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Shenyang Huang

Preferred name: Andy
Master of Science, School of Computer Science, McGill University
Graduate Student, Mila - Quebec Artificial Intelligence Institute
CV: Shenyang Huang


I am a master student at Mila and McGill University , supervised by Professor Reihaneh Rabbany and Professor Guillaume Rabusseau . Previously I obtained an Honours in Computer Science from McGill University in 2019. My current research focus on anomaly detection in graph data using tensor factorization techniques. I have also worked on integrating autoML techniques into continual learning settings.


  • Alletto, S., Huang, S., François-Lavet, V., Nakata, Y., & Rabusseau, G. RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning. AAAI 2020 Meta-Eval Workshop (Oral presentation) [Paper]
  • Huang, S., François-Lavet, V., & Rabusseau, G. (2019). Neural Architecture Search for Class-incremental Learning [Paper]
  • Huang, S., François-Lavet, V., Rabusseau, G. & Pineau, J. Exploring Continual Learning Using Incremental Architecture Search NeuIPS Continual Learning Workshop 2018. [Paper]