Tiansheng Yao

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 50 citations into it
• Computer Vision and Pattern Recognition — 35 citations into it

Whom Tiansheng Yao trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Ting-Li Chen
4. Alex Krizhevsky
5. Jacob Devlin
6. Yoshua Bengio
7. Diederik P. Kingma
8. Ilya Sutskever
9. Yann LeCun
10. Ross B. Girshick

Who trusts Tiansheng Yao overall

1. Junliang Yu
2. Yongjun Chen
3. Lianghao Xia
4. Hongzhi Yin
5. Xin Xia

Papers from Tiansheng Yao's perspective

Ordered by how strongly the researchers Tiansheng Yao 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Self-supervised Learning for Large-scale Item Recommendations (2020) — 329 citations
• Learning to Embed Categorical Features without Embedding Tables for Recommendation (2020) — 88 citations