Wee Keong Ng

Artificial Intelligence · 2007–2015

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Signal Processing — 13 citations into it
• Information Systems — 6 citations into it
• Statistical and Nonlinear Physics — 6 citations into it
• Computer Networks and Communications — 5 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Wee Keong Ng trusts overall

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

1. Charu C. Aggarwal
2. Jon M. Kleinberg
3. Teuvo Kohonen
4. Huan Liu
5. Lei Yu
6. Jan de Leeuw
7. Jiawei Han
8. Pedro M. Domingos
9. Geoff Hulten
10. Arthur P. Dempster

Who trusts Wee Keong Ng overall

1. Qinbin Li

Papers from Wee Keong Ng's perspective

Ordered by how strongly the researchers Wee Keong Ng 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A survey on data stream clustering and classification (2015) — 317 citations
• Privacy-preservation for gradient descent methods (2007) — 92 citations