Jinyang Gao
Artificial Intelligence · 2015–2022
A researcher in the Science corpus: 4 papers; trusts 47 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 78 citations into it; #28,028 of 35,345 by trust here, #21,878 by citations
- Computer Vision and Pattern Recognition — 31 citations into it
- Information Systems — 25 citations into it
- Optimization & Training — 23 citations into it
- Management Science and Operations Research — 14 citations into it
- Computational Mechanics — 5 citations into it
Whom Jinyang Gao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Dimitri P. Bertsekas
- Yuhai Wu
- Ilya Sutskever
- Yoshua Bengio
- Diederik P. Kingma
- Kaiming He
- Mu Li
- Yann LeCun
Who trusts Jinyang Gao overall
Papers from Jinyang Gao's perspective
Ordered by how strongly the researchers Jinyang Gao trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Active Sampler: Light-weight Accelerator for Complex Data Analytics at Scale (2015) — 18 citations
- Contrastive Learning for Sequential Recommendation (2022) — 559 citations
- Rafiki: Machine Learning as an Analytics Service System (2018) — 127 citations
- Capturing Feature-Level Irregularity in Disease Progression Modeling (2017) — 34 citations