Jiechao Gao

2019 IEEE International Conference on Big Data (Big Data) · 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.

Whom Jiechao Gao trusts overall

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

  1. Zachary Chase Lipton
  2. Alexey Tumanov
  3. Johan A. K. Suykens

Papers from Jiechao Gao's perspective

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

  1. Learning to Forget: Continual Prediction with LSTM
  2. A Critical Review of Recurrent Neural Networks for Sequence Learning
  3. Least Squares Support Vector Machine Classifiers
  4. Heterogeneity and dynamicity of clouds at scale: Google trace analysis (ACM Symposium on Cloud Computing)
  5. An evolutionary algorithm that constructs recurrent neural networks
  6. Availability in Globally Distributed Storage Systems (USENIX Symposium on Operating Systems Design and Implementation)
  7. Long Short Term Memory Recurrent Neural Network (LSTM-RNN) Based Workload Forecasting Model For Cloud Datacenters
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet classification with deep convolutional neural networks
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers