Xiaolei Ma
Transportation · 2013–2019
A researcher in the Science corpus: 8 papers; trusts 22 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Transportation — 54 citations into it; #1,273 of 2,062 by trust here, #552 by citations
- Building and Construction — 46 citations into it; #562 of 2,909 by trust here, #228 by citations
- Artificial Intelligence — 26 citations into it
- Computer Vision and Pattern Recognition — 13 citations into it
- Model Architectures — 13 citations into it
- Automotive Engineering — 8 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Xiaolei Ma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Yann LeCun
- Alex Krizhevsky
- Ilya Sutskever
- David E. Rumelhart
- Sepp Hochreiter
- Billy M. Williams
- Catherine Morency
- Stephen Clark
Who trusts Xiaolei Ma overall
- Zhiyong Cui
- Weibin Zhang
- Yinhai Wang
- Jinjun Tang
- Li Zhu
- Ruimin Ke
- David Alexander Tedjopurnomo
- Abhishek Khanna
- Haiyang Yu
- Qiangqiang Guo
Papers from Xiaolei Ma's perspective
Ordered by how strongly the researchers Xiaolei Ma trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Impacts of free-floating bikesharing system on public transit ridership (2019) — 130 citations
- 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
- 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
- Mining smart card data for transit riders’ travel patterns (2013) — 601 citations