Huang Lin

Artificial Intelligence · with Hubaux · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Huang Lin trusts overall

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

  1. Ran Canetti
  2. D. Wood
  3. Toon Calders
  4. Faisal Kamiran
  5. Salvatore Ruggieri
  6. Victor Costan

Papers from Huang Lin's perspective

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

  1. ImageNet: A large-scale hierarchical image database
  2. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  3. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
  4. Caffe: Convolutional Architecture for Fast Feature Embedding
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Gradient-based learning applied to document recognition
  8. Shielding Applications from an Untrusted Cloud with Haven
  9. Controlled-Channel Attacks: Deterministic Side Channels for Untrusted Operating Systems
  10. Oblivious Multi-Party Machine Learning on Trusted Processors

Their papers