Jianhua Yin

Artificial Intelligence · with Wang · 2014

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #24,417 of 35,345 by trust here, #30,347 by citations

Whom Jianhua Yin trusts overall

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

1. Radford M. Neal
2. Anil K. Jain
3. David Sculley
4. Andrew McCallum
5. Kamal Nigam
6. David M. Blei
7. Gerard A. Salton
8. Somnath Banerjee
9. Andrew Y. Ng
10. Michael I. Jordan

Who trusts Jianhua Yin overall

1. Dat Quoc Nguyen
2. Jipeng Qiang
3. Chenliang Li
4. Richard Billingsley
5. Qian Zhenyu
6. Haoran Wang
7. Lan Du

Papers from Jianhua Yin's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• A dirichlet multinomial mixture model-based approach for short text clustering (2014) — 581 citations