Li Zhu

Artificial Intelligence · with Tang · 2013–2019

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Li Zhu trusts overall

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

  1. J. Ross Quinlan
  2. Xiaolei Ma
  3. Lauren P. Alexander
  4. Eleni I. Vlahogianni
  5. J. V. Lint
  6. Jameson L. Toole
  7. Junping Zhang
  8. Haiyang Yu
  9. J. Moon
  10. Matthew G. Karlaftis

Papers from Li Zhu's perspective

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

  1. Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach
  2. Data-Driven Intelligent Transportation Systems: A Survey (IEEE transactions on intelligent transportation systems (Print))
  3. Origin-destination trips by purpose and time of day inferred from mobile phone data
  4. Traffic Flow Prediction With Big Data: A Deep Learning Approach (IEEE transactions on intelligent transportation systems (Print))
  5. Reinforcement learning for true adaptive traffic signal control
  6. Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning (IEEE transactions on intelligent transportation systems (Print))
  7. Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory
  8. Smart card data use in public transit: A literature review
  9. The path most traveled: Travel demand estimation using big data resources
  10. Accurate freeway travel time prediction with state-space neural networks under missing data

Their papers