JiChu Jiang

Artificial Intelligence · 2020

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

• Artificial Intelligence — 47 citations into it
• Federated & Distributed Learning — 24 citations into it
• Electrical and Electronic Engineering — 20 citations into it

Whom JiChu Jiang trusts overall

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

1. H. Brendan McMahan
2. Takayuki Nishio
3. Solmaz Niknam
4. Tian Li
5. Jiawen Kang
6. Keith Bonawitz
7. Ryo Yonetani
8. Anit Kumar Sahu
9. Harpreet S. Dhillon
10. Zehui Xiong

Papers from JiChu Jiang's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Learning Multiple Layers of Features from Tiny Images
5. Communication-Efficient Learning of Deep Networks from Decentralized Data
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Large Scale Distributed Deep Networks
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Federated Learning in Smart City Sensing: Challenges and Opportunities (2020) — 295 citations