Hao Wang

Artificial Intelligence · with Liu · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 77 citations into it
• Natural Language Processing — 24 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Computational Theory and Mathematics — 17 citations into it
• Graph Learning — 15 citations into it
• Representation & Self-Supervised Learning — 10 citations into it

Whom Hao Wang trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Kaiming He
4. Martin Jaggi
5. Diederik P. Kingma
6. Ilya Sutskever
7. Alex Krizhevsky
8. Yann LeCun
9. William L. Hamilton
10. Tomas Mikolov

Papers from Hao Wang's perspective

Ordered by how strongly the researchers Hao Wang 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
9. Et al
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• A survey on large language models for recommendation (2023) — 899 citations
• Motif-based Graph Self-Supervised Learning for Molecular Property Prediction (2021) — 370 citations
• HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem (2021) — 72 citations