Dong Guo
Artificial Intelligence · 2014–2018
A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 35 citations into it
- Computer Vision and Pattern Recognition — 22 citations into it
- Statistical and Nonlinear Physics — 17 citations into it
- Optimization & Training — 10 citations into it
- Computational Mechanics — 8 citations into it
- Computational Theory and Mathematics — 7 citations into it
- Signal Processing — 6 citations into it
- Information Systems — 5 citations into it
Whom Dong Guo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yurii E. Nesterov
- Paul Tseng
- Chih-Jen Lin
- Tom Fawcett
- J´erˆome Kunegis
- Geoffrey E. Hinton
- Alex Krizhevsky
- Tom Brosch
- Yoshua Bengio
- Purnamrita Sarkar
Who trusts Dong Guo overall
Papers from Dong Guo's perspective
Ordered by how strongly the researchers Dong Guo trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Learning Multiple Layers of Features from Tiny Images
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- This PDF file includes: Materials and Methods
Their papers
- Large-Scale Unsupervised Deep Representation Learning for Brain Structure (2018) — 5 citations
- How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets (2014) — 66 citations
- Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks (2014) — 210 citations