Ruoyu Sun
Computational Mechanics · with Chen · 2014–2018
A researcher in the Science corpus: 2 papers; trusts 42 researchers and is trusted by 33 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 35 citations into it; #1,190 of 10,001 by trust here, #2,156 by citations
- Optimization & Training — 31 citations into it; #2,176 of 2,601 by trust here, #1,715 by citations
- Artificial Intelligence — 29 citations into it; #27,122 of 35,345 by trust here, #19,439 by citations
- Numerical Analysis — 13 citations into it; #388 of 3,586 by trust here, #800 by citations
- Computer Vision and Pattern Recognition — 10 citations into it
- Mathematical Optimization — 9 citations into it
- Statistics and Probability — 7 citations into it
- Management Science and Operations Research — 6 citations into it
Whom Ruoyu Sun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- B. Recht
- David Gross
- Yurii E. Nesterov
- E.J. Candes
- Dimitri P. Bertsekas
- Per-Åke Wedin
- Zhang Liu
- Srinadh Bhojanapalli
- Ajit Paul Singh
- Prateek Jain
Who trusts Ruoyu Sun overall
- Yuxin Chen
- Yuejie Chi
- Rong Ge
- Tommaso Cai
- Sharan Vaswani
- Ju Sun
- G. Wang
- Mingyi Hong
- Cong Ma
- Madeleine Udell
Papers from Ruoyu Sun's perspective
Ordered by how strongly the researchers Ruoyu Sun trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization (2018) — 381 citations
- Guaranteed Matrix Completion via Non-Convex Factorization (2014) — 480 citations