Wei-Bang Jiang

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Wei-Bang Jiang trusts overall

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

1. Kaiming He
2. Jimmy Ba
3. Geoffrey E. Hinton
4. Alec Radford
5. Aäron van den Oord
6. Alex Krizhevsky
7. Diederik P. Kingma
8. Oriol Vinyals
9. Yoshua Bengio
10. Ilya Sutskever

Papers from Wei-Bang Jiang's perspective

Ordered by how strongly the researchers Wei-Bang Jiang 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI (2024) — 391 citations