Tianming Du

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 41 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it; #9,270 of 21,575 by trust here, #12,689 by citations
• Information Systems — 5 citations into it; #2,719 of 8,771 by trust here, #3,761 by citations
• Optimization & Training — 5 citations into it

Whom Tianming Du trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Ilya Sutskever
4. Hugo Larochelle
5. Alex Krizhevsky
6. Leo Breiman
7. Kunihiko Fukushima
8. Yann LeCun
9. Li Deng
10. Ruslan Salakhutdinov

Who trusts Tianming Du overall

1. Xiangnan He
2. Konrad Zolna
3. Jun Wang
4. Tongwen Huang
5. Bin Liu
6. Le Wu
7. Weinan Zhang
8. Jianxun Lian
9. Weiping Song
10. Chaochao Chen

Papers from Tianming Du's perspective

Ordered by how strongly the researchers Tianming Du 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deep Learning over Multi-field Categorical Data - - A Case Study on User Response Prediction (2016) — 540 citations