Kaiyuan Jiang

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #24,413 of 35,345 by trust here, #33,294 by citations
• Computer Networks and Communications — 6 citations into it; #6,443 of 9,886 by trust here, #9,214 by citations

Whom Kaiyuan Jiang trusts overall

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

1. L.Dhanabal
2. Sumaiya Thaseen Ikram
3. Alex Krizhevsky
4. Gustavo E. A. P. A. Batista
5. Jihyun Kim
6. Chuanlong Yin
7. Lefei Zhang
8. Ilya Sutskever
9. Cherukuri Aswani Kumar
10. Dr. S. P. Shantharajah

Who trusts Kaiyuan Jiang overall

1. Sydney Mambwe Kasongo
2. Nivedita Mishra
3. Yanxia Sun
4. Sharnil Pandya

Papers from Kaiyuan Jiang's perspective

Ordered by how strongly the researchers Kaiyuan Jiang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Learning
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
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. Going deeper with convolutions

Their papers

• Network Intrusion Detection Combined Hybrid Sampling With Deep Hierarchical Network (2020) — 342 citations