Xi Lin
Artificial Intelligence · 2019–2024
A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 54 citations into it; #32,571 of 35,345 by trust here, #19,873 by citations
- Computer Vision and Pattern Recognition — 22 citations into it
- Computational Theory and Mathematics — 15 citations into it; #11,238 of 12,182 by trust here, #5,239 by citations
- Optimization & Training — 8 citations into it
Whom Xi Lin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kalyanmoy Deb
- Alex Kendall
- Yann LeCun
- Geoffrey E. Hinton
- Ron Kohavi
- Yoshua Bengio
- Alex Krizhevsky
- Kaiming He
- Stephen P. Boyd
- Diederik P. Kingma
Who trusts Xi Lin overall
- Michael Crawshaw
- Christopher Fifty
- Zhe Zhao
- Bo Liu
- Weixia Zhang
- Ehsan Amid
- Fan Lyu
- Yuyan Wang
- Shangchen Du
- Han-Jia Ye
Papers from Xi Lin's perspective
Ordered by how strongly the researchers Xi Lin 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
- Gradient-based learning applied to document recognition
- 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
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Pareto Multi-Task Learning (2019) — 440 citations
- Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model (2024) — 309 citations