Ya Su
Artificial Intelligence · 2009–2021
A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 34 citations into it
- Generative Models — 9 citations into it
- Probabilistic & Bayesian Methods — 9 citations into it
- Statistical and Nonlinear Physics — 5 citations into it
Whom Ya Su trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Danilo Jimenez Rezende
- Junyoung Chung
- Max Welling
- Terrence J. Sejnowski
- Yoshua Bengio
- Geoffrey E. Hinton
- Daehyung Park
- Shakir Mohamed
- Marco Fraccaro
Who trusts Ya Su overall
- Donghao Luo
- Zhijian Xu
- Yiyuan Yang
- Sebastian Schmidl
- Ahmed Abdulaal
- Shreshth Tuli
- Lifeng Shen
- Kukjin Choi
- Hongzuo Xu
- Haixu Wu
Papers from Ya Su's perspective
Ordered by how strongly the researchers Ya Su trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding (2021) — 497 citations
- Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network (2019) — 1,893 citations
- Departure headways at signalized intersections: A log-normal distribution model approach (2009) — 127 citations