Juntang Zhuang
Artificial Intelligence · 2018–2020
A researcher in the Science corpus: 3 papers; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 36 citations into it
- Optimization & Training — 35 citations into it
- Computer Vision and Pattern Recognition — 27 citations into it
- Generative Models — 8 citations into it
Whom Juntang Zhuang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Alex Graves
- Kaiming He
- Ilya Sutskever
- Ian J. Goodfellow
- James Martens
- Matthew D. Zeiler
Who trusts Juntang Zhuang overall
Papers from Juntang Zhuang's perspective
Ordered by how strongly the researchers Juntang Zhuang 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients (2020) — 669 citations
- BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis (2020) — 802 citations
- Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI (2018) — 79 citations