Changyang She

Computer Networks and Communications · 2017–2021

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

Subfields

• Computer Networks and Communications — 34 citations into it
• Reinforcement Learning — 12 citations into it

Whom Changyang She trusts overall

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

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

Who trusts Changyang She overall

1. Sumudu Samarakoon
2. Petar Popovski
3. Khaled Ben Letaief
4. Dinh C. Nguyen
5. Medhi Bennis
6. Č. Stefanović

Papers from Changyang She's perspective

Ordered by how strongly the researchers Changyang She 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. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Radio Resource Management for Ultra-Reliable and Low-Latency Communications (2017) — 306 citations
• A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning (2021) — 335 citations