Liang Yang
Artificial Intelligence · with Cao · 2015–2019
A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it; #25,764 of 35,345 by trust here, #19,018 by citations
- Computer Vision and Pattern Recognition — 7 citations into it; #15,775 of 21,575 by trust here, #14,151 by citations
Whom Liang Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Liang Yang overall
Papers from Liang Yang's perspective
Ordered by how strongly the researchers Liang Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Deep People Counting in Extremely Dense Crowds (2015) — 384 citations
- Detection of Depression-Related Posts in Reddit Social Media Forum (2019) — 395 citations