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Yu Gong
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Cited by
Year
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
Y Gong, G Mori, F Tung
International Conference on Machine Learning, 2022
292022
Variational selective autoencoder: Learning from partially-observed heterogeneous data
Y Gong, H Hajimirsadeghi, J He, T Durand, G Mori
International Conference on Artificial Intelligence and Statistics, 2377-2385, 2021
22*2021
Variational autoencoders with jointly optimized latent dependency structure
J He, Y Gong, J Marino, G Mori, A Lehrmann
International conference on learning representations, 2018
212018
System and method for machine learning architecture for partially-observed multimodal data
Y Gong, J He, T Durand, M Nawhal, CAO Yanshuai, M Gregory, ...
US Patent App. 16/882,074, 2020
52020
Muse: Feature self-distillation with mutual information and self-information
Y Gong, Y Yu, G Mittal, G Mori, M Chen
British Machine Vision Conference, 2021
22021
Embodied Human Activity Recognition
S Hu, Y Gong, G Mori
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
2024
Artificial neural network for data imbalanced regression and method for training same
Y Gong, T Frederick, G Mori
US Patent App. 18/091,244, 2023
2023
Knowledge balancing self-distillation with adaptive mutual information (ami)
Y Yu, G Mittal, M Chen, Y Gong
US Patent App. 17/503,150, 2023
2023
Learning from Partially-Observed Multimodal Data with Variational Autoencoders
Y Gong, H Hajimirsadeghi, J He, M Nawhal, T Durand, G Mori
2019
Latent structure learning in variational autoencoders
Y Gong
Simon Fraser University, 2019
2019
Variational Latent Dependency Learning
J He, Y Gong, J Marino, G Mori, A Lehrmann
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Articles 1–11