Chang Xu

Artificial Intelligence · with Liu · 2014–2017

A researcher in the Science corpus: 4 papers; trusts 74 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Computer Vision and Pattern Recognition — 31 citations into it; #14,884 of 21,575 by trust here, #12,419 by citations
• Natural Language Processing — 19 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Optimization & Training — 10 citations into it
• Reinforcement Learning — 10 citations into it
• Model Architectures — 7 citations into it

Whom Chang Xu trusts overall

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

1. Richard S. Sutton
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Andrew Barto
5. Yann LeCun
6. Diederik P. Kingma
7. Yoshua Bengio
8. Tomas Mikolov
9. Andriy Mnih
10. Ilya Sutskever

Who trusts Chang Xu overall

1. José Camacho-Collados
2. QUAN LIU
3. Guangyou Zhou
4. Sunkyu Kim
5. Manaal Faruqui
6. Dietmar Jannach
7. Nikola Mrksic
8. Malte Ludewig
9. Qiang Liu
10. Mohammad Taher Pilehvar

Papers from Chang Xu's perspective

Ordered by how strongly the researchers Chang Xu 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. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• RC-NET: A General Framework for Incorporating Knowledge into Word Representations (2014) — 205 citations
• Reinforcement Learning for Learning Rate Control (2017) — 36 citations
• Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks (2014) — 355 citations
• Automatic Image Dataset Construction from Click-through Logs Using Deep Neural Network (2015) — 32 citations