RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression Y Gong, G Mori, F Tung International Conference on Machine Learning, 2022 | 30 | 2022 |
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 | 21 | 2018 |
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 | 5 | 2020 |
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 | 2 | 2021 |
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 | | |