Lanjun Wang

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 68 citations into it
• Federated & Distributed Learning — 33 citations into it
• Optimization & Training — 28 citations into it
• Computational Mechanics — 12 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Representation & Self-Supervised Learning — 11 citations into it

Whom Lanjun Wang trusts overall

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

1. Alex Krizhevsky
2. Dimitri P. Bertsekas
3. Diederik P. Kingma
4. R. Tyrrell Rockafellar
5. Kaiming He
6. Mehryar Mohri
7. Corinna Cortes
8. Geoffrey E. Hinton
9. Yishay Mansour
10. Yurii E. Nesterov

Papers from Lanjun Wang's perspective

Ordered by how strongly the researchers Lanjun Wang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Learning Multiple Layers of Features from Tiny Images
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Personalized Cross-Silo Federated Learning on Non-IID Data (2020) — 856 citations
• Personalized Federated Learning: An Attentive Collaboration Approach (2020) — 29 citations