Chengjian Sun

Computer Networks and Communications · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 35 citations into it
• Reinforcement Learning — 12 citations into it

Whom Chengjian Sun trusts overall

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

1. Richard S. Sutton
2. Andrea J. Goldsmith
3. Mark Eisen
4. Mor Harchol-Balter
5. Geoffrey E. Hinton
6. Andrew Y. Ng
7. Ronan Collobert
8. Yoshua Bengio
9. Chelsea Finn
10. Andrew Barto

Papers from Chengjian Sun's perspective

Ordered by how strongly the researchers Chengjian Sun 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. Reinforcement Learning: An Introduction
7. Attention is All you Need (Neural Information Processing Systems)
8. Human-level control through deep reinforcement learning
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning (2021) — 335 citations