Chi Zhang
Computer Vision and Pattern Recognition · with Zhang · 2019
A researcher in the Science corpus: 2 papers; trusts 65 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 32 citations into it; #20,284 of 21,575 by trust here, #9,872 by citations
- Artificial Intelligence — 31 citations into it; #33,114 of 35,345 by trust here, #15,866 by citations
- Natural Language Processing — 13 citations into it
- Management Science and Operations Research — 7 citations into it
Whom Chi Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Alex Graves
- Geoffrey E. Hinton
- Kaiming He
- Ilya Sutskever
- Yoshua Bengio
- Alex Krizhevsky
- Karen Simonyan
- Jimmy Ba
- Yann LeCun
Who trusts Chi Zhang overall
Papers from Chi Zhang's perspective
Ordered by how strongly the researchers Chi Zhang 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering (2019) — 319 citations
- Multi-Horizon Time Series Forecasting with Temporal Attention Learning (2019) — 235 citations