Cheng-Te Li

Artificial Intelligence · with Jiang · 2017

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Information Systems — 6 citations into it
• Privacy & Security — 5 citations into it

Whom Cheng-Te Li trusts overall

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

1. Steffen Rendle
2. Yehuda Koren
3. Max Welling
4. Ú. Erlingsson
5. Ziqi Liu
6. Cynthia Dwork
7. Arnaud Berlioz

Papers from Cheng-Te Li's perspective

Ordered by how strongly the researchers Cheng-Te Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Bayesian Learning via Stochastic Gradient Langevin Dynamics
5. Attention is All you Need (Neural Information Processing Systems)
6. Matrix Factorization Techniques for Recommender Systems
7. The Algorithmic Foundations of Differential Privacy
8. Learning Multiple Layers of Features from Tiny Images
9. Gradient-based learning applied to document recognition
10. Factorization Machines with libFM

Their papers

• Towards a More Reliable Privacy-preserving Recommender System (2017) — 39 citations