Zhongliang Jing

Artificial Intelligence · with Hu · 2020

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhongliang Jing trusts

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

  1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Jianmin Wang (in Artificial Intelligence)
  4. Mingsheng Long (in Artificial Intelligence)
  5. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  6. Trevor Darrell (in Computer Vision and Pattern Recognition)
  7. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  8. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  9. X. Zhang (in Computer Vision and Pattern Recognition)
  10. Michael I. Jordan (in Artificial Intelligence)

Papers from Zhongliang Jing's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet Large Scale Visual Recognition Challenge
  4. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
  5. Fully convolutional networks for semantic segmentation
  6. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  7. Adapting Visual Category Models to New Domains
  8. How transferable are features in deep neural networks?
  9. Caltech-256 Object Category Dataset
  10. Generative Adversarial Nets (Neural Information Processing Systems)

Their papers