Zi Qin Liew

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it
• Computer Vision and Pattern Recognition — 38 citations into it
• Natural Language Processing — 16 citations into it
• Model Architectures — 12 citations into it

Whom Zi Qin Liew trusts overall

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

1. Alex Graves
2. Kaiming He
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Karen Simonyan
6. Alex Krizhevsky
7. Diederik P. Kingma
8. Dzmitry Bahdanau
9. Yann LeCun
10. Ilya Sutskever

Papers from Zi Qin Liew's perspective

Ordered by how strongly the researchers Zi Qin Liew trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. ImageNet Large Scale Visual Recognition Challenge
9. ImageNet: A large-scale hierarchical image database
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges (2022) — 646 citations