Chai Kiat Yeo

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #24,689 of 35,345 by trust here, #28,481 by citations
• Computer Networks and Communications — 5 citations into it

Whom Chai Kiat Yeo trusts overall

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

1. Eleazar Eskin
2. Geoffrey E. Hinton
3. Yihua Liao

Who trusts Chai Kiat Yeo overall

1. A. Ozbayoglu
2. Omer Berat Sezer
3. M. Ugur Gudelek
4. Ze Hu

Papers from Chai Kiat Yeo's perspective

Ordered by how strongly the researchers Chai Kiat Yeo 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. ShapeNet: An Information-Rich 3D Model Repository
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Large Scale GAN Training for High Fidelity Natural Image Synthesis
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Leveraging social media news to predict stock index movement using RNN-boost (2018) — 101 citations
• Unsupervised 3D Shape Completion through GAN Inversion (2021) — 147 citations
• Autoencoder-based network anomaly detection (2018) — 426 citations