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Shenyang Huang
Shenyang Huang
McGill University, Montreal Institute for Learning Algorithms (Mila)
Verified email at mail.mcgill.ca - Homepage
Title
Cited by
Cited by
Year
Laplacian change point detection for dynamic graphs
S Huang, Y Hitti, G Rabusseau, R Rabbany
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
102020
Neural architecture search for class-incremental learning
S Huang, V François-Lavet, G Rabusseau
arXiv preprint arXiv:1909.06686, 2019
102019
Incorporating dynamic flight network in SEIR to model mobility between populations
X Ding, S Huang, A Leung, R Rabbany
Applied Network Science 6 (1), 1-24, 2021
72021
Contact graph epidemic modelling of covid-19 for transmission and intervention strategies
A Leung, X Ding, S Huang, R Rabbany
arXiv preprint arXiv:2010.03081, 2020
52020
Randomnet: Towards fully automatic neural architecture design for multimodal learning
S Alletto, S Huang, V Francois-Lavet, Y Nakata, G Rabusseau
arXiv preprint arXiv:2003.01181, 2020
42020
Towards Better Evaluation for Dynamic Link Prediction
F Poursafaei, S Huang, K Pelrine, R Rabbany
arXiv preprint arXiv:2207.10128, 2022
2022
Scalable Change Point Detection for Dynamic Graphs
RR Shenyang Huang, Guillaume Rabusseau
https://oddworkshop.github.io/assets/papers/9.pdf, 2021
2021
Understanding Capacity Saturation in Incremental Learning.
S Huang, V François-Lavet, G Rabusseau
Canadian Conference on AI, 2021
2021
Exploring Continual Learning Using Incremental Architecture Search
S Huang, V François-Lavet, G Rabusseau, J Pineau
2018
Neural Architecture Search for Class-incremental Learning Download PDF
S Huang, V François-Lavet, G Rabusseau
Reproducibility of “Three Factors Influencing Minima in SGD”
S Huang, K Kutschera, S Perry-Fagant
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Articles 1–11