Liheng Zhong
Remote Sensing of Environment · with Biging · 2014–2019
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Liheng Zhong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- José Manuel Peñá-Barragán
- Victor Francisco Rodriguez-Galiano
- Andy Liaw
- J. Masek
- Geoffrey E. Hinton
- Alex Krizhevsky
- Moffatt K. Ngugi
- Leo Breiman
- Yoshua Bengio
- Yann LeCun
Who trusts Liheng Zhong overall
Papers from Liheng Zhong's perspective
Ordered by how strongly the researchers Liheng Zhong 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)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Deep learning based multi-temporal crop classification (2019) — 894 citations
- Efficient corn and soybean mapping with temporal extendability: A multi-year experiment using Landsat imagery (2014) — 347 citations