Jie Tang

Electrical and Electronic Engineering · IEEE wireless communications · 2012–2022

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jie Tang trusts overall

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

  1. Yong Zeng
  2. Qingqing Wu
  3. Rui Zhang
  4. Jonathan Petit
  5. Morgan Quigley

Who trusts Jie Tang overall

  1. John S. Vardakas

Papers from Jie Tang's perspective

Ordered by how strongly the researchers Jie Tang 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. Are we ready for autonomous driving? The KITTI vision benchmark suite
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Wireless communications with unmanned aerial vehicles: opportunities and challenges (IEEE Communications Magazine)
  10. Optimal LAP Altitude for Maximum Coverage (IEEE Wireless Communications Letters)

Their papers