Chengming Wang

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 74 citations into it
• Management Science and Operations Research — 29 citations into it
• Graph Learning — 24 citations into it
• Representation & Self-Supervised Learning — 14 citations into it

Whom Chengming Wang trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Kaiming He
4. Thomas Kipf
5. Zequn Sun
6. Diederik P. Kingma
7. Max Welling
8. Antoine Bordes
9. Xavier Glorot
10. Alex Krizhevsky

Papers from Chengming Wang's perspective

Ordered by how strongly the researchers Chengming 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• A benchmarking study of embedding-based entity alignment for knowledge graphs (2020) — 313 citations
• Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation (2019) — 391 citations