Keke Chen

Artificial Intelligence · with Liu · 2005–2008

A researcher in the Science corpus: 3 papers; trusts 33 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it; #16,219 of 35,345 by trust here, #25,040 by citations
• Statistics and Probability — 13 citations into it
• Privacy & Security — 12 citations into it
• Information Systems — 6 citations into it
• Management Science and Operations Research — 6 citations into it
• Mathematical Physics — 5 citations into it

Whom Keke Chen trusts overall

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

1. Charu C. Aggarwal
2. Eric R. Ziegel
3. Alexandre V. Evfimievski
4. Jaideep Vaidya
5. Tiefeng Jiang
6. Latanya Sweeney
7. Philip S. Yu
8. Dakshi Agrawal
9. Bart Goethals
10. Hillol Kargupta

Who trusts Keke Chen overall

1. Yogendra Kumar Jain
2. Ling Liu
3. Otkrist Gupta
4. Jaideep Vaidya
5. Abhishek V A
6. Charu C. Aggarwal
7. Ramesh Raskar
8. Yu Zhu
9. Binny S
10. Tingting Chen

Papers from Keke Chen's perspective

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

Their papers

• A Survey of Multiplicative Perturbation for Privacy-Preserving Data Mining (2008) — 39 citations
• Privacy preserving data classification with rotation perturbation (2005) — 348 citations
• A Random Rotation Perturbation Approach to Privacy Preserving Data Classification (2005) — 93 citations