Qingheng Zhang

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 59 citations into it; #30,951 of 35,345 by trust here, #25,040 by citations
• Management Science and Operations Research — 25 citations into it; #10,495 of 11,946 by trust here, #6,888 by citations

Whom Qingheng Zhang trusts overall

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

1. Geoffrey E. Hinton
2. Yankai Lin
3. Yoshua Bengio
4. Diederik P. Kingma
5. Thomas Kipf
6. Maximilian Nickel
7. Yann LeCun
8. Antoine Bordes
9. Alex Krizhevsky
10. Max Welling

Who trusts Qingheng Zhang overall

1. Zequn Sun

Papers from Qingheng Zhang's perspective

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

Their papers

• Bootstrapping Entity Alignment with Knowledge Graph Embedding (2018) — 597 citations
• A benchmarking study of embedding-based entity alignment for knowledge graphs (2020) — 313 citations