Ke-jun Wang

Artificial Intelligence · 2012–2019

A researcher in the Science corpus: 3 papers; trusts 138 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 46 citations into it
• Computer Vision and Pattern Recognition — 40 citations into it
• Computer Networks and Communications — 6 citations into it
• Signal Processing — 6 citations into it

Whom Ke-jun Wang trusts overall

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

1. Geoffrey E. Hinton
2. David M. Blei
3. Juan Carlos Niebles
4. Oren Boiman
5. Tao A. Xiang
6. Fengjun Lv
7. Jaechul Kim
8. Louis Kratz
9. Yann LeCun
10. Jagannadan Varadarajan

Papers from Ke-jun Wang's perspective

Ordered by how strongly the researchers Ke-jun Wang 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Video-Based Abnormal Human Behavior Recognition—A Review (2012) — 511 citations
• A comparison of day-ahead photovoltaic power forecasting models based on deep learning neural network (2019) — 508 citations
• Photovoltaic power forecasting based LSTM-Convolutional Network (2019) — 442 citations