Mingxiao An
Artificial Intelligence · 2019
A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 53 citations into it; #19,062 of 35,345 by trust here, #19,873 by citations
- Information Systems — 51 citations into it; #3,918 of 8,771 by trust here, #4,012 by citations
- Computer Vision and Pattern Recognition — 22 citations into it
- Recommender Systems — 20 citations into it
- Management Science and Operations Research — 12 citations into it
- Natural Language Processing — 8 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
- Optimization & Training — 6 citations into it
Whom Mingxiao An trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoon Kim
- Steffen Rendle
- Yoshua Bengio
- Alex Krizhevsky
- Sepp Hochreiter
- Jimmy Ba
- Nitish Srivastava
- Ilya Sutskever
Who trusts Mingxiao An overall
Papers from Mingxiao An's perspective
Ordered by how strongly the researchers Mingxiao An 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
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Neural News Recommendation with Long- and Short-term User Representations (2019) — 326 citations
- NPA: Neural News Recommendation with Personalized Attention (2019) — 367 citations
- Neural News Recommendation with Attentive Multi-View Learning (2019) — 337 citations