Junpu Wang

Artificial Intelligence · with Li · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #7,878 of 35,345 by trust here, #16,166 by citations
• Federated & Distributed Learning — 10 citations into it; #51 of 319 by trust here, #215 by citations
• Optimization & Training — 5 citations into it

Whom Junpu Wang trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Luca Corinzia
4. Mikhail Khodak
5. Yue Zhao
6. Oriol Vinyals
7. Sebastian Caldas
8. Ameet Talwalkar
9. Joachim M. Buhmann
10. Diederik P. Kingma

Who trusts Junpu Wang overall

1. Lichao Sun
2. Mang Ye
3. Hong-You Chen
4. Zhuangdi Zhu
5. Wenke Huang
6. Alysa Ziying Tan
7. Omar Abdel Wahab
8. Guodong Long
9. Yue Tan
10. Lingjuan Lyu

Papers from Junpu Wang's perspective

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

1. Learning Multiple Layers of Features from Tiny Images
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Distilling the Knowledge in a Neural Network (arXiv.org)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• FedMD: Heterogenous Federated Learning via Model Distillation (2019) — 1,187 citations