Ximing Qiao
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 13 citations into it; #21,865 of 35,345 by trust here, #25,809 by citations
- Signal Processing — 8 citations into it; #4,481 of 7,572 by trust here, #5,086 by citations
- Computer Vision and Pattern Recognition — 6 citations into it; #13,580 of 21,575 by trust here, #16,787 by citations
- Optimization & Training — 5 citations into it
Whom Ximing Qiao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Individualized Treat
- L. V. D. van der Maaten
- Corinna Cortes
- Max Welling
- Yoshua Bengio
- Aäron van den Oord
Who trusts Ximing Qiao overall
- Dongxian Wu
- Eugene Bagdasarian
- Yige Li
- Vitaly Shmatikov
- Yisen Wang
- Fanchao Qi
- Yuezun Li
- Nodens F. Koren
Papers from Ximing Qiao's perspective
Ordered by how strongly the researchers Ximing Qiao 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)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Defending Neural Backdoors via Generative Distribution Modeling (2019) — 205 citations