Haibo Huang

Computational Mechanics · 2009–2020

A researcher in the Science corpus: 6 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haibo Huang trusts overall

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

  1. Pierre Lallemand
  2. Chong Pan
  3. Haihu Liu
  4. Li-Shi Luo
  5. Markus Hilpert
  6. Diederik P. Kingma
  7. Qinjun Kang
  8. Albert J. Valocchi
  9. Michael C. Sukop
  10. Cass T. Miller

Who trusts Haibo Huang overall

  1. Huili Wang
  2. Haihu Liu
  3. Xiaolei Yuan

Papers from Haibo Huang's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  6. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers