Qing Sun
Artificial Intelligence · 2016–2022
A researcher in the Science corpus: 3 papers; trusts 98 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 58 citations into it; #23,571 of 35,345 by trust here, #7,606 by citations
- Computer Vision and Pattern Recognition — 43 citations into it; #14,615 of 21,575 by trust here, #5,464 by citations
- Natural Language Processing — 30 citations into it; #5,656 of 5,688 by trust here, #2,333 by citations
- Evaluation & Benchmarks — 10 citations into it
- Multimodal Learning — 10 citations into it
- Model Architectures — 6 citations into it
Whom Qing Sun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Kaiming He
- Oriol Vinyals
- Alex Krizhevsky
- Jean-Antoine Desideri
- Alex Graves
- Ilya Sutskever
- Diederik P. Kingma
- Yann LeCun
Who trusts Qing Sun overall
Papers from Qing Sun's perspective
Ordered by how strongly the researchers Qing Sun trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- 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
- Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models (2016) — 657 citations
- Diverse Beam Search for Improved Description of Complex Scenes (2018) — 289 citations
- Exploring Example Influence in Continual Learning (2022) — 66 citations