Lian Duan
Artificial Intelligence · with Xu · 2019
A researcher in the Science corpus: 1 paper; trusts 67 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it
- Industrial and Manufacturing Engineering — 13 citations into it; #1,278 of 2,521 by trust here, #1,800 by citations
- Information Systems — 13 citations into it
- Computer Networks and Communications — 9 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Computational Theory and Mathematics — 7 citations into it
- Management Information Systems — 6 citations into it; #1,969 of 3,376 by trust here, #2,332 by citations
- Statistical Learning Theory — 5 citations into it
Whom Lian Duan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Leo Breiman
- Robert E. Schapire
- Lawrence R. Rabiner
- Teuvo Kohonen
- Mohammed J. Zaki
- David Hilton Wolpert
- Daniel Müllner
- Ehsan Elhamifar
- René Vidal
- Rakesh Agrawal
Who trusts Lian Duan overall
Papers from Lian Duan's perspective
Ordered by how strongly the researchers Lian Duan 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Big data for cyber physical systems in industry 4.0: a survey (2019) — 453 citations