Qiying Yu

Computer Vision and Pattern Recognition · 2023–2025

A researcher in the Science corpus: 3 papers; trusts 43 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 115 citations into it
• Generative Models — 21 citations into it

Whom Qiying Yu trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Alex Krizhevsky
4. Kaiming He
5. Yoshua Bengio
6. Ilya Sutskever
7. Jonathan Ho
8. Yann LeCun
9. Ross B. Girshick

Papers from Qiying Yu's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Microsoft COCO: Common Objects in Context
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. Language Models are Few-Shot Learners (Neural Information Processing Systems)

Their papers

• DAPO: An Open-Source LLM Reinforcement Learning System at Scale (2025) — 2,219 citations
• Emu3: Next-Token Prediction is All You Need (2024) — 751 citations
• Generative Multimodal Models are In-Context Learners (2023) — 522 citations