Qiang Cheng

Artificial Intelligence · with Gong · 2018

A researcher in the Science corpus: 1 paper; trusts 45 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Graph Learning — 19 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Model Architectures — 8 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Statistical and Nonlinear Physics — 8 citations into it
• Optimization & Training — 5 citations into it

Whom Qiang Cheng trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Shaosheng Cao
4. Yann LeCun
5. Yoshua Bengio
6. Alex Krizhevsky
7. Galileo Namata
8. Prithviraj Sen
9. Sepp Hochreiter
10. Jimmy Ba

Who trusts Qiang Cheng overall

1. Chengxuan Ying
2. Saeed Rahmani
3. Chenhao Niu
4. Yanjun Huang
5. Tianle Cai

Papers from Qiang Cheng's perspective

Ordered by how strongly the researchers Qiang 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Exploiting Edge Features in Graph Neural Networks. (2018) — 329 citations