Heng Shi

IEEE Transactions on Smart Grid · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Whom Heng Shi trusts overall

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

1. Alessandro Lusci
2. Tao Hong
3. Geoffrey E. Hinton
4. David Silver
5. Gianluca Pollastri
6. Alex Graves
7. Martín Abadi
8. Pierre Baldi
9. Yoshua Bengio
10. Pengwei Du

Who trusts Heng Shi overall

1. Yang Zhang
2. Chujie Tian
3. Stephen A. Haben
4. Tao Huang
5. Jian Ma
6. Siddharth Arora

Papers from Heng Shi's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. A Fast Learning Algorithm for Deep Belief Nets
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Speech recognition with deep recurrent neural networks
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deep Learning for Household Load Forecasting—A Novel Pooling Deep RNN (2018) — 983 citations