Jun-feng Xie

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 61 citations into it
• Model Architectures — 5 citations into it

Whom Jun-feng Xie trusts overall

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

1. Anthony Dewayne Hunt
2. Teuvo Kohonen
3. Miroslav Kubat
4. S. Kotsiantis
5. Gary G. Yen
6. Pavel Mach
7. Asaph Azaria
8. Ariel Ekblaw
9. Yong Li
10. Arti Patle

Who trusts Jun-feng Xie overall

1. Mohammad Jahanbakht
2. JingJing Wang
3. Amr Adel

Papers from Jun-feng Xie's perspective

Ordered by how strongly the researchers Jun-feng Xie trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. GENERATIVE ADVERSARIAL NETS
5. Bitcoin: A Peer-to-Peer Electronic Cash System
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. OpenFlow: enabling innovation in campus networks (CCRV)
9. Deep Learning
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• A Survey of Blockchain Technology Applied to Smart Cities: Research Issues and Challenges (2019) — 614 citations
• A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges (2019) — 524 citations