Yige Wang
Artificial Intelligence · 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
- Artificial Intelligence — 6 citations into it
Whom Yige Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yige Wang's perspective
Ordered by how strongly the researchers Yige Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach
- Data-Driven Intelligent Transportation Systems: A Survey (IEEE transactions on intelligent transportation systems (Print))
- Traffic Flow Prediction With Big Data: A Deep Learning Approach (IEEE transactions on intelligent transportation systems (Print))
- Origin-destination trips by purpose and time of day inferred from mobile phone data
- Reinforcement learning for true adaptive traffic signal control
- Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning (IEEE transactions on intelligent transportation systems (Print))
- Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory
- Smart card data use in public transit: A literature review
- The path most traveled: Travel demand estimation using big data resources
- Accurate freeway travel time prediction with state-space neural networks under missing data
Their papers
- Big Data Analytics in Intelligent Transportation Systems: A Survey (2019) — 869 citations