Yong Cui

Computer Vision and Pattern Recognition · with Jiang · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it

Whom Yong Cui trusts overall

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

1. Keith Winstein

Papers from Yong Cui's perspective

Ordered by how strongly the researchers Yong Cui trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. Language Models are Unsupervised Multitask Learners
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Their papers

• A Unified Architecture for Accelerating Distributed DNN Training in Heterogeneous GPU/CPU Clusters (2020) — 410 citations
• Machine Learning for Networking: Workflow, Advances and Opportunities (2017) — 425 citations