Yicheng Wang
Artificial Intelligence · 2013–2018
A researcher in the Science corpus: 4 papers; trusts 155 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 58 citations into it; #9,110 of 35,345 by trust here, #11,072 by citations
- Natural Language Processing — 55 citations into it; #1,855 of 5,688 by trust here, #2,407 by citations
- Computer Vision and Pattern Recognition — 27 citations into it; #11,783 of 21,575 by trust here, #11,286 by citations
- Evaluation & Benchmarks — 18 citations into it
- Safety, Robustness & Interpretability — 5 citations into it; #970 of 2,251 by trust here, #1,975 by citations
Whom Yicheng Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Dekang Lin
- Robin Jia
- Ilya Sutskever
- Alex Krizhevsky
- Percy Liang
- Christopher D. Manning
- Pranav Rajpurkar
Who trusts Yicheng Wang overall
- Viktor Schlegel
- Mohit Bansal
- Yichen Jiang
- Adyasha Maharana
- W. Zhang
- Goran Nenadic
- Riza Theresa Batista-Navarro
- Quan.Z Sheng
- Adina Williams
- Nicola De Cao
Papers from Yicheng Wang's perspective
Ordered by how strongly the researchers Yicheng Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Commonsense for Generative Multi-Hop Question Answering Tasks (2018) — 191 citations
- Analyzing Compositionality-Sensitivity of NLI Models (2018) — 83 citations
- Robust Machine Comprehension Models via Adversarial Training (2018) — 125 citations
- Topological insulator as an optical modulator for pulsed solid‐state lasers (2013) — 208 citations