Guangquan Cheng

Artificial Intelligence · 2020

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 — 23 citations into it
• Graph Learning — 8 citations into it

Whom Guangquan Cheng trusts overall

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

1. Yoshua Bengio

Papers from Guangquan Cheng's perspective

Ordered by how strongly the researchers Guangquan Cheng 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. 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. Understanding the difficulty of training deep feedforward neural networks
7. Gradient-based learning applied to document recognition
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Translating Embeddings for Modeling Multi-relational Data

Their papers

• Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks (2020) — 366 citations