Zhongkai Hao

Statistical and Nonlinear Physics · 2023

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 9 citations into it
• Computational Mechanics — 6 citations into it

Whom Zhongkai Hao trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Shuhao Cao
2. Zong-Yi Li
3. Ilya Loshchilov
4. Leslie N. Smith
5. Geoffrey E. Hinton
6. Ameya Dilip Jagtap
7. Olaf Ronneberger
8. Sifan Wang
9. William Fedus
10. Pengzhan Jin

Who trusts Zhongkai Hao overall

1. Haixu Wu
2. Zong-Yi Li

Papers from Zhongkai Hao's perspective

Ordered by how strongly the researchers Zhongkai Hao trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• GNOT: A General Neural Operator Transformer for Operator Learning (2023) — 432 citations