Ming Wang

Artificial Intelligence · with Li · 2023

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Information Systems — 18 citations into it
• Management Science and Operations Research — 7 citations into it

Whom Ming Wang trusts overall

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

1. Julian McAuley
2. Geoffrey E. Hinton
3. Jimmy Ba
4. Yoshua Bengio
5. Diederik P. Kingma
6. Alex Krizhevsky
7. Jiacheng Li
8. Jacob Devlin
9. Dan Hendrycks
10. Ilya Sutskever

Papers from Ming Wang's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
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. Layer Normalization
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Text Is All You Need: Learning Language Representations for Sequential Recommendation (2023) — 383 citations