Dong-Ling Deng
Atomic and Molecular Physics, and Optics · 2017
A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Atomic and Molecular Physics, and Optics — 44 citations into it; #5,925 of 7,135 by trust here, #5,314 by citations
- Artificial Intelligence — 27 citations into it; #32,241 of 35,345 by trust here, #25,040 by citations
- Condensed Matter Physics — 17 citations into it
- Statistical and Nonlinear Physics — 13 citations into it; #9,019 of 10,127 by trust here, #6,156 by citations
- Materials Chemistry — 7 citations into it
Whom Dong-Ling Deng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Guifré Vidal
- Ulrich Schollwoeck
- Jens Eisert
- Erwin Schrödinger International
- Brian Swingle
- Frank Verstraete
- Luigi Amico
- J. Haegeman
- Mohammad H. Amin
- G. Fiquet
Who trusts Dong-Ling Deng overall
Papers from Dong-Ling Deng's perspective
Ordered by how strongly the researchers Dong-Ling Deng 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
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- This PDF file includes: Materials and Methods
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Quantum Entanglement in Neural Network States (2017) — 431 citations