Xinting Yang
Artificial Intelligence · 2017–2020
A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 25 citations into it
- Computer Vision and Pattern Recognition — 21 citations into it
Whom Xinting Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Ross Quinlan
- Yoshua Bengio
- Ross B. Girshick
- Geoffrey E. Hinton
- Corinna Cortes
- Nicolas Le Roux
- Alex Krizhevsky
- J. Urgen Schmidhuber
- Yann LeCun
- L. Eon Bottou
Papers from Xinting Yang's perspective
Ordered by how strongly the researchers Xinting Yang 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Feed intake prediction model for group fish using the MEA-BP neural network in intensive aquaculture (2020) — 76 citations
- Deep learning for smart fish farming: applications, opportunities and challenges (2020) — 322 citations
- Intelligent feeding control methods in aquaculture with an emphasis on fish: a review (2018) — 187 citations
- Mathematical modelling of cooling efficiency of ventilated packaging: Integral performance evaluation (2017) — 56 citations