Jun Zhu

Statistical and Nonlinear Physics · with Cheng · 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 Jun Zhu trusts

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

1. Shuhao Cao (in Statistical and Nonlinear Physics)

Papers from Jun Zhu's perspective

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

1. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
2. Generating Long Sequences with Sparse Transformers
3. Adaptive Mixtures of Local Experts
4. Scaling Laws for Neural Language Models (arXiv.org)
5. Fourier Neural Operator for Parametric Partial Differential Equations (International Conference on Learning Representations)
6. Decoupled Weight Decay Regularization
7. Longformer: The Long-Document Transformer
8. Rethinking Attention with Performers
9. Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity (Journal of machine learning research)
10. Learning the solution operator of parametric partial differential equations with physics-informed DeepONets (Science Advances)

Their papers

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