Yanjie Duan

Artificial Intelligence · 2015–2017

A researcher in the Science corpus: 4 papers; trusts 46 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it
• Computer Vision and Pattern Recognition — 41 citations into it
• Building and Construction — 28 citations into it; #475 of 2,909 by trust here, #246 by citations
• Generative Models — 26 citations into it
• Transportation — 24 citations into it; #423 of 2,062 by trust here, #114 by citations
• Control and Systems Engineering — 16 citations into it; #2,171 of 8,257 by trust here, #482 by citations
• Representation & Self-Supervised Learning — 11 citations into it
• Model Architectures — 9 citations into it

Whom Yanjie Duan trusts overall

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

1. Alex Graves
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. J. Urgen Schmidhuber
5. Sepp Hochreiter
6. Hussein Dia
7. Ilya Sutskever
8. Diederik P. Kingma
9. Alex Krizhevsky
10. Yann LeCun

Who trusts Yanjie Duan overall

1. Zhiyong Cui
2. Ruimin Ke
3. Daniel Hsu
4. Yinhai Wang
5. Yongzhi Zhang
6. Toru Seo
7. John Cristian Borges Gamboa
8. Cathy Wu
9. Kristian C. Henrickson
10. Senzhang Wang

Papers from Yanjie Duan's perspective

Ordered by how strongly the researchers Yanjie Duan 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
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. GENERATIVE ADVERSARIAL NETS
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Generative adversarial networks: introduction and outlook (2017) — 652 citations
• An efficient realization of deep learning for traffic data imputation (2016) — 313 citations
• Travel time prediction with LSTM neural network (2016) — 331 citations
• Traffic Flow Prediction With Big Data: A Deep Learning Approach (2015) — 2,921 citations