Yuanhang Zhou

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 50 citations into it
• Natural Language Processing — 25 citations into it
• Information Systems — 24 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Yuanhang Zhou trusts overall

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

1. Yoon Kim
2. Diederik P. Kingma
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Oriol Vinyals
6. Ilya Sutskever
7. Jimmy Ba
8. Alex Krizhevsky
9. Thomas Kipf
10. Max Welling

Papers from Yuanhang Zhou's perspective

Ordered by how strongly the researchers Yuanhang Zhou trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• CRSLab: An Open-Source Toolkit for Building Conversational Recommender System (2021) — 82 citations
• Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion (2020) — 404 citations