Shuaiqiang Wang

Artificial Intelligence · with Li · 2016–2023

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 81 citations into it
• Information Systems — 44 citations into it
• Natural Language Processing — 22 citations into it
• Recommender Systems — 10 citations into it

Whom Shuaiqiang Wang trusts overall

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

1. Yoshua Bengio
2. Ruslan Salakhutdinov
3. Geoffrey E. Hinton
4. Tomas Mikolov
5. Diederik P. Kingma
6. Tom Minka
7. Richard Socher
8. Peter D. Turney
9. Alex Krizhevsky
10. Paul Resnick

Papers from Shuaiqiang Wang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. 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. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs (2023) — 443 citations
• Social Collaborative Viewpoint Regression with Explainable Recommendations (2017) — 146 citations
• A survey of serendipity in recommender systems (2016) — 321 citations