Shen Nie
Computer Vision and Pattern Recognition · 2022–2025
A researcher in the Science corpus: 3 papers; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 94 citations into it
- Artificial Intelligence — 90 citations into it
- Generative Models — 74 citations into it
- Statistical and Nonlinear Physics — 27 citations into it
- Model Architectures — 23 citations into it
- Biophysics — 8 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Shen Nie trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Alex Krizhevsky
- Geoffrey E. Hinton
- Jonathan Ho
- Noam Shazeer
- Yang Song
- Yoshua Bengio
- Kaiming He
- Ilya Sutskever
- Yann LeCun
Who trusts Shen Nie overall
Papers from Shen Nie's perspective
Ordered by how strongly the researchers Shen Nie trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- All are Worth Words: A ViT Backbone for Diffusion Models (2022) — 631 citations
- Large Language Diffusion Models (2025) — 780 citations
- Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data (2024) — 345 citations