Yunpeng Wang

Transportation · 2014–2018

A researcher in the Science corpus: 8 papers; trusts 20 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Transportation — 56 citations into it; #1,089 of 2,062 by trust here, #552 by citations
• Building and Construction — 50 citations into it; #545 of 2,909 by trust here, #228 by citations
• Artificial Intelligence — 25 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Model Architectures — 12 citations into it
• Automotive Engineering — 6 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Yunpeng Wang trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Xiaolei Ma
4. Yann LeCun
5. Ilya Sutskever
6. Sepp Hochreiter
7. Alex Krizhevsky
8. Sergey Ioffe
9. J. Urgen Schmidhuber
10. Billy M. Williams

Who trusts Yunpeng Wang overall

1. Zhiyong Cui
2. David Alexander Tedjopurnomo
3. Ruimin Ke
4. Xiaolei Ma
5. Yinhai Wang
6. Ibai Lana
7. Jinjun Tang
8. Li Zhu
9. Abhishek Khanna

Papers from Yunpeng Wang's perspective

Ordered by how strongly the researchers Yunpeng 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. This PDF file includes: Materials and Methods
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership (2018) — 300 citations
• Understanding commuting patterns using transit smart card data (2017) — 337 citations
• Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017) — 1,306 citations
• Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks (2017) — 594 citations
• A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting (2016) — 456 citations
• Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015) — 2,059 citations
• Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory (2015) — 484 citations
• Percolation transition in dynamical traffic network with evolving critical bottlenecks (2014) — 448 citations