Jieru Mei

Computer Vision and Pattern Recognition · 2019–2025

A researcher in the Science corpus: 6 papers; trusts 528 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 168 citations into it
• Artificial Intelligence — 122 citations into it
• Model Architectures — 54 citations into it
• Efficiency & Compression — 30 citations into it
• Safety, Robustness & Interpretability — 21 citations into it
• Optimization & Training — 20 citations into it
• Electrical and Electronic Engineering — 8 citations into it
• Molecular Biology — 7 citations into it

Whom Jieru Mei trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Ross B. Girshick
6. Quoc V. Le
7. Yoshua Bengio
8. Ilya Sutskever
9. Christian Szegedy
10. Yann LeCun

Who trusts Jieru Mei overall

1. Mohamed S. Abdelfattah

Papers from Jieru Mei's perspective

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

Their papers

• AtomNAS: Fine-Grained End-to-End Neural Architecture Search (2019) — 111 citations
• Neural Architecture Search for Lightweight Non-Local Networks (2020) — 55 citations
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
• TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers (2024) — 1,173 citations
• Are Transformers More Robust Than CNNs? (2021) — 345 citations
• Shape-Texture Debiased Neural Network Training (2020) — 127 citations