Faming Huang

Management, Monitoring, Policy and Law · 2017–2021

A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Management, Monitoring, Policy and Law — 46 citations into it
• Global and Planetary Change — 36 citations into it

Whom Faming Huang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Corinna Cortes
2. Hakan Ahmet Nefeslioglu
3. Biswajeet Pradhan
4. Wei Chen
5. Vladimir Naumovich Vapnik
6. Yoshua Bengio
7. Candan Gokceoglu
8. D. Tien Bui
9. Pascal Vincent
10. Haoyuan Hong

Papers from Faming Huang's perspective

Ordered by how strongly the researchers Faming Huang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
5. Support-Vector Networks
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management (2021) — 202 citations
• Uncertainty study of landslide susceptibility prediction considering the different attribute interval numbers of environmental factors and different data-based models (2021) — 132 citations
• Comparisons of heuristic, general statistical and machine learning models for landslide susceptibility prediction and mapping (2020) — 449 citations
• A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction (2019) — 401 citations
• Prediction of groundwater levels using evidence of chaos and support vector machine (2017) — 75 citations