Siyu Lu

AAAI Conference on Artificial Intelligence · with Gong · 2018

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

Whom Siyu Lu trusts

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

  1. Alex Graves (in Generative Models)

Papers from Siyu Lu's perspective

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

  1. Generating Sequences With Recurrent Neural Networks
  2. Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies
  3. XGBoost: A Scalable Tree Boosting System
  4. LINE: Large-scale Information Network Embedding
  5. Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (AAAI Conference on Artificial Intelligence)
  6. DNN-based prediction model for spatio-temporal data
  7. Prediction of urban human mobility using large-scale taxi traces and its applications (Frontiers of Computer Science)
  8. Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting
  9. Time-Dependent Trajectory Regression on Road Networks via Multi-Task Learning
  10. Predicting Taxi–Passenger Demand Using Streaming Data (IEEE transactions on intelligent transportation systems (Print))

Their papers