Lingchen Zhao

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it
• Privacy & Security — 16 citations into it
• Safety, Robustness & Interpretability — 10 citations into it

Whom Lingchen Zhao trusts overall

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

1. Cynthia Dwork
2. Frank McSherry
3. Reza Shokri
4. Geoffrey E. Hinton
5. Kamalika Chaudhuri
6. David E. Rumelhart
7. Geetha Jagannathan
8. Avrim Blum
9. Arik Friedman
10. Kobbi Nissim

Who trusts Lingchen Zhao overall

1. Qinbin Li
2. Fatemehsadat Mirshghallah
3. Zhuzhu Wang
4. Bargav Jayaraman
5. Zeyi Wen

Papers from Lingchen Zhao's perspective

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

Their papers

• Privacy-Preserving Collaborative Deep Learning with Irregular Participants. (2018) — 10 citations
• InPrivate Digging: Enabling Tree-based Distributed Data Mining with Differential Privacy (2018) — 93 citations