Dong Xuan
Artificial Intelligence · 2006–2019
A researcher in the Science corpus: 4 papers; trusts 290 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 63 citations into it
- Computer Vision and Pattern Recognition — 58 citations into it
- Multimodal Learning — 23 citations into it
- Natural Language Processing — 20 citations into it
- Optimization & Training — 17 citations into it
- Privacy & Security — 9 citations into it
- Management Science and Operations Research — 5 citations into it
- Model Architectures — 5 citations into it
Whom Dong Xuan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- L. Eon Bottou
- Geoffrey E. Hinton
- Diederik P. Kingma
- Ross B. Girshick
- Ilya Sutskever
- Yoshua Bengio
- Yann LeCun
- Shaoqing Ren
Papers from Dong Xuan's perspective
Ordered by how strongly the researchers Dong Xuan 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
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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
- An Empirical Study on Leveraging Scene Graphs for Visual Question Answering (2019) — 58 citations
- On Deploying Wireless Sensors to Achieve Both Coverage and Connectivity (2006) — 608 citations
- Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices (2015) — 65 citations
- Mobile phone based drunk driving detection (2010) — 375 citations