Yikang Shen

Artificial Intelligence · with Cheung · 2018

A researcher in the Science corpus: 2 papers; trusts 81 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 65 citations into it; #22,285 of 35,345 by trust here, #12,387 by citations
• Natural Language Processing — 48 citations into it; #5,332 of 5,688 by trust here, #3,754 by citations
• Model Architectures — 23 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it; #14,729 of 21,575 by trust here, #8,612 by citations
• Reinforcement Learning — 8 citations into it
• Optimization & Training — 6 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Yikang Shen trusts overall

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

1. Yoshua Bengio
2. Richard Socher
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Christopher D. Manning
6. J. Urgen Schmidhuber
7. Ronald J. Williams
8. Yann LeCun
9. Ilya Sutskever
10. Alex Krizhevsky

Who trusts Yikang Shen overall

1. Yoon Kim
2. Yanpeng Zhao
3. Freda Shi
4. Zhiyong Wu
5. Yu Wang
6. Yang Liu
7. Andrew Drozdov
8. Yu Wang
9. Jie Hao
10. Yada Pruksachatkun

Papers from Yikang Shen's perspective

Ordered by how strongly the researchers Yikang Shen 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. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• BanditSum: Extractive Summarization as a Contextual Bandit (2018) — 189 citations
• Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks (2018) — 349 citations