Lianyang Ma
Computer Vision and Pattern Recognition · 2015–2019
A researcher in the Science corpus: 3 papers; trusts 576 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 379 citations into it; #17,986 of 21,575 by trust here, #4,726 by citations
- Artificial Intelligence — 242 citations into it
- Optimization & Training — 49 citations into it
- Biomedical Engineering — 34 citations into it
- Human-Computer Interaction — 26 citations into it
- Natural Language Processing — 26 citations into it
- Representation & Self-Supervised Learning — 24 citations into it
Whom Lianyang Ma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Yann LeCun
- Alex Krizhevsky
- Kaiming He
- Diederik P. Kingma
- Karen Simonyan
- Ilya Sutskever
- Ross B. Girshick
- Christian Szegedy
Who trusts Lianyang Ma overall
Papers from Lianyang Ma's perspective
Ordered by how strongly the researchers Lianyang Ma 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Recent advances in convolutional neural networks (2015) — 6,013 citations
- Early Action Prediction by Soft Regression (2019) — 117 citations
- Real-Time RGB-D Activity Prediction by Soft Regression (2016) — 93 citations