Fang Liu

Artificial Intelligence · with Panagiotakos · 2016–2022

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it; #16,293 of 35,345 by trust here, #33,294 by citations
• Privacy & Security — 15 citations into it
• Radiology, Nuclear Medicine and Imaging — 11 citations into it
• Statistics and Probability — 7 citations into it
• Computer Science Applications — 5 citations into it

Whom Fang Liu trusts overall

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

1. Cynthia Dwork
2. Frank McSherry
3. R. Shanmugam
4. Mark Bun
5. M. J. van der Laan
6. Moritz Hardt
7. Kobbi Nissim
8. Amine Amyar
9. Aaron Roth
10. Kunal Talwar

Who trusts Fang Liu overall

1. Muneeb Ul Hassan
2. Mubashir Husain Rehmani
3. Ying Zhao
4. Jinjun Chen

Papers from Fang Liu's perspective

Ordered by how strongly the researchers Fang Liu 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. Going deeper with convolutions
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Differential Privacy
10. Long Short-Term Memory

Their papers

• Generalized Gaussian Mechanism for Differential Privacy (2016) — 160 citations
• Real-world data: a brief review of the methods, applications, challenges and opportunities (2022) — 427 citations