Youjie Li
Computer Vision and Pattern Recognition · 2018–2019
A researcher in the Science corpus: 3 papers; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 66 citations into it
- Artificial Intelligence — 52 citations into it
- Optimization & Training — 32 citations into it
- ML Systems & Hardware — 24 citations into it
- Computer Networks and Communications — 17 citations into it
- Hardware and Architecture — 17 citations into it
- Information Systems — 9 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
Whom Youjie Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Yann LeCun
- Yoshua Bengio
- Muthu Dayalan
- Ilya Sutskever
- Ross B. Girshick
- Mu Li
- Diederik P. Kingma
Who trusts Youjie Li overall
Papers from Youjie Li's perspective
Ordered by how strongly the researchers Youjie Li trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- DeepStore: In-Storage Acceleration for Intelligent Queries (2019) — 93 citations
- GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training (2018) — 70 citations
- Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training (2018) — 112 citations