Weicong Kong

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Model Architectures — 11 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Natural Language Processing — 10 citations into it

Whom Weicong Kong trusts overall

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

1. Alex Graves
2. Paul J. Werbos
3. Ilya Sutskever
4. Yoshua Bengio
5. Geoffrey E. Hinton
6. Oriol Vinyals
7. Diederik P. Kingma
8. Sepp Hochreiter
9. J. Urgen Schmidhuber
10. Alex Krizhevsky

Who trusts Weicong Kong overall

1. T. Kim
2. Yang Zhang
3. Min Xia
4. Stephen A. Haben
5. Sung-Bae Cho
6. Zhiqiang Wan
7. Tao Huang

Papers from Weicong Kong's perspective

Ordered by how strongly the researchers Weicong Kong 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Short-Term Residential Load Forecasting Based on Resident Behaviour Learning (2018) — 517 citations
• Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network (2019) — 2,183 citations