Chuan Wu
Artificial Intelligence · with Bao · 2017–2020
A researcher in the Science corpus: 4 papers; trusts 35 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 71 citations into it; #20,955 of 35,345 by trust here, #22,463 by citations
- Computer Vision and Pattern Recognition — 50 citations into it; #13,046 of 21,575 by trust here, #12,419 by citations
- Optimization & Training — 44 citations into it; #1,771 of 2,601 by trust here, #2,313 by citations
- Model Architectures — 17 citations into it
- Efficiency & Compression — 14 citations into it
- Management Science and Operations Research — 8 citations into it
Whom Chuan Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Diederik P. Kingma
- Geoffrey E. Hinton
- Matthew D. Zeiler
- Yoshua Bengio
- Ilya Sutskever
- Yann LeCun
- Karen Simonyan
- X. Zhang
Who trusts Chuan Wu overall
Papers from Chuan Wu's perspective
Ordered by how strongly the researchers Chuan Wu 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)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- Normalized Direction-preserving Adam (2017) — 31 citations
- DAPPLE: a pipelined data parallel approach for training large models (2020) — 336 citations
- A generic communication scheduler for distributed DNN training acceleration (2019) — 407 citations
- Optimus: an efficient dynamic resource scheduler for deep learning clusters (2018) — 511 citations