Yinghao Yu

Building and Construction · with Qi · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Building and Construction — 17 citations into it
• Transportation — 13 citations into it

Whom Yinghao Yu trusts overall

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

1. Billy M. Williams
2. Xiaolei Ma
3. Alex Krizhevsky
4. S. V. Kumar
5. Shiliang Sun
6. Jiliang Tang
7. Jianhua Guo
8. Manoel Castro-Neto
9. Joaquín Derrac

Papers from Yinghao Yu's perspective

Ordered by how strongly the researchers Yinghao Yu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. A multivariate state space approach for urban traffic flow modeling and prediction
4. Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (Journal of transportation engineering)
5. Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (Expert systems with applications)
6. Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning (IEEE transactions on intelligent transportation systems (Print))
7. Traffic Flow Prediction With Big Data: A Deep Learning Approach (IEEE transactions on intelligent transportation systems (Print))
8. Statistical methods versus neural networks in transportation research: Differences, similarities and some insights
9. Gradient-based learning applied to document recognition
10. Long Short-Term Memory

Their papers

• Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning (2019) — 363 citations