Xinxing Xu
Artificial Intelligence · 2016
A researcher in the Science corpus: 3 papers; trusts 154 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 36 citations into it; #8,798 of 35,345 by trust here, #13,760 by citations
- Computer Vision and Pattern Recognition — 27 citations into it; #19,731 of 21,575 by trust here, #18,266 by citations
- Representation & Self-Supervised Learning — 14 citations into it
- Information Systems — 8 citations into it; #1,479 of 8,771 by trust here, #2,821 by citations
- Signal Processing — 8 citations into it
- Optimization & Training — 7 citations into it
- Information Retrieval & Search — 6 citations into it
- Model Architectures — 6 citations into it; #754 of 2,278 by trust here, #1,433 by citations
Whom Xinxing Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vladimir Naumovich Vapnik
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Kaiming He
- Yoshua Bengio
- Ilya Sutskever
- Ruslan Salakhutdinov
- Yann LeCun
- Karen Simonyan
Who trusts Xinxing Xu overall
- Yong Kiam Tan
- Malte Ludewig
- Dietmar Jannach
- Xu Chen
- Balázs Hidasi
- Alexandros Karatzoglou
- Aminu Da’u
- Robin Devooght
- Tim Donkers
- Sotirios P. Chatzis
Papers from Xinxing Xu's perspective
Ordered by how strongly the researchers Xinxing Xu 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
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Improved Recurrent Neural Networks for Session-based Recommendations (2016) — 852 citations
- Transfer Hashing with Privileged Information (2016) — 29 citations
- Simple and Efficient Learning using Privileged Information (2016) — 12 citations