Liang Ge

with Gao · 2014

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Liang Ge trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Christopher K. I. Williams
2. Jianbo Shi
3. Peilin Zhao
4. Nitesh V. Chawla
5. Jing Gao

Who trusts Liang Ge overall

1. Gabriella Csurka

Papers from Liang Ge's perspective

Ordered by how strongly the researchers Liang Ge trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Normalized cuts and image segmentation

Their papers

• On handling negative transfer and imbalanced distributions in multiple source transfer learning (2014) — 131 citations