMa Model: A Data-Efficient Approach

Miles Q. Li, Benjamin CM Fung, and Shih-Chia Huang. Training Dynamics of a 1.7B LLaMa Model: A Data-Efficient Approach. In Proceedings of the International Conference on Joint Conference on Neural Networks (IJCNN), pages 1-10, Roma, Italy: IEEE, June 2025.

Security Concerns for Large Language Models: A Survey

Miles Q. Li, and Benjamin CM Fung. Security Concerns for Large Language Models: A Survey. Journal of Information Security and Applications 95 (2025): 104284.

Talks

Teaching

Teaching assistant of Java Program Design

Teaching assistant of Computational Linguistics

Teaching assistant of Foundations of Computer Application

Service

• Co-reviewer As an Early Career Researcher for the Journal of Nature Communications

• Reviewer for the Journal of Computer Virology and Hacking Techniques

• Reviewer for the Journal of Cyber Security Technology

• Reviewer for the International Journal of Information Security

• Reviewer for the Journal of Cluster Computing

• Reviewer for the Journal of Pattern Recognition Letters

• Reviewer for the Journal of Big Data

• Reviewer for the journal of AI, Computer Science and Robotics Technology

• Reviewer for the EURASIP Journal on Information Security

• Reviewer for the journal of Artificial Intelligence Review

• Reviewer for the journal of IEEE Access

• Reviewer for the journal of Elsevier Sustainable Cities and Society (SCS)

• Reviewer for the journal of Elsevier Computers \& Security

• Reviewer for the The Journal of Supercomputing

• Member/Reviewer of Program Committee for the 28th Conference on Artificial Intelligence and Statistics (AISTATS 2025) (Best Reviewer)

• Member/Reviewer of Program Committee for the International Joint Conference on Neural Networks (IJCNN 2024)

• Member/Reviewer of Program Committee for the International Joint Conference on Neural Networks (IJCNN 2023)

• Member/Reviewer of Program Committee for the 26th Conference on Artificial Intelligence and Statistics (AISTATS 2023)

• Member/Reviewer of Program Committee for the 25th Conference on Artificial Intelligence and Statistics (AISTATS 2022)

• Secondary reviewer for IEEE International Conference on Data Mining 2021 (ICDM 2021)

• Secondary reviewer for The 29th ACM International Conference on Information and Knowledge Management (CIKM 2020)

• Secondary reviewer for The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-20)

• Secondary reviewer for IEEE International Conference on Data Mining 2019 (ICDM 2019)

• Review Assistant of the Conference the International Joint Conference on Artificial Intelligence 2019 (IJCAI 2019)

• Member/Reviewer of Program Committee for the Conference on Empirical Methods in Natural Language Processing (EMNLP 2018)

• Member/Reviewer of Program Committee for the SIGNLL Conference on Computational Natural Language Learning (CoNLL 2017)

• Member/Reviewer of Program Committee for the Conference on Empirical Methods in Natural Language Processing (EMNLP 2017)

• Secondary reviewer for The 27th ACM International Conference on Information and Knowledge Management (CIKM 2018)

• Secondary reviewer for IEEE International Conference on Data Mining 2018 (ICDM 2018)

• Secondary reviewer for The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18)

• Secondary reviewer for SIAM International Conference on Data Mining (SDM-18)

• Secondary reviewer for The 26th ACM International Conference on Information and Knowledge Management (CIKM 2017)

• Secondary reviewer for China Conference on Knowledge Graph and Semantic Computing (CCKS 2017)

• Secondary reviewer for International Conference on Computer Processing of Oriental Languages (ICCPOL 2016)

Leadership

• 2012.9-2013.7： President of Open-source Software Association, Peking University