Xiuyu Li
Artificial Intelligence · 2021–2025
A researcher in the Science corpus: 5 papers; trusts 52 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 178 citations into it
- Computer Vision and Pattern Recognition — 134 citations into it
- Efficiency & Compression — 60 citations into it
- Generative Models — 30 citations into it
- Graph Learning — 18 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
Whom Xiuyu Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Kaiming He
- Yann LeCun
- Ilya Sutskever
- Jonathan Ho
- Jimmy Ba
- Karen Simonyan
Who trusts Xiuyu Li overall
Papers from Xiuyu Li's perspective
Ordered by how strongly the researchers Xiuyu Li 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- A benchmark of expert-level academic questions to assess AI capabilities (2025) — 349 citations
- Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods (2021) — 492 citations
- LongVILA: Scaling Long-Context Visual Language Models for Long Videos (2024) — 306 citations
- SqueezeLLM: Dense-and-Sparse Quantization (2023) — 345 citations
- Q-Diffusion: Quantizing Diffusion Models (2023) — 316 citations