Shenyang Huang
Shenyang Huang
McGill University, Montreal Institute for Learning Algorithms (Mila)
Verified email at - Homepage
Cited by
Cited by
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
Towards better evaluation for dynamic link prediction
F Poursafaei, S Huang, K Pelrine, R Rabbany
Advances in Neural Information Processing Systems 35, 32928-32941, 2022
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
Neural architecture search for class-incremental learning
S Huang, V François-Lavet, G Rabusseau
arXiv preprint arXiv:1909.06686, 2019
Temporal graph benchmark for machine learning on temporal graphs
S Huang, F Poursafaei, J Danovitch, M Fey, W Hu, E Rossi, J Leskovec, ...
arXiv preprint arXiv:2307.01026, 2023
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
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
GPS++: Reviving the Art of Message Passing for Molecular Property Prediction
D Masters, J Dean, K Klaser, Z Li, S Maddrell-Mander, A Sanders, H Helal, ...
arXiv preprint arXiv:2302.02947, 2023
Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations
L Jiang, C Zhang, F Poursafaei, S Huang
arXiv preprint arXiv:2308.07883, 2023
Fast and Attributed Change Detection on Dynamic Graphs with Density of States
S Huang, J Danovitch, G Rabusseau, R Rabbany
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 15-26, 2023
Few Shot Image Generation via Implicit Autoencoding of Support Sets
A Huang, KC Wang, G Rabusseau, A Makhzani
Fifth Workshop on Meta-Learning at the Conference on Neural Information …, 2021
Understanding Capacity Saturation in Incremental Learning.
S Huang, V Francois-Lavet, G Rabusseau
Canadian Conference on AI, 2021
Understanding Opinions Towards Climate Change on Social Media
Y Pupneja, J Zou, S Lévy, S Huang
arXiv preprint arXiv:2312.01217, 2023
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
D Beaini, S Huang, JA Cunha, G Moisescu-Pareja, O Dymov, ...
arXiv preprint arXiv:2310.04292, 2023
Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs
S Huang, S Coulombe, Y Hitti, R Rabbany, G Rabusseau
arXiv preprint arXiv:2302.01204, 2023
Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs (preprint)
S Huang, S Coulombe, Y Hitti, R Rabbany, G Rabusseau
Scalable Change Point Detection for Dynamic Graphs
RR Shenyang Huang, Guillaume Rabusseau, 2021
Exploring Continual Learning Using Incremental Architecture Search
S Huang, V François-Lavet, G Rabusseau, J Pineau
Reproducibility of “Three Factors Influencing Minima in SGD”
S Huang, K Kutschera, S Perry-Fagant
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