Yilin Niu

Artificial Intelligence · 2018–2024

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Natural Language Processing — 16 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Yilin Niu trusts overall

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

1. Gonzalo Navarro
2. Chet Langin
3. Sepp Hochreiter
4. Geoffrey E. Hinton
5. Tomas Mikolov
6. William B. Dolan
7. Gerard A. Salton
8. Jeff Mitchell
9. Jeffrey Pennington
10. J. Urgen Schmidhuber

Papers from Yilin Niu's perspective

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

1. Long Short-Term Memory
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
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

• ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools (2024) — 1,646 citations
• Word Embedding based Edit Distance (2018) — 6 citations