Zehao Dou
Artificial Intelligence · 2020–2025
A researcher in the Science corpus: 3 papers; trusts 73 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 65 citations into it; #27,963 of 35,345 by trust here, #30,347 by citations
- Computer Vision and Pattern Recognition — 41 citations into it; #17,466 of 21,575 by trust here, #20,271 by citations
- Optimization & Training — 34 citations into it
- Generative Models — 30 citations into it; #1,624 of 1,956 by trust here, #1,902 by citations
- Statistical Learning Theory — 17 citations into it
- Scaling & Learning Theory — 14 citations into it
- Statistical and Nonlinear Physics — 14 citations into it
- Computational Mechanics — 12 citations into it
Whom Zehao Dou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sanjeev Arora
- Yuanzhi Li
- Andrew R. Barron
- Anima Anandkumar
- Rong Ge
- Ankur Moitra
- Zeyuan Allen-Zhu
- Geoffrey E. Hinton
- Yingyu Liang
- Alex Krizhevsky
Who trusts Zehao Dou overall
Papers from Zehao Dou's perspective
Ordered by how strongly the researchers Zehao Dou 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)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- 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)
Their papers
- When can Wasserstein GANs minimize Wasserstein Distance? (2020) — 5 citations
- OpenAI GPT-5 System Card (2025) — 667 citations
- Making Method of Moments Great Again? -- How can GANs learn the target distribution (2020) — 5 citations