Dinghuai Zhang
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 69 citations into it; #20,952 of 35,345 by trust here, #17,412 by citations
- Safety, Robustness & Interpretability — 34 citations into it; #1,378 of 2,251 by trust here, #1,589 by citations
- Computer Vision and Pattern Recognition — 27 citations into it; #14,943 of 21,575 by trust here, #12,419 by citations
- Electrical and Electronic Engineering — 7 citations into it
Whom Dinghuai Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nicholas Carlini
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- Yoshua Bengio
- Haifeng Qian
- Daniel Jakubovitz
- Diederik P. Kingma
- Yann LeCun
- Ian J. Goodfellow
Who trusts Dinghuai Zhang overall
- Eric Wong
- Leslie Rice
- Tianyu Pang
- Chen Zhu
- Han Xu
- Francesco Croce
- Maksym Andriushchenko
- Zhe Gan
- Tianyuan Zhang
- Anqi Mao
Papers from Dinghuai Zhang's perspective
Ordered by how strongly the researchers Dinghuai Zhang 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
- Long Short-Term Memory
- 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)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle (2019) — 394 citations
- Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization (2021) — 353 citations
- You Only Propagate Once: Painless Adversarial Training Using Maximal Principle (2019) — 65 citations