Qin Wang
Artificial Intelligence · with Fink · 2020–2022
A researcher in the Science corpus: 2 papers; trusts 242 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 113 citations into it
- Computer Vision and Pattern Recognition — 83 citations into it
- Representation & Self-Supervised Learning — 45 citations into it
- Model Architectures — 22 citations into it
- Control and Systems Engineering — 19 citations into it
- Natural Language Processing — 19 citations into it
- Optimization & Training — 15 citations into it
- Signal Processing — 11 citations into it
Whom Qin Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Yann LeCun
- Alex Graves
- Kaiming He
- Ilya Sutskever
- Diederik P. Kingma
- Radford M. Neal
- Jimmy Ba
Who trusts Qin Wang overall
Papers from Qin Wang's perspective
Ordered by how strongly the researchers Qin Wang 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
- 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
- Continual Test-Time Domain Adaptation (2022) — 754 citations
- Potential, challenges and future directions for deep learning in prognostics and health management applications (2020) — 488 citations