Sicheng Wang

Artificial Intelligence · with Ding · 2020

A researcher in the Science corpus: 1 paper; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it
• Computer Vision and Pattern Recognition — 26 citations into it
• Natural Language Processing — 24 citations into it
• Evaluation & Benchmarks — 12 citations into it
• Model Architectures — 6 citations into it

Whom Sicheng Wang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Yoshua Bengio
5. Alex Krizhevsky
6. Jimmy Ba
7. Diederik P. Kingma
8. Ross B. Girshick
9. Yann LeCun
10. Oriol Vinyals

Who trusts Sicheng Wang overall

1. Gautier Izacard
2. Shuyang Cao
3. Amrita Bhattacharjee
4. Katikapalli Subramanyam Kalyan

Papers from Sicheng Wang's perspective

Ordered by how strongly the researchers Sicheng Wang 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• CERT: Contrastive Self-supervised Learning for Language Understanding (2020) — 379 citations