Siqi Liu
Computer Vision and Pattern Recognition · with Cai · 2012–2017
A researcher in the Science corpus: 5 papers; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 31 citations into it
- Artificial Intelligence — 27 citations into it
- Astronomy and Astrophysics — 22 citations into it
- Molecular Biology — 21 citations into it
- Optimization & Training — 12 citations into it
- Instrumentation — 11 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Siqi Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Kaiming He
- Chih-Jen Lin
- Marc'Aurelio Ranzato
- Yann LeCun
- Diederik P. Kingma
- Alex Krizhevsky
- James Bergstra
- Quoc V. Le
Who trusts Siqi Liu overall
- Jyoti Islam
- Jonathan G. Richens
- Devinder Kumar
- Ehsan Hosseini-Asl
- Manhua Liu
- Farheen Ramzan
- Chunfeng Lian
- Jun Shi
- Jeremy Kawahara
- Nima Tajbakhsh
Papers from Siqi Liu's perspective
Ordered by how strongly the researchers Siqi Liu 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
- 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)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- metaX: a flexible and comprehensive software for processing metabolomics data (2017) — 822 citations
- Multi-Modal Neuroimaging Feature Learning for Multi-Class Diagnosis of Alzheimer’s Disease (2014) — 524 citations
- 3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes (2017) — 158 citations
- Early diagnosis of Alzheimer's disease with deep learning (2014) — 489 citations
- Four new observational H(z) data from luminous red galaxies in the Sloan Digital Sky Survey data release seven (2012) — 770 citations