Tieyun Qian
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 33 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it; #14,600 of 35,345 by trust here, #28,481 by citations
- Information Systems — 17 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Model Architectures — 6 citations into it
- Natural Language Processing — 6 citations into it
Whom Tieyun Qian trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Jimmy Ba
- Yoshua Bengio
- Yann LeCun
- Kaiming He
- Ilya Sutskever
- Ross B. Girshick
- Sara Sabour
Who trusts Tieyun Qian overall
Papers from Tieyun Qian's perspective
Ordered by how strongly the researchers Tieyun Qian trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation (2020) — 428 citations
- Transfer Capsule Network for Aspect Level Sentiment Classification (2019) — 169 citations