Xu Zhong
Artificial Intelligence · 2019
A researcher in the Science corpus: 3 papers; trusts 107 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 25 citations into it
- Computer Vision and Pattern Recognition — 24 citations into it; #18,178 of 21,575 by trust here, #15,529 by citations
- Natural Language Processing — 14 citations into it
- Model Architectures — 7 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Xu Zhong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Shaoqing Ren
- Ross B. Girshick
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Jimmy Ba
- Yoshua Bengio
- Yann LeCun
- Sebastian Schreiber
Who trusts Xu Zhong overall
- Yiheng Xu
- Yupan Huang
- Minesh Mathew
- Lei Cui
- Geewook Kim
- Tengchao Lv
- Yang Xu
- Furu Wei
- Viraj Bagal
- Minghao Li
Papers from Xu Zhong's perspective
Ordered by how strongly the researchers Xu Zhong 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- PubLayNet: Largest Dataset Ever for Document Layout Analysis (2019) — 638 citations
- Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in Reading Comprehension (2019) — 53 citations
- Image-based table recognition: data, model, and evaluation (2019) — 358 citations