Luping Wang

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 42 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #13,770 of 35,345 by trust here, #25,040 by citations
• Federated & Distributed Learning — 10 citations into it
• Privacy & Security — 6 citations into it

Whom Luping Wang trusts overall

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

1. Yann LeCun
2. Yoshua Bengio
3. Alex Krizhevsky
4. Sepp Hochreiter
5. Geoffrey E. Hinton
6. H. Brendan McMahan
7. Ilya Sutskever
8. J. Urgen Schmidhuber
9. L. Eon Bottou
10. Robin C. Geyer

Who trusts Luping Wang overall

1. Dinh C. Nguyen
2. Ming Ding
3. Priyanka Mary Mammen
4. Pubudu N. Pathirana
5. Mang Ye
6. Sawsan AbdulRahman
7. Wei Yang Bryan Lim
8. Jun Li
9. Quoc-Viet Pham

Papers from Luping Wang's perspective

Ordered by how strongly the researchers Luping Wang 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
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

• CMFL: Mitigating Communication Overhead for Federated Learning (2019) — 454 citations