Jihan Yin

Artificial Intelligence · 2020–2025

A researcher in the Science corpus: 3 papers; trusts 38 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it; #28,194 of 35,345 by trust here, #21,878 by citations
• Computer Vision and Pattern Recognition — 32 citations into it; #17,346 of 21,575 by trust here, #17,258 by citations

Whom Jihan Yin trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Yoshua Bengio
5. Diederik P. Kingma
6. Karen Simonyan
7. John Schulman
8. Ilya Sutskever
9. Yann LeCun
10. Tsung-Yi Lin

Who trusts Jihan Yin overall

1. Vipula Rawte

Papers from Jihan Yin's perspective

Ordered by how strongly the researchers Jihan Yin 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. ImageNet: A large-scale hierarchical image database
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Detecting and Preventing Hallucinations in Large Vision Language Models (2023) — 337 citations
• OpenAI GPT-5 System Card (2025) — 667 citations
• NBDT: Neural-Backed Decision Trees (2020) — 125 citations