Yiu-ming Cheung
Artificial Intelligence · 2011–2018
A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Optimization & Training — 7 citations into it
- Computer Networks and Communications — 6 citations into it
- Computational Mechanics — 5 citations into it
- Privacy & Security — 5 citations into it
Whom Yiu-ming Cheung trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter Richtárik
- Adam D. Smith
- Martin Jaggi
- Abhradeep Thakurta
- Martin Takác
- Zheng Qu
- Cynthia Dwork
- Prateek Jain
- Kamalika Chaudhuri
- Kunal Talwar
Papers from Yiu-ming Cheung's perspective
Ordered by how strongly the researchers Yiu-ming Cheung 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)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions